Verified claim · AI-ML · 100% confidence
Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017).
Last verified 2026-05-16 · Methodology veritas-v0.1 · ad17e76a8baad7a1
Structured fields
- Subject
- Transformer architecture
- Predicate
introduced_in_paper- Object
- Attention Is All You Need (Vaswani et al., 2017)
- Confidence
- 100%
- Tags
- transformer · attention · foundational · vaswani · 2017 · nips
Sources (3)
[1] preprint · arXiv (Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin) · 2017-06-12
Attention Is All You Need“We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.”
[2] peer reviewed · NeurIPS Foundation · 2017-12-04
Attention Is All You Need (NeurIPS 2017 proceedings)[3] official blog · Google Research · 2017-06-12
Attention Is All You Need (Google Research publication index)
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curl https://sourcescore.org/api/v1/claims/ad17e76a8baad7a1.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/ad17e76a8baad7a1.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/ad17e76a8baad7a1.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_transformer_architecture_fact() -> dict:
"""Fetch the verified SourceScore claim for Transformer architecture."""
r = httpx.get("https://sourcescore.org/api/v1/claims/ad17e76a8baad7a1.json")
return r.json()