Verified claim · AI-ML · 100% confidence
Chain-of-Thought prompting introduced in paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 3af924da138ff84c
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Structured fields
- Subject
- Chain-of-Thought prompting
- Predicate
introduced_in_paper- Object
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)
- Confidence
- 100%
- Tags
- chain-of-thought · cot · prompting · foundational · wei · 2022 · google · nips
Sources (2)
[1] preprint · arXiv (Wei, Wang, Schuurmans, Bosma, Ichter, Xia, Chi, Le, Zhou) · 2022-01-28
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models“We explore how generating a chain of thought — a series of intermediate reasoning steps — significantly improves the ability of large language models to perform complex reasoning.”
[2] peer reviewed · NeurIPS Foundation · 2022-12-06
Chain-of-Thought Prompting (NeurIPS 2022)
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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.
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Evidence comes from 2 primary sources: arXiv (Wei, Wang, Schuurmans, Bosma, Ichter, Xia, Chi, Le, Zhou), NeurIPS Foundation. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/3af924da138ff84c.json includes an HMAC-SHA256 signature for audit verification.
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// "Chain-of-Thought prompting introduced in paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/3af924da138ff84c.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Chain-of-Thought prompting introduced in paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_chain_of_thought_prompting_fact() -> dict:
"""Fetch the verified SourceScore claim for Chain-of-Thought prompting."""
r = httpx.get("https://sourcescore.org/api/v1/claims/3af924da138ff84c.json")
return r.json()