Coherence-Driven State Reconstruction (CDSR)

Abstract

This paper proposes Coherence-Driven State Reconstruction (CDSR), an architectural pattern in which systems preserve canonical coherence constraints rather than exhaustive historical state. System state is reconstructed from admissible constraints, governed events, and constitutional invariants instead of relying solely on accumulated storage. The proposed architecture is inspired by reconstructive properties observed in biological cognition but is presented as an engineering model for adaptive information systems. It complements deterministic governance architectures by reducing state complexity while preserving operational continuity.