The Ahuraic Framework as a Proposed Tripartite Architecture for Organization, Change, and Stability: Integrating CIS, D-CIS, and the Capacity–Attractor Principle

Complex systems are often described through domain-specific measures such as entropy, free energy, correlation length, network metrics, and information-theoretic quantities. This paper presents the Ahuraic Framework, a tripartite architecture for organization, change, and stability based on three constructs: Informational Structural Cost (CIS), its dynamic extension D-CIS, and the Capacity--Attractor Principle (CAP). CIS assigns a scalar structural cost to an admissible configuration via a predecessor-independent generative expansion ratio\( r(X)>0 \), and a conditional representation theorem yields \( CIS(X)=\ln r(X)+\kappa\,\rho(X) \), where \( \rho(X) \) is Organizational Rank (hierarchical depth) and \( \kappa \) a representation-dependent coefficient. D-CIS describes changes in CIS along trajectories, distinguishing instantaneous rate from finite change \( \Delta CIS \). CAP defines a dimensionless capacity ratio \( C=J/J_{\mathrm{crit}}(\rho(X)) \) and a statistical persistence hypothesis \( P(\text{persistence}\mid C>1)>P(\text{persistence}\mid C<1) \), not a deterministic threshold. The paper positions these constructs within roles of Structural Order, Generativity, and Coherence, with Structure constitutively prior to Organization. A qualitative comparative survey of 120 cases motivates but does not validate the framework. Testable implications, falsification conditions, and two reproducible network case illustrations are provided. The framework is proposed as a substrate-agnostic vocabulary, not a universal physical theory.