Verified claim · AI-ML · 100% confidence
PyTorch publicly released on: 2017-01-18 by Facebook AI Research.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 76c83fea654bb445
Structured fields
- Subject
- PyTorch
- Predicate
publicly_released_on- Object
- 2017-01-18 by Facebook AI Research
- Confidence
- 100%
- Tags
- pytorch · facebook-ai · meta · framework · open-source · released_on · 2017
Sources (2)
[1] official blog · PyTorch Foundation · 2018-12-07
PyTorch 1.0 — official release announcement“PyTorch is the leading open-source machine learning framework, designed for fast experimentation and seamless deployment.”
[2] github release · Facebook AI Research · 2017-01-18
PyTorch v0.1.1 — first tagged release
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PyTorch publicly released on: 2017-01-18 by Facebook AI Research. — SourceScore Claim 76c83fea654bb445 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/76c83fea654bb445.jsonEmbed this claim
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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/76c83fea654bb445.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/76c83fea654bb445.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "PyTorch publicly released on: 2017-01-18 by Facebook AI Research."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/76c83fea654bb445.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "PyTorch publicly released on: 2017-01-18 by Facebook AI Research."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_pytorch_fact() -> dict:
"""Fetch the verified SourceScore claim for PyTorch."""
r = httpx.get("https://sourcescore.org/api/v1/claims/76c83fea654bb445.json")
return r.json()