Reflexive Epistemic Fabric

This document describes a technical framework for modelling an autonomous system’s internal assumptions and dependencies as a runtime graph, enabling structural monitoring of reasoning integrity rather than output-only validation. It outlines how graph-based signals such as connectivity, topological complexity, contradiction patterns, temporal decay, and assumption criticality can be used to support deterministic safety responses, auditability, and evidentiary logging in safety-critical AI environments. The note is intended as a conceptual and architectural disclosure of the approach and its operational rationale, without exposing implementation-sensitive detail beyond what is necessary to explain the method.