UFT-ID 2.0: Constraint-First Information Dynamics and Deterministic Recovery

This preprint introduces Unified Field Theory of Information Dynamics (UFT-ID) 2.0, a constraint-first framework for modeling informational evolution across discrete substrates. The theory formalizes information dynamics as motion within an overcomplete state space constrained by a geometrically defined admissible subspace. Deviations from admissibility are treated as detectable violations that accumulate a quadratic tension functional and, upon crossing critical thresholds, trigger deterministic recovery via lexicographic state selection. The framework draws a structural analogy to quantum error correction (QEC), interpreting admissible states as a code space, violations as syndromes, and recovery as a deterministic projection operator. Unlike learning-based, probabilistic, or agent-centric models, UFT-ID locates predictability at the level of invariant enforcement rather than optimization or inference. This work does not claim to unify physical forces, replace quantum mechanics, or propose new particles or empirical predictions. Its scope is architectural and theoretical: to provide a unifying language for constraint-governed information dynamics applicable to computational, physical, and informational systems.