SISPEC Kernel v21.6: Source Code and Validation Dataset for Γ-Theory

This theory establishes a formal isomorphism between information thermodynamics, differential geometry, and the integrity of complex systems.The dataset includes:- Normalized implementation of the trauma tensor (T_i) on a 12-dimensional toroidal manifold- Radon-Nikodym isomorphism between Boltzmann-Gibbs entropy and Shannon information entropy- Ricci flow regularization and Lévy estimators for 7.6σ-precision financial auditing- Empirical validation data from the Mexican Stock Exchange (2023-2026)- Hardware testing on Intel Core i5 (2.7 GHz, 8GB DDR3, macOS Catalina)Validation metrics:- Determinant: 3336.694- Collective Imperfect Coherence (CIC) transition: 5.3600 → 1.5803 (at 120 minutes)- TC260 compliance: PASSED (risk content < 0.001%)This dataset has been audited under GB/T 45654—2026 and CAS standards, and is suitable for cross-scale optimization of semiconductors, financial systems, and complex socio-technical organizations.