A Unified Framework for Unified Field Theory of Information Dynamics Constraint-First Dynamics and Deterministic Recovery

This paper presents a consolidated formulation of Unified Field Theory of Information Dynamics (UFT-ID) as a constraint-first architectural framework for stable informational systems. The central claim is that informational state spaces are generically overcomplete, while predictability arises from geometric admissibility constraints that define a privileged subspace of legal states. Deviations from this admissible subspace are detectable, accumulate a quadratic tension functional, and-upon crossing a critical threshold-trigger deterministic recovery via lexicographic projection. The framework formalizes structural principles shared across classical mechanics, quantum error correction, lattice systems, and discrete computation, without asserting physical unification. UFT-ID is positioned as an architectural language for constraint-governed dynamics, complementary to learning-based, probabilistic, and agent-centric models, which typically assume but do not explicitly formalize invariant enforcement.