R0054/2026-03-31/C001/SRC02

Research	R0054 — Prompt Claims v2
Run	2026-03-31
Claim	C001
Search	S02
Result	S02-R01
Source	SRC02

AI-Researcher framework — NeurIPS 2025 Spotlight paper on autonomous scientific research.

Source

Field	Value
Title	AI-Researcher: Autonomous Scientific Innovation
Publisher	NeurIPS 2025 / GitHub
Author(s)	HKUDS research group
Date	2025-03-04
URL	https://github.com/HKUDS/AI-Researcher
Type	Research paper + open-source framework

Summary

Dimension	Rating
Reliability	High
Relevance	Medium
Bias: Missing data	Low risk
Bias: Measurement	Low risk
Bias: Selective reporting	Low risk
Bias: Randomization	N/A -- not an RCT
Bias: Protocol deviation	N/A -- not an RCT
Bias: COI/Funding	Low risk

Rationale

Dimension	Rationale
Reliability	Peer-reviewed at a top ML venue (NeurIPS 2025 Spotlight). High academic credibility.
Relevance	Medium — it demonstrates that analytical AI research frameworks exist, but it does not implement ICD 203 specifically. Different approach (autonomous paper writing vs. intelligence analysis).
Bias flags	No significant bias concerns. Academic publication with standard peer review.

Evidence Extracts

Evidence ID	Summary
SRC02-E01	AI-Researcher implements hierarchical evaluation across novelty, experimental comprehensiveness, and other dimensions