Cognitive Coherence Model (CCM V2 - Proposition Paper)

The Cognitive Coherence Model (CCM V2) addresses the scalability paradox of high-dimensional cognitive modeling by shifting the paradigm away from secondary/consequential metrics toward an autonomous framework of internal value generation and causal loops. By generating its own values and integrating them dynamically, the architecture closes by itself, eliminating the need for brute-force data scaling or external result-based validation. This Proposition Paper outlines the move toward a lean, self-contained cognitive loop that functions independent of brute-force data scaling, introducing the core concepts behind the structurally upgraded Input Pre-Evaluator, Tag Value Generation, and the Output Mapper. ***INTEGRATION NOTICE & ACCESS TO FULL ARCHITECTUREAs noted in Section 3, the implementation material and detailed logical maps remain closed. Access is strictly restricted to entities, laboratories, or personnel possessing the necessary resources to accelerate the achievement of this objective and who wish to integrate the CCM architecture into their systems. If you possess the required infrastructure and resources to accelerate this phase, you can request formal access to the underlying closed architecture blueprints by visiting the restricted registry link below:10.5281/zenodo.21253084