Logic Lock Protocol (LLP): A Normative Framework for Structural Logical Integrity in AI Systems

This collection introduces the Logic Lock Protocol (LLP), an experimental normative framework designed to specify requirements for detecting and containing logical contradictions within artificial intelligence inference processes. LLP addresses structural logical integrity—a category of control distinct from, and complementary to, existing semantic safety measures such as alignment or content moderation. The protocol provides a coherence-first specification to mitigate the risks of "logical explosion" in automated reasoning systems. The repository contains three core documents:1. Core Specification v1.1: Sets forth the normative behavioral requirements and defines the "Lock State" fail-safe semantics for conformant systems.2. Scenario-Based Validation Framework: Establishes a model-agnostic methodology for auditing conformance through observable behavior (Scenario-1: Contradiction Ingestion).3. Preliminary Validation Study: A proof-of-concept study documenting observable signals of coherence degradation in production Large Language Models (LLMs) predicted by the framework. STATUS: Experimental Preprint / Working Document. Published to solicit academic and industrial feedback, enable external replication, and establish a foundation for future formal standardization (IETF/ISO tracks). LLP is a specification of requirements; it is not a reference implementation or a finished software product.