Meta-Stability Framework (MSF): A Functional Theory of Structural Stability and Reconstruction Transitions
Abstract
Meta-Stability Framework (MSF) is a conceptual meta-theoretical framework that generalizes previously registered stability models into a unified theory of dynamic structural stability in non-equilibrium systems. The framework defines system stability as the existence of sustainable attractors governed by three functional variables—Grounding (G), Structural Cohesion (K), and Variety (V)—and formalizes collapse as a structural transition triggered by ΔT, an external constraint that eliminates existing stability basins. MSF does not propose a microscopic simulator; rather, it provides a macroscopic functional architecture that allows domain-specific stability models to be derived as special cases. It introduces an operational definition of collapse, a functional variable decomposition method, and a model-class transition perspective on reconstruction processes. ■ Relation to Previous Registrations This document presents a meta-theoretical generalization of the previously registered: Minimal Stability Framework Architectural Extension of the Stability Framework Intelligence Stability Framework v3 Those works specify domain-focused dynamical models of intelligence stability and collapse. MSF abstracts their shared structural principles into a foundational framework that describes how such stability theories can be constructed, analyzed, and extended across domains. In formal terms: Previous models ⊂ MSF They represent specific instantiations within the broader functional architecture defined here.
Fields of Study & Subjects
Complex Systems and Dynamics
Ecosystem dynamics and resilience
Chaos
Complexity
and Education
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint