Verified claim · AI-ML · 100% confidence
Layer Normalization introduced in paper: Layer Normalization (Ba, Kiros, Hinton, 2016).
Last verified 2026-05-16 · Methodology veritas-v0.1 · f72db86c784a1b32
Structured fields
- Subject
- Layer Normalization
- Predicate
introduced_in_paper- Object
- Layer Normalization (Ba, Kiros, Hinton, 2016)
- Confidence
- 100%
- Tags
- layer-normalization · normalization · transformer-ingredient · foundational · 2016 · hinton
Sources (1)
[1] preprint · arXiv (Ba, Kiros, Hinton) · 2016-07-21
Layer Normalization“We transpose batch normalization into layer normalization by computing the mean and variance used for normalization from all of the summed inputs to the neurons in a layer on a single training case.”
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Layer Normalization introduced in paper: Layer Normalization (Ba, Kiros, Hinton, 2016). — SourceScore Claim f72db86c784a1b32 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/f72db86c784a1b32.jsonEmbed this claim
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curl https://sourcescore.org/api/v1/claims/f72db86c784a1b32.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/f72db86c784a1b32.json");
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// "Layer Normalization introduced in paper: Layer Normalization (Ba, Kiros, Hinton, 2016)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/f72db86c784a1b32.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Layer Normalization introduced in paper: Layer Normalization (Ba, Kiros, Hinton, 2016)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_layer_normalization_fact() -> dict:
"""Fetch the verified SourceScore claim for Layer Normalization."""
r = httpx.get("https://sourcescore.org/api/v1/claims/f72db86c784a1b32.json")
return r.json()