TDH-CRAH-AI-Σ (TDH-Causal Reorganization & Accumulation Hub): An Advanced Architectural Variant for Multi-Scale Feedback, Tensor-Driven Causation, and Entropic Governance Boundaries (Version 2.0 - Math Extended)
- 1Private Researcher
Abstract
Title
TDH-CRAH-AI-Σ (TDH-Causal Reorganization & Accumulation Hub): An Advanced Architectural Variant for Multi-Scale Feedback, Tensor-Driven Causation, and Entropic Governance Boundaries
Version
2.0 - (Math extended)
Authors
Thai, Dinh Hau (TDH)
(Thái Đình Hầu (Vietnamese name))
(Pen-names: TDH, or Thomas H. D. Thai, Thomas Thai, Thoriel-TDH)
Affiliation
Independent Researcher
(Scientifically Theoretical Architect)
Date of Publication
2026-10-24
Description/Abstract
This work presents an advanced mathematical and structural divergence of the TDH-CRAH-AI-Σ framework, explicitly designed to elevate its initial pre-formal systems paradigm into an independently viable operational model within the Combined Intangible and Tangible Verse (CIT-Verse).
While parallel repository deposits (such as DOI: 10.5281/zenodo.23288373) focus on basic computational procedural loop execution, this isolated Version 2.0-Math-Extended treatise provides a comprehensive text-driven formalization of the system's underlying mathematical operators. This manuscript introduces multi-scale history tensor equations for causal accumulation within the Causal Reorganization and Accumulation Hub (CRAH), non-linear coupled field aggregations for cognitive module summation (Σ), and explicit entropic boundary minimization constraints for the internal housekeeping governance system (Gov).
Included in this repository are complete, warning-free LaTeX source assets, publication-grade math formatting blocks, and a native Python simulation script that computationally verifies system telemetry stabilization parameters post-transition without requiring centralized top-down control loops. This framework functions as an organizational systems paradigm designed to complement existing computational and physical laws.
Keywords
TDH Theory
TDH-CRAH-AI-Sigma (Causal Reorganization & Accumulation Hub)
CIT-Verse (Combined Intangible & Tangible -Verse)
Multi-Scale Feedback Mechanics
Tensor-Driven Causation
Causal Reorganization and Accumulation Hub (CRAH)
Housekeeping Governance (Gov)
Entropic Boundary Constraints
Python Loop Simulation
Matrix Stabilization Function
Cognitive Architecture
Decentralized Emergence
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
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BibTeX
@misc{thai2026tdhcrahaiς,
title = {{TDH-CRAH-AI-Σ (TDH-Causal Reorganization & Accumulation Hub): An Advanced Architectural Variant for Multi-Scale Feedback, Tensor-Driven Causation, and Entropic Governance Boundaries (Version 2.0 - Math Extended)}},
author = {Hau Dinh Thai},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23624739},
url = {https://zenodo.org/records/23624739},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - TDH-CRAH-AI-Σ (TDH-Causal Reorganization & Accumulation Hub): An Advanced Architectural Variant for Multi-Scale Feedback, Tensor-Driven Causation, and Entropic Governance Boundaries (Version 2.0 - Math Extended)
AU - Hau Dinh Thai
PY - 2026
DA - 2026/10/24
PB - Zenodo
DO - 10.5281/zenodo.23624739
UR - https://zenodo.org/records/23624739
AB - Title TDH-CRAH-AI-Σ (TDH-Causal Reorganization & Accumulation Hub): An Advanced Architectural Variant for Multi-Scale Feedback, Tensor-Driven Causation, and Entropic Governance Boundaries Version 2.0 - (Math extended) Authors Thai, Dinh Hau (TDH) (Thái Đình Hầu (Vietnamese name)) (Pen-names: TDH, or Thomas H. D. Thai, Thomas Thai, Thoriel-TDH) Affiliation Independent Researcher (Scientifically Theoretical Architect) Date of Publication 2026-10-24 Description/Abstract This work presents an advanced mathematical and structural divergence of the TDH-CRAH-AI-Σ framework, explicitly designed to elevate its initial pre-formal systems paradigm into an independently viable operational model within the Combined Intangible and Tangible Verse (CIT-Verse). While parallel repository deposits (such as DOI: 10.5281/zenodo.23288373) focus on basic computational procedural loop execution, this isolated Version 2.0-Math-Extended treatise provides a comprehensive text-driven formalization of the system's underlying mathematical operators. This manuscript introduces multi-scale history tensor equations for causal accumulation within the Causal Reorganization and Accumulation Hub (CRAH), non-linear coupled field aggregations for cognitive module summation (Σ), and explicit entropic boundary minimization constraints for the internal housekeeping governance system (Gov). Included in this repository are complete, warning-free LaTeX source assets, publication-grade math formatting blocks, and a native Python simulation script that computationally verifies system telemetry stabilization parameters post-transition without requiring centralized top-down control loops. This framework functions as an organizational systems paradigm designed to complement existing computational and physical laws. Keywords TDH Theory TDH-CRAH-AI-Sigma (Causal Reorganization & Accumulation Hub) CIT-Verse (Combined Intangible & Tangible -Verse) Multi-Scale Feedback Mechanics Tensor-Driven Causation Causal Reorganization and Accumulation Hub (CRAH) Housekeeping Governance (Gov) Entropic Boundary Constraints Python Loop Simulation Matrix Stabilization Function Cognitive Architecture Decentralized Emergence License Creative Commons Attribution 4.0 International (CC BY 4.0)
ER -