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Tanya Sah

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#artificial intelligence Preprint Aug 2026

EvoUndo: Recoverability-Constrained Self-Evolution for LLM Agent Harnesses

The results indicate that reliable agent self-evolution requires co-designing verification, state grounding, witness semantics, and recovery-language expressivity rather than relying on iterative prompting alone.

Tanmay Sah, Dolly Sah, Harshul Jain et al. · 0 citations