Verified claim · AI-ML · 100% confidence
Whisper large-v3 publicly released on: 2023-11-06 by OpenAI.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 4b70646f48b9a736
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Structured fields
- Subject
- Whisper large-v3
- Predicate
publicly_released_on- Object
- 2023-11-06 by OpenAI
- Confidence
- 100%
- Tags
- whisper · whisper-large-v3 · openai · speech-recognition · released_on · 2023
Sources (2)
[1] github release · OpenAI · 2023-11-06
Whisper large-v3 — release announcement“Today we're releasing Whisper large-v3. The model architecture remains identical to large-v2, with two minor differences: a new input scaling adjustment, and the model is trained on 1M hours of weakly labeled audio + 4M hours of pseudolabeled audio collected using large-v2.”
OpenAI is rated by SourceScore — see its reliability →[2] model card · OpenAI · 2023-11-06
Whisper large-v3 — Hugging Face model cardOpenAI is rated by SourceScore — see its reliability →
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Whisper large-v3 publicly released on: 2023-11-06 by OpenAI. — SourceScore Claim 4b70646f48b9a736 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/4b70646f48b9a736.jsonEmbed this claim
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Frequently asked questions
Is the claim "Whisper large-v3 publicly released on: 2023-11-06 by OpenAI." 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 "Whisper large-v3 publicly released on: 2023-11-06 by OpenAI."?
Evidence comes from 2 primary sources: OpenAI, OpenAI. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/4b70646f48b9a736.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.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/4b70646f48b9a736.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.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/4b70646f48b9a736.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/4b70646f48b9a736.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Whisper large-v3 publicly released on: 2023-11-06 by OpenAI."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/4b70646f48b9a736.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Whisper large-v3 publicly released on: 2023-11-06 by OpenAI."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_whisper_large_v3_fact() -> dict:
"""Fetch the verified SourceScore claim for Whisper large-v3."""
r = httpx.get("https://sourcescore.org/api/v1/claims/4b70646f48b9a736.json")
return r.json()