Verified claim · AI-ML · 82% confidence
GELU (Gaussian Error Linear Unit) introduced in paper: Gaussian Error Linear Units (GELUs) (Hendrycks & Gimpel, 2016).
Last verified 2026-06-01 · Methodology veritas-v0.1 · fbd32ca73f2746c9
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Structured fields
- Subject
- GELU (Gaussian Error Linear Unit)
- Predicate
introduced_in_paper- Object
- Gaussian Error Linear Units (GELUs) (Hendrycks & Gimpel, 2016)
- Confidence
- 82%
- Tags
- gelu · activation-function · hendrycks · gimpel · foundational · transformers · 2016
Sources (2)
[1] preprint · arXiv (Dan Hendrycks, Kevin Gimpel) · 2016-06-27
Gaussian Error Linear Units (GELUs)“We propose the Gaussian Error Linear Unit (GELU), a high-performing neural network activation function.”
[2] docs · Hugging Face
Gaussian Error Linear Units (GELUs) (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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GELU (Gaussian Error Linear Unit) introduced in paper: Gaussian Error Linear Units (GELUs) (Hendrycks & Gimpel, 2016). — SourceScore Claim fbd32ca73f2746c9 (verified 2026-06-01). https://sourcescore.org/api/v1/claims/fbd32ca73f2746c9.jsonEmbed this claim
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Frequently asked questions
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Yes — SourceScore verified this claim with 82% confidence as of 2026-06-01. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 2 primary sources: arXiv (Dan Hendrycks, Kevin Gimpel), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/fbd32ca73f2746c9.json includes an HMAC-SHA256 signature for audit verification.
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curl https://sourcescore.org/api/v1/claims/fbd32ca73f2746c9.jsonJavaScript / TypeScript
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// "GELU (Gaussian Error Linear Unit) introduced in paper: Gaussian Error Linear Units (GELUs) (Hendrycks & Gimpel, 2016)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/fbd32ca73f2746c9.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "GELU (Gaussian Error Linear Unit) introduced in paper: Gaussian Error Linear Units (GELUs) (Hendrycks & Gimpel, 2016)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_gelu_gaussian_error_linear_unit_fact() -> dict:
"""Fetch the verified SourceScore claim for GELU (Gaussian Error Linear Unit)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/fbd32ca73f2746c9.json")
return r.json()