DES V4.3 — Reality Compression Convergence Engine: A Unified Framework for Probabilistic Economic Model Integration and Structural Distillation

DES V4.3 presents a convergence-based methodological framework for constructing a unified representation of economic reality through probabilistic model compression. The system integrates multiple synthetic economic environments into a single evolving model by weighting each environment according to its empirical alignment with observed data. Rather than selecting among competing models, the framework continuously aggregates and distills structural signals, identifying relationships that persist across conditions while removing redundant or unstable components. The methodology incorporates dynamic reweighting, structural classification, redundancy elimination, and feedback-controlled stabilization to maintain coherence over time. The resulting architecture consists of a core structural layer representing regime-independent relationships, complemented by adaptive regime modifiers and response mechanisms. Through iterative refinement, the model converges toward a compact, interpretable representation of economic dynamics that generalizes across varying market conditions. This work contributes a formalized approach to probabilistic model integration, emphasizing structural persistence, dimensionality reduction, and continuous convergence as core principles for economic system representation.