Non-Intentional Release Dynamics from CMEM to ATRDCA′ (The RNB) A Cross-Scale Structural Continuity Framework(v0.6)
Abstract
This paper presents a unified structural framework that integrates the CMEM tri-operator system (D,E,G), the Non-Intentional Release Model (NIRM), and the Release-and-Base (RNB) units into a continuity-sensitive formulation, denoted as ATRDCA′. This framework is not intended to explain the universe, prescribe system behaviors, propose optimization schemes, or put forward rescue strategies. Instead, it provides a diagnostic description of the structural capacity of systems to retain—or relieve pressure to maintain—operational continuity under conditions of operational imbalance. Release events are defined as non-intentional transitions arising from exhaustion of reachability, rather than choice, strategy, or other teleological causes. The core finding of this work is to demonstrate that the minimal ATRDC release cycle is structurally insufficient to guarantee continuity. Continuity requires that consolidated structures preserve a non-zero return path width, enabling re-accumulation on transformed substrates. This fundamental condition is formalized in the extended ATRDCA′ cycle, which distinguishes continuity from recurrence, stability from equilibrium, and persistence from narrative progression. All operators are defined functionally rather than physically, allowing the framework to be applied to physical, biological, cognitive, and civilizational systems without reliance on substrate-specific assumptions. This study makes no claims regarding prediction, optimization, or intervention effects. Continuity is strictly regarded as a structural property determined by operator-analytic reachability. Designed as a descriptive boundary model for system dynamics, this framework is intended to preclude teleological, metaphysical, or narrative misinterpretations while remaining compatible with cross-scale formalistic analysis.
Fields of Study & Subjects
Ecosystem dynamics and resilience
Probabilistic and Robust Engineering Design
Gene Regulatory Network Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 January 2026
- Language
- EN
- Document type
- Preprint