Verified claim · AI-ML · 100% confidence
Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days).
Last verified 2026-05-16 · Methodology veritas-v0.1 · badcfc0b4bb997f1
Structured fields
- Subject
- Galactica
- Predicate
publicly_released_on- Object
- 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days)
- Confidence
- 100%
- Tags
- galactica · meta-ai · scientific-llm · released_on · withdrawn · 2022
Sources (2)
[1] preprint · arXiv (Taylor, Kardas, Cucurull, Scialom, Hartshorn, Saravia, Poulton, Kerkez, Stojnic / Meta AI) · 2022-11-16
Galactica: A Large Language Model for Science“Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone.”
[2] official blog · Meta AI (via Internet Archive) · 2022-11-15
Galactica official site (Internet Archive snapshot from launch)
Cite this claim
Ready-to-paste citation (Markdown / plain text):
Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days). — SourceScore Claim badcfc0b4bb997f1 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/badcfc0b4bb997f1.jsonEmbed this claim
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Frequently asked questions
Is the claim "Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days)." 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What is the evidence for "Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days)."?
Evidence comes from 2 primary sources: arXiv (Taylor, Kardas, Cucurull, Scialom, Hartshorn, Saravia, Poulton, Kerkez, Stojnic / Meta AI), Meta AI (via Internet Archive). Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/badcfc0b4bb997f1.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/badcfc0b4bb997f1.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/badcfc0b4bb997f1.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/badcfc0b4bb997f1.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/badcfc0b4bb997f1.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Galactica publicly released on: 2022-11-15 by Meta AI — scientific LLM (withdrawn after 3 days)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_galactica_fact() -> dict:
"""Fetch the verified SourceScore claim for Galactica."""
r = httpx.get("https://sourcescore.org/api/v1/claims/badcfc0b4bb997f1.json")
return r.json()