Coherence, Drift, and Governance in Complex Systems: A Foundational Framework and Instrumentation Suite
Abstract
Coherence, Drift, and Governance in Complex Systems: A Foundational Framework and Instrumentation Suite Attribution is required for all uses. Collaboration, academic discussion, and non-commercial use are permitted. Commercial use, resale, or incorporation into proprietary systems is not permitted without explicit written permission from the author. Derivative works must preserve attribution and must not remove or alter the stated license terms. Deposit Description This deposit presents a coordinated set of three peer-facing papers that together define the conceptual, analytical, and governance boundaries of a coherence-centric framework for the study of complex systems. The collection introduces a recursive coherence formalism as a meta-analytic lens, demonstrates how coherence-related properties can be instrumented and empirically observed, and articulates governance and risk considerations necessary for responsible use. The first paper establishes the theoretical foundation, positioning the framework as descriptive and integrative rather than prescriptive or substitutive. The second paper details measurement philosophy, observable metrics, visualization-based instrumentation, and comparative baselines that demonstrate empirical accessibility without committing to deployment-specific implementations. The third paper addresses ethical, governance, and risk considerations, explicitly defining non-uses, human oversight requirements, and alignment with existing safety and research norms. Together, these papers are intended to establish priority, clarity of scope, and institutional legibility while remaining intentionally restrained. They are suitable for researchers, engineers, evaluators, and oversight bodies seeking a rigorous conceptual and diagnostic approach to coherence and drift in complex systems. Operational tooling, deployment-grade automation, and implementation-specific mechanisms are intentionally excluded from this deposit for safety, governance, and validation reasons. Collection Summary This collection defines a public, citable foundation for coherence-based analysis of complex systems. It introduces a unifying theoretical lens, demonstrates that coherence and drift can be measured and interpreted empirically, and sets explicit ethical and governance boundaries for responsible application. The work emphasizes early detection of structural degradation that may precede overt instability, while avoiding claims of universal optimality, autonomous decision-making, or prescriptive control. The three papers are designed to be read independently or as a cohesive whole. Collectively, they provide sufficient transparency to support scientific evaluation and institutional confidence, while deliberately withholding operational details that would be inappropriate for unrestricted public release. Included Files 1. A Recursive Coherence Framework for Stability, Drift, and Failure in Complex Systems Establishes the theoretical scope, definitions, and limits of the coherence framework as a meta-analytic construct applicable across domains. 2. Measuring Coherence and Drift in Complex Systems: Instrumentation and Comparative Analysis Defines coherence-related metrics, observable signals, visualization-based instrumentation, and comparative baselines demonstrating empirical measurability. 3. Governance and Risk Considerations for Coherence-Based System Instrumentation Articulates ethical boundaries, misuse risks, human-in-the-loop requirements, and governance principles for responsible application. Keywords coherence drift detection complex systems dynamical systems instrumentation system stability resilience synchronization governance risk analysis human-in-the-loop meta-analytic frameworks
Fields of Study & Subjects
Complex Systems and Dynamics
Systems Engineering Methodologies and Applications
Complex Systems and Decision Making
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 February 2026