SourceScore

Verified claim · AI-ML · 100% confidence

Stable LM publicly released on: 2023-04-19 by Stability AI.

Last verified 2026-05-16 · Methodology veritas-v0.1 · bc0482b2746e1496

Structured fields

Subject
Stable LM
Predicate
publicly_released_on
Object
2023-04-19 by Stability AI
Confidence
100%
Tags
stable-lm · stability-ai · open-weights · released_on · 2023

Sources (2)

  1. [1] official blog · Stability AI · 2023-04-19

    Stability AI launches the first of its StableLM suite of language models
    Today, Stability AI released a new open-source language model, StableLM. The Alpha version of the model is available in 3 billion and 7 billion parameters, with 15 billion to 65 billion parameter models to follow.
  2. [2] github release · Stability AI · 2023-04-19

    StableLM — official Stability AI repository

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Stable LM publicly released on: 2023-04-19 by Stability AI. — SourceScore Claim bc0482b2746e1496 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/bc0482b2746e1496.json

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Frequently asked questions

Is the claim "Stable LM publicly released on: 2023-04-19 by Stability AI." 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 "Stable LM publicly released on: 2023-04-19 by Stability AI."?

Evidence comes from 2 primary sources: Stability AI, Stability AI. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/bc0482b2746e1496.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/bc0482b2746e1496.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

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JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/bc0482b2746e1496.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Stable LM publicly released on: 2023-04-19 by Stability AI."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/bc0482b2746e1496.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Stable LM publicly released on: 2023-04-19 by Stability AI."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_stable_lm_fact() -> dict: """Fetch the verified SourceScore claim for Stable LM.""" r = httpx.get("https://sourcescore.org/api/v1/claims/bc0482b2746e1496.json") return r.json()