Verified claim · AI-ML · 100% confidence
Longformer introduced in paper: Longformer: The Long-Document Transformer (Beltagy, Peters, Cohan, 2020).
Last verified 2026-05-16 · Methodology veritas-v0.1 · c3d2ec81d9faf837
Structured fields
- Subject
- Longformer
- Predicate
introduced_in_paper- Object
- Longformer: The Long-Document Transformer (Beltagy, Peters, Cohan, 2020)
- Confidence
- 100%
- Tags
- longformer · long-context · sparse-attention · foundational · 2020 · allen-ai
Sources (2)
[1] preprint · arXiv (Beltagy, Peters, Cohan / Allen AI) · 2020-04-10
Longformer: The Long-Document Transformer“We introduce the Longformer with an attention mechanism that scales linearly with sequence length, making it easy to process documents of thousands of tokens or longer.”
[2] github release · Allen Institute for AI · 2020-04-10
allenai/longformer — official implementation
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curl https://sourcescore.org/api/v1/claims/c3d2ec81d9faf837.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/c3d2ec81d9faf837.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Longformer introduced in paper: Longformer: The Long-Document Transformer (Beltagy, Peters, Cohan, 2020)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/c3d2ec81d9faf837.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Longformer introduced in paper: Longformer: The Long-Document Transformer (Beltagy, Peters, Cohan, 2020)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_longformer_fact() -> dict:
"""Fetch the verified SourceScore claim for Longformer."""
r = httpx.get("https://sourcescore.org/api/v1/claims/c3d2ec81d9faf837.json")
return r.json()