Verified claim · AI-ML · 100% confidence
Phi-4 released on: 2024-12-12 by Microsoft Research.
Last verified 2026-05-16 · Methodology veritas-v0.1 · f75020a0604daad7
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Structured fields
- Subject
- Phi-4
- Predicate
released_on- Object
- 2024-12-12 by Microsoft Research
- Confidence
- 100%
- Tags
- phi-4 · microsoft · synthetic-data · small-language-model · 2024 · released_on
Sources (2)
[1] preprint · arXiv (Abdin, Aneja, Behl, Bubeck, et al. / Microsoft Research) · 2024-12-12
Phi-4 Technical Report“We present phi-4, a 14-billion parameter language model developed with a training recipe that is centrally focused on data quality. Unlike most language models, where pre-training is based primarily on organic data sources such as web content or code, phi-4 strategically incorporates synthetic data throughout the training process.”
[2] model card · Microsoft Research · 2024-12-12
Phi-4 — Hugging Face model card
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Phi-4 released on: 2024-12-12 by Microsoft Research. — SourceScore Claim f75020a0604daad7 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/f75020a0604daad7.jsonEmbed this claim
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Frequently asked questions
Is the claim "Phi-4 released on: 2024-12-12 by Microsoft 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 "Phi-4 released on: 2024-12-12 by Microsoft Research."?
Evidence comes from 2 primary sources: arXiv (Abdin, Aneja, Behl, Bubeck, et al. / Microsoft Research), Microsoft Research. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/f75020a0604daad7.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?
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cURL
curl https://sourcescore.org/api/v1/claims/f75020a0604daad7.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/f75020a0604daad7.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Phi-4 released on: 2024-12-12 by Microsoft Research."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/f75020a0604daad7.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Phi-4 released on: 2024-12-12 by Microsoft Research."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_phi_4_fact() -> dict:
"""Fetch the verified SourceScore claim for Phi-4."""
r = httpx.get("https://sourcescore.org/api/v1/claims/f75020a0604daad7.json")
return r.json()