In-Context Virtual Machine: Thermodynamic Entropy Bounds and Deterministic State Orchestration in Transformer-Based Autonomous Agents
Autonomous agents built upon large language models (LLMs) frequently suffer from state drift, cumulative hallucination, and non-deterministic divergence across multi-turn reasoning and execution horizons. In this work, we formalize this failure mode from a statistical physics and information-theoretic perspective as th...