TRIAD: Trans‑disciplinary Inference, Active Dynamics and Ontology (Version 6.1 — Public Monograph)

TRIAD 6.1 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: 0009-0002-6891-9227 Licence: CC BY‑NC‑ND 4.0 Cryptographic Attestation of Priority: OpenTimestamps Abstract This is the open‑science release of the TRIAD 6.1 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 (ω), epistemic honesty (Es), and immunoceptive defence (Insa). The architecture is grounded in 283 systematically audited hypotheses drawn from over 170 million peer‑reviewed papers. TRIAD 6.1 is a notation‑only update that resolves symbol collisions, unifies the adaptive threshold notation, completes the parameter glossary, and removes version‑dependent formulations. It introduces no new operators and changes no equations. The complete record of these corrections is available in Errata v2.1 (DOI: https://doi.org/10.5281/zenodo.22057847). 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) — 283 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 6.1 (T1) and the high‑level architecture of Art of Emotions 6.1 (T3). A supplementary ZIP archive containing the updated dataset of all 283 hypotheses, accompanied by a structured JSON file detailing their comprehensive descriptions and metadata. Note: A native SurrealDB graph database and a fully interactive version of the monograph are currently in development and will be released soon. Errata & Changelog Appendix H:The full per‑chapter diff from TRIAD 6.0 to 6.1 is documented in Appendix H of the monograph, and the condensed ecosystem‑level record is provided in Errata v2.1 (DOI: https://doi.org/10.5281/zenodo.22057847). What remains closed (Proprietary Engineering Moat): The full Clean Shell OSC stack specification and the Ars Magna unitary architecture blueprint. All training pipelines, intensity‑weighted attention implementations. 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 6.1) 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.