RESEARCHInvestigateNEXT 12 MONTHS
Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
An arXiv paper argues LLM agents cannot reliably determine when rule verification requires external human judgement at runtime.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 21 October 2026
- Collected by OneBench
- 22 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.04699v2 Announce Type: replace-cross Abstract: A verifier for an agent faces rules of two kinds: the ones a fixed check can settle and the ones…
Short excerpt from the collected text, not the full source. Use the source link to read it in context.
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.
OneBench interpretation
Institutional assessment
So what
LLM agents used in regulated workflows may fail to recognize when rules require human review, creating automated compliance leakage.
Do what
Review agentic workflow boundary checks with the team responsible for model risk management.