Verified claim · AI-ML · 100% confidence
Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 30fdfa95f8684ca5
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Structured fields
- Subject
- Imagen
- Predicate
introduced_in_paper- Object
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)
- Confidence
- 100%
- Tags
- imagen · google · text-to-image · diffusion · foundational · 2022
Sources (2)
[1] preprint · arXiv (Saharia, Chan, Saxena, Li, Whang, Denton, et al. / Google Brain) · 2022-05-23
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding“We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.”
[2] official blog · Google Research · 2022-05-23
Imagen — official site
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Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022). — SourceScore Claim 30fdfa95f8684ca5 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.jsonEmbed this claim
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Frequently asked questions
Is the claim "Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)."?
Evidence comes from 2 primary sources: arXiv (Saharia, Chan, Saxena, Li, Whang, Denton, et al. / Google Brain), Google Research. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
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Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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cURL
curl https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json");
const envelope = await r.json();
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// "Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Imagen introduced in paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Saharia et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_imagen_fact() -> dict:
"""Fetch the verified SourceScore claim for Imagen."""
r = httpx.get("https://sourcescore.org/api/v1/claims/30fdfa95f8684ca5.json")
return r.json()