Cognitive Integrity Framework: Computational Validation and Empirical Analysis (Part 2 of 3: Implementation, Empirical Analysis, and Adversarial Evaluation)

This paper presents the computational validation of the Cognitive Integrity Framework (CIF) whose formal foundations are established in Part 1 (DOI: 10.5281/zenodo.18364119). We implement the CIF defense suite --- cognitive firewalls, belief sandboxes, tripwires, drift and anomaly scoring, trust calculus with bounded delegation, provenance tracking, and Byzantine-tolerant consensus --- and evaluate it on an integrated 1,475-item attack corpus spanning fifteen categories, together with a 120-item benign corpus whose harder half carries attack-adjacent vocabulary. Multi-tier evaluation. Real pipeline evaluation across 30 seeds yields a mean detection rate of 86.3% (95% CI 85.5%-87.1%) at an 18.5% false-positive rate on the Claude Code architecture, measured on an injection-only 100-sample-per-seed arm. LLM-backed validation (N=10, Gemma 3 4B) reaches 80-100% across two topologies and is re