SOURCE-LINKED INTELLIGENCE
Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search
Language model agents increasingly propose actions, observe external feedback, and explain their own behavior. Their confidence and rationales are convenient monitoring signals, but convenience is not verification. We introduce an environment-grounded audit in which every intermediate proposal receives an exact outcome. A language model operates an evolutionary Contexto search whose feedback function assigns every valid guess an exact rank without human annotation. Across 200 runs spanning five configurations and three model families, four reporting configurations produce 12,249 self-reports.
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T03:28:37.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.