Empirical Validation and Engineering-Hardened Execution of the CNVS Framework

This report presents the empirical engineering validation of the Closed Native Verification Systems (CNVS) framework. It evaluates the architecture's capability to execute distributed state validation without relying on traditional terminal-consensus mechanisms, utilizing instead geometric invariants and topological decoupling. Through high-resolution Monte Carlo simulations (up to 500,000 iterations per configuration), the study analyzes the framework across three primary executable domains: Test 13 evaluates fragmentation sensitivity within a 256-bit CSPRNG-hardened finite field, demonstrating strict alignment between empirical reconstruction rates and exact injective hypergeometric references. Test 14 executes a full semantic pipeline on a simulated physical domain, proving that the progressive global invariant effectively intercepts and rejects locally admissible "stealth" attacks up to extreme collusion thresholds. Furthermore, it models progressive invariant leakage, demonstrating resistance to false-state bypass under partial disclosure. Test 15 isolates the critical fragmentation cardinality parameter (m), confirming that scaling m from 32 to 512 exponentially shifts adversarial reconstruction success toward higher compromise thresholds, without inducing macroscopic degradation in local computational latency or validation throughput. The consolidated empirical data validates the structural and mathematical consistency of the CNVS theoretical model in an identifying regime, providing an executable foundation for subsequent real-world distributed network deployments.