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    <title>SourceScore VERITAS — verified AI/ML claims</title>
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    <description>Signed, sourced, citable AI/ML claims. Each item has 2+ primary sources and an HMAC-SHA256 signature. New claims are added regularly; subscribe to follow.</description>
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    <lastBuildDate>Fri, 26 Jun 2026 12:12:17 GMT</lastBuildDate>
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    <item>
      <title>Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017).</title>
      <link>https://sourcescore.org/claims/ad17e76a8baad7a1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ad17e76a8baad7a1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017). Verified 2026-05-16. Confidence 100%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ad17e76a8baad7a1.json.</description>
      <category>transformer, attention, foundational, vaswani, 2017, nips</category>
    </item>
    <item>
      <title>Reinforcement Learning from Human Feedback (RLHF) introduced in paper: Deep Reinforcement Learning from Human Preferences (Christiano et al., 2017).</title>
      <link>https://sourcescore.org/claims/67866330cd60e54d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/67866330cd60e54d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Reinforcement Learning from Human Feedback (RLHF) introduced in paper: Deep Reinforcement Learning from Human Preferences (Christiano et al., 2017). Verified 2026-05-16. Confidence 100%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/67866330cd60e54d.json.</description>
      <category>rlhf, alignment, foundational, christiano, 2017, nips</category>
    </item>
    <item>
      <title>Retrieval-Augmented Generation (RAG) introduced in paper: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Lewis et al., 2020).</title>
      <link>https://sourcescore.org/claims/d15057ced937a103/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d15057ced937a103/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Retrieval-Augmented Generation (RAG) introduced in paper: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Lewis et al., 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d15057ced937a103.json.</description>
      <category>rag, retrieval, foundational, lewis, 2020, nips, facebook</category>
    </item>
    <item>
      <title>Low-Rank Adaptation (LoRA) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021).</title>
      <link>https://sourcescore.org/claims/d7b97d1b93d8d8bc/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d7b97d1b93d8d8bc/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Low-Rank Adaptation (LoRA) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d7b97d1b93d8d8bc.json.</description>
      <category>lora, fine-tuning, foundational, hu, 2021, microsoft</category>
    </item>
    <item>
      <title>Direct Preference Optimization (DPO) introduced in paper: Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Rafailov et al., 2023).</title>
      <link>https://sourcescore.org/claims/a3e691683a4577af/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a3e691683a4577af/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Direct Preference Optimization (DPO) introduced in paper: Direct Preference Optimization: Your Language Model is Secretly a Reward Model (Rafailov et al., 2023). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a3e691683a4577af.json.</description>
      <category>dpo, alignment, foundational, rafailov, 2023, nips, stanford</category>
    </item>
    <item>
      <title>Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022).</title>
      <link>https://sourcescore.org/claims/ba1eb83c14795107/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ba1eb83c14795107/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Constitutional AI (CAI) introduced in paper: Constitutional AI: Harmlessness from AI Feedback (Bai et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ba1eb83c14795107.json.</description>
      <category>constitutional-ai, alignment, anthropic, 2022, bai</category>
    </item>
    <item>
      <title>InstructGPT methodology introduced in paper: Training language models to follow instructions with human feedback (Ouyang et al., 2022).</title>
      <link>https://sourcescore.org/claims/5da8f8dffc038b8e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5da8f8dffc038b8e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>InstructGPT methodology introduced in paper: Training language models to follow instructions with human feedback (Ouyang et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5da8f8dffc038b8e.json.</description>
      <category>instructgpt, alignment, openai, 2022, ouyang, rlhf</category>
    </item>
    <item>
      <title>FlashAttention introduced in paper: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Dao et al., 2022).</title>
      <link>https://sourcescore.org/claims/e120182d1e01ea2b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e120182d1e01ea2b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>FlashAttention introduced in paper: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Dao et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e120182d1e01ea2b.json.</description>
      <category>flash-attention, performance, dao, 2022, stanford</category>
    </item>
    <item>
      <title>CLIP (Contrastive Language-Image Pretraining) introduced in paper: Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021).</title>
      <link>https://sourcescore.org/claims/85a3ca745eaf4ee0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/85a3ca745eaf4ee0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>CLIP (Contrastive Language-Image Pretraining) introduced in paper: Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/85a3ca745eaf4ee0.json.</description>
      <category>clip, multimodal, vision, radford, 2021, openai</category>
    </item>
    <item>
      <title>ChatGPT released on: 2022-11-30.</title>
      <link>https://sourcescore.org/claims/8d653880c519a8ef/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8d653880c519a8ef/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ChatGPT released on: 2022-11-30. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8d653880c519a8ef.json.</description>
      <category>chatgpt, openai, release, 2022, gpt-3.5</category>
    </item>
    <item>
      <title>GPT-4 released on: 2023-03-14.</title>
      <link>https://sourcescore.org/claims/09eea8fb1a8ccebf/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/09eea8fb1a8ccebf/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-4 released on: 2023-03-14. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/09eea8fb1a8ccebf.json.</description>
      <category>gpt-4, openai, release, 2023</category>
    </item>
    <item>
      <title>GPT-4 Turbo context window tokens: 128000.</title>
      <link>https://sourcescore.org/claims/26314e3164e18b24/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/26314e3164e18b24/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-4 Turbo context window tokens: 128000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/26314e3164e18b24.json.</description>
      <category>gpt-4-turbo, context, openai, 128k, devday</category>
    </item>
    <item>
      <title>GPT-4o released on: 2024-05-13.</title>
      <link>https://sourcescore.org/claims/bd065b91ca6e880b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bd065b91ca6e880b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-4o released on: 2024-05-13. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bd065b91ca6e880b.json.</description>
      <category>gpt-4o, openai, release, 2024, multimodal</category>
    </item>
    <item>
      <title>Claude 3.5 Sonnet released on: 2024-06-20.</title>
      <link>https://sourcescore.org/claims/9fc5fb203abbf250/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9fc5fb203abbf250/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Claude 3.5 Sonnet released on: 2024-06-20. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9fc5fb203abbf250.json.</description>
      <category>claude-3.5, sonnet, anthropic, release, 2024</category>
    </item>
    <item>
      <title>Claude 3 Opus context window tokens: 200000.</title>
      <link>https://sourcescore.org/claims/565df27fc8b75ef0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/565df27fc8b75ef0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Claude 3 Opus context window tokens: 200000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/565df27fc8b75ef0.json.</description>
      <category>claude-3, opus, anthropic, context, 200k</category>
    </item>
    <item>
      <title>Llama 2 released on: 2023-07-18.</title>
      <link>https://sourcescore.org/claims/34dd74941bc7bd48/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/34dd74941bc7bd48/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 2 released on: 2023-07-18. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/34dd74941bc7bd48.json.</description>
      <category>llama-2, meta, release, 2023, open-weights</category>
    </item>
    <item>
      <title>Llama 3.1 released on: 2024-07-23.</title>
      <link>https://sourcescore.org/claims/a55484ab8b4bdf4e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a55484ab8b4bdf4e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3.1 released on: 2024-07-23. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a55484ab8b4bdf4e.json.</description>
      <category>llama-3.1, meta, release, 2024, open-weights, 405b</category>
    </item>
    <item>
      <title>Llama 3.1 405B parameter count: 405000000000.</title>
      <link>https://sourcescore.org/claims/282b0523eefd9afd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/282b0523eefd9afd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3.1 405B parameter count: 405000000000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/282b0523eefd9afd.json.</description>
      <category>llama-3.1, parameters, 405b, meta</category>
    </item>
    <item>
      <title>Mixtral 8x7B released on: 2023-12-11.</title>
      <link>https://sourcescore.org/claims/410aec4f418f2b11/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/410aec4f418f2b11/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mixtral 8x7B released on: 2023-12-11. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/410aec4f418f2b11.json.</description>
      <category>mixtral, mistral, release, 2023, moe, sparse</category>
    </item>
    <item>
      <title>Mixtral 8x7B architecture: Sparse Mixture-of-Experts (8 experts × 7B params, 2 experts routed per token).</title>
      <link>https://sourcescore.org/claims/ad79b14fafb362cd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ad79b14fafb362cd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mixtral 8x7B architecture: Sparse Mixture-of-Experts (8 experts × 7B params, 2 experts routed per token). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ad79b14fafb362cd.json.</description>
      <category>mixtral, moe, architecture, mistral</category>
    </item>
    <item>
      <title>Gemini Pro released on: 2023-12-06.</title>
      <link>https://sourcescore.org/claims/e2a6019bd2ce5c97/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e2a6019bd2ce5c97/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Gemini Pro released on: 2023-12-06. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e2a6019bd2ce5c97.json.</description>
      <category>gemini, google, release, 2023</category>
    </item>
    <item>
      <title>Whisper released on: 2022-09-21.</title>
      <link>https://sourcescore.org/claims/a3ebbaed14bd83d0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a3ebbaed14bd83d0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Whisper released on: 2022-09-21. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a3ebbaed14bd83d0.json.</description>
      <category>whisper, openai, speech, asr, release, 2022</category>
    </item>
    <item>
      <title>Anthropic founded in: 2021.</title>
      <link>https://sourcescore.org/claims/dc53356a0a39c8de/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dc53356a0a39c8de/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic founded in: 2021. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dc53356a0a39c8de.json.</description>
      <category>anthropic, company, founded, 2021</category>
    </item>
    <item>
      <title>OpenAI founded in: 2015.</title>
      <link>https://sourcescore.org/claims/64a2379efebe62ee/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/64a2379efebe62ee/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI founded in: 2015. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/64a2379efebe62ee.json.</description>
      <category>openai, company, founded, 2015</category>
    </item>
    <item>
      <title>Mistral AI founded in: 2023.</title>
      <link>https://sourcescore.org/claims/db8e97f3583db317/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/db8e97f3583db317/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral AI founded in: 2023. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/db8e97f3583db317.json.</description>
      <category>mistral, company, founded, 2023</category>
    </item>
    <item>
      <title>Hugging Face founded in: 2016.</title>
      <link>https://sourcescore.org/claims/0e28201946131976/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0e28201946131976/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Hugging Face founded in: 2016. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0e28201946131976.json.</description>
      <category>hugging-face, company, founded, 2016</category>
    </item>
    <item>
      <title>BERT (Bidirectional Encoder Representations from Transformers) introduced in paper: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (Devlin et al., 2018).</title>
      <link>https://sourcescore.org/claims/4c1ee70007dc89c1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4c1ee70007dc89c1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>BERT (Bidirectional Encoder Representations from Transformers) introduced in paper: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (Devlin et al., 2018). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4c1ee70007dc89c1.json.</description>
      <category>bert, foundational, devlin, 2018, google, nlp</category>
    </item>
    <item>
      <title>GPT-2 introduced in paper: Language Models are Unsupervised Multitask Learners (Radford et al., 2019).</title>
      <link>https://sourcescore.org/claims/859551dc078c46f8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/859551dc078c46f8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-2 introduced in paper: Language Models are Unsupervised Multitask Learners (Radford et al., 2019). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/859551dc078c46f8.json.</description>
      <category>gpt-2, foundational, openai, radford, 2019</category>
    </item>
    <item>
      <title>ResNet (Residual Networks) introduced in paper: Deep Residual Learning for Image Recognition (He et al., 2015).</title>
      <link>https://sourcescore.org/claims/4f55f77c4bfb316e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4f55f77c4bfb316e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ResNet (Residual Networks) introduced in paper: Deep Residual Learning for Image Recognition (He et al., 2015). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4f55f77c4bfb316e.json.</description>
      <category>resnet, foundational, vision, he, 2015, microsoft, cvpr</category>
    </item>
    <item>
      <title>T5 (Text-to-Text Transfer Transformer) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019).</title>
      <link>https://sourcescore.org/claims/ef28341c3b308737/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ef28341c3b308737/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>T5 (Text-to-Text Transfer Transformer) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ef28341c3b308737.json.</description>
      <category>t5, foundational, transfer-learning, raffel, 2019, google</category>
    </item>
    <item>
      <title>Sparsely-Gated Mixture-of-Experts (MoE) introduced in paper: Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer (Shazeer et al., 2017).</title>
      <link>https://sourcescore.org/claims/2d6d7f61f1db6493/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2d6d7f61f1db6493/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Sparsely-Gated Mixture-of-Experts (MoE) introduced in paper: Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer (Shazeer et al., 2017). Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2d6d7f61f1db6493.json.</description>
      <category>moe, foundational, shazeer, 2017, google</category>
    </item>
    <item>
      <title>Switch Transformer introduced in paper: Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Fedus et al., 2021).</title>
      <link>https://sourcescore.org/claims/3d9c14b9379038c9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3d9c14b9379038c9/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Switch Transformer introduced in paper: Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Fedus et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3d9c14b9379038c9.json.</description>
      <category>switch-transformer, moe, foundational, fedus, 2021, google</category>
    </item>
    <item>
      <title>Chinchilla scaling laws introduced in paper: Training Compute-Optimal Large Language Models (Hoffmann et al., 2022).</title>
      <link>https://sourcescore.org/claims/8befcae6bce01a95/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8befcae6bce01a95/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Chinchilla scaling laws introduced in paper: Training Compute-Optimal Large Language Models (Hoffmann et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8befcae6bce01a95.json.</description>
      <category>chinchilla, scaling-laws, foundational, hoffmann, 2022, deepmind, nips</category>
    </item>
    <item>
      <title>Proximal Policy Optimization (PPO) introduced in paper: Proximal Policy Optimization Algorithms (Schulman et al., 2017).</title>
      <link>https://sourcescore.org/claims/00f224e1ccc158ef/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/00f224e1ccc158ef/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Proximal Policy Optimization (PPO) introduced in paper: Proximal Policy Optimization Algorithms (Schulman et al., 2017). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/00f224e1ccc158ef.json.</description>
      <category>ppo, reinforcement-learning, foundational, schulman, 2017, openai, rlhf</category>
    </item>
    <item>
      <title>Mamba state-space model introduced in paper: Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Gu, Dao, 2023).</title>
      <link>https://sourcescore.org/claims/3518f8aa40cb0d36/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3518f8aa40cb0d36/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mamba state-space model introduced in paper: Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Gu, Dao, 2023). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3518f8aa40cb0d36.json.</description>
      <category>mamba, state-space, foundational, gu, dao, 2023</category>
    </item>
    <item>
      <title>Chain-of-Thought prompting introduced in paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022).</title>
      <link>https://sourcescore.org/claims/3af924da138ff84c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3af924da138ff84c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Chain-of-Thought prompting introduced in paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3af924da138ff84c.json.</description>
      <category>chain-of-thought, cot, prompting, foundational, wei, 2022, google, nips</category>
    </item>
    <item>
      <title>Adam optimizer introduced in paper: Adam: A Method for Stochastic Optimization (Kingma, Ba, 2014).</title>
      <link>https://sourcescore.org/claims/dffbe905003cc581/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dffbe905003cc581/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Adam optimizer introduced in paper: Adam: A Method for Stochastic Optimization (Kingma, Ba, 2014). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dffbe905003cc581.json.</description>
      <category>adam, optimizer, foundational, kingma, 2014, iclr</category>
    </item>
    <item>
      <title>AlexNet introduced in paper: ImageNet Classification with Deep Convolutional Neural Networks (Krizhevsky, Sutskever, Hinton, 2012).</title>
      <link>https://sourcescore.org/claims/98b6e774be89d967/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/98b6e774be89d967/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlexNet introduced in paper: ImageNet Classification with Deep Convolutional Neural Networks (Krizhevsky, Sutskever, Hinton, 2012). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/98b6e774be89d967.json.</description>
      <category>alexnet, foundational, vision, krizhevsky, hinton, 2012, nips, imagenet</category>
    </item>
    <item>
      <title>Llama 1 released on: 2023-02-24.</title>
      <link>https://sourcescore.org/claims/5ce2e90fafdca0c2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5ce2e90fafdca0c2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 1 released on: 2023-02-24. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5ce2e90fafdca0c2.json.</description>
      <category>llama-1, meta, release, 2023</category>
    </item>
    <item>
      <title>Llama 3 released on: 2024-04-18.</title>
      <link>https://sourcescore.org/claims/5f599876b3dd19b3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5f599876b3dd19b3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3 released on: 2024-04-18. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5f599876b3dd19b3.json.</description>
      <category>llama-3, meta, release, 2024, open-weights</category>
    </item>
    <item>
      <title>Llama 3 70B parameter count: 70000000000.</title>
      <link>https://sourcescore.org/claims/e4581034693f4584/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e4581034693f4584/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3 70B parameter count: 70000000000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e4581034693f4584.json.</description>
      <category>llama-3, parameters, 70b, meta</category>
    </item>
    <item>
      <title>Claude 3 family (Opus, Sonnet, Haiku) released on: 2024-03-04.</title>
      <link>https://sourcescore.org/claims/99340a18716a44fb/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/99340a18716a44fb/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Claude 3 family (Opus, Sonnet, Haiku) released on: 2024-03-04. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/99340a18716a44fb.json.</description>
      <category>claude-3, opus, sonnet, haiku, anthropic, release, 2024</category>
    </item>
    <item>
      <title>Gemini 1.5 Pro announced on: 2024-02-15.</title>
      <link>https://sourcescore.org/claims/b55da789dba1c76b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b55da789dba1c76b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Gemini 1.5 Pro announced on: 2024-02-15. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b55da789dba1c76b.json.</description>
      <category>gemini-1.5, google, announcement, 2024</category>
    </item>
    <item>
      <title>Mistral 7B released on: 2023-09-27.</title>
      <link>https://sourcescore.org/claims/2d5a5dc30e7f6f02/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2d5a5dc30e7f6f02/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral 7B released on: 2023-09-27. Verified 2026-05-16. Confidence 100%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2d5a5dc30e7f6f02.json.</description>
      <category>mistral-7b, mistral, release, 2023, open-weights</category>
    </item>
    <item>
      <title>Stable Diffusion 1.0 released on: 2022-08-22.</title>
      <link>https://sourcescore.org/claims/f6f333228f224df2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f6f333228f224df2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stable Diffusion 1.0 released on: 2022-08-22. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f6f333228f224df2.json.</description>
      <category>stable-diffusion, stability-ai, release, 2022, image-generation</category>
    </item>
    <item>
      <title>DALL-E 3 announced on: 2023-09-20.</title>
      <link>https://sourcescore.org/claims/ce5275632f16109a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ce5275632f16109a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DALL-E 3 announced on: 2023-09-20. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ce5275632f16109a.json.</description>
      <category>dall-e-3, openai, image-generation, 2023</category>
    </item>
    <item>
      <title>Sora (OpenAI video generation model) announced on: 2024-02-15.</title>
      <link>https://sourcescore.org/claims/5697b2a15693e6c0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5697b2a15693e6c0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Sora (OpenAI video generation model) announced on: 2024-02-15. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5697b2a15693e6c0.json.</description>
      <category>sora, openai, video-generation, 2024</category>
    </item>
    <item>
      <title>ChatGPT Plus launched on: 2023-02-01.</title>
      <link>https://sourcescore.org/claims/461dd4dbccd9038d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/461dd4dbccd9038d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ChatGPT Plus launched on: 2023-02-01. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/461dd4dbccd9038d.json.</description>
      <category>chatgpt-plus, openai, subscription, launch, 2023</category>
    </item>
    <item>
      <title>GPT-3 parameter count: 175000000000.</title>
      <link>https://sourcescore.org/claims/1ca2cc2864dfb376/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1ca2cc2864dfb376/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-3 parameter count: 175000000000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1ca2cc2864dfb376.json.</description>
      <category>gpt-3, openai, parameters, 175b, brown, 2020</category>
    </item>
    <item>
      <title>Stability AI founded in: 2019.</title>
      <link>https://sourcescore.org/claims/d23bd1687a3ea44a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d23bd1687a3ea44a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stability AI founded in: 2019. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d23bd1687a3ea44a.json.</description>
      <category>stability-ai, company, founded, 2019</category>
    </item>
    <item>
      <title>DeepMind acquired by google on: 2014-01-26.</title>
      <link>https://sourcescore.org/claims/25a8f486a0947790/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/25a8f486a0947790/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DeepMind acquired by google on: 2014-01-26. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/25a8f486a0947790.json.</description>
      <category>deepmind, google, acquisition, 2014, company</category>
    </item>
    <item>
      <title>ImageNet dataset introduced in paper: ImageNet: A Large-Scale Hierarchical Image Database (Deng et al., 2009).</title>
      <link>https://sourcescore.org/claims/045e628def62181d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/045e628def62181d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ImageNet dataset introduced in paper: ImageNet: A Large-Scale Hierarchical Image Database (Deng et al., 2009). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/045e628def62181d.json.</description>
      <category>imagenet, dataset, vision, foundational, fei-fei-li, 2009, cvpr</category>
    </item>
    <item>
      <title>Vision Transformer (ViT) introduced in paper: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Dosovitskiy et al., 2020).</title>
      <link>https://sourcescore.org/claims/d3681b0981e0b700/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d3681b0981e0b700/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Vision Transformer (ViT) introduced in paper: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Dosovitskiy et al., 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d3681b0981e0b700.json.</description>
      <category>vit, vision-transformer, foundational, dosovitskiy, 2020, google, iclr</category>
    </item>
    <item>
      <title>AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021).</title>
      <link>https://sourcescore.org/claims/477bc19212addf9a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/477bc19212addf9a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/477bc19212addf9a.json.</description>
      <category>alphafold, deepmind, biology, 2021, nature, protein</category>
    </item>
    <item>
      <title>Generative Adversarial Networks (GANs) introduced in paper: Generative Adversarial Networks (Goodfellow et al., 2014).</title>
      <link>https://sourcescore.org/claims/5b0c0612bd9e55b0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5b0c0612bd9e55b0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Generative Adversarial Networks (GANs) introduced in paper: Generative Adversarial Networks (Goodfellow et al., 2014). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5b0c0612bd9e55b0.json.</description>
      <category>gan, foundational, goodfellow, 2014, nips, generative</category>
    </item>
    <item>
      <title>Variational Autoencoder (VAE) introduced in paper: Auto-Encoding Variational Bayes (Kingma, Welling, 2013).</title>
      <link>https://sourcescore.org/claims/62789e45973ab631/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/62789e45973ab631/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Variational Autoencoder (VAE) introduced in paper: Auto-Encoding Variational Bayes (Kingma, Welling, 2013). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/62789e45973ab631.json.</description>
      <category>vae, foundational, kingma, welling, 2013, iclr, generative</category>
    </item>
    <item>
      <title>Denoising Diffusion Probabilistic Models (DDPM) introduced in paper: Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020).</title>
      <link>https://sourcescore.org/claims/e700f81fff6f38c7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e700f81fff6f38c7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Denoising Diffusion Probabilistic Models (DDPM) introduced in paper: Denoising Diffusion Probabilistic Models (Ho, Jain, Abbeel, 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e700f81fff6f38c7.json.</description>
      <category>ddpm, diffusion, foundational, ho, 2020, nips, image-generation</category>
    </item>
    <item>
      <title>Word2Vec introduced in paper: Efficient Estimation of Word Representations in Vector Space (Mikolov et al., 2013).</title>
      <link>https://sourcescore.org/claims/4978f76d228a3db1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4978f76d228a3db1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Word2Vec introduced in paper: Efficient Estimation of Word Representations in Vector Space (Mikolov et al., 2013). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4978f76d228a3db1.json.</description>
      <category>word2vec, embeddings, foundational, mikolov, 2013, google, nlp</category>
    </item>
    <item>
      <title>Byte-Pair Encoding (BPE) for Neural Machine Translation introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015).</title>
      <link>https://sourcescore.org/claims/e942c93d70a4dab2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e942c93d70a4dab2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Byte-Pair Encoding (BPE) for Neural Machine Translation introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e942c93d70a4dab2.json.</description>
      <category>bpe, tokenization, foundational, sennrich, 2015, acl, nmt</category>
    </item>
    <item>
      <title>MMLU benchmark introduced in paper: Measuring Massive Multitask Language Understanding (Hendrycks et al., 2020).</title>
      <link>https://sourcescore.org/claims/428d754e7c651be6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/428d754e7c651be6/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>MMLU benchmark introduced in paper: Measuring Massive Multitask Language Understanding (Hendrycks et al., 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/428d754e7c651be6.json.</description>
      <category>mmlu, benchmark, hendrycks, 2020, iclr, evaluation</category>
    </item>
    <item>
      <title>HumanEval benchmark introduced in paper: Evaluating Large Language Models Trained on Code (Chen et al., 2021).</title>
      <link>https://sourcescore.org/claims/71ec42731d2c9e0c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/71ec42731d2c9e0c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>HumanEval benchmark introduced in paper: Evaluating Large Language Models Trained on Code (Chen et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/71ec42731d2c9e0c.json.</description>
      <category>humaneval, benchmark, codex, openai, chen, 2021, code-generation</category>
    </item>
    <item>
      <title>Llama 2 70B parameter count: 70000000000.</title>
      <link>https://sourcescore.org/claims/a4fc4391a27f0500/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a4fc4391a27f0500/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 2 70B parameter count: 70000000000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a4fc4391a27f0500.json.</description>
      <category>llama-2, parameters, 70b, meta</category>
    </item>
    <item>
      <title>Llama 3 8B parameter count: 8000000000.</title>
      <link>https://sourcescore.org/claims/8455a8b9d44fecbe/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8455a8b9d44fecbe/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3 8B parameter count: 8000000000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8455a8b9d44fecbe.json.</description>
      <category>llama-3, parameters, 8b, meta</category>
    </item>
    <item>
      <title>GPT-4o mini released on: 2024-07-18.</title>
      <link>https://sourcescore.org/claims/1a4cf45e8b967089/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1a4cf45e8b967089/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-4o mini released on: 2024-07-18. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1a4cf45e8b967089.json.</description>
      <category>gpt-4o-mini, openai, release, 2024</category>
    </item>
    <item>
      <title>Claude 3.5 Haiku released on: 2024-11-04.</title>
      <link>https://sourcescore.org/claims/cdc82d4d6c880ba3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cdc82d4d6c880ba3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Claude 3.5 Haiku released on: 2024-11-04. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cdc82d4d6c880ba3.json.</description>
      <category>claude-3.5-haiku, anthropic, release, 2024</category>
    </item>
    <item>
      <title>Phi-3 (Microsoft small language model family) released on: 2024-04-23.</title>
      <link>https://sourcescore.org/claims/2d20c4a92620ba46/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2d20c4a92620ba46/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Phi-3 (Microsoft small language model family) released on: 2024-04-23. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2d20c4a92620ba46.json.</description>
      <category>phi-3, microsoft, release, 2024, slm</category>
    </item>
    <item>
      <title>DeepSeek V3 released on: 2024-12-26.</title>
      <link>https://sourcescore.org/claims/6aa7e9c75d084617/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6aa7e9c75d084617/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DeepSeek V3 released on: 2024-12-26. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6aa7e9c75d084617.json.</description>
      <category>deepseek-v3, deepseek, release, 2024, open-weights</category>
    </item>
    <item>
      <title>Llama 3.2 (multimodal release including 11B and 90B vision models) released on: 2024-09-25.</title>
      <link>https://sourcescore.org/claims/e27816c692a28ce9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e27816c692a28ce9/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3.2 (multimodal release including 11B and 90B vision models) released on: 2024-09-25. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e27816c692a28ce9.json.</description>
      <category>llama-3.2, meta, release, 2024, multimodal, vision</category>
    </item>
    <item>
      <title>Llama 3.3 70B released on: 2024-12-06.</title>
      <link>https://sourcescore.org/claims/97c04944b4c6345a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/97c04944b4c6345a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 3.3 70B released on: 2024-12-06. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/97c04944b4c6345a.json.</description>
      <category>llama-3.3, meta, release, 2024, open-weights</category>
    </item>
    <item>
      <title>Gemini 2.0 announced on: 2024-12-11.</title>
      <link>https://sourcescore.org/claims/bc1d6baa80070e80/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bc1d6baa80070e80/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Gemini 2.0 announced on: 2024-12-11. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bc1d6baa80070e80.json.</description>
      <category>gemini-2.0, google, deepmind, announcement, 2024</category>
    </item>
    <item>
      <title>Grok (xAI) announced on: 2023-11-04.</title>
      <link>https://sourcescore.org/claims/930c3c71363acee5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/930c3c71363acee5/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Grok (xAI) announced on: 2023-11-04. Verified 2026-05-16. Confidence 95%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/930c3c71363acee5.json.</description>
      <category>grok, xai, announcement, 2023</category>
    </item>
    <item>
      <title>GPT-4o context window tokens: 128000.</title>
      <link>https://sourcescore.org/claims/118226d52c6f7491/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/118226d52c6f7491/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-4o context window tokens: 128000. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/118226d52c6f7491.json.</description>
      <category>gpt-4o, context, openai, 128k</category>
    </item>
    <item>
      <title>Sora (public release to ChatGPT Plus subscribers) released on: 2024-12-09.</title>
      <link>https://sourcescore.org/claims/409b828ed9f8410b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/409b828ed9f8410b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Sora (public release to ChatGPT Plus subscribers) released on: 2024-12-09. Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/409b828ed9f8410b.json.</description>
      <category>sora, openai, release, 2024, video-generation</category>
    </item>
    <item>
      <title>Cohere founded in: 2019.</title>
      <link>https://sourcescore.org/claims/cf4cbf71dc7dd19a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cf4cbf71dc7dd19a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cohere founded in: 2019. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cf4cbf71dc7dd19a.json.</description>
      <category>cohere, company, founded, 2019</category>
    </item>
    <item>
      <title>xAI founded in: 2023.</title>
      <link>https://sourcescore.org/claims/e5084c3f7023114b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e5084c3f7023114b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>xAI founded in: 2023. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e5084c3f7023114b.json.</description>
      <category>xai, company, founded, 2023, musk</category>
    </item>
    <item>
      <title>Common Crawl founded in: 2007.</title>
      <link>https://sourcescore.org/claims/4a2689e6230ef2e1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4a2689e6230ef2e1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Common Crawl founded in: 2007. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4a2689e6230ef2e1.json.</description>
      <category>common-crawl, dataset, founded, 2007</category>
    </item>
    <item>
      <title>ReAct (Reasoning + Acting) introduced in paper: ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022).</title>
      <link>https://sourcescore.org/claims/fceea64fa7d04d3a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fceea64fa7d04d3a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ReAct (Reasoning + Acting) introduced in paper: ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fceea64fa7d04d3a.json.</description>
      <category>react, reasoning, agents, tool-use, foundational, 2022, yao</category>
    </item>
    <item>
      <title>LoRA (Low-Rank Adaptation) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021).</title>
      <link>https://sourcescore.org/claims/f191b2876790dc6e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f191b2876790dc6e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LoRA (Low-Rank Adaptation) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f191b2876790dc6e.json.</description>
      <category>lora, peft, fine-tuning, foundational, 2021, microsoft</category>
    </item>
    <item>
      <title>QLoRA introduced in paper: QLoRA: Efficient Finetuning of Quantized LLMs (Dettmers et al., 2023).</title>
      <link>https://sourcescore.org/claims/767cbe41c961be1a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/767cbe41c961be1a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>QLoRA introduced in paper: QLoRA: Efficient Finetuning of Quantized LLMs (Dettmers et al., 2023). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/767cbe41c961be1a.json.</description>
      <category>qlora, quantization, peft, fine-tuning, foundational, 2023</category>
    </item>
    <item>
      <title>Rotary Position Embedding (RoPE) introduced in paper: RoFormer: Enhanced Transformer with Rotary Position Embedding (Su et al., 2021).</title>
      <link>https://sourcescore.org/claims/f8d64457ba9fd35b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f8d64457ba9fd35b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Rotary Position Embedding (RoPE) introduced in paper: RoFormer: Enhanced Transformer with Rotary Position Embedding (Su et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f8d64457ba9fd35b.json.</description>
      <category>rope, position-embedding, transformer, foundational, 2021</category>
    </item>
    <item>
      <title>Byte-Pair Encoding (BPE) for NMT introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015).</title>
      <link>https://sourcescore.org/claims/aede848e23c8de8e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/aede848e23c8de8e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Byte-Pair Encoding (BPE) for NMT introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/aede848e23c8de8e.json.</description>
      <category>bpe, tokenization, subword, foundational, 2015, acl</category>
    </item>
    <item>
      <title>SentencePiece tokenizer introduced in paper: SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo &amp; Richardson, 2018).</title>
      <link>https://sourcescore.org/claims/0d47bb8eb637a2e4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0d47bb8eb637a2e4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>SentencePiece tokenizer introduced in paper: SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing (Kudo &amp; Richardson, 2018). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0d47bb8eb637a2e4.json.</description>
      <category>sentencepiece, tokenization, google, foundational, 2018</category>
    </item>
    <item>
      <title>C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019).</title>
      <link>https://sourcescore.org/claims/0d24c97977ebd744/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0d24c97977ebd744/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>C4 (Colossal Clean Crawled Corpus) introduced in paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Raffel et al., 2019). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0d24c97977ebd744.json.</description>
      <category>c4, dataset, pretraining, google, 2019</category>
    </item>
    <item>
      <title>The Pile dataset released on: 2020-12-31.</title>
      <link>https://sourcescore.org/claims/4aef1422b96df26c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4aef1422b96df26c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>The Pile dataset released on: 2020-12-31. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4aef1422b96df26c.json.</description>
      <category>the-pile, dataset, pretraining, eleutherai, 2020</category>
    </item>
    <item>
      <title>RedPajama dataset released on: 2023-04-17.</title>
      <link>https://sourcescore.org/claims/ea8b7be3a49101be/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ea8b7be3a49101be/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>RedPajama dataset released on: 2023-04-17. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ea8b7be3a49101be.json.</description>
      <category>redpajama, dataset, pretraining, together, 2023, open-source</category>
    </item>
    <item>
      <title>CLIP introduced in paper: Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021).</title>
      <link>https://sourcescore.org/claims/bcdef949cc6d3644/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bcdef949cc6d3644/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>CLIP introduced in paper: Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bcdef949cc6d3644.json.</description>
      <category>clip, vision-language, multimodal, foundational, 2021, openai</category>
    </item>
    <item>
      <title>DALL·E 2 released on: 2022-04-06.</title>
      <link>https://sourcescore.org/claims/0b0e64476bd25bd6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0b0e64476bd25bd6/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DALL·E 2 released on: 2022-04-06. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0b0e64476bd25bd6.json.</description>
      <category>dall-e, dall-e-2, image-generation, multimodal, openai, released_on, 2022</category>
    </item>
    <item>
      <title>Stable Diffusion 1.x released on: 2022-08-22.</title>
      <link>https://sourcescore.org/claims/79a7e980e59680bc/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/79a7e980e59680bc/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stable Diffusion 1.x released on: 2022-08-22. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/79a7e980e59680bc.json.</description>
      <category>stable-diffusion, image-generation, stability-ai, released_on, 2022</category>
    </item>
    <item>
      <title>EleutherAI founded in: 2020.</title>
      <link>https://sourcescore.org/claims/f018fec775a8e941/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f018fec775a8e941/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>EleutherAI founded in: 2020. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f018fec775a8e941.json.</description>
      <category>eleutherai, company, founded, 2020, open-source</category>
    </item>
    <item>
      <title>Together AI founded in: 2022.</title>
      <link>https://sourcescore.org/claims/4d05fa0726841c32/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4d05fa0726841c32/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Together AI founded in: 2022. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4d05fa0726841c32.json.</description>
      <category>together-ai, company, founded, 2022</category>
    </item>
    <item>
      <title>AI21 Labs founded in: 2017.</title>
      <link>https://sourcescore.org/claims/c7c1ee139886cafe/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c7c1ee139886cafe/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AI21 Labs founded in: 2017. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c7c1ee139886cafe.json.</description>
      <category>ai21, ai21-labs, company, founded, 2017, israel</category>
    </item>
    <item>
      <title>ELMo (Embeddings from Language Models) introduced in paper: Deep contextualized word representations (Peters et al., 2018).</title>
      <link>https://sourcescore.org/claims/ee150c6e44364a3d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ee150c6e44364a3d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ELMo (Embeddings from Language Models) introduced in paper: Deep contextualized word representations (Peters et al., 2018). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ee150c6e44364a3d.json.</description>
      <category>elmo, word-embeddings, contextualized, foundational, 2018, naacl</category>
    </item>
    <item>
      <title>Latent Diffusion Models (LDM) introduced in paper: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021).</title>
      <link>https://sourcescore.org/claims/1aacbf0bf9248dc7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1aacbf0bf9248dc7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Latent Diffusion Models (LDM) introduced in paper: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1aacbf0bf9248dc7.json.</description>
      <category>latent-diffusion, ldm, image-generation, stable-diffusion-backbone, foundational, 2021</category>
    </item>
    <item>
      <title>ELECTRA introduced in paper: ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (Clark et al., 2020).</title>
      <link>https://sourcescore.org/claims/2f9c79357e9d4da9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2f9c79357e9d4da9/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ELECTRA introduced in paper: ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (Clark et al., 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2f9c79357e9d4da9.json.</description>
      <category>electra, pretraining, discriminator, foundational, 2020, google</category>
    </item>
    <item>
      <title>GPT-3 introduced in paper: Language Models are Few-Shot Learners (Brown et al., 2020).</title>
      <link>https://sourcescore.org/claims/7d3e6a39b1656571/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7d3e6a39b1656571/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-3 introduced in paper: Language Models are Few-Shot Learners (Brown et al., 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7d3e6a39b1656571.json.</description>
      <category>gpt-3, openai, few-shot, foundational, 2020, nips</category>
    </item>
    <item>
      <title>Pinecone founded in: 2019.</title>
      <link>https://sourcescore.org/claims/1cfc3870019a8819/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1cfc3870019a8819/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Pinecone founded in: 2019. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1cfc3870019a8819.json.</description>
      <category>pinecone, vector-database, company, founded, 2019</category>
    </item>
    <item>
      <title>Weaviate founded in: 2019.</title>
      <link>https://sourcescore.org/claims/9f25f9f965e7cde4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9f25f9f965e7cde4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Weaviate founded in: 2019. Verified 2026-05-16. Confidence 85%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9f25f9f965e7cde4.json.</description>
      <category>weaviate, vector-database, company, founded, 2019, netherlands</category>
    </item>
    <item>
      <title>Qdrant founded in: 2021.</title>
      <link>https://sourcescore.org/claims/9241483ac9f6e285/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9241483ac9f6e285/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Qdrant founded in: 2021. Verified 2026-05-16. Confidence 85%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9241483ac9f6e285.json.</description>
      <category>qdrant, vector-database, company, founded, 2021, germany</category>
    </item>
    <item>
      <title>Replicate founded in: 2019.</title>
      <link>https://sourcescore.org/claims/d9e848aed91184f4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d9e848aed91184f4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Replicate founded in: 2019. Verified 2026-05-16. Confidence 85%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d9e848aed91184f4.json.</description>
      <category>replicate, ml-inference, company, founded, 2019</category>
    </item>
    <item>
      <title>Codex introduced in paper: Evaluating Large Language Models Trained on Code (Chen et al., 2021).</title>
      <link>https://sourcescore.org/claims/79be9b25cd64f250/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/79be9b25cd64f250/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Codex introduced in paper: Evaluating Large Language Models Trained on Code (Chen et al., 2021). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/79be9b25cd64f250.json.</description>
      <category>codex, code-generation, openai, foundational, 2021</category>
    </item>
    <item>
      <title>SuperGLUE benchmark introduced in paper: SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (Wang et al., 2019).</title>
      <link>https://sourcescore.org/claims/1a1e87145608c91a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1a1e87145608c91a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>SuperGLUE benchmark introduced in paper: SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems (Wang et al., 2019). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1a1e87145608c91a.json.</description>
      <category>superglue, benchmark, evaluation, foundational, 2019</category>
    </item>
    <item>
      <title>GLUE benchmark introduced in paper: GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (Wang et al., 2018).</title>
      <link>https://sourcescore.org/claims/aa113b5e61d5c214/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/aa113b5e61d5c214/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GLUE benchmark introduced in paper: GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (Wang et al., 2018). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/aa113b5e61d5c214.json.</description>
      <category>glue, benchmark, evaluation, foundational, 2018</category>
    </item>
    <item>
      <title>Dropout introduced in paper: Dropout: A Simple Way to Prevent Neural Networks from Overfitting (Srivastava et al., 2014).</title>
      <link>https://sourcescore.org/claims/18409e7f8a6d7aac/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/18409e7f8a6d7aac/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Dropout introduced in paper: Dropout: A Simple Way to Prevent Neural Networks from Overfitting (Srivastava et al., 2014). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/18409e7f8a6d7aac.json.</description>
      <category>dropout, regularization, foundational, 2014, jmlr, hinton</category>
    </item>
    <item>
      <title>Batch Normalization introduced in paper: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (Ioffe &amp; Szegedy, 2015).</title>
      <link>https://sourcescore.org/claims/56c451642ab41e68/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/56c451642ab41e68/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Batch Normalization introduced in paper: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (Ioffe &amp; Szegedy, 2015). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/56c451642ab41e68.json.</description>
      <category>batch-normalization, regularization, training, foundational, 2015, icml, google</category>
    </item>
    <item>
      <title>Layer Normalization introduced in paper: Layer Normalization (Ba, Kiros, Hinton, 2016).</title>
      <link>https://sourcescore.org/claims/f72db86c784a1b32/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f72db86c784a1b32/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Layer Normalization introduced in paper: Layer Normalization (Ba, Kiros, Hinton, 2016). Verified 2026-05-16. Confidence 100%. 1 primary source. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f72db86c784a1b32.json.</description>
      <category>layer-normalization, normalization, transformer-ingredient, foundational, 2016, hinton</category>
    </item>
    <item>
      <title>Sequence-to-Sequence Learning (seq2seq) introduced in paper: Sequence to Sequence Learning with Neural Networks (Sutskever, Vinyals, Le, 2014).</title>
      <link>https://sourcescore.org/claims/ff80a25ed7e83b45/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ff80a25ed7e83b45/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Sequence-to-Sequence Learning (seq2seq) introduced in paper: Sequence to Sequence Learning with Neural Networks (Sutskever, Vinyals, Le, 2014). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ff80a25ed7e83b45.json.</description>
      <category>seq2seq, encoder-decoder, lstm, foundational, 2014, nips, google</category>
    </item>
    <item>
      <title>Longformer introduced in paper: Longformer: The Long-Document Transformer (Beltagy, Peters, Cohan, 2020).</title>
      <link>https://sourcescore.org/claims/c3d2ec81d9faf837/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c3d2ec81d9faf837/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Longformer introduced in paper: Longformer: The Long-Document Transformer (Beltagy, Peters, Cohan, 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c3d2ec81d9faf837.json.</description>
      <category>longformer, long-context, sparse-attention, foundational, 2020, allen-ai</category>
    </item>
    <item>
      <title>Reformer introduced in paper: Reformer: The Efficient Transformer (Kitaev, Kaiser, Levskaya, 2020).</title>
      <link>https://sourcescore.org/claims/76f7f00e79bc18c8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/76f7f00e79bc18c8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Reformer introduced in paper: Reformer: The Efficient Transformer (Kitaev, Kaiser, Levskaya, 2020). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/76f7f00e79bc18c8.json.</description>
      <category>reformer, efficient-transformer, lsh-attention, foundational, 2020, iclr, google</category>
    </item>
    <item>
      <title>Gemma released on: 2024-02-21.</title>
      <link>https://sourcescore.org/claims/87b09546387243ef/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/87b09546387243ef/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Gemma released on: 2024-02-21. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/87b09546387243ef.json.</description>
      <category>gemma, google, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>Qwen released on: 2023-08-03.</title>
      <link>https://sourcescore.org/claims/3390777eaf4ccc6f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3390777eaf4ccc6f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Qwen released on: 2023-08-03. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3390777eaf4ccc6f.json.</description>
      <category>qwen, alibaba, open-weights, released_on, 2023, china</category>
    </item>
    <item>
      <title>BLEU score introduced in paper: BLEU: a Method for Automatic Evaluation of Machine Translation (Papineni et al., 2002).</title>
      <link>https://sourcescore.org/claims/bf5bdd9756278449/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bf5bdd9756278449/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>BLEU score introduced in paper: BLEU: a Method for Automatic Evaluation of Machine Translation (Papineni et al., 2002). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bf5bdd9756278449.json.</description>
      <category>bleu, evaluation-metric, machine-translation, foundational, 2002, acl, ibm</category>
    </item>
    <item>
      <title>ROUGE score introduced in paper: ROUGE: A Package for Automatic Evaluation of Summaries (Lin, 2004).</title>
      <link>https://sourcescore.org/claims/b0eb5c8ac5b4b21e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b0eb5c8ac5b4b21e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ROUGE score introduced in paper: ROUGE: A Package for Automatic Evaluation of Summaries (Lin, 2004). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b0eb5c8ac5b4b21e.json.</description>
      <category>rouge, evaluation-metric, summarization, foundational, 2004, acl</category>
    </item>
    <item>
      <title>AdamW optimizer introduced in paper: Decoupled Weight Decay Regularization (Loshchilov &amp; Hutter, 2017).</title>
      <link>https://sourcescore.org/claims/b6d51eba4fc7f918/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b6d51eba4fc7f918/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AdamW optimizer introduced in paper: Decoupled Weight Decay Regularization (Loshchilov &amp; Hutter, 2017). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b6d51eba4fc7f918.json.</description>
      <category>adamw, optimizer, weight-decay, foundational, 2017, iclr</category>
    </item>
    <item>
      <title>PaLM introduced in paper: PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022).</title>
      <link>https://sourcescore.org/claims/d58d505fd9d705fe/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d58d505fd9d705fe/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>PaLM introduced in paper: PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d58d505fd9d705fe.json.</description>
      <category>palm, google, pathways, foundational, 2022, parameter-count, 540b</category>
    </item>
    <item>
      <title>Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022).</title>
      <link>https://sourcescore.org/claims/30fdfa95f8684ca5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/30fdfa95f8684ca5/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json.</description>
      <category>imagen, google, text-to-image, diffusion, foundational, 2022</category>
    </item>
    <item>
      <title>AlphaFold 3 released on: 2024-05-08.</title>
      <link>https://sourcescore.org/claims/bfae8cafd2eb0bf8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bfae8cafd2eb0bf8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlphaFold 3 released on: 2024-05-08. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bfae8cafd2eb0bf8.json.</description>
      <category>alphafold, alphafold-3, deepmind, isomorphic, protein-structure, released_on, 2024, nature</category>
    </item>
    <item>
      <title>Long Short-Term Memory (LSTM) introduced in: 1997 by Hochreiter and Schmidhuber.</title>
      <link>https://sourcescore.org/claims/97ec4d132871224b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/97ec4d132871224b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Long Short-Term Memory (LSTM) introduced in: 1997 by Hochreiter and Schmidhuber. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/97ec4d132871224b.json.</description>
      <category>lstm, rnn, hochreiter, schmidhuber, foundational, 1997, introduced_in</category>
    </item>
    <item>
      <title>AlphaGo defeated: Lee Sedol 4-1 in March 2016.</title>
      <link>https://sourcescore.org/claims/0318700337f0906d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0318700337f0906d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlphaGo defeated: Lee Sedol 4-1 in March 2016. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0318700337f0906d.json.</description>
      <category>alphago, deepmind, reinforcement-learning, lee-sedol, foundational, 2016, defeated</category>
    </item>
    <item>
      <title>AlphaZero published in: Science journal December 2018.</title>
      <link>https://sourcescore.org/claims/b2dbbb7283a89f21/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b2dbbb7283a89f21/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlphaZero published in: Science journal December 2018. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b2dbbb7283a89f21.json.</description>
      <category>alphazero, deepmind, reinforcement-learning, self-play, foundational, 2018, science</category>
    </item>
    <item>
      <title>RoBERTa introduced in: Liu et al. 2019 — A Robustly Optimized BERT Pretraining Approach.</title>
      <link>https://sourcescore.org/claims/d4fecb26a4c9cdca/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d4fecb26a4c9cdca/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>RoBERTa introduced in: Liu et al. 2019 — A Robustly Optimized BERT Pretraining Approach. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d4fecb26a4c9cdca.json.</description>
      <category>roberta, bert, facebook-ai, pretraining, foundational, 2019, introduced_in</category>
    </item>
    <item>
      <title>DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation.</title>
      <link>https://sourcescore.org/claims/245af747a3d21061/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/245af747a3d21061/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/245af747a3d21061.json.</description>
      <category>distilbert, bert, knowledge-distillation, hugging-face, foundational, 2019, introduced_in</category>
    </item>
    <item>
      <title>GitHub Copilot publicly released on: 2021-06-29 (technical preview).</title>
      <link>https://sourcescore.org/claims/1ddbde847e500ac5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1ddbde847e500ac5/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GitHub Copilot publicly released on: 2021-06-29 (technical preview). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1ddbde847e500ac5.json.</description>
      <category>github-copilot, github, openai, codex, coding-assistant, released_on, 2021</category>
    </item>
    <item>
      <title>OLMo released on: 2024-02-01 by Allen Institute for AI.</title>
      <link>https://sourcescore.org/claims/db733143bb054d41/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/db733143bb054d41/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OLMo released on: 2024-02-01 by Allen Institute for AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/db733143bb054d41.json.</description>
      <category>olmo, allenai, ai2, open-source, fully-open, 2024, released_on</category>
    </item>
    <item>
      <title>Gemini Ultra publicly released on: 2024-02-08 via Gemini Advanced subscription.</title>
      <link>https://sourcescore.org/claims/d2ac7cd6fc8b1156/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d2ac7cd6fc8b1156/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Gemini Ultra publicly released on: 2024-02-08 via Gemini Advanced subscription. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d2ac7cd6fc8b1156.json.</description>
      <category>gemini-ultra, gemini-advanced, google, deepmind, released_on, 2024</category>
    </item>
    <item>
      <title>DeepSeek-R1 released on: 2025-01-20 with reasoning chain-of-thought capabilities.</title>
      <link>https://sourcescore.org/claims/c6660e2e910f2680/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c6660e2e910f2680/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DeepSeek-R1 released on: 2025-01-20 with reasoning chain-of-thought capabilities. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c6660e2e910f2680.json.</description>
      <category>deepseek-r1, deepseek, reasoning, reinforcement-learning, chain-of-thought, 2025, released_on</category>
    </item>
    <item>
      <title>Stable Diffusion 3 publicly released on: 2024-06-12 (Stable Diffusion 3 Medium weights).</title>
      <link>https://sourcescore.org/claims/bdab1261665d495e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bdab1261665d495e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stable Diffusion 3 publicly released on: 2024-06-12 (Stable Diffusion 3 Medium weights). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bdab1261665d495e.json.</description>
      <category>stable-diffusion-3, stability-ai, rectified-flow, text-to-image, released_on, 2024</category>
    </item>
    <item>
      <title>BART introduced in: Lewis et al. 2019 — denoising sequence-to-sequence pretraining.</title>
      <link>https://sourcescore.org/claims/f5b422e3255fd7c0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f5b422e3255fd7c0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>BART introduced in: Lewis et al. 2019 — denoising sequence-to-sequence pretraining. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f5b422e3255fd7c0.json.</description>
      <category>bart, facebook-ai, denoising, seq2seq, encoder-decoder, foundational, 2019, introduced_in</category>
    </item>
    <item>
      <title>GloVe introduced in: Pennington, Socher, Manning 2014 — global vectors for word representation.</title>
      <link>https://sourcescore.org/claims/7f9254f3c0612ed0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7f9254f3c0612ed0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GloVe introduced in: Pennington, Socher, Manning 2014 — global vectors for word representation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7f9254f3c0612ed0.json.</description>
      <category>glove, stanford-nlp, word-embeddings, foundational, 2014, introduced_in</category>
    </item>
    <item>
      <title>Flamingo introduced in: Alayrac et al. 2022 — DeepMind few-shot vision-language model.</title>
      <link>https://sourcescore.org/claims/72ea74efc723bd06/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/72ea74efc723bd06/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Flamingo introduced in: Alayrac et al. 2022 — DeepMind few-shot vision-language model. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/72ea74efc723bd06.json.</description>
      <category>flamingo, deepmind, vision-language, few-shot, multimodal, 2022, introduced_in</category>
    </item>
    <item>
      <title>Toolformer introduced in: Schick et al. 2023 — self-supervised LLM tool-use.</title>
      <link>https://sourcescore.org/claims/cd4387e16e2c3e3d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cd4387e16e2c3e3d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Toolformer introduced in: Schick et al. 2023 — self-supervised LLM tool-use. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cd4387e16e2c3e3d.json.</description>
      <category>toolformer, meta-ai, tool-use, function-calling, agents, 2023, introduced_in</category>
    </item>
    <item>
      <title>vLLM introduced in: Kwon et al. 2023 — high-throughput LLM serving via PagedAttention.</title>
      <link>https://sourcescore.org/claims/468a9e2c047d8f2f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/468a9e2c047d8f2f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>vLLM introduced in: Kwon et al. 2023 — high-throughput LLM serving via PagedAttention. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/468a9e2c047d8f2f.json.</description>
      <category>vllm, paged-attention, uc-berkeley, inference, serving, open-source, 2023, introduced_in</category>
    </item>
    <item>
      <title>llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov.</title>
      <link>https://sourcescore.org/claims/2c6ddc094019890c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2c6ddc094019890c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2c6ddc094019890c.json.</description>
      <category>llama-cpp, ggerganov, inference, open-source, cpp, released_on, 2023</category>
    </item>
    <item>
      <title>Ollama publicly released on: 2023-07-18 — local LLM runtime.</title>
      <link>https://sourcescore.org/claims/ad04a4489786ac11/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ad04a4489786ac11/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Ollama publicly released on: 2023-07-18 — local LLM runtime. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ad04a4489786ac11.json.</description>
      <category>ollama, local-inference, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Chatbot Arena introduced in: Zheng et al. 2023 — LMSYS open platform for evaluating LLMs by human preference.</title>
      <link>https://sourcescore.org/claims/789ddc9bc9c3d688/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/789ddc9bc9c3d688/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Chatbot Arena introduced in: Zheng et al. 2023 — LMSYS open platform for evaluating LLMs by human preference. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/789ddc9bc9c3d688.json.</description>
      <category>chatbot-arena, lmsys, uc-berkeley, evaluation, human-preference, leaderboard, 2023, introduced_in</category>
    </item>
    <item>
      <title>Phi-4 released on: 2024-12-12 by Microsoft Research.</title>
      <link>https://sourcescore.org/claims/f75020a0604daad7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f75020a0604daad7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Phi-4 released on: 2024-12-12 by Microsoft Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f75020a0604daad7.json.</description>
      <category>phi-4, microsoft, synthetic-data, small-language-model, 2024, released_on</category>
    </item>
    <item>
      <title>GPTQ introduced in: Frantar et al. 2022 — accurate post-training quantization for GPT models.</title>
      <link>https://sourcescore.org/claims/a9ab1ec12062f7ae/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a9ab1ec12062f7ae/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPTQ introduced in: Frantar et al. 2022 — accurate post-training quantization for GPT models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a9ab1ec12062f7ae.json.</description>
      <category>gptq, quantization, ist-austria, inference, post-training, 2022, introduced_in</category>
    </item>
    <item>
      <title>LangChain framework publicly released on: 2022-10-25 by Harrison Chase.</title>
      <link>https://sourcescore.org/claims/c73295c7d563d226/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c73295c7d563d226/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LangChain framework publicly released on: 2022-10-25 by Harrison Chase. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c73295c7d563d226.json.</description>
      <category>langchain, framework, open-source, released_on, 2022</category>
    </item>
    <item>
      <title>LlamaIndex framework publicly released on: 2022-11-09 by Jerry Liu (originally GPT Index).</title>
      <link>https://sourcescore.org/claims/8ec0a4529b895d03/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8ec0a4529b895d03/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LlamaIndex framework publicly released on: 2022-11-09 by Jerry Liu (originally GPT Index). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8ec0a4529b895d03.json.</description>
      <category>llamaindex, gpt-index, framework, rag, open-source, released_on, 2022</category>
    </item>
    <item>
      <title>FAISS introduced in: Johnson, Douze, Jégou 2017 — Facebook AI Similarity Search.</title>
      <link>https://sourcescore.org/claims/7ee9546a5a7d851e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7ee9546a5a7d851e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>FAISS introduced in: Johnson, Douze, Jégou 2017 — Facebook AI Similarity Search. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7ee9546a5a7d851e.json.</description>
      <category>faiss, facebook-ai, meta-ai, similarity-search, vector-search, 2017, introduced_in</category>
    </item>
    <item>
      <title>tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models.</title>
      <link>https://sourcescore.org/claims/70db729b5808e22c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/70db729b5808e22c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/70db729b5808e22c.json.</description>
      <category>tiktoken, openai, bpe, tokenizer, open-source, released_on, 2022</category>
    </item>
    <item>
      <title>Model Context Protocol (MCP) publicly released on: 2024-11-25 by Anthropic.</title>
      <link>https://sourcescore.org/claims/d04ee92d198f69d8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d04ee92d198f69d8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Model Context Protocol (MCP) publicly released on: 2024-11-25 by Anthropic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d04ee92d198f69d8.json.</description>
      <category>mcp, model-context-protocol, anthropic, open-standard, tool-use, released_on, 2024</category>
    </item>
    <item>
      <title>Self-RAG introduced in: Asai et al. 2023 — self-reflective retrieval-augmented generation.</title>
      <link>https://sourcescore.org/claims/c0219cf87124d20d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c0219cf87124d20d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Self-RAG introduced in: Asai et al. 2023 — self-reflective retrieval-augmented generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c0219cf87124d20d.json.</description>
      <category>self-rag, rag, self-reflection, uw-nlp, allenai, 2023, introduced_in</category>
    </item>
    <item>
      <title>Mamba-2 introduced in: Dao &amp; Gu 2024 — structured state space duality.</title>
      <link>https://sourcescore.org/claims/07abb25f8fc2c1d6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/07abb25f8fc2c1d6/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mamba-2 introduced in: Dao &amp; Gu 2024 — structured state space duality. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/07abb25f8fc2c1d6.json.</description>
      <category>mamba-2, state-space-model, ssm, princeton, cmu, 2024, introduced_in</category>
    </item>
    <item>
      <title>ChatGPT search publicly released on: 2024-10-31 by OpenAI.</title>
      <link>https://sourcescore.org/claims/b89957cd609ecc38/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b89957cd609ecc38/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ChatGPT search publicly released on: 2024-10-31 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b89957cd609ecc38.json.</description>
      <category>chatgpt-search, openai, search, web-retrieval, released_on, 2024</category>
    </item>
    <item>
      <title>Whisper large-v3 publicly released on: 2023-11-06 by OpenAI.</title>
      <link>https://sourcescore.org/claims/4b70646f48b9a736/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4b70646f48b9a736/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Whisper large-v3 publicly released on: 2023-11-06 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4b70646f48b9a736.json.</description>
      <category>whisper, whisper-large-v3, openai, speech-recognition, released_on, 2023</category>
    </item>
    <item>
      <title>AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark.</title>
      <link>https://sourcescore.org/claims/2f14f3078741c0ad/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2f14f3078741c0ad/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2f14f3078741c0ad.json.</description>
      <category>alpacaeval, alpaca, stanford, evaluation, llm-as-judge, 2023, introduced_in</category>
    </item>
    <item>
      <title>Mistral Large 2 released on: 2024-07-24 by Mistral AI.</title>
      <link>https://sourcescore.org/claims/471aa3782c550dfe/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/471aa3782c550dfe/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Large 2 released on: 2024-07-24 by Mistral AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/471aa3782c550dfe.json.</description>
      <category>mistral-large-2, mistral, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>Qwen 2.5 released on: 2024-09-19 by Alibaba.</title>
      <link>https://sourcescore.org/claims/b841d8246a618909/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b841d8246a618909/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Qwen 2.5 released on: 2024-09-19 by Alibaba. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b841d8246a618909.json.</description>
      <category>qwen-2.5, alibaba, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>Anthropic Claude Opus 4 released on: 2025-05-22 by Anthropic.</title>
      <link>https://sourcescore.org/claims/227ecd38519af6c8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/227ecd38519af6c8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Opus 4 released on: 2025-05-22 by Anthropic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/227ecd38519af6c8.json.</description>
      <category>claude-opus-4, claude-4, anthropic, released_on, 2025</category>
    </item>
    <item>
      <title>OpenAI o1 publicly released on: 2024-12-05 — full version with reasoning chain.</title>
      <link>https://sourcescore.org/claims/b5990a667b668e82/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b5990a667b668e82/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI o1 publicly released on: 2024-12-05 — full version with reasoning chain. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b5990a667b668e82.json.</description>
      <category>openai-o1, o1, openai, reasoning, test-time-compute, released_on, 2024</category>
    </item>
    <item>
      <title>Cursor publicly released on: 2023-03-14 by Anysphere.</title>
      <link>https://sourcescore.org/claims/7edfbce6d736c8aa/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7edfbce6d736c8aa/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cursor publicly released on: 2023-03-14 by Anysphere. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7edfbce6d736c8aa.json.</description>
      <category>cursor, anysphere, ide, coding-assistant, released_on, 2023</category>
    </item>
    <item>
      <title>Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert.</title>
      <link>https://sourcescore.org/claims/8cdc42759d98b531/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8cdc42759d98b531/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Hugging Face Transformers library publicly released on: 2018-10-04 — originally pytorch-pretrained-bert. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8cdc42759d98b531.json.</description>
      <category>transformers, hugging-face, library, open-source, released_on, 2018</category>
    </item>
    <item>
      <title>PyTorch publicly released on: 2017-01-18 by Facebook AI Research.</title>
      <link>https://sourcescore.org/claims/76c83fea654bb445/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/76c83fea654bb445/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>PyTorch publicly released on: 2017-01-18 by Facebook AI Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/76c83fea654bb445.json.</description>
      <category>pytorch, facebook-ai, meta, framework, open-source, released_on, 2017</category>
    </item>
    <item>
      <title>TensorFlow publicly released on: 2015-11-09 by Google.</title>
      <link>https://sourcescore.org/claims/fc71d09cd60b84ab/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fc71d09cd60b84ab/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>TensorFlow publicly released on: 2015-11-09 by Google. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fc71d09cd60b84ab.json.</description>
      <category>tensorflow, google, framework, open-source, released_on, 2015</category>
    </item>
    <item>
      <title>JAX publicly released on: 2018-12-10 by Google Research.</title>
      <link>https://sourcescore.org/claims/3652d087edc1e228/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3652d087edc1e228/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>JAX publicly released on: 2018-12-10 by Google Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3652d087edc1e228.json.</description>
      <category>jax, google, deepmind, framework, autodiff, open-source, released_on, 2018</category>
    </item>
    <item>
      <title>DeepSpeed publicly released on: 2020-02-13 by Microsoft Research.</title>
      <link>https://sourcescore.org/claims/53cc193ef08fc5c0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/53cc193ef08fc5c0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DeepSpeed publicly released on: 2020-02-13 by Microsoft Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/53cc193ef08fc5c0.json.</description>
      <category>deepspeed, zero, microsoft, framework, distributed-training, open-source, released_on, 2020</category>
    </item>
    <item>
      <title>Backpropagation algorithm popularized in: Rumelhart, Hinton, Williams 1986 — Nature paper.</title>
      <link>https://sourcescore.org/claims/e5471a750d13a672/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e5471a750d13a672/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Backpropagation algorithm popularized in: Rumelhart, Hinton, Williams 1986 — Nature paper. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e5471a750d13a672.json.</description>
      <category>backpropagation, rumelhart, hinton, williams, foundational, 1986, introduced_in, nature</category>
    </item>
    <item>
      <title>U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation.</title>
      <link>https://sourcescore.org/claims/4f19829aa2036770/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4f19829aa2036770/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4f19829aa2036770.json.</description>
      <category>u-net, ronneberger, image-segmentation, diffusion-backbone, foundational, 2015, introduced_in</category>
    </item>
    <item>
      <title>AlphaFold 1 introduced in: Senior et al. 2020 — DeepMind protein structure prediction.</title>
      <link>https://sourcescore.org/claims/a77a8dd48941a53d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a77a8dd48941a53d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlphaFold 1 introduced in: Senior et al. 2020 — DeepMind protein structure prediction. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a77a8dd48941a53d.json.</description>
      <category>alphafold-1, alphafold, deepmind, protein-structure, foundational, 2020, introduced_in, nature</category>
    </item>
    <item>
      <title>MoE Mixtral 8x22B released on: 2024-04-10 by Mistral AI.</title>
      <link>https://sourcescore.org/claims/4335bf51bf0fc14f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4335bf51bf0fc14f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>MoE Mixtral 8x22B released on: 2024-04-10 by Mistral AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4335bf51bf0fc14f.json.</description>
      <category>mixtral-8x22b, mistral, moe, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>Anthropic Claude Sonnet 4 released on: 2025-05-22 by Anthropic.</title>
      <link>https://sourcescore.org/claims/f82eba5c7f5fa09f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f82eba5c7f5fa09f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Sonnet 4 released on: 2025-05-22 by Anthropic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f82eba5c7f5fa09f.json.</description>
      <category>claude-sonnet-4, claude-4, anthropic, released_on, 2025</category>
    </item>
    <item>
      <title>OpenAI o3-mini publicly released on: 2025-01-31 by OpenAI.</title>
      <link>https://sourcescore.org/claims/9c871f7e7d056dc8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9c871f7e7d056dc8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI o3-mini publicly released on: 2025-01-31 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9c871f7e7d056dc8.json.</description>
      <category>openai-o3-mini, openai, reasoning, released_on, 2025</category>
    </item>
    <item>
      <title>Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind.</title>
      <link>https://sourcescore.org/claims/1529ff37ac65916a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1529ff37ac65916a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1529ff37ac65916a.json.</description>
      <category>gemini-2.5-pro, gemini-2.5, google, deepmind, reasoning, released_on, 2025</category>
    </item>
    <item>
      <title>Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM.</title>
      <link>https://sourcescore.org/claims/a1cbe9c4e3a5c8d3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a1cbe9c4e3a5c8d3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a1cbe9c4e3a5c8d3.json.</description>
      <category>stanford-alpaca, alpaca, stanford, llama, instruction-tuning, released_on, 2023</category>
    </item>
    <item>
      <title>LangSmith publicly released on: 2023-07-18 by LangChain — LLM observability + evaluation platform.</title>
      <link>https://sourcescore.org/claims/9ef37fbd1460c501/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9ef37fbd1460c501/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LangSmith publicly released on: 2023-07-18 by LangChain — LLM observability + evaluation platform. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9ef37fbd1460c501.json.</description>
      <category>langsmith, langchain, observability, evaluation, released_on, 2023</category>
    </item>
    <item>
      <title>Tavily founded in: 2023 — search API for AI agents.</title>
      <link>https://sourcescore.org/claims/981a3d33fc084f10/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/981a3d33fc084f10/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Tavily founded in: 2023 — search API for AI agents. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/981a3d33fc084f10.json.</description>
      <category>tavily, search-api, agent-tools, company, founded, 2023</category>
    </item>
    <item>
      <title>Instructor library introduced in: Jason Liu 2023 — structured outputs from LLMs via Pydantic.</title>
      <link>https://sourcescore.org/claims/24950bf9a1d5c57f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/24950bf9a1d5c57f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Instructor library introduced in: Jason Liu 2023 — structured outputs from LLMs via Pydantic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/24950bf9a1d5c57f.json.</description>
      <category>instructor, structured-outputs, pydantic, framework, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Chroma vector database publicly released on: 2023-02-14 by Chroma Inc..</title>
      <link>https://sourcescore.org/claims/35cfa854f37981dd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/35cfa854f37981dd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Chroma vector database publicly released on: 2023-02-14 by Chroma Inc.. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/35cfa854f37981dd.json.</description>
      <category>chroma, vector-database, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Milvus vector database publicly released on: 2019-10-15 by Zilliz.</title>
      <link>https://sourcescore.org/claims/aa5b818bcc5124d7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/aa5b818bcc5124d7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Milvus vector database publicly released on: 2019-10-15 by Zilliz. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/aa5b818bcc5124d7.json.</description>
      <category>milvus, zilliz, vector-database, open-source, released_on, 2019</category>
    </item>
    <item>
      <title>pgvector publicly released on: 2021-04-20 by Andrew Kane — Postgres vector extension.</title>
      <link>https://sourcescore.org/claims/af53bd9ee3eceae8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/af53bd9ee3eceae8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>pgvector publicly released on: 2021-04-20 by Andrew Kane — Postgres vector extension. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/af53bd9ee3eceae8.json.</description>
      <category>pgvector, postgres, vector-database, extension, open-source, released_on, 2021</category>
    </item>
    <item>
      <title>CrewAI publicly released on: 2023-12 by João Moura — multi-agent orchestration framework.</title>
      <link>https://sourcescore.org/claims/17935e8dbd615dc2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/17935e8dbd615dc2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>CrewAI publicly released on: 2023-12 by João Moura — multi-agent orchestration framework. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/17935e8dbd615dc2.json.</description>
      <category>crewai, multi-agent, framework, orchestration, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>AutoGen publicly released on: 2023-09-25 by Microsoft Research.</title>
      <link>https://sourcescore.org/claims/f943ed167ebbf186/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f943ed167ebbf186/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AutoGen publicly released on: 2023-09-25 by Microsoft Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f943ed167ebbf186.json.</description>
      <category>autogen, microsoft, multi-agent, framework, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Microsoft Semantic Kernel publicly released on: 2023-03-17 by Microsoft.</title>
      <link>https://sourcescore.org/claims/f3f89b1db2dd4ec1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f3f89b1db2dd4ec1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Microsoft Semantic Kernel publicly released on: 2023-03-17 by Microsoft. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f3f89b1db2dd4ec1.json.</description>
      <category>semantic-kernel, microsoft, framework, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Haystack publicly released on: 2020-04 by deepset GmbH.</title>
      <link>https://sourcescore.org/claims/6218cda83723327f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6218cda83723327f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Haystack publicly released on: 2020-04 by deepset GmbH. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6218cda83723327f.json.</description>
      <category>haystack, deepset, framework, rag, open-source, released_on, 2020</category>
    </item>
    <item>
      <title>Triton inference server publicly released on: 2018-11 by NVIDIA — formerly TensorRT Inference Server.</title>
      <link>https://sourcescore.org/claims/78ec1ceed08a221c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/78ec1ceed08a221c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Triton inference server publicly released on: 2018-11 by NVIDIA — formerly TensorRT Inference Server. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/78ec1ceed08a221c.json.</description>
      <category>triton, nvidia, inference, serving, open-source, released_on, 2018</category>
    </item>
    <item>
      <title>Modal Labs founded in: 2021 — serverless GPU + AI infrastructure.</title>
      <link>https://sourcescore.org/claims/ef80f618f64bc8b2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ef80f618f64bc8b2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Modal Labs founded in: 2021 — serverless GPU + AI infrastructure. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ef80f618f64bc8b2.json.</description>
      <category>modal, modal-labs, serverless, infrastructure, company, founded, 2021</category>
    </item>
    <item>
      <title>SGLang introduced in: Zheng et al. 2024 — efficient LLM serving with structured outputs.</title>
      <link>https://sourcescore.org/claims/4244c11611a72550/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4244c11611a72550/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>SGLang introduced in: Zheng et al. 2024 — efficient LLM serving with structured outputs. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4244c11611a72550.json.</description>
      <category>sglang, uc-berkeley, inference, structured-outputs, open-source, 2024, introduced_in</category>
    </item>
    <item>
      <title>VAE (Variational Autoencoder) introduced in: Kingma &amp; Welling 2013 — auto-encoding variational Bayes.</title>
      <link>https://sourcescore.org/claims/f1e5afb457a428c6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f1e5afb457a428c6/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>VAE (Variational Autoencoder) introduced in: Kingma &amp; Welling 2013 — auto-encoding variational Bayes. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f1e5afb457a428c6.json.</description>
      <category>vae, kingma, welling, generative, foundational, 2013, introduced_in</category>
    </item>
    <item>
      <title>Knowledge Distillation popularized in: Hinton, Vinyals, Dean 2015 — distilling the knowledge in a neural network.</title>
      <link>https://sourcescore.org/claims/f14acb906ba6c12f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f14acb906ba6c12f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Knowledge Distillation popularized in: Hinton, Vinyals, Dean 2015 — distilling the knowledge in a neural network. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f14acb906ba6c12f.json.</description>
      <category>knowledge-distillation, hinton, google, compression, foundational, 2015, introduced_in</category>
    </item>
    <item>
      <title>Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup.</title>
      <link>https://sourcescore.org/claims/d5ce871dc69e7b04/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d5ce871dc69e7b04/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json.</description>
      <category>llama-4, meta, open-weights, moe, multimodal, released_on, 2025</category>
    </item>
    <item>
      <title>Anthropic Claude Haiku 3.5 released on: 2024-11-04 by Anthropic.</title>
      <link>https://sourcescore.org/claims/25a7861bd919a053/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/25a7861bd919a053/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Haiku 3.5 released on: 2024-11-04 by Anthropic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/25a7861bd919a053.json.</description>
      <category>claude-3.5-haiku, anthropic, released_on, 2024</category>
    </item>
    <item>
      <title>Replit Agent publicly released on: 2024-09-05 by Replit.</title>
      <link>https://sourcescore.org/claims/717c4809d659743f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/717c4809d659743f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Replit Agent publicly released on: 2024-09-05 by Replit. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/717c4809d659743f.json.</description>
      <category>replit-agent, replit, coding-agent, released_on, 2024</category>
    </item>
    <item>
      <title>Devin publicly released on: 2024-03-12 by Cognition Labs.</title>
      <link>https://sourcescore.org/claims/7989a48c95f119a8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7989a48c95f119a8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Devin publicly released on: 2024-03-12 by Cognition Labs. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7989a48c95f119a8.json.</description>
      <category>devin, cognition-labs, coding-agent, released_on, 2024</category>
    </item>
    <item>
      <title>Groq LPU publicly released on: 2024-02-19 by Groq — language processing unit inference.</title>
      <link>https://sourcescore.org/claims/6e19ed543cadbcdd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6e19ed543cadbcdd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Groq LPU publicly released on: 2024-02-19 by Groq — language processing unit inference. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6e19ed543cadbcdd.json.</description>
      <category>groq, lpu, inference, hardware, released_on, 2024</category>
    </item>
    <item>
      <title>Cerebras founded in: 2016 — wafer-scale AI chip company.</title>
      <link>https://sourcescore.org/claims/983cf6ade8ab3be0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/983cf6ade8ab3be0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cerebras founded in: 2016 — wafer-scale AI chip company. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/983cf6ade8ab3be0.json.</description>
      <category>cerebras, wafer-scale, hardware, company, founded, 2016</category>
    </item>
    <item>
      <title>Anthropic API publicly released on: 2023-07-11 — general availability.</title>
      <link>https://sourcescore.org/claims/b3d655b5b021fff5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b3d655b5b021fff5/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic API publicly released on: 2023-07-11 — general availability. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b3d655b5b021fff5.json.</description>
      <category>anthropic-api, anthropic, claude, released_on, 2023</category>
    </item>
    <item>
      <title>GPT-4 Vision publicly released on: 2023-09-25 by OpenAI.</title>
      <link>https://sourcescore.org/claims/e15378ee47c08761/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e15378ee47c08761/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GPT-4 Vision publicly released on: 2023-09-25 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e15378ee47c08761.json.</description>
      <category>gpt-4v, gpt-4-vision, openai, multimodal, vision, released_on, 2023</category>
    </item>
    <item>
      <title>InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT.</title>
      <link>https://sourcescore.org/claims/590b9de765b8126e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/590b9de765b8126e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/590b9de765b8126e.json.</description>
      <category>instructgpt, openai, rlhf, alignment, foundational, 2022, introduced_in</category>
    </item>
    <item>
      <title>Anthropic Computer Use publicly released on: 2024-10-22 by Anthropic — Claude 3.5 Sonnet computer use beta.</title>
      <link>https://sourcescore.org/claims/65093b496018360a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/65093b496018360a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Computer Use publicly released on: 2024-10-22 by Anthropic — Claude 3.5 Sonnet computer use beta. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/65093b496018360a.json.</description>
      <category>computer-use, anthropic, agent, released_on, 2024</category>
    </item>
    <item>
      <title>OpenAI Realtime API publicly released on: 2024-10-01 by OpenAI.</title>
      <link>https://sourcescore.org/claims/5e49fa8ac1952fde/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5e49fa8ac1952fde/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Realtime API publicly released on: 2024-10-01 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5e49fa8ac1952fde.json.</description>
      <category>realtime-api, openai, voice, released_on, 2024</category>
    </item>
    <item>
      <title>OpenAI Assistants API publicly released on: 2023-11-06 by OpenAI.</title>
      <link>https://sourcescore.org/claims/818889a574ef3b46/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/818889a574ef3b46/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Assistants API publicly released on: 2023-11-06 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/818889a574ef3b46.json.</description>
      <category>assistants-api, openai, agents, released_on, 2023</category>
    </item>
    <item>
      <title>Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs.</title>
      <link>https://sourcescore.org/claims/9d7676f71d1ee4f3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9d7676f71d1ee4f3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9d7676f71d1ee4f3.json.</description>
      <category>tree-of-thoughts, tot, princeton, deepmind, reasoning, prompting, 2023, introduced_in</category>
    </item>
    <item>
      <title>Mixture of Experts (MoE) revival popularized in: Shazeer et al. 2017 — outrageously large neural networks via sparse gating.</title>
      <link>https://sourcescore.org/claims/f068236101568ad7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f068236101568ad7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mixture of Experts (MoE) revival popularized in: Shazeer et al. 2017 — outrageously large neural networks via sparse gating. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f068236101568ad7.json.</description>
      <category>moe, mixture-of-experts, shazeer, google, foundational, iclr, 2017, introduced_in</category>
    </item>
    <item>
      <title>Speculative decoding introduced in: Leviathan, Kalman, Matias 2023 — Google Research.</title>
      <link>https://sourcescore.org/claims/6cdc7730bf41bb3d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6cdc7730bf41bb3d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Speculative decoding introduced in: Leviathan, Kalman, Matias 2023 — Google Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6cdc7730bf41bb3d.json.</description>
      <category>speculative-decoding, google, inference, foundational, icml, 2022, introduced_in</category>
    </item>
    <item>
      <title>MTEB benchmark introduced in: Muennighoff et al. 2022 — Massive Text Embedding Benchmark.</title>
      <link>https://sourcescore.org/claims/cccd161dd058a31e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cccd161dd058a31e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>MTEB benchmark introduced in: Muennighoff et al. 2022 — Massive Text Embedding Benchmark. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cccd161dd058a31e.json.</description>
      <category>mteb, benchmark, embeddings, huggingface, evaluation, 2022, introduced_in</category>
    </item>
    <item>
      <title>Apple Intelligence publicly released on: 2024-10-28 by Apple.</title>
      <link>https://sourcescore.org/claims/b7f2b38c4041e55c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b7f2b38c4041e55c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Apple Intelligence publicly released on: 2024-10-28 by Apple. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b7f2b38c4041e55c.json.</description>
      <category>apple-intelligence, apple, consumer-ai, released_on, 2024</category>
    </item>
    <item>
      <title>Black Forest Labs Flux publicly released on: 2024-08-01 — Flux.1 [pro/dev/schnell] image generation.</title>
      <link>https://sourcescore.org/claims/83f16c72e657e86e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/83f16c72e657e86e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Black Forest Labs Flux publicly released on: 2024-08-01 — Flux.1 [pro/dev/schnell] image generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/83f16c72e657e86e.json.</description>
      <category>flux, black-forest-labs, image-generation, text-to-image, released_on, 2024</category>
    </item>
    <item>
      <title>Anthropic Tool Use (general availability) publicly released on: 2024-05-30 by Anthropic.</title>
      <link>https://sourcescore.org/claims/c755a0e6b5f19e15/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c755a0e6b5f19e15/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Tool Use (general availability) publicly released on: 2024-05-30 by Anthropic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c755a0e6b5f19e15.json.</description>
      <category>tool-use, anthropic, function-calling, released_on, 2024</category>
    </item>
    <item>
      <title>OpenAI Function Calling publicly released on: 2023-06-13 by OpenAI.</title>
      <link>https://sourcescore.org/claims/56b076e0e63f054f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/56b076e0e63f054f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Function Calling publicly released on: 2023-06-13 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/56b076e0e63f054f.json.</description>
      <category>function-calling, openai, tool-use, released_on, 2023</category>
    </item>
    <item>
      <title>Perplexity AI founded in: 2022 — AI-powered answer engine.</title>
      <link>https://sourcescore.org/claims/a4b4d4b7d5ab6740/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a4b4d4b7d5ab6740/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Perplexity AI founded in: 2022 — AI-powered answer engine. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a4b4d4b7d5ab6740.json.</description>
      <category>perplexity, perplexity-ai, ai-search, company, founded, 2022</category>
    </item>
    <item>
      <title>Suno AI founded in: 2023 — AI music generation.</title>
      <link>https://sourcescore.org/claims/0c83319b6c5dac0e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0c83319b6c5dac0e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Suno AI founded in: 2023 — AI music generation. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0c83319b6c5dac0e.json.</description>
      <category>suno, suno-ai, music-generation, company, founded, 2023</category>
    </item>
    <item>
      <title>ElevenLabs founded in: 2022 — AI voice synthesis platform.</title>
      <link>https://sourcescore.org/claims/dbdffd0d513ce369/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dbdffd0d513ce369/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ElevenLabs founded in: 2022 — AI voice synthesis platform. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dbdffd0d513ce369.json.</description>
      <category>elevenlabs, voice-synthesis, tts, company, founded, 2022</category>
    </item>
    <item>
      <title>Runway ML founded in: 2018 — AI creative tools and video generation.</title>
      <link>https://sourcescore.org/claims/8b05095324238a8b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8b05095324238a8b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Runway ML founded in: 2018 — AI creative tools and video generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8b05095324238a8b.json.</description>
      <category>runway, runwayml, video-generation, creative-ai, company, founded, 2018</category>
    </item>
    <item>
      <title>Midjourney publicly released on: 2022-07-12 — public beta launch.</title>
      <link>https://sourcescore.org/claims/186ee5950b1f645e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/186ee5950b1f645e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Midjourney publicly released on: 2022-07-12 — public beta launch. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/186ee5950b1f645e.json.</description>
      <category>midjourney, image-generation, released_on, 2022</category>
    </item>
    <item>
      <title>Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform.</title>
      <link>https://sourcescore.org/claims/9ef57203f2dd34ec/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9ef57203f2dd34ec/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Hugging Face Hub publicly released on: 2020-09 — model + dataset sharing platform. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9ef57203f2dd34ec.json.</description>
      <category>hugging-face-hub, hugging-face, model-hub, open-source, released_on, 2020</category>
    </item>
    <item>
      <title>Anthropic Constitutional AI Harmlessness introduced in paper: Bai et al. 2022 — training a helpful and harmless assistant.</title>
      <link>https://sourcescore.org/claims/6fa575eb9df5ac32/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6fa575eb9df5ac32/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Constitutional AI Harmlessness introduced in paper: Bai et al. 2022 — training a helpful and harmless assistant. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6fa575eb9df5ac32.json.</description>
      <category>constitutional-ai, cai, anthropic, alignment, harmlessness, foundational, 2022, introduced_in</category>
    </item>
    <item>
      <title>ColBERT introduced in: Khattab &amp; Zaharia 2020 — late-interaction retrieval.</title>
      <link>https://sourcescore.org/claims/2335984b07f28cac/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2335984b07f28cac/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ColBERT introduced in: Khattab &amp; Zaharia 2020 — late-interaction retrieval. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2335984b07f28cac.json.</description>
      <category>colbert, stanford, retrieval, late-interaction, foundational, sigir, 2020, introduced_in</category>
    </item>
    <item>
      <title>BGE embeddings publicly released on: 2023-08 by Beijing Academy of AI (BAAI).</title>
      <link>https://sourcescore.org/claims/c81c33fa85a33cc8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c81c33fa85a33cc8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>BGE embeddings publicly released on: 2023-08 by Beijing Academy of AI (BAAI). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c81c33fa85a33cc8.json.</description>
      <category>bge, baai, embeddings, open-weights, released_on, 2023</category>
    </item>
    <item>
      <title>Voyage AI embeddings founded in: 2023 — embedding-model-specialist company.</title>
      <link>https://sourcescore.org/claims/688dd4afb20004d9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/688dd4afb20004d9/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Voyage AI embeddings founded in: 2023 — embedding-model-specialist company. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/688dd4afb20004d9.json.</description>
      <category>voyage-ai, embeddings, company, founded, 2023</category>
    </item>
    <item>
      <title>Microsoft Phi-2 publicly released on: 2023-12-12 by Microsoft Research.</title>
      <link>https://sourcescore.org/claims/b72213b923a20aef/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b72213b923a20aef/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Microsoft Phi-2 publicly released on: 2023-12-12 by Microsoft Research. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b72213b923a20aef.json.</description>
      <category>phi-2, microsoft, small-language-model, open-weights, released_on, 2023</category>
    </item>
    <item>
      <title>ARC-AGI benchmark introduced in: Chollet 2019 — abstraction and reasoning corpus.</title>
      <link>https://sourcescore.org/claims/cc5df3c14d35fa49/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cc5df3c14d35fa49/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ARC-AGI benchmark introduced in: Chollet 2019 — abstraction and reasoning corpus. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cc5df3c14d35fa49.json.</description>
      <category>arc-agi, chollet, benchmark, reasoning, foundational, 2019, introduced_in</category>
    </item>
    <item>
      <title>SWE-bench introduced in: Jimenez et al. 2024 — software engineering benchmark from GitHub issues.</title>
      <link>https://sourcescore.org/claims/b16b5f5297e5f621/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b16b5f5297e5f621/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>SWE-bench introduced in: Jimenez et al. 2024 — software engineering benchmark from GitHub issues. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b16b5f5297e5f621.json.</description>
      <category>swe-bench, princeton, benchmark, coding, evaluation, introduced_in, 2023</category>
    </item>
    <item>
      <title>Anthropic Claude Code publicly released on: 2025-02-24 by Anthropic — coding agent CLI.</title>
      <link>https://sourcescore.org/claims/a4a3a3cee8a870a0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a4a3a3cee8a870a0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Code publicly released on: 2025-02-24 by Anthropic — coding agent CLI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a4a3a3cee8a870a0.json.</description>
      <category>claude-code, anthropic, coding-agent, cli, released_on, 2025</category>
    </item>
    <item>
      <title>OpenAI Operator publicly released on: 2025-01-23 by OpenAI — agentic browser-control agent.</title>
      <link>https://sourcescore.org/claims/aad113f4c2a8d91a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/aad113f4c2a8d91a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Operator publicly released on: 2025-01-23 by OpenAI — agentic browser-control agent. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/aad113f4c2a8d91a.json.</description>
      <category>operator, openai, browser-agent, released_on, 2025</category>
    </item>
    <item>
      <title>Grok 3 publicly released on: 2025-02-17 by xAI.</title>
      <link>https://sourcescore.org/claims/232df1b22ed7dca3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/232df1b22ed7dca3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Grok 3 publicly released on: 2025-02-17 by xAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/232df1b22ed7dca3.json.</description>
      <category>grok-3, xai, reasoning, released_on, 2025</category>
    </item>
    <item>
      <title>Hume AI founded in: 2021 — empathic voice AI company.</title>
      <link>https://sourcescore.org/claims/f4947559ff0fa9ed/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f4947559ff0fa9ed/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Hume AI founded in: 2021 — empathic voice AI company. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f4947559ff0fa9ed.json.</description>
      <category>hume-ai, voice-ai, empathic-ai, company, founded, 2021</category>
    </item>
    <item>
      <title>Tülu 3 publicly released on: 2024-11-21 by Allen Institute for AI.</title>
      <link>https://sourcescore.org/claims/26eb0cf42f27e99f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/26eb0cf42f27e99f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Tülu 3 publicly released on: 2024-11-21 by Allen Institute for AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/26eb0cf42f27e99f.json.</description>
      <category>tulu-3, allenai, ai2, open-source, post-training, released_on, 2024</category>
    </item>
    <item>
      <title>GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG.</title>
      <link>https://sourcescore.org/claims/58a9c41f05c73a22/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/58a9c41f05c73a22/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/58a9c41f05c73a22.json.</description>
      <category>graphrag, microsoft, rag, knowledge-graph, foundational, 2024, introduced_in</category>
    </item>
    <item>
      <title>GenAI Apps SDK (Anthropic) publicly released on: 2024-09-12 — Message Batches API by Anthropic.</title>
      <link>https://sourcescore.org/claims/28fc7ec640867670/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/28fc7ec640867670/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>GenAI Apps SDK (Anthropic) publicly released on: 2024-09-12 — Message Batches API by Anthropic. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/28fc7ec640867670.json.</description>
      <category>message-batches, anthropic, batch-api, released_on, 2024</category>
    </item>
    <item>
      <title>OpenAI Batch API publicly released on: 2024-04-15 by OpenAI.</title>
      <link>https://sourcescore.org/claims/3e59ec5e21c388a4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3e59ec5e21c388a4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Batch API publicly released on: 2024-04-15 by OpenAI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3e59ec5e21c388a4.json.</description>
      <category>batch-api, openai, released_on, 2024</category>
    </item>
    <item>
      <title>Cohere Command R+ publicly released on: 2024-04-04 by Cohere.</title>
      <link>https://sourcescore.org/claims/fb951562646ce23f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fb951562646ce23f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cohere Command R+ publicly released on: 2024-04-04 by Cohere. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fb951562646ce23f.json.</description>
      <category>command-r-plus, cohere, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>Anthropic Citations API publicly released on: 2025-01-23 by Anthropic — built-in source citations.</title>
      <link>https://sourcescore.org/claims/c38640f829d1f8ca/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c38640f829d1f8ca/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Citations API publicly released on: 2025-01-23 by Anthropic — built-in source citations. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c38640f829d1f8ca.json.</description>
      <category>citations-api, anthropic, grounding, released_on, 2025</category>
    </item>
    <item>
      <title>OpenAI Structured Outputs publicly released on: 2024-08-06 — guaranteed JSON Schema conformance.</title>
      <link>https://sourcescore.org/claims/a38bd7c4ac1e3ca9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a38bd7c4ac1e3ca9/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Structured Outputs publicly released on: 2024-08-06 — guaranteed JSON Schema conformance. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a38bd7c4ac1e3ca9.json.</description>
      <category>structured-outputs, openai, json-schema, released_on, 2024</category>
    </item>
    <item>
      <title>Stable Diffusion XL (SDXL) publicly released on: 2023-07-26 by Stability AI.</title>
      <link>https://sourcescore.org/claims/db9dde664b4483da/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/db9dde664b4483da/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stable Diffusion XL (SDXL) publicly released on: 2023-07-26 by Stability AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/db9dde664b4483da.json.</description>
      <category>sdxl, stable-diffusion-xl, stability-ai, text-to-image, released_on, 2023</category>
    </item>
    <item>
      <title>PyTorch Lightning publicly released on: 2019-03-31 by William Falcon.</title>
      <link>https://sourcescore.org/claims/902b86707095e3f6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/902b86707095e3f6/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>PyTorch Lightning publicly released on: 2019-03-31 by William Falcon. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/902b86707095e3f6.json.</description>
      <category>pytorch-lightning, lightning-ai, framework, open-source, released_on, 2019</category>
    </item>
    <item>
      <title>Outlines publicly released on: 2023-06 by .txt (dottxt-ai) — structured generation library.</title>
      <link>https://sourcescore.org/claims/65cf2245158dd9c2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/65cf2245158dd9c2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Outlines publicly released on: 2023-06 by .txt (dottxt-ai) — structured generation library. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/65cf2245158dd9c2.json.</description>
      <category>outlines, dottxt, structured-generation, library, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Kaplan scaling laws introduced in paper: Kaplan et al. 2020 — Scaling Laws for Neural Language Models.</title>
      <link>https://sourcescore.org/claims/22e12bfbe7770657/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/22e12bfbe7770657/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Kaplan scaling laws introduced in paper: Kaplan et al. 2020 — Scaling Laws for Neural Language Models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/22e12bfbe7770657.json.</description>
      <category>kaplan-scaling-laws, scaling-laws, openai, kaplan, foundational, 2020, introduced_in</category>
    </item>
    <item>
      <title>ReAct prompting pattern introduced in: Yao et al. 2022 — synergizing reasoning and acting in language models.</title>
      <link>https://sourcescore.org/claims/95193a0b79c777e8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/95193a0b79c777e8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ReAct prompting pattern introduced in: Yao et al. 2022 — synergizing reasoning and acting in language models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/95193a0b79c777e8.json.</description>
      <category>react, yao, princeton, prompting, agent, foundational, iclr, 2022, introduced_in</category>
    </item>
    <item>
      <title>RAG-Fusion popularized in: Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG.</title>
      <link>https://sourcescore.org/claims/fe4a0d68944f9e5e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fe4a0d68944f9e5e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>RAG-Fusion popularized in: Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fe4a0d68944f9e5e.json.</description>
      <category>rag-fusion, raudaschl, rag, retrieval, 2023, introduced_in</category>
    </item>
    <item>
      <title>CRAG (Corrective RAG) introduced in: Yan et al. 2024 — corrective retrieval-augmented generation.</title>
      <link>https://sourcescore.org/claims/326d6dd16bd353d1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/326d6dd16bd353d1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>CRAG (Corrective RAG) introduced in: Yan et al. 2024 — corrective retrieval-augmented generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/326d6dd16bd353d1.json.</description>
      <category>crag, corrective-rag, ustc, google, rag, foundational, 2024, introduced_in</category>
    </item>
    <item>
      <title>Chain-of-Thought (CoT) introduced in: Wei et al. 2022 — Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.</title>
      <link>https://sourcescore.org/claims/a8503ad535423b54/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a8503ad535423b54/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Chain-of-Thought (CoT) introduced in: Wei et al. 2022 — Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a8503ad535423b54.json.</description>
      <category>chain-of-thought, cot, wei, google-brain, prompting, reasoning, foundational, neurips, 2022, introduced_in</category>
    </item>
    <item>
      <title>Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days).</title>
      <link>https://sourcescore.org/claims/badcfc0b4bb997f1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/badcfc0b4bb997f1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/badcfc0b4bb997f1.json.</description>
      <category>galactica, meta-ai, scientific-llm, released_on, withdrawn, 2022</category>
    </item>
    <item>
      <title>PEFT (parameter-efficient fine-tuning) popularized in: Houlsby et al. 2019 — Adapter Modules + downstream PEFT library.</title>
      <link>https://sourcescore.org/claims/fb9a06ffca4277c1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fb9a06ffca4277c1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>PEFT (parameter-efficient fine-tuning) popularized in: Houlsby et al. 2019 — Adapter Modules + downstream PEFT library. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fb9a06ffca4277c1.json.</description>
      <category>peft, adapters, fine-tuning, huggingface, foundational, icml, 2019, introduced_in</category>
    </item>
    <item>
      <title>Stable LM publicly released on: 2023-04-19 by Stability AI.</title>
      <link>https://sourcescore.org/claims/bc0482b2746e1496/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bc0482b2746e1496/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stable LM publicly released on: 2023-04-19 by Stability AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bc0482b2746e1496.json.</description>
      <category>stable-lm, stability-ai, open-weights, released_on, 2023</category>
    </item>
    <item>
      <title>Falcon LLM publicly released on: 2023-05-23 by Technology Innovation Institute (TII).</title>
      <link>https://sourcescore.org/claims/439e60287fb5fef4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/439e60287fb5fef4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Falcon LLM publicly released on: 2023-05-23 by Technology Innovation Institute (TII). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/439e60287fb5fef4.json.</description>
      <category>falcon, tii, abu-dhabi, open-weights, released_on, 2023</category>
    </item>
    <item>
      <title>Yi (01.AI) publicly released on: 2023-11-05 by 01.AI (Kai-Fu Lee).</title>
      <link>https://sourcescore.org/claims/67bc6f4d2e49b32c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/67bc6f4d2e49b32c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Yi (01.AI) publicly released on: 2023-11-05 by 01.AI (Kai-Fu Lee). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/67bc6f4d2e49b32c.json.</description>
      <category>yi, 01-ai, kai-fu-lee, open-weights, released_on, 2023</category>
    </item>
    <item>
      <title>LangGraph publicly released on: 2024-01-17 by LangChain — agent-graph framework.</title>
      <link>https://sourcescore.org/claims/21cb9a91d350ce7b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/21cb9a91d350ce7b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LangGraph publicly released on: 2024-01-17 by LangChain — agent-graph framework. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/21cb9a91d350ce7b.json.</description>
      <category>langgraph, langchain, agent-framework, open-source, released_on, 2024</category>
    </item>
    <item>
      <title>Mistral Codestral publicly released on: 2024-05-29 by Mistral AI — code-specialized model.</title>
      <link>https://sourcescore.org/claims/f2bd1020da048ee8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f2bd1020da048ee8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Codestral publicly released on: 2024-05-29 by Mistral AI — code-specialized model. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f2bd1020da048ee8.json.</description>
      <category>codestral, mistral, coding-model, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>LMArena (Chatbot Arena) founded in: 2023 — LMSYS Chatbot Arena → LMArena.ai 2024.</title>
      <link>https://sourcescore.org/claims/88ff5918737d7b6b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/88ff5918737d7b6b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LMArena (Chatbot Arena) founded in: 2023 — LMSYS Chatbot Arena → LMArena.ai 2024. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/88ff5918737d7b6b.json.</description>
      <category>lmarena, chatbot-arena, lmsys, evaluation, elo-rating, benchmark, founded, 2023</category>
    </item>
    <item>
      <title>Fireworks AI founded in: 2022 — fast inference for open-source models.</title>
      <link>https://sourcescore.org/claims/c47d097cc3bceaaa/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c47d097cc3bceaaa/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Fireworks AI founded in: 2022 — fast inference for open-source models. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c47d097cc3bceaaa.json.</description>
      <category>fireworks-ai, inference, company, founded, 2022</category>
    </item>
    <item>
      <title>Mistral Small 3 publicly released on: 2025-01-30 by Mistral AI.</title>
      <link>https://sourcescore.org/claims/89dfd066ec1914f7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/89dfd066ec1914f7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Small 3 publicly released on: 2025-01-30 by Mistral AI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/89dfd066ec1914f7.json.</description>
      <category>mistral-small-3, mistral, open-weights, apache-license, released_on, 2025</category>
    </item>
    <item>
      <title>OpenAI Codex (2025 cloud agent) publicly released on: 2025-05-16 — software-engineering agent in ChatGPT cloud.</title>
      <link>https://sourcescore.org/claims/0bc0ab0f17ac640e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/0bc0ab0f17ac640e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Codex (2025 cloud agent) publicly released on: 2025-05-16 — software-engineering agent in ChatGPT cloud. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/0bc0ab0f17ac640e.json.</description>
      <category>codex-2025, openai, coding-agent, released_on, 2025</category>
    </item>
    <item>
      <title>DeepSeek-V2 publicly released on: 2024-05-07 by DeepSeek — MoE 236B-parameter open model.</title>
      <link>https://sourcescore.org/claims/a47cef03b39df7bd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a47cef03b39df7bd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DeepSeek-V2 publicly released on: 2024-05-07 by DeepSeek — MoE 236B-parameter open model. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a47cef03b39df7bd.json.</description>
      <category>deepseek-v2, deepseek, moe, open-weights, released_on, 2024</category>
    </item>
    <item>
      <title>BabyAGI publicly released on: 2023-04-03 by Yohei Nakajima — early autonomous-agent demo.</title>
      <link>https://sourcescore.org/claims/b984609bd3ac9937/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b984609bd3ac9937/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>BabyAGI publicly released on: 2023-04-03 by Yohei Nakajima — early autonomous-agent demo. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b984609bd3ac9937.json.</description>
      <category>babyagi, nakajima, autonomous-agent, foundational, released_on, 2023</category>
    </item>
    <item>
      <title>AutoGPT publicly released on: 2023-03-30 by Toran Bruce Richards — open-source autonomous agent.</title>
      <link>https://sourcescore.org/claims/98fd317b5b0df872/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/98fd317b5b0df872/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AutoGPT publicly released on: 2023-03-30 by Toran Bruce Richards — open-source autonomous agent. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/98fd317b5b0df872.json.</description>
      <category>autogpt, richards, autonomous-agent, foundational, released_on, 2023</category>
    </item>
    <item>
      <title>Vercel AI SDK publicly released on: 2023-06-14 by Vercel — TypeScript-first AI app framework.</title>
      <link>https://sourcescore.org/claims/c1981a2aca51adcf/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c1981a2aca51adcf/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Vercel AI SDK publicly released on: 2023-06-14 by Vercel — TypeScript-first AI app framework. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c1981a2aca51adcf.json.</description>
      <category>vercel-ai-sdk, vercel, framework, typescript, released_on, 2023</category>
    </item>
    <item>
      <title>NVIDIA Nemotron-4 340B publicly released on: 2024-06-14 by NVIDIA — 340B-parameter open-weight model optimized for synthetic data generation.</title>
      <link>https://sourcescore.org/claims/76fbc25b0ccc021c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/76fbc25b0ccc021c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA Nemotron-4 340B publicly released on: 2024-06-14 by NVIDIA — 340B-parameter open-weight model optimized for synthetic data generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/76fbc25b0ccc021c.json.</description>
      <category>nemotron, nvidia, open-weight, synthetic-data, released_on, 2024</category>
    </item>
    <item>
      <title>Cohere Aya 23 publicly released on: 2024-05-22 by Cohere For AI — multilingual model covering 23 languages.</title>
      <link>https://sourcescore.org/claims/99dd55855842a561/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/99dd55855842a561/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cohere Aya 23 publicly released on: 2024-05-22 by Cohere For AI — multilingual model covering 23 languages. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/99dd55855842a561.json.</description>
      <category>aya-23, cohere, multilingual, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>LongBench introduced in paper: LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Bai et al., THU + Zhipu AI 2023-08-28).</title>
      <link>https://sourcescore.org/claims/a41ff9e64baa566f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a41ff9e64baa566f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LongBench introduced in paper: LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding (Bai et al., THU + Zhipu AI 2023-08-28). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a41ff9e64baa566f.json.</description>
      <category>longbench, thu, benchmark, long-context, evaluation, 2023</category>
    </item>
    <item>
      <title>Mistral Pixtral 12B publicly released on: 2024-09-11 by Mistral AI — 12B multimodal vision-language model, Apache 2.0.</title>
      <link>https://sourcescore.org/claims/16ad8de26aee4424/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/16ad8de26aee4424/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Pixtral 12B publicly released on: 2024-09-11 by Mistral AI — 12B multimodal vision-language model, Apache 2.0. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/16ad8de26aee4424.json.</description>
      <category>pixtral, mistral, multimodal, vision-language, apache-2, released_on, 2024</category>
    </item>
    <item>
      <title>Google Gemma 2 publicly released on: 2024-06-27 by Google DeepMind — Gemma 2 family (9B + 27B), Gemma terms.</title>
      <link>https://sourcescore.org/claims/34ccd18a9fbc50d2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/34ccd18a9fbc50d2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Google Gemma 2 publicly released on: 2024-06-27 by Google DeepMind — Gemma 2 family (9B + 27B), Gemma terms. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/34ccd18a9fbc50d2.json.</description>
      <category>gemma-2, google, deepmind, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>NVIDIA NIM publicly released on: 2024-03-18 by NVIDIA — inference microservices for foundation models.</title>
      <link>https://sourcescore.org/claims/2e98d9bb149590fc/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2e98d9bb149590fc/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA NIM publicly released on: 2024-03-18 by NVIDIA — inference microservices for foundation models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2e98d9bb149590fc.json.</description>
      <category>nim, nvidia, inference, microservices, infrastructure, released_on, 2024</category>
    </item>
    <item>
      <title>AWS Bedrock publicly released on: 2023-09-28 by Amazon — managed-service API for foundation models (GA 2023-09-28; preview 2023-04-13).</title>
      <link>https://sourcescore.org/claims/b703e1506d919ee9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b703e1506d919ee9/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AWS Bedrock publicly released on: 2023-09-28 by Amazon — managed-service API for foundation models (GA 2023-09-28; preview 2023-04-13). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b703e1506d919ee9.json.</description>
      <category>aws-bedrock, amazon, managed-service, multi-provider-api, released_on, 2023</category>
    </item>
    <item>
      <title>xAI Grok-2 publicly released on: 2024-08-14 by xAI — Grok-2 + Grok-2 mini release on the X platform.</title>
      <link>https://sourcescore.org/claims/584f8ea427dfdedf/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/584f8ea427dfdedf/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>xAI Grok-2 publicly released on: 2024-08-14 by xAI — Grok-2 + Grok-2 mini release on the X platform. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/584f8ea427dfdedf.json.</description>
      <category>grok-2, xai, frontier-model, released_on, 2024</category>
    </item>
    <item>
      <title>DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights.</title>
      <link>https://sourcescore.org/claims/035eaae4aa32e74d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/035eaae4aa32e74d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/035eaae4aa32e74d.json.</description>
      <category>deepseek-v3, deepseek, moe, open-weight, frontier-model, released_on, 2024</category>
    </item>
    <item>
      <title>Meta SAM 2 publicly released on: 2024-07-29 by Meta AI — Segment Anything Model 2, real-time video segmentation.</title>
      <link>https://sourcescore.org/claims/21f5dc2da6ace5e8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/21f5dc2da6ace5e8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Meta SAM 2 publicly released on: 2024-07-29 by Meta AI — Segment Anything Model 2, real-time video segmentation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/21f5dc2da6ace5e8.json.</description>
      <category>sam-2, meta, segmentation, vision, video, released_on, 2024</category>
    </item>
    <item>
      <title>Mistral Nemo publicly released on: 2024-07-18 by Mistral AI + NVIDIA — 12B model with 128k context, Apache 2.0.</title>
      <link>https://sourcescore.org/claims/2855cd7417bd01bc/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2855cd7417bd01bc/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Nemo publicly released on: 2024-07-18 by Mistral AI + NVIDIA — 12B model with 128k context, Apache 2.0. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2855cd7417bd01bc.json.</description>
      <category>mistral-nemo, mistral, nvidia, open-weight, long-context, released_on, 2024</category>
    </item>
    <item>
      <title>Claude 3.7 Sonnet publicly released on: 2025-02-24 by Anthropic — first hybrid-reasoning model with optional extended-thinking mode.</title>
      <link>https://sourcescore.org/claims/57c9272a3e7cb435/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/57c9272a3e7cb435/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Claude 3.7 Sonnet publicly released on: 2025-02-24 by Anthropic — first hybrid-reasoning model with optional extended-thinking mode. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/57c9272a3e7cb435.json.</description>
      <category>claude-3-7-sonnet, anthropic, hybrid-reasoning, frontier-model, released_on, 2025</category>
    </item>
    <item>
      <title>AlphaCode 2 publicly released on: 2023-12-06 by Google DeepMind — code-generation system performing better than 85% of Codeforces competitors.</title>
      <link>https://sourcescore.org/claims/06495ee9ebd5481e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/06495ee9ebd5481e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AlphaCode 2 publicly released on: 2023-12-06 by Google DeepMind — code-generation system performing better than 85% of Codeforces competitors. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/06495ee9ebd5481e.json.</description>
      <category>alphacode-2, google-deepmind, code-generation, gemini-powered, released_on, 2023</category>
    </item>
    <item>
      <title>Suno v4 publicly released on: 2024-11-19 by Suno — improved music generation, longer outputs, audio remastering.</title>
      <link>https://sourcescore.org/claims/31bf31a9f5c022d3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/31bf31a9f5c022d3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Suno v4 publicly released on: 2024-11-19 by Suno — improved music generation, longer outputs, audio remastering. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/31bf31a9f5c022d3.json.</description>
      <category>suno-v4, suno, music-generation, audio, released_on, 2024</category>
    </item>
    <item>
      <title>AI Index Report 2024 publicly released on: 2024-04-15 by Stanford HAI — 7th annual report measuring AI trends across research, industry, ethics, education, policy.</title>
      <link>https://sourcescore.org/claims/cde195f164c6fcc7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cde195f164c6fcc7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AI Index Report 2024 publicly released on: 2024-04-15 by Stanford HAI — 7th annual report measuring AI trends across research, industry, ethics, education, policy. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cde195f164c6fcc7.json.</description>
      <category>ai-index, stanford-hai, report, benchmark-meta, released_on, 2024</category>
    </item>
    <item>
      <title>HELM introduced in paper: Holistic Evaluation of Language Models (Liang et al., Stanford CRFM 2022-11-16).</title>
      <link>https://sourcescore.org/claims/494f2bf84f0e5dd2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/494f2bf84f0e5dd2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>HELM introduced in paper: Holistic Evaluation of Language Models (Liang et al., Stanford CRFM 2022-11-16). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/494f2bf84f0e5dd2.json.</description>
      <category>helm, stanford-crfm, benchmark, holistic-evaluation, foundational, 2022</category>
    </item>
    <item>
      <title>Google Veo 2 publicly released on: 2024-12-16 by Google DeepMind — 4K text-to-video generation, improved physics + cinematography.</title>
      <link>https://sourcescore.org/claims/d7445da07b77b8ae/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d7445da07b77b8ae/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Google Veo 2 publicly released on: 2024-12-16 by Google DeepMind — 4K text-to-video generation, improved physics + cinematography. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d7445da07b77b8ae.json.</description>
      <category>veo-2, google-deepmind, video-generation, 4k, released_on, 2024</category>
    </item>
    <item>
      <title>OpenAI o3 announced on: 2024-12-20 by OpenAI — frontier reasoning model successor to o1, breakthrough on ARC-AGI eval (87.5%).</title>
      <link>https://sourcescore.org/claims/64f231c18b7b0560/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/64f231c18b7b0560/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI o3 announced on: 2024-12-20 by OpenAI — frontier reasoning model successor to o1, breakthrough on ARC-AGI eval (87.5%). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/64f231c18b7b0560.json.</description>
      <category>o3, openai, reasoning-model, arc-agi, frontier-model, announced_on, 2024</category>
    </item>
    <item>
      <title>NVIDIA Project DIGITS announced on: 2025-01-06 by NVIDIA — personal AI supercomputer with GB10 Grace Blackwell chip, $3000 starting price.</title>
      <link>https://sourcescore.org/claims/d4cb609c49ae0280/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d4cb609c49ae0280/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA Project DIGITS announced on: 2025-01-06 by NVIDIA — personal AI supercomputer with GB10 Grace Blackwell chip, $3000 starting price. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d4cb609c49ae0280.json.</description>
      <category>project-digits, nvidia, ai-hardware, grace-blackwell, personal-ai, announced_on, 2025</category>
    </item>
    <item>
      <title>Anthropic Claude for Education publicly released on: 2025-04-02 by Anthropic — Learning mode + Claude API for education institutions + Northeastern + LSE + Champlain partnerships.</title>
      <link>https://sourcescore.org/claims/c2763c2c2bf08193/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c2763c2c2bf08193/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude for Education publicly released on: 2025-04-02 by Anthropic — Learning mode + Claude API for education institutions + Northeastern + LSE + Champlain partnerships. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c2763c2c2bf08193.json.</description>
      <category>claude-for-education, anthropic, education, learning-mode, released_on, 2025</category>
    </item>
    <item>
      <title>Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference.</title>
      <link>https://sourcescore.org/claims/de5f8a68ffb4cb9d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/de5f8a68ffb4cb9d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json.</description>
      <category>smollm, hugging-face, small-lm, on-device, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>Genmo Mochi 1 publicly released on: 2024-10-22 by Genmo — open-weight text-to-video diffusion model, 10B parameters.</title>
      <link>https://sourcescore.org/claims/06003fb813caf474/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/06003fb813caf474/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Genmo Mochi 1 publicly released on: 2024-10-22 by Genmo — open-weight text-to-video diffusion model, 10B parameters. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/06003fb813caf474.json.</description>
      <category>mochi-1, genmo, video-generation, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>Inflection AI founded in: 2022 by Mustafa Suleyman, Reid Hoffman, Karén Simonyan — consumer-AI company; creator of Pi assistant.</title>
      <link>https://sourcescore.org/claims/981662c18b08c628/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/981662c18b08c628/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Inflection AI founded in: 2022 by Mustafa Suleyman, Reid Hoffman, Karén Simonyan — consumer-AI company; creator of Pi assistant. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/981662c18b08c628.json.</description>
      <category>inflection-ai, suleyman, hoffman, simonyan, company-history, pi-assistant, founded_in, 2022</category>
    </item>
    <item>
      <title>Character AI founded in: 2021 by Noam Shazeer + Daniel De Freitas (former Google LaMDA team) — consumer chatbot platform.</title>
      <link>https://sourcescore.org/claims/7b392a8d3332896f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7b392a8d3332896f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Character AI founded in: 2021 by Noam Shazeer + Daniel De Freitas (former Google LaMDA team) — consumer chatbot platform. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7b392a8d3332896f.json.</description>
      <category>character-ai, shazeer, de-freitas, lamda-team, company-history, founded_in, 2021</category>
    </item>
    <item>
      <title>Adept AI founded in: 2022 by David Luan + Niki Parmar + Ashish Vaswani — agent-AI company building action transformer models.</title>
      <link>https://sourcescore.org/claims/8e33113147c2f543/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8e33113147c2f543/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Adept AI founded in: 2022 by David Luan + Niki Parmar + Ashish Vaswani — agent-AI company building action transformer models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8e33113147c2f543.json.</description>
      <category>adept-ai, luan, parmar, vaswani, agent-company, act-1, founded_in, 2022</category>
    </item>
    <item>
      <title>Mistral Saba publicly released on: 2025-02-17 by Mistral AI — 24B model optimized for Arabic + South Asian languages.</title>
      <link>https://sourcescore.org/claims/77552d2d7796ed7c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/77552d2d7796ed7c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Saba publicly released on: 2025-02-17 by Mistral AI — 24B model optimized for Arabic + South Asian languages. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/77552d2d7796ed7c.json.</description>
      <category>mistral-saba, mistral, arabic, south-asian, multilingual, released_on, 2025</category>
    </item>
    <item>
      <title>Tencent Hunyuan-Large publicly released on: 2024-11-05 by Tencent — 389B-parameter open-weight MoE (52B active).</title>
      <link>https://sourcescore.org/claims/bffa9a720c420248/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bffa9a720c420248/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Tencent Hunyuan-Large publicly released on: 2024-11-05 by Tencent — 389B-parameter open-weight MoE (52B active). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bffa9a720c420248.json.</description>
      <category>hunyuan-large, tencent, moe, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes.</title>
      <link>https://sourcescore.org/claims/bd9e6a7e9395cdc0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bd9e6a7e9395cdc0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.json.</description>
      <category>olmo-2, allen-ai, fully-open, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>IBM Granite publicly released on: 2024-05-09 by IBM — open-weight enterprise-AI model family (3B/8B/13B/20B/34B), Apache 2.0.</title>
      <link>https://sourcescore.org/claims/d06631e4705db25d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d06631e4705db25d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>IBM Granite publicly released on: 2024-05-09 by IBM — open-weight enterprise-AI model family (3B/8B/13B/20B/34B), Apache 2.0. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d06631e4705db25d.json.</description>
      <category>granite, ibm, enterprise-ai, apache-2, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>AI21 Jamba publicly released on: 2024-03-28 by AI21 Labs — first production-grade hybrid SSM-Transformer (Mamba + Transformer) model, 52B/12B active.</title>
      <link>https://sourcescore.org/claims/4bacee2c8f1f004c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4bacee2c8f1f004c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>AI21 Jamba publicly released on: 2024-03-28 by AI21 Labs — first production-grade hybrid SSM-Transformer (Mamba + Transformer) model, 52B/12B active. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4bacee2c8f1f004c.json.</description>
      <category>jamba, ai21, ssm-transformer, mamba, hybrid-architecture, released_on, 2024</category>
    </item>
    <item>
      <title>Meta Llama 3.2 Vision publicly released on: 2024-09-25 by Meta — 11B + 90B vision-language variants of Llama 3.2.</title>
      <link>https://sourcescore.org/claims/8b8ff1a29ec72daa/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8b8ff1a29ec72daa/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Meta Llama 3.2 Vision publicly released on: 2024-09-25 by Meta — 11B + 90B vision-language variants of Llama 3.2. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8b8ff1a29ec72daa.json.</description>
      <category>llama-3-2-vision, meta, vision-language, multimodal, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>OpenAI o4-mini publicly released on: 2025-04-16 by OpenAI — successor to o3-mini reasoning model with multimodal input + tool use.</title>
      <link>https://sourcescore.org/claims/dc1848333261768b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dc1848333261768b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI o4-mini publicly released on: 2025-04-16 by OpenAI — successor to o3-mini reasoning model with multimodal input + tool use. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dc1848333261768b.json.</description>
      <category>o4-mini, openai, reasoning-model, multimodal, tool-use, released_on, 2025</category>
    </item>
    <item>
      <title>Mistral Le Chat publicly released on: 2024-02-26 by Mistral AI — consumer chat assistant interface to Mistral models.</title>
      <link>https://sourcescore.org/claims/f8dedb74e1f4c24c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f8dedb74e1f4c24c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Le Chat publicly released on: 2024-02-26 by Mistral AI — consumer chat assistant interface to Mistral models. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f8dedb74e1f4c24c.json.</description>
      <category>le-chat, mistral, consumer-chat, released_on, 2024</category>
    </item>
    <item>
      <title>Cohere Embed v4 publicly released on: 2025-04-09 by Cohere — multimodal embedding model, 256k context support, 100+ languages.</title>
      <link>https://sourcescore.org/claims/2f9c856fbdd1a2c7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2f9c856fbdd1a2c7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cohere Embed v4 publicly released on: 2025-04-09 by Cohere — multimodal embedding model, 256k context support, 100+ languages. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2f9c856fbdd1a2c7.json.</description>
      <category>embed-v4, cohere, embeddings, multimodal, rag, released_on, 2025</category>
    </item>
    <item>
      <title>Stability AI Stable Diffusion 3.5 publicly released on: 2024-10-22 by Stability AI — SD 3.5 Large (8B) + Medium + Large Turbo open-weight image generation.</title>
      <link>https://sourcescore.org/claims/c1951f83b6705727/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c1951f83b6705727/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stability AI Stable Diffusion 3.5 publicly released on: 2024-10-22 by Stability AI — SD 3.5 Large (8B) + Medium + Large Turbo open-weight image generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c1951f83b6705727.json.</description>
      <category>sd-3-5, stability-ai, text-to-image, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>Langfuse founded in: 2022 by Marc Klingen + Max Deichmann + Clemens Rawert — open-source LLM observability + tracing platform.</title>
      <link>https://sourcescore.org/claims/e10249c02a470237/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e10249c02a470237/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Langfuse founded in: 2022 by Marc Klingen + Max Deichmann + Clemens Rawert — open-source LLM observability + tracing platform. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e10249c02a470237.json.</description>
      <category>langfuse, observability, tracing, open-source, yc-w23, company-history, founded_in, 2022</category>
    </item>
    <item>
      <title>Google Gemma 3 publicly released on: 2025-03-12 by Google DeepMind — Gemma 3 family (1B/4B/12B/27B), 128k context, multimodal vision.</title>
      <link>https://sourcescore.org/claims/a832aaba30ee658e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a832aaba30ee658e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Google Gemma 3 publicly released on: 2025-03-12 by Google DeepMind — Gemma 3 family (1B/4B/12B/27B), 128k context, multimodal vision. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a832aaba30ee658e.json.</description>
      <category>gemma-3, google, deepmind, open-weight, multimodal, released_on, 2025</category>
    </item>
    <item>
      <title>LangFlow publicly released on: 2023-02-04 by Logspace — open-source visual builder for LangChain workflows.</title>
      <link>https://sourcescore.org/claims/d213c9da3c640697/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d213c9da3c640697/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>LangFlow publicly released on: 2023-02-04 by Logspace — open-source visual builder for LangChain workflows. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d213c9da3c640697.json.</description>
      <category>langflow, langchain, visual-builder, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Vellum AI founded in: 2023 by Akash Sharma + Sidd Seethepalli + Noa Flaherty — LLM application development platform (YC W23).</title>
      <link>https://sourcescore.org/claims/bc80872c632bf77e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bc80872c632bf77e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Vellum AI founded in: 2023 by Akash Sharma + Sidd Seethepalli + Noa Flaherty — LLM application development platform (YC W23). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bc80872c632bf77e.json.</description>
      <category>vellum-ai, llm-platform, yc-w23, company-history, founded_in, 2023</category>
    </item>
    <item>
      <title>Helicone founded in: 2022 by Justin Torre + Cole Gottdank + Scott Nguyen — open-source LLM observability + analytics (YC W23).</title>
      <link>https://sourcescore.org/claims/a3fec2abf9eaadd8/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a3fec2abf9eaadd8/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Helicone founded in: 2022 by Justin Torre + Cole Gottdank + Scott Nguyen — open-source LLM observability + analytics (YC W23). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a3fec2abf9eaadd8.json.</description>
      <category>helicone, observability, open-source, yc-w23, company-history, founded_in, 2022</category>
    </item>
    <item>
      <title>Bolt.new publicly released on: 2024-10 by StackBlitz — AI web app builder generating full-stack apps from natural-language prompts.</title>
      <link>https://sourcescore.org/claims/9b32fe5b56586a92/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9b32fe5b56586a92/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Bolt.new publicly released on: 2024-10 by StackBlitz — AI web app builder generating full-stack apps from natural-language prompts. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9b32fe5b56586a92.json.</description>
      <category>bolt-new, stackblitz, ai-coding, web-builder, released_on, 2024</category>
    </item>
    <item>
      <title>Lovable founded in: 2023 by Anton Osika + Fabian Hedin — AI app builder evolved from GPT-Engineer (Stockholm).</title>
      <link>https://sourcescore.org/claims/f785cf2844a30ad3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f785cf2844a30ad3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Lovable founded in: 2023 by Anton Osika + Fabian Hedin — AI app builder evolved from GPT-Engineer (Stockholm). Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f785cf2844a30ad3.json.</description>
      <category>lovable, gpt-engineer, osika, ai-coding, company-history, founded_in, 2023</category>
    </item>
    <item>
      <title>Windsurf publicly released on: 2024-11-13 by Codeium — AI-native IDE editor (renamed from Codeium IDE), forked from VSCode.</title>
      <link>https://sourcescore.org/claims/2764b12afd26d624/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2764b12afd26d624/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Windsurf publicly released on: 2024-11-13 by Codeium — AI-native IDE editor (renamed from Codeium IDE), forked from VSCode. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2764b12afd26d624.json.</description>
      <category>windsurf, codeium, ai-ide, vscode-fork, agentic-coding, released_on, 2024</category>
    </item>
    <item>
      <title>Anthropic Claude Sonnet 4.5 publicly released on: 2025-09-29 by Anthropic — production model improvements over Sonnet 4 with extended-thinking + better coding.</title>
      <link>https://sourcescore.org/claims/599668ba56c91952/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/599668ba56c91952/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Sonnet 4.5 publicly released on: 2025-09-29 by Anthropic — production model improvements over Sonnet 4 with extended-thinking + better coding. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/599668ba56c91952.json.</description>
      <category>claude-sonnet-4-5, anthropic, frontier-model, extended-thinking, released_on, 2025</category>
    </item>
    <item>
      <title>NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material.</title>
      <link>https://sourcescore.org/claims/f8fb76bf3685dcae/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f8fb76bf3685dcae/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>NotebookLM publicly released on: 2023-07-12 by Google Labs — AI research assistant grounding responses in user-uploaded source material. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f8fb76bf3685dcae.json.</description>
      <category>notebooklm, google, rag, research-assistant, released_on, 2023</category>
    </item>
    <item>
      <title>Suno v3 publicly released on: 2024-03-21 by Suno — improved music generation (full 2-minute songs, lyrics + instrumentation).</title>
      <link>https://sourcescore.org/claims/ea8efc5e58903e43/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ea8efc5e58903e43/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Suno v3 publicly released on: 2024-03-21 by Suno — improved music generation (full 2-minute songs, lyrics + instrumentation). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ea8efc5e58903e43.json.</description>
      <category>suno-v3, suno, music-generation, released_on, 2024</category>
    </item>
    <item>
      <title>Microsoft Copilot Studio publicly released on: 2023-11-15 by Microsoft — low-code platform for building custom enterprise AI copilots.</title>
      <link>https://sourcescore.org/claims/f94e95125f14925b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f94e95125f14925b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Microsoft Copilot Studio publicly released on: 2023-11-15 by Microsoft — low-code platform for building custom enterprise AI copilots. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f94e95125f14925b.json.</description>
      <category>copilot-studio, microsoft, enterprise-ai, low-code, released_on, 2023</category>
    </item>
    <item>
      <title>Continue.dev publicly released on: 2023-07-26 by Continue Dev Inc — open-source AI coding assistant (VS Code + JetBrains extensions).</title>
      <link>https://sourcescore.org/claims/be7eb46d8cbc9f42/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/be7eb46d8cbc9f42/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Continue.dev publicly released on: 2023-07-26 by Continue Dev Inc — open-source AI coding assistant (VS Code + JetBrains extensions). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/be7eb46d8cbc9f42.json.</description>
      <category>continue-dev, ai-coding, open-source, vscode, jetbrains, released_on, 2023</category>
    </item>
    <item>
      <title>Vercel v0 publicly released on: 2023-10-31 by Vercel — AI tool generating React + Tailwind UI from text prompts.</title>
      <link>https://sourcescore.org/claims/8d00de112229babb/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8d00de112229babb/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Vercel v0 publicly released on: 2023-10-31 by Vercel — AI tool generating React + Tailwind UI from text prompts. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8d00de112229babb.json.</description>
      <category>v0, vercel, generative-ui, ai-coding, react, released_on, 2023</category>
    </item>
    <item>
      <title>Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI.</title>
      <link>https://sourcescore.org/claims/fdf293ee05e8168d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fdf293ee05e8168d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.json.</description>
      <category>google-ai-studio, google, gemini, developer-tool, released_on, 2023</category>
    </item>
    <item>
      <title>Anthropic Skills publicly released on: 2025-10-16 by Anthropic — Claude can use named skills (curated capability packs).</title>
      <link>https://sourcescore.org/claims/32e42b3552f73fe2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/32e42b3552f73fe2/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Skills publicly released on: 2025-10-16 by Anthropic — Claude can use named skills (curated capability packs). Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/32e42b3552f73fe2.json.</description>
      <category>anthropic-skills, anthropic, agent-capabilities, released_on, 2025</category>
    </item>
    <item>
      <title>ChatGPT Atlas publicly released on: 2025-10-21 by OpenAI — AI-native web browser with built-in ChatGPT agent.</title>
      <link>https://sourcescore.org/claims/7dfdd873ebc5d9ed/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7dfdd873ebc5d9ed/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ChatGPT Atlas publicly released on: 2025-10-21 by OpenAI — AI-native web browser with built-in ChatGPT agent. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7dfdd873ebc5d9ed.json.</description>
      <category>chatgpt-atlas, openai, ai-browser, agent, released_on, 2025</category>
    </item>
    <item>
      <title>Mistral Magistral publicly released on: 2025-06-10 by Mistral AI — first Mistral reasoning model (Magistral Small open-weight + Medium API).</title>
      <link>https://sourcescore.org/claims/80c9dd42733967cd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/80c9dd42733967cd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Magistral publicly released on: 2025-06-10 by Mistral AI — first Mistral reasoning model (Magistral Small open-weight + Medium API). Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/80c9dd42733967cd.json.</description>
      <category>magistral, mistral, reasoning-model, open-weight, released_on, 2025</category>
    </item>
    <item>
      <title>Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input).</title>
      <link>https://sourcescore.org/claims/288c8e0043942285/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/288c8e0043942285/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Black Forest Labs Flux.1 Kontext publicly released on: 2025-05-29 by Black Forest Labs — image generation with in-context editing (text + image input). Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/288c8e0043942285.json.</description>
      <category>flux-kontext, black-forest-labs, image-editing, multimodal, released_on, 2025</category>
    </item>
    <item>
      <title>Cohere Command A publicly released on: 2025-03-13 by Cohere — flagship enterprise model with 256k context, agentic workflows focus.</title>
      <link>https://sourcescore.org/claims/f43580522aad015d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f43580522aad015d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cohere Command A publicly released on: 2025-03-13 by Cohere — flagship enterprise model with 256k context, agentic workflows focus. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f43580522aad015d.json.</description>
      <category>command-a, cohere, enterprise-ai, agentic, released_on, 2025</category>
    </item>
    <item>
      <title>Stability AI Stable Video 4D publicly released on: 2024-07-24 by Stability AI — first model generating dynamic novel-view synthesis (4D = 3D + time) from single video input.</title>
      <link>https://sourcescore.org/claims/814ade863cd3f395/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/814ade863cd3f395/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stability AI Stable Video 4D publicly released on: 2024-07-24 by Stability AI — first model generating dynamic novel-view synthesis (4D = 3D + time) from single video input. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/814ade863cd3f395.json.</description>
      <category>stable-video-4d, stability-ai, video-generation, novel-view-synthesis, released_on, 2024</category>
    </item>
    <item>
      <title>Tencent Hunyuan Video publicly released on: 2024-12-04 by Tencent — 13B-parameter open-weight text-to-video model.</title>
      <link>https://sourcescore.org/claims/afc55f890c5d347c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/afc55f890c5d347c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Tencent Hunyuan Video publicly released on: 2024-12-04 by Tencent — 13B-parameter open-weight text-to-video model. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/afc55f890c5d347c.json.</description>
      <category>hunyuan-video, tencent, video-generation, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>ByteDance Doubao 1.5 Pro publicly released on: 2025-01-22 by ByteDance — MoE LLM matching GPT-4o quality on Chinese benchmarks, lower inference cost.</title>
      <link>https://sourcescore.org/claims/1853e2c2c1277656/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1853e2c2c1277656/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ByteDance Doubao 1.5 Pro publicly released on: 2025-01-22 by ByteDance — MoE LLM matching GPT-4o quality on Chinese benchmarks, lower inference cost. Verified 2026-05-16. Confidence 85%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1853e2c2c1277656.json.</description>
      <category>doubao-1-5-pro, bytedance, moe, chinese-llm, released_on, 2025</category>
    </item>
    <item>
      <title>Krea AI founded in: 2023 by Diego Rodriguez + Victor Perez — real-time AI image generation + creative tooling.</title>
      <link>https://sourcescore.org/claims/324729606bd6df3c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/324729606bd6df3c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Krea AI founded in: 2023 by Diego Rodriguez + Victor Perez — real-time AI image generation + creative tooling. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/324729606bd6df3c.json.</description>
      <category>krea-ai, image-generation, real-time, company-history, founded_in, 2023</category>
    </item>
    <item>
      <title>ElevenLabs Conversational AI publicly released on: 2024-11-19 by ElevenLabs — voice-to-voice agent platform combining ASR + LLM + TTS in single API.</title>
      <link>https://sourcescore.org/claims/a4d1de53a97a75a5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a4d1de53a97a75a5/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>ElevenLabs Conversational AI publicly released on: 2024-11-19 by ElevenLabs — voice-to-voice agent platform combining ASR + LLM + TTS in single API. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a4d1de53a97a75a5.json.</description>
      <category>elevenlabs-conversational, elevenlabs, voice-agent, asr-llm-tts, released_on, 2024</category>
    </item>
    <item>
      <title>xAI Grok 4 publicly released on: 2025-07-09 by xAI — Grok 4 frontier model + Grok 4 Heavy multi-agent variant.</title>
      <link>https://sourcescore.org/claims/cc5cf53dd3b1f03f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cc5cf53dd3b1f03f/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>xAI Grok 4 publicly released on: 2025-07-09 by xAI — Grok 4 frontier model + Grok 4 Heavy multi-agent variant. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cc5cf53dd3b1f03f.json.</description>
      <category>grok-4, xai, frontier-model, multi-agent, released_on, 2025</category>
    </item>
    <item>
      <title>Anthropic Claude Memory publicly released on: 2025-09 by Anthropic — Claude memory referencing past chats (Team Sep 11 2025; Enterprise Sep 18 2025; Pro &amp; Max Oct 23 2025; all plans Mar 2 2026).</title>
      <link>https://sourcescore.org/claims/a4d64a4b3ca446fd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a4d64a4b3ca446fd/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Memory publicly released on: 2025-09 by Anthropic — Claude memory referencing past chats (Team Sep 11 2025; Enterprise Sep 18 2025; Pro &amp; Max Oct 23 2025; all plans Mar 2 2026). Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a4d64a4b3ca446fd.json.</description>
      <category>claude-memory, anthropic, persistent-memory, released_on, 2025</category>
    </item>
    <item>
      <title>Mistral OCR publicly released on: 2025-03-06 by Mistral AI — document-understanding OCR model with high-fidelity table + math extraction.</title>
      <link>https://sourcescore.org/claims/4dd7b4def580a08b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/4dd7b4def580a08b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral OCR publicly released on: 2025-03-06 by Mistral AI — document-understanding OCR model with high-fidelity table + math extraction. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/4dd7b4def580a08b.json.</description>
      <category>mistral-ocr, mistral, document-ai, ocr, released_on, 2025</category>
    </item>
    <item>
      <title>OpenAI Sora 2 publicly released on: 2025-09-30 by OpenAI — Sora 2 text-to-video with synchronized audio + improved physics fidelity.</title>
      <link>https://sourcescore.org/claims/539dd3db16168dd3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/539dd3db16168dd3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenAI Sora 2 publicly released on: 2025-09-30 by OpenAI — Sora 2 text-to-video with synchronized audio + improved physics fidelity. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/539dd3db16168dd3.json.</description>
      <category>sora-2, openai, video-generation, audio-sync, released_on, 2025</category>
    </item>
    <item>
      <title>Google Imagen 4 publicly released on: 2025-05-20 by Google DeepMind — Imagen 4 text-to-image with significantly improved text rendering.</title>
      <link>https://sourcescore.org/claims/ff214ffd0c6eda99/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ff214ffd0c6eda99/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Google Imagen 4 publicly released on: 2025-05-20 by Google DeepMind — Imagen 4 text-to-image with significantly improved text rendering. Verified 2026-05-16. Confidence 90%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ff214ffd0c6eda99.json.</description>
      <category>imagen-4, google-deepmind, text-to-image, released_on, 2025</category>
    </item>
    <item>
      <title>Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini.</title>
      <link>https://sourcescore.org/claims/25e17b81487f4bf7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/25e17b81487f4bf7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Inception Labs Mercury publicly released on: 2025-02-26 by Inception Labs — first commercial diffusion LLM (dLLM), Mercury Coder Small + Mini. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/25e17b81487f4bf7.json.</description>
      <category>mercury, inception-labs, diffusion-llm, novel-architecture, released_on, 2025</category>
    </item>
    <item>
      <title>Anthropic Files API publicly released on: 2025-03-25 by Anthropic — file upload + reference API for Claude, supports PDF + image + spreadsheet.</title>
      <link>https://sourcescore.org/claims/d5836ef4cc0e8a20/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d5836ef4cc0e8a20/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Files API publicly released on: 2025-03-25 by Anthropic — file upload + reference API for Claude, supports PDF + image + spreadsheet. Verified 2026-05-16. Confidence 85%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d5836ef4cc0e8a20.json.</description>
      <category>anthropic-files-api, anthropic, file-upload, multimodal, released_on, 2025</category>
    </item>
    <item>
      <title>Stability AI Stable Audio 2.0 publicly released on: 2024-04-03 by Stability AI — Stable Audio 2.0 long-form music + sound effects from text prompts.</title>
      <link>https://sourcescore.org/claims/1317fa4fd47a7de1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1317fa4fd47a7de1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Stability AI Stable Audio 2.0 publicly released on: 2024-04-03 by Stability AI — Stable Audio 2.0 long-form music + sound effects from text prompts. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1317fa4fd47a7de1.json.</description>
      <category>stable-audio, stability-ai, text-to-audio, music-generation, released_on, 2024</category>
    </item>
    <item>
      <title>Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages.</title>
      <link>https://sourcescore.org/claims/e3a0e94cbeffe2c4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e3a0e94cbeffe2c4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Cohere Aya Vision publicly released on: 2025-03-04 by Cohere For AI — multilingual open-weight vision-language models (8B + 32B), 23 languages. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e3a0e94cbeffe2c4.json.</description>
      <category>aya-vision, cohere, multilingual, vision-language, open-weight, released_on, 2025</category>
    </item>
    <item>
      <title>Glean founded in: 2019 by Arvind Jain + T.R. Vishwanath + Tony Gentilcore + Piyush Prahladka — enterprise AI work assistant (search + agents).</title>
      <link>https://sourcescore.org/claims/dccd22fd257e6d6d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dccd22fd257e6d6d/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Glean founded in: 2019 by Arvind Jain + T.R. Vishwanath + Tony Gentilcore + Piyush Prahladka — enterprise AI work assistant (search + agents). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dccd22fd257e6d6d.json.</description>
      <category>glean, enterprise-ai, work-assistant, jain, company-history, founded_in, 2019</category>
    </item>
    <item>
      <title>Qwen 3 publicly released on: 2025-04-29 by Alibaba — Qwen 3 family (0.6B-235B), hybrid thinking mode, 128k context.</title>
      <link>https://sourcescore.org/claims/f624095168fb0766/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f624095168fb0766/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Qwen 3 publicly released on: 2025-04-29 by Alibaba — Qwen 3 family (0.6B-235B), hybrid thinking mode, 128k context. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f624095168fb0766.json.</description>
      <category>qwen-3, alibaba, open-weight, hybrid-thinking, released_on, 2025</category>
    </item>
    <item>
      <title>Magentic-One publicly released on: 2024-11-04 by Microsoft Research — generalist multi-agent system built on AutoGen.</title>
      <link>https://sourcescore.org/claims/190b214919bf5cde/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/190b214919bf5cde/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Magentic-One publicly released on: 2024-11-04 by Microsoft Research — generalist multi-agent system built on AutoGen. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/190b214919bf5cde.json.</description>
      <category>magentic-one, microsoft-research, multi-agent, autogen, released_on, 2024</category>
    </item>
    <item>
      <title>Microsoft Phi-4 Multimodal publicly released on: 2025-02-26 by Microsoft — Phi-4-multimodal 5.6B parameters with audio + image + text.</title>
      <link>https://sourcescore.org/claims/cd1056deef1c0597/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/cd1056deef1c0597/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Microsoft Phi-4 Multimodal publicly released on: 2025-02-26 by Microsoft — Phi-4-multimodal 5.6B parameters with audio + image + text. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/cd1056deef1c0597.json.</description>
      <category>phi-4-multimodal, microsoft, small-lm, multimodal, released_on, 2025</category>
    </item>
    <item>
      <title>Snowflake Arctic publicly released on: 2024-04-24 by Snowflake — 480B-parameter MoE LLM (17B active), Apache 2.0.</title>
      <link>https://sourcescore.org/claims/ecf617a1457e6ede/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ecf617a1457e6ede/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Snowflake Arctic publicly released on: 2024-04-24 by Snowflake — 480B-parameter MoE LLM (17B active), Apache 2.0. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ecf617a1457e6ede.json.</description>
      <category>arctic, snowflake, moe, enterprise, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License.</title>
      <link>https://sourcescore.org/claims/bbffd3da8c5258aa/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bbffd3da8c5258aa/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json.</description>
      <category>dbrx, databricks, moe, open-weight, released_on, 2024</category>
    </item>
    <item>
      <title>Reka Core publicly released on: 2024-04-15 by Reka AI — frontier multimodal LLM (text + image + audio + video input).</title>
      <link>https://sourcescore.org/claims/6569f95366abae46/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6569f95366abae46/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Reka Core publicly released on: 2024-04-15 by Reka AI — frontier multimodal LLM (text + image + audio + video input). Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6569f95366abae46.json.</description>
      <category>reka-core, reka-ai, multimodal, frontier-model, released_on, 2024</category>
    </item>
    <item>
      <title>Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture.</title>
      <link>https://sourcescore.org/claims/9a2f6b1fb29ad505/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9a2f6b1fb29ad505/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Liquid AI LFM publicly released on: 2024-09-30 by Liquid AI — Liquid Foundation Models (LFM-1B/3B/40B) using novel non-Transformer architecture. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9a2f6b1fb29ad505.json.</description>
      <category>lfm, liquid-ai, novel-architecture, non-transformer, released_on, 2024</category>
    </item>
    <item>
      <title>Mistral Medium 3 publicly released on: 2025-05-07 by Mistral AI — Medium-tier proprietary model balancing cost + performance.</title>
      <link>https://sourcescore.org/claims/8d97e6d86549e569/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8d97e6d86549e569/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Mistral Medium 3 publicly released on: 2025-05-07 by Mistral AI — Medium-tier proprietary model balancing cost + performance. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8d97e6d86549e569.json.</description>
      <category>mistral-medium-3, mistral, enterprise, released_on, 2025</category>
    </item>
    <item>
      <title>Allen AI Molmo publicly released on: 2024-09-25 by Allen Institute for AI — fully-open multimodal VLM family (1B/7B/72B), Apache 2.0.</title>
      <link>https://sourcescore.org/claims/dc2a0606a47f3ac4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dc2a0606a47f3ac4/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Allen AI Molmo publicly released on: 2024-09-25 by Allen Institute for AI — fully-open multimodal VLM family (1B/7B/72B), Apache 2.0. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dc2a0606a47f3ac4.json.</description>
      <category>molmo, allen-ai, fully-open, vision-language, multimodal, released_on, 2024</category>
    </item>
    <item>
      <title>Replit Ghostwriter publicly released on: 2022-10-26 by Replit — AI pair-programmer (renamed Replit AI in 2023).</title>
      <link>https://sourcescore.org/claims/6621efa92dc14702/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6621efa92dc14702/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Replit Ghostwriter publicly released on: 2022-10-26 by Replit — AI pair-programmer (renamed Replit AI in 2023). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6621efa92dc14702.json.</description>
      <category>replit-ghostwriter, replit, ai-coding, released_on, 2022</category>
    </item>
    <item>
      <title>xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models.</title>
      <link>https://sourcescore.org/claims/22acd1a710e1dcad/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/22acd1a710e1dcad/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json.</description>
      <category>colossus, xai, supercomputer, h100, ai-infrastructure, released_on, 2024</category>
    </item>
    <item>
      <title>Hugging Face Inference Endpoints publicly released on: 2022-09-27 by Hugging Face — managed inference deployment for any HF model.</title>
      <link>https://sourcescore.org/claims/87407b8052918e59/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/87407b8052918e59/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Hugging Face Inference Endpoints publicly released on: 2022-09-27 by Hugging Face — managed inference deployment for any HF model. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/87407b8052918e59.json.</description>
      <category>hugging-face-inference-endpoints, hugging-face, managed-inference, released_on, 2022</category>
    </item>
    <item>
      <title>Microsoft Copilot publicly released on: 2023-09-21 by Microsoft — consumer AI assistant (renamed from Bing Chat) integrated across Windows + Edge + Office.</title>
      <link>https://sourcescore.org/claims/f351a84c1527348a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f351a84c1527348a/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Microsoft Copilot publicly released on: 2023-09-21 by Microsoft — consumer AI assistant (renamed from Bing Chat) integrated across Windows + Edge + Office. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f351a84c1527348a.json.</description>
      <category>microsoft-copilot, microsoft, consumer-ai, released_on, 2023</category>
    </item>
    <item>
      <title>Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute).</title>
      <link>https://sourcescore.org/claims/a51600b7fa174a8e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a51600b7fa174a8e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Apple Foundation Models publicly released on: 2024-06-10 by Apple — Apple Intelligence foundation models announced at WWDC 2024 (on-device + Private Cloud Compute). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a51600b7fa174a8e.json.</description>
      <category>apple-foundation-models, apple, on-device, private-cloud-compute, released_on, 2024</category>
    </item>
    <item>
      <title>Meta Movie Gen publicly released on: 2024-10-04 by Meta AI — research preview of 30B-parameter text-to-video + 13B text-to-audio generation.</title>
      <link>https://sourcescore.org/claims/5dfb0d4834bb27c0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5dfb0d4834bb27c0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Meta Movie Gen publicly released on: 2024-10-04 by Meta AI — research preview of 30B-parameter text-to-video + 13B text-to-audio generation. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5dfb0d4834bb27c0.json.</description>
      <category>movie-gen, meta, video-generation, audio-generation, released_on, 2024</category>
    </item>
    <item>
      <title>NVIDIA Cosmos publicly released on: 2025-01-06 by NVIDIA — World Foundation Models platform for physical AI + robotics + autonomous-vehicle training.</title>
      <link>https://sourcescore.org/claims/6238d869e09eba4b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/6238d869e09eba4b/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA Cosmos publicly released on: 2025-01-06 by NVIDIA — World Foundation Models platform for physical AI + robotics + autonomous-vehicle training. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/6238d869e09eba4b.json.</description>
      <category>cosmos, nvidia, world-foundation-models, physical-ai, robotics, released_on, 2025</category>
    </item>
    <item>
      <title>IBM Granite 3 publicly released on: 2024-10-21 by IBM — Granite 3 family (2B/8B + MoE variants), Apache 2.0 enterprise focus.</title>
      <link>https://sourcescore.org/claims/674b1f2ab047c55c/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/674b1f2ab047c55c/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>IBM Granite 3 publicly released on: 2024-10-21 by IBM — Granite 3 family (2B/8B + MoE variants), Apache 2.0 enterprise focus. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/674b1f2ab047c55c.json.</description>
      <category>granite-3, ibm, enterprise-ai, apache-2, released_on, 2024</category>
    </item>
    <item>
      <title>NVIDIA Llama Nemotron publicly released on: 2025-03-18 by NVIDIA — Llama Nemotron family fine-tuned for reasoning + agentic workflows.</title>
      <link>https://sourcescore.org/claims/d23a0e0e0c05e5da/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d23a0e0e0c05e5da/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>NVIDIA Llama Nemotron publicly released on: 2025-03-18 by NVIDIA — Llama Nemotron family fine-tuned for reasoning + agentic workflows. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d23a0e0e0c05e5da.json.</description>
      <category>llama-nemotron, nvidia, reasoning-model, agentic, released_on, 2025</category>
    </item>
    <item>
      <title>Anthropic Constitutional Classifiers publicly released on: 2025-02-04 by Anthropic — safeguard against jailbreaks via constitutional-trained input/output filters.</title>
      <link>https://sourcescore.org/claims/688a84a8d7211fc0/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/688a84a8d7211fc0/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Constitutional Classifiers publicly released on: 2025-02-04 by Anthropic — safeguard against jailbreaks via constitutional-trained input/output filters. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/688a84a8d7211fc0.json.</description>
      <category>constitutional-classifiers, anthropic, ai-safety, jailbreak-defense, released_on, 2025</category>
    </item>
    <item>
      <title>Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems.</title>
      <link>https://sourcescore.org/claims/bb84d2178934a0f6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bb84d2178934a0f6/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Microsoft AutoGen publicly released on: 2023-09-25 by Microsoft Research — open-source framework for building multi-agent LLM systems. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bb84d2178934a0f6.json.</description>
      <category>autogen, microsoft-research, multi-agent, open-source, released_on, 2023</category>
    </item>
    <item>
      <title>Firecrawl publicly released on: 2024-04-15 by Mendable AI — web-scraping API converting any URL to LLM-ready markdown.</title>
      <link>https://sourcescore.org/claims/7f177f7f329a39e3/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7f177f7f329a39e3/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Firecrawl publicly released on: 2024-04-15 by Mendable AI — web-scraping API converting any URL to LLM-ready markdown. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7f177f7f329a39e3.json.</description>
      <category>firecrawl, mendable, web-scraping, llm-ready-markdown, released_on, 2024</category>
    </item>
    <item>
      <title>Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval.</title>
      <link>https://sourcescore.org/claims/805ca20c03f0797e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/805ca20c03f0797e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Exa founded in: 2021 by Will Bryk + Jeff Wang — AI-native search API (formerly Metaphor) for LLM retrieval. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/805ca20c03f0797e.json.</description>
      <category>exa, metaphor, ai-search, embedding-search, company-history, founded_in, 2021</category>
    </item>
    <item>
      <title>Jina AI founded in: 2020 by Han Xiao — open-source multimodal AI infrastructure (Jina Framework, Jina Embeddings, Reader API).</title>
      <link>https://sourcescore.org/claims/3cabd56c2d4ac308/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3cabd56c2d4ac308/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Jina AI founded in: 2020 by Han Xiao — open-source multimodal AI infrastructure (Jina Framework, Jina Embeddings, Reader API). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3cabd56c2d4ac308.json.</description>
      <category>jina-ai, han-xiao, multimodal, open-source, company-history, founded_in, 2020</category>
    </item>
    <item>
      <title>Brave Search API publicly released on: 2022-03-22 by Brave Software — independent search index API for AI grounding + privacy-focused search.</title>
      <link>https://sourcescore.org/claims/e40cdeb9b02f70a7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e40cdeb9b02f70a7/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Brave Search API publicly released on: 2022-03-22 by Brave Software — independent search index API for AI grounding + privacy-focused search. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e40cdeb9b02f70a7.json.</description>
      <category>brave-search-api, brave-software, search-api, ai-grounding, released_on, 2022</category>
    </item>
    <item>
      <title>Kagi Search founded in: 2018 by Vladimir Prelovac — paid private search engine + Kagi Assistant + Universal Summarizer (FastGPT).</title>
      <link>https://sourcescore.org/claims/9d06ec4336f79b7e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9d06ec4336f79b7e/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Kagi Search founded in: 2018 by Vladimir Prelovac — paid private search engine + Kagi Assistant + Universal Summarizer (FastGPT). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9d06ec4336f79b7e.json.</description>
      <category>kagi, prelovac, private-search, ad-free, company-history, founded_in, 2018</category>
    </item>
    <item>
      <title>OpenRouter founded in: 2023 by Alex Atallah — unified API gateway routing requests across 100+ LLM providers.</title>
      <link>https://sourcescore.org/claims/ab7b60b98d515ddc/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ab7b60b98d515ddc/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>OpenRouter founded in: 2023 by Alex Atallah — unified API gateway routing requests across 100+ LLM providers. Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ab7b60b98d515ddc.json.</description>
      <category>openrouter, atallah, llm-gateway, multi-provider, company-history, founded_in, 2023</category>
    </item>
    <item>
      <title>Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output.</title>
      <link>https://sourcescore.org/claims/f33bc9a6d1e921ad/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f33bc9a6d1e921ad/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Recraft founded in: 2022 by Anna Veronika Dorogush — text-to-image platform with brand-style consistency + vector + 3D output. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f33bc9a6d1e921ad.json.</description>
      <category>recraft, dorogush, text-to-image, design-tool, company-history, founded_in, 2022</category>
    </item>
    <item>
      <title>Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context.</title>
      <link>https://sourcescore.org/claims/57b435dfa168fdb1/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/57b435dfa168fdb1/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Google Gemini 2.5 Flash publicly released on: 2025-04-09 by Google DeepMind — Gemini 2.5 Flash with controllable thinking budget + 1M context. Verified 2026-05-16. Confidence 95%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/57b435dfa168fdb1.json.</description>
      <category>gemini-2-5-flash, google-deepmind, hybrid-reasoning, thinking-budget, released_on, 2025</category>
    </item>
    <item>
      <title>Anthropic ChatGPT Edu publicly released on: 2024-05-30 by OpenAI — ChatGPT Edu (university-focused tier with GPT-4o + admin controls).</title>
      <link>https://sourcescore.org/claims/d7d0239ba8bc0c75/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d7d0239ba8bc0c75/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic ChatGPT Edu publicly released on: 2024-05-30 by OpenAI — ChatGPT Edu (university-focused tier with GPT-4o + admin controls). Verified 2026-05-16. Confidence 100%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d7d0239ba8bc0c75.json.</description>
      <category>chatgpt-edu, openai, education, enterprise-tier, released_on, 2024</category>
    </item>
    <item>
      <title>Anthropic Claude Haiku 4.5 publicly released on: 2025-10-16 by Anthropic — fast tier Claude 4.5 family (text + vision + extended thinking).</title>
      <link>https://sourcescore.org/claims/b3cd9a0e18791267/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b3cd9a0e18791267/</guid>
      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>Anthropic Claude Haiku 4.5 publicly released on: 2025-10-16 by Anthropic — fast tier Claude 4.5 family (text + vision + extended thinking). Verified 2026-05-16. Confidence 85%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b3cd9a0e18791267.json.</description>
      <category>claude-haiku-4-5, anthropic, fast-tier, released_on, 2025</category>
    </item>
    <item>
      <title>Grouped-Query Attention (GQA) introduced in paper: GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints (Ainslie et al., 2023).</title>
      <link>https://sourcescore.org/claims/3e9122ba60a3fe99/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/3e9122ba60a3fe99/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>Grouped-Query Attention (GQA) introduced in paper: GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints (Ainslie et al., 2023). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/3e9122ba60a3fe99.json.</description>
      <category>gqa, grouped-query-attention, attention, transformer, inference, ainslie, 2023, emnlp</category>
    </item>
    <item>
      <title>Group Relative Policy Optimization (GRPO) introduced in paper: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024).</title>
      <link>https://sourcescore.org/claims/f73e50d63643df21/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f73e50d63643df21/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>Group Relative Policy Optimization (GRPO) introduced in paper: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f73e50d63643df21.json.</description>
      <category>grpo, group-relative-policy-optimization, deepseekmath, reinforcement-learning, rlhf, reasoning, shao, 2024, deepseek</category>
    </item>
    <item>
      <title>GPQA benchmark introduced in paper: GPQA: A Graduate-Level Google-Proof Q&amp;A Benchmark (Rein et al., 2023).</title>
      <link>https://sourcescore.org/claims/26f75f130f7b395a/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/26f75f130f7b395a/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>GPQA benchmark introduced in paper: GPQA: A Graduate-Level Google-Proof Q&amp;A Benchmark (Rein et al., 2023). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/26f75f130f7b395a.json.</description>
      <category>gpqa, benchmark, evaluation, graduate-level, google-proof, reasoning, rein, 2023</category>
    </item>
    <item>
      <title>GSM8K introduced in paper: Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021).</title>
      <link>https://sourcescore.org/claims/dc1ccb567aff584d/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/dc1ccb567aff584d/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>GSM8K introduced in paper: Training Verifiers to Solve Math Word Problems (Cobbe et al., 2021). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/dc1ccb567aff584d.json.</description>
      <category>gsm8k, benchmark, dataset, math, word-problems, reasoning, openai, cobbe, 2021</category>
    </item>
    <item>
      <title>MATH dataset introduced in paper: Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021).</title>
      <link>https://sourcescore.org/claims/8c1f847ae98570da/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8c1f847ae98570da/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>MATH dataset introduced in paper: Measuring Mathematical Problem Solving With the MATH Dataset (Hendrycks et al., 2021). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8c1f847ae98570da.json.</description>
      <category>math-dataset, benchmark, dataset, mathematics, competition, reasoning, hendrycks, 2021</category>
    </item>
    <item>
      <title>HellaSwag benchmark introduced in paper: HellaSwag: Can a Machine Really Finish Your Sentence? (Zellers et al., 2019).</title>
      <link>https://sourcescore.org/claims/b3f34e83dd0c53b9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b3f34e83dd0c53b9/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>HellaSwag benchmark introduced in paper: HellaSwag: Can a Machine Really Finish Your Sentence? (Zellers et al., 2019). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b3f34e83dd0c53b9.json.</description>
      <category>hellaswag, benchmark, evaluation, commonsense, nli, zellers, 2019</category>
    </item>
    <item>
      <title>TruthfulQA benchmark introduced in paper: TruthfulQA: Measuring How Models Mimic Human Falsehoods (Lin et al., 2021).</title>
      <link>https://sourcescore.org/claims/824f830889daf33e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/824f830889daf33e/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>TruthfulQA benchmark introduced in paper: TruthfulQA: Measuring How Models Mimic Human Falsehoods (Lin et al., 2021). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/824f830889daf33e.json.</description>
      <category>truthfulqa, benchmark, evaluation, truthfulness, hallucination, lin, 2021</category>
    </item>
    <item>
      <title>BIG-bench introduced in paper: Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (Srivastava et al., 2022).</title>
      <link>https://sourcescore.org/claims/bde28f6f7e14e0e9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bde28f6f7e14e0e9/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>BIG-bench introduced in paper: Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (Srivastava et al., 2022). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bde28f6f7e14e0e9.json.</description>
      <category>big-bench, bigbench, benchmark, evaluation, srivastava, 2022, google</category>
    </item>
    <item>
      <title>Odds Ratio Preference Optimization (ORPO) introduced in paper: ORPO: Monolithic Preference Optimization without Reference Model (Hong et al., 2024).</title>
      <link>https://sourcescore.org/claims/ff0975d391b66a6f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ff0975d391b66a6f/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>Odds Ratio Preference Optimization (ORPO) introduced in paper: ORPO: Monolithic Preference Optimization without Reference Model (Hong et al., 2024). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ff0975d391b66a6f.json.</description>
      <category>orpo, odds-ratio-preference-optimization, alignment, preference-optimization, rlhf, hong, 2024</category>
    </item>
    <item>
      <title>RMSNorm (Root Mean Square Layer Normalization) introduced in paper: Root Mean Square Layer Normalization (Zhang &amp; Sennrich, 2019).</title>
      <link>https://sourcescore.org/claims/c64636dc60b1216f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/c64636dc60b1216f/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>RMSNorm (Root Mean Square Layer Normalization) introduced in paper: Root Mean Square Layer Normalization (Zhang &amp; Sennrich, 2019). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/c64636dc60b1216f.json.</description>
      <category>rmsnorm, root-mean-square-layer-normalization, normalization, layernorm, architecture, zhang, 2019</category>
    </item>
    <item>
      <title>Kahneman-Tversky Optimization (KTO) introduced in paper: KTO: Model Alignment as Prospect Theoretic Optimization (Ethayarajh et al., 2024).</title>
      <link>https://sourcescore.org/claims/a4713632c335406b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/a4713632c335406b/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>Kahneman-Tversky Optimization (KTO) introduced in paper: KTO: Model Alignment as Prospect Theoretic Optimization (Ethayarajh et al., 2024). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/a4713632c335406b.json.</description>
      <category>kto, kahneman-tversky-optimization, alignment, preference-optimization, rlhf, ethayarajh, 2024</category>
    </item>
    <item>
      <title>Simple Preference Optimization (SimPO) introduced in paper: SimPO: Simple Preference Optimization with a Reference-Free Reward (Meng et al., 2024).</title>
      <link>https://sourcescore.org/claims/d47e9b204e1e73bd/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d47e9b204e1e73bd/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>Simple Preference Optimization (SimPO) introduced in paper: SimPO: Simple Preference Optimization with a Reference-Free Reward (Meng et al., 2024). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d47e9b204e1e73bd.json.</description>
      <category>simpo, simple-preference-optimization, alignment, preference-optimization, reference-free, meng, 2024</category>
    </item>
    <item>
      <title>MMLU-Pro benchmark introduced in paper: MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark (Wang et al., 2024).</title>
      <link>https://sourcescore.org/claims/2df92e0b0e4c891b/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/2df92e0b0e4c891b/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>MMLU-Pro benchmark introduced in paper: MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark (Wang et al., 2024). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/2df92e0b0e4c891b.json.</description>
      <category>mmlu-pro, benchmark, evaluation, reasoning, wang, 2024</category>
    </item>
    <item>
      <title>FlashAttention-2 introduced in paper: FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning (Dao, 2023).</title>
      <link>https://sourcescore.org/claims/786f534a9f79a3be/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/786f534a9f79a3be/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>FlashAttention-2 introduced in paper: FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning (Dao, 2023). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/786f534a9f79a3be.json.</description>
      <category>flashattention-2, flash-attention, attention, gpu, inference, dao, 2023</category>
    </item>
    <item>
      <title>LiveCodeBench introduced in paper: LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (Jain et al., 2024).</title>
      <link>https://sourcescore.org/claims/b474cbe11ab65d51/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b474cbe11ab65d51/</guid>
      <pubDate>Sun, 31 May 2026 00:00:00 GMT</pubDate>
      <description>LiveCodeBench introduced in paper: LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (Jain et al., 2024). Verified 2026-05-31. Confidence 92%. 3 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b474cbe11ab65d51.json.</description>
      <category>livecodebench, benchmark, evaluation, code, contamination-free, jain, 2024</category>
    </item>
    <item>
      <title>Additive (Bahdanau) attention introduced in paper: Neural Machine Translation by Jointly Learning to Align and Translate (Bahdanau et al., 2014).</title>
      <link>https://sourcescore.org/claims/bbf65d37f2df1971/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/bbf65d37f2df1971/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>Additive (Bahdanau) attention introduced in paper: Neural Machine Translation by Jointly Learning to Align and Translate (Bahdanau et al., 2014). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/bbf65d37f2df1971.json.</description>
      <category>attention, bahdanau, alignment, neural-machine-translation, seq2seq, foundational, 2014</category>
    </item>
    <item>
      <title>GELU (Gaussian Error Linear Unit) introduced in paper: Gaussian Error Linear Units (GELUs) (Hendrycks &amp; Gimpel, 2016).</title>
      <link>https://sourcescore.org/claims/fbd32ca73f2746c9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/fbd32ca73f2746c9/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>GELU (Gaussian Error Linear Unit) introduced in paper: Gaussian Error Linear Units (GELUs) (Hendrycks &amp; Gimpel, 2016). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/fbd32ca73f2746c9.json.</description>
      <category>gelu, activation-function, hendrycks, gimpel, foundational, transformers, 2016</category>
    </item>
    <item>
      <title>Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014).</title>
      <link>https://sourcescore.org/claims/139236c659c84aef/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/139236c659c84aef/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/139236c659c84aef.json.</description>
      <category>neural-turing-machine, memory-augmented, graves, deepmind, foundational, 2014</category>
    </item>
    <item>
      <title>Pointer Networks introduced in paper: Pointer Networks (Vinyals et al., 2015).</title>
      <link>https://sourcescore.org/claims/42bcab03ff502de2/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/42bcab03ff502de2/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>Pointer Networks introduced in paper: Pointer Networks (Vinyals et al., 2015). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/42bcab03ff502de2.json.</description>
      <category>pointer-networks, attention, seq2seq, vinyals, foundational, 2015</category>
    </item>
    <item>
      <title>Deep Q-Network (DQN) introduced in paper: Playing Atari with Deep Reinforcement Learning (Mnih et al., 2013).</title>
      <link>https://sourcescore.org/claims/8927d20ad0b3849f/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/8927d20ad0b3849f/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>Deep Q-Network (DQN) introduced in paper: Playing Atari with Deep Reinforcement Learning (Mnih et al., 2013). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/8927d20ad0b3849f.json.</description>
      <category>dqn, deep-reinforcement-learning, q-learning, atari, mnih, deepmind, foundational, 2013</category>
    </item>
    <item>
      <title>Show and Tell (Neural Image Caption Generator) introduced in paper: Show and Tell: A Neural Image Caption Generator (Vinyals et al., 2014).</title>
      <link>https://sourcescore.org/claims/47f58a443dd825ac/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/47f58a443dd825ac/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>Show and Tell (Neural Image Caption Generator) introduced in paper: Show and Tell: A Neural Image Caption Generator (Vinyals et al., 2014). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/47f58a443dd825ac.json.</description>
      <category>show-and-tell, image-captioning, vision-language, vinyals, foundational, 2014</category>
    </item>
    <item>
      <title>VGG (Very Deep Convolutional Networks) introduced in paper: Very Deep Convolutional Networks for Large-Scale Image Recognition (Simonyan &amp; Zisserman, 2014).</title>
      <link>https://sourcescore.org/claims/9589ca28801022c9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9589ca28801022c9/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>VGG (Very Deep Convolutional Networks) introduced in paper: Very Deep Convolutional Networks for Large-Scale Image Recognition (Simonyan &amp; Zisserman, 2014). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9589ca28801022c9.json.</description>
      <category>vgg, convolutional-network, image-recognition, simonyan, zisserman, foundational, 2014</category>
    </item>
    <item>
      <title>Highway Networks introduced in paper: Highway Networks (Srivastava, Greff, Schmidhuber, 2015).</title>
      <link>https://sourcescore.org/claims/df48aed8d0d51851/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/df48aed8d0d51851/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>Highway Networks introduced in paper: Highway Networks (Srivastava, Greff, Schmidhuber, 2015). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/df48aed8d0d51851.json.</description>
      <category>highway-networks, gating, very-deep-networks, srivastava, schmidhuber, foundational, 2015</category>
    </item>
    <item>
      <title>GoogLeNet (Inception) introduced in paper: Going Deeper with Convolutions (Szegedy et al., 2014).</title>
      <link>https://sourcescore.org/claims/d3fb1fa51c64ed09/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d3fb1fa51c64ed09/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>GoogLeNet (Inception) introduced in paper: Going Deeper with Convolutions (Szegedy et al., 2014). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.json.</description>
      <category>googlenet, inception, convolutional-network, imagenet, ilsvrc-2014, szegedy, foundational, 2014</category>
    </item>
    <item>
      <title>YOLO (You Only Look Once) introduced in paper: You Only Look Once: Unified, Real-Time Object Detection (Redmon et al., 2015).</title>
      <link>https://sourcescore.org/claims/ac850ae963368396/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/ac850ae963368396/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>YOLO (You Only Look Once) introduced in paper: You Only Look Once: Unified, Real-Time Object Detection (Redmon et al., 2015). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/ac850ae963368396.json.</description>
      <category>yolo, object-detection, real-time, redmon, girshick, foundational, 2015</category>
    </item>
    <item>
      <title>WaveNet introduced in paper: WaveNet: A Generative Model for Raw Audio (van den Oord et al., 2016).</title>
      <link>https://sourcescore.org/claims/9b21377fcab5dd64/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9b21377fcab5dd64/</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <description>WaveNet introduced in paper: WaveNet: A Generative Model for Raw Audio (van den Oord et al., 2016). Verified 2026-06-01. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9b21377fcab5dd64.json.</description>
      <category>wavenet, audio-generation, dilated-convolutions, deepmind, van-den-oord, foundational, 2016</category>
    </item>
    <item>
      <title>DenseNet (Densely Connected Convolutional Networks) introduced in paper: Densely Connected Convolutional Networks (Huang et al., 2016).</title>
      <link>https://sourcescore.org/claims/b93bddc35c1a22a6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/b93bddc35c1a22a6/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>DenseNet (Densely Connected Convolutional Networks) introduced in paper: Densely Connected Convolutional Networks (Huang et al., 2016). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/b93bddc35c1a22a6.json.</description>
      <category>densenet, convolutional-network, feature-reuse, huang, weinberger, foundational, 2016</category>
    </item>
    <item>
      <title>Faster R-CNN introduced in paper: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Ren et al., 2015).</title>
      <link>https://sourcescore.org/claims/9e2b45736210b8a4/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/9e2b45736210b8a4/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>Faster R-CNN introduced in paper: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Ren et al., 2015). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/9e2b45736210b8a4.json.</description>
      <category>faster-rcnn, object-detection, region-proposal-network, rpn, ren, girshick, foundational, 2015</category>
    </item>
    <item>
      <title>Mask R-CNN introduced in paper: Mask R-CNN (He et al., 2017).</title>
      <link>https://sourcescore.org/claims/927b56032c69c6e5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/927b56032c69c6e5/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>Mask R-CNN introduced in paper: Mask R-CNN (He et al., 2017). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/927b56032c69c6e5.json.</description>
      <category>mask-rcnn, instance-segmentation, object-detection, he, girshick, foundational, 2017</category>
    </item>
    <item>
      <title>ALBERT introduced in paper: ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (Lan et al., 2019).</title>
      <link>https://sourcescore.org/claims/7c050ea8dac8797e/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7c050ea8dac8797e/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>ALBERT introduced in paper: ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (Lan et al., 2019). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7c050ea8dac8797e.json.</description>
      <category>albert, bert, language-model, parameter-reduction, lan, google, foundational, 2019</category>
    </item>
    <item>
      <title>Adadelta introduced in paper: ADADELTA: An Adaptive Learning Rate Method (Zeiler, 2012).</title>
      <link>https://sourcescore.org/claims/f777d78b0ddbdaec/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/f777d78b0ddbdaec/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>Adadelta introduced in paper: ADADELTA: An Adaptive Learning Rate Method (Zeiler, 2012). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/f777d78b0ddbdaec.json.</description>
      <category>adadelta, optimizer, adaptive-learning-rate, gradient-descent, zeiler, foundational, 2012</category>
    </item>
    <item>
      <title>Maxout introduced in paper: Maxout Networks (Goodfellow et al., 2013).</title>
      <link>https://sourcescore.org/claims/5d5408d170cebe41/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5d5408d170cebe41/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>Maxout introduced in paper: Maxout Networks (Goodfellow et al., 2013). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5d5408d170cebe41.json.</description>
      <category>maxout, activation-function, dropout, goodfellow, bengio, foundational, 2013</category>
    </item>
    <item>
      <title>PixelRNN introduced in paper: Pixel Recurrent Neural Networks (van den Oord et al., 2016).</title>
      <link>https://sourcescore.org/claims/e19ab9089aadf1f5/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/e19ab9089aadf1f5/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>PixelRNN introduced in paper: Pixel Recurrent Neural Networks (van den Oord et al., 2016). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/e19ab9089aadf1f5.json.</description>
      <category>pixelrnn, autoregressive, image-generation, generative-model, van-den-oord, deepmind, foundational, 2016</category>
    </item>
    <item>
      <title>Capsule Networks introduced in paper: Dynamic Routing Between Capsules (Sabour et al., 2017).</title>
      <link>https://sourcescore.org/claims/85830e585d195157/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/85830e585d195157/</guid>
      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>Capsule Networks introduced in paper: Dynamic Routing Between Capsules (Sabour et al., 2017). Verified 2026-06-02. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/85830e585d195157.json.</description>
      <category>capsule-networks, capsnet, dynamic-routing, sabour, hinton, foundational, 2017</category>
    </item>
    <item>
      <title>XLNet introduced in paper: XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al., 2019).</title>
      <link>https://sourcescore.org/claims/d8983079997f21c6/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/d8983079997f21c6/</guid>
      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
      <description>XLNet introduced in paper: XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al., 2019). Verified 2026-06-19. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/d8983079997f21c6.json.</description>
      <category>xlnet, generalized-autoregressive-pretraining, permutation-language-modeling, bidirectional-context, nlp, pretraining, 2019</category>
    </item>
    <item>
      <title>BigBird introduced in paper: Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020).</title>
      <link>https://sourcescore.org/claims/1783cda1b5f622e7/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/1783cda1b5f622e7/</guid>
      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
      <description>BigBird introduced in paper: Big Bird: Transformers for Longer Sequences (Zaheer et al., 2020). Verified 2026-06-19. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/1783cda1b5f622e7.json.</description>
      <category>bigbird, big-bird, sparse-attention, long-sequences, transformers, nlp, 2020</category>
    </item>
    <item>
      <title>DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020).</title>
      <link>https://sourcescore.org/claims/7cbe7b535b211862/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/7cbe7b535b211862/</guid>
      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
      <description>DeBERTa introduced in paper: DeBERTa: Decoding-enhanced BERT with Disentangled Attention (He et al., 2020). Verified 2026-06-19. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/7cbe7b535b211862.json.</description>
      <category>deberta, disentangled-attention, enhanced-mask-decoder, bert, roberta, nlp, 2020</category>
    </item>
    <item>
      <title>Megatron-LM introduced in paper: Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism (Shoeybi et al., 2019).</title>
      <link>https://sourcescore.org/claims/5739ea06ced93de9/</link>
      <guid isPermaLink="true">https://sourcescore.org/claims/5739ea06ced93de9/</guid>
      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
      <description>Megatron-LM introduced in paper: Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism (Shoeybi et al., 2019). Verified 2026-06-19. Confidence 82%. 2 primary sources. HMAC-SHA256 signed envelope at https://sourcescore.org/api/v1/claims/5739ea06ced93de9.json.</description>
      <category>megatron-lm, model-parallelism, intra-layer-parallelism, large-language-models, distributed-training, 2019</category>
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