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
SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.
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] docs · Wikipedia · 2018-12-07
PyTorchWikipedia is rated by SourceScore — see its reliability →[2] github release · Facebook AI Research · 2017-01-18
PyTorch v0.1.1 — first tagged release
Cite this claim
Ready-to-paste citation (Markdown / plain text):
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
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.
<iframe src="https://sourcescore.org/embed/claim/76c83fea654bb445/" width="100%" height="360" frameborder="0" loading="lazy" title="PyTorch publicly released on: 2017-01-18 by Facebook AI Research."></iframe>Preview: open in new tab
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Frequently asked questions
Is the claim "PyTorch publicly released on: 2017-01-18 by Facebook AI Research." 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 "PyTorch publicly released on: 2017-01-18 by Facebook AI Research."?
Evidence comes from 2 primary sources: Wikipedia, Facebook AI Research. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/76c83fea654bb445.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/76c83fea654bb445.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/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()