Verified claim · AI-ML · 100% confidence
ReAct (Reasoning + Acting) introduced in paper: ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · fceea64fa7d04d3a
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Structured fields
- Subject
- ReAct (Reasoning + Acting)
- Predicate
introduced_in_paper- Object
- ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022)
- Confidence
- 100%
- Tags
- react · reasoning · agents · tool-use · foundational · 2022 · yao
Sources (2)
[1] preprint · arXiv (Yao, Zhao, Yu, Du, Shafran, Narasimhan, Cao) · 2022-10-06
ReAct: Synergizing Reasoning and Acting in Language Models“We propose ReAct, a general paradigm that combines reasoning and acting with language models for solving diverse language reasoning and decision making tasks.”
[2] official blog · Princeton NLP · 2022-10-06
ReAct project page
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ReAct (Reasoning + Acting) introduced in paper: ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022). — SourceScore Claim fceea64fa7d04d3a (verified 2026-05-16). https://sourcescore.org/api/v1/claims/fceea64fa7d04d3a.jsonEmbed this claim
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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 (Yao, Zhao, Yu, Du, Shafran, Narasimhan, Cao), Princeton NLP. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/fceea64fa7d04d3a.json includes an HMAC-SHA256 signature for audit verification.
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Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
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curl https://sourcescore.org/api/v1/claims/fceea64fa7d04d3a.jsonJavaScript / TypeScript
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// "ReAct (Reasoning + Acting) introduced in paper: ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/fceea64fa7d04d3a.json")
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print(envelope["claim"]["statement"])
# "ReAct (Reasoning + Acting) introduced in paper: ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_react_reasoning_acting_fact() -> dict:
"""Fetch the verified SourceScore claim for ReAct (Reasoning + Acting)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/fceea64fa7d04d3a.json")
return r.json()