TRIAD: Trans‑disciplinary Inference, Active Dynamics and Ontology (Version 5.7.1 — Public Monograph)

Title: TRIAD 5.7.1 Monograph: A Formal Ontology of Coherence, Trauma Therapy, and Safe AI — with Open Empirical Foundations and a Closed Engineering Core Author: Valeriia Zaiats (Валерия Заяц)ORCID: 0009-0002-6891-9227Licence: CC BY‑NC‑ND 4.0Cryptographic Attestation of Priority: OpenTimestamps Abstract This is the open‑science release of the TRIAD 5.7.1 monograph — a unified formal ontology that bridges the Free Energy Principle, computational psychiatry, the thermodynamics of information, and AI safety engineering. Consciousness is modelled as an open dissipative system pursuing allostatic growth through event‑driven dynamics, metabolic will (ωω), epistemic honesty (EsEs), and immunoceptive defence (InsaInsa). The architecture is grounded in 206 systematically audited hypotheses drawn from over 170 million peer‑reviewed papers. What is public in this release (Open Science Perimeter): The complete formal ontology (Part I), including the Canonical Triad Theorem and the Quantum Observer Framework. The full empirical pedestal (Part II) — 206 audited mechanisms across neuroscience, AI safety, quantum biology, game theory, and social science. The open version of the Lacunae Research Programme (Appendix F) — a structured map of fundable, citable research projects, each with a specific objective, method, and target journal. These lacunae are released as a permanent scientific commons: anyone may build on them, but the foundational formulation must be cited. The phenomenological case studies and descriptions of the unique Longitudinal Journal Corpus (LJC) and TRIAD Dialogue Corpus (TDC). The clinical protocol RIT 5.7.1 (T1) and the high‑level architecture of Art of Emotions 5.7 (T3). The APPENDIX C-2 and It's ZIP archive contains one folder per thematic block ( Block1 – Block13 ).Inside each folder you will find the original PDF reports as exported from the Consensus audit engine. What remains closed (Proprietary Engineering Moat): The full Clean Shell 5.7.1 OSC stack specification and the Ars Magna unitary architecture blueprint All training pipelines, intensity‑weighted attention implementations The detailed financial models and franchise parameters of Art of Emotions. The closed layer is available to verified research partners and institutional investors under a standard mutual NDA. The open layer establishes global scientific priority and provides a citable foundation for the emerging field of Thermodynamic Cognitive Engineering. Who this is for: Researchers: Ready‑to‑execute projects, fully grounded in the formal ontology, designed to produce both peer‑reviewed publications and defensible IP. AI developers: An architectural blueprint for sovereign, honest, and immune cognitive systems. Clinicians: A precision protocol for trauma integration (RIT 5.7) derived from first principles of Active Inference and stochastic thermodynamics. Investors: A clear separation between the public scientific commons and the proprietary engineering core — the deep‑tech moat behind the first thermodynamically grounded AI safety stack.