Recursive Coherence: A Structural Framework for Model Viability Beyond Entropy and Paradox

This paper introduces a structural framework rooted in recursive coherence, designed to assess and generate models capable of surviving paradox, entropy, and systemic volatility. Traditional models are inherently fragile: snapshot representations that collapse under recursive pressure or complex feedback. In contrast, this framework operates as a substrate: a dynamic logic layer that enables the continuous evaluation and modulation of model viability. Built on five axioms (Persistence, Adaptive Trajectory, Information Value, Recursive Arbitration, and Structural Pruning) it embeds meta-regulators that allow systems to self-correct under stress. Rather than seeking truth through static form, the framework identifies what structural conditions allow any truth-claim to remain coherent over time. This enables even derivative or probabilistic systems, such as large language models, to be parsed and reinterpreted through coherence curvature rather than surface validity. Ultimately, this is not a new model of the world. It is a recursive engine that defines what makes models viable in any world.