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FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced FactReview, an audit framework using LLMs to extract, cross-reference, and execute code to verify technical claims.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 22 October 2026
- Collected by OneBench
- 18 Aug 2026, 15:11 UK
Stored source excerpt
arXiv:2604.04074v4 Announce Type: replace-cross Abstract: Large language model (LLM)-based reviewing systems typically assess manuscripts in isolation, leaving literature- and code-dependent claims difficult to verify. We…
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The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.