Structural Inhibition of Hallucination in Large Language Models via Axiomatic Constraint Protocol (ACP):From Probabilistic Generation to Deterministic Understanding

This paper proposes an axiomatic constraint framework for LLM reasoning, introducing protocols for logical consistency, internal time, and semantic control. It discusses safety failure modes (e.g., hallucination) and outlines mechanisms for controlled reasoning and multi-agent coordination based on inhibition/withholding states rather than output sharing.