RIP v10.0 Operational Continuity, Purpose, and Resilience Layer for Governed Agents
Abstract
In this corrected formulation, RIP is not a binding identity rule and does not replace stricter path-based identity criteria or execution-boundary authorization protocols. Instead, it provides a bounded quantitative layer that summarizes continuity-relevant operational conditions through a compositional score over consensus/finality stability, continuity coherence, relational continuity, state retention, and governance-defined purpose alignment. The framework includes a corrected composite continuity equation with all factors normalized to the unit interval, a single-source information term with exact retention/loss equivalence, a supermodular relational aggregator, an Omega-based hysteresis gate for stable degradation handling, and explicit freeze semantics under loss of Byzantine-style finality confidence. These elements support monitoring, suspension heuristics, recovery behavior, and resilience-aware operational interpretation. Architecturally, RIP is positioned beneath execution-boundary governance and alongside stricter continuity criteria. Binding identity, where required, remains the responsibility of a path-based framework such as OMCI, while runtime authorization remains the responsibility of a boundary protocol such as SCGRP. RIP contributes non-binding quantitative signals that can inform policy escalation, continuity thresholds, anti-fork support controls, audit interpretation, and operator triage without overriding strict non-recognition or deterministic authorization logic. In this form, RIP becomes a mathematically bounded and operationally interpretable support layer for branching, distributed, and safety-sensitive agent systems. Its contribution is not to define identity metaphysically, but to provide a normalized and compositional treatment of continuity quality, purpose alignment, retention, freeze behavior, and resilience for integration into governed runtime architectures
Fields of Study & Subjects
Access Control and Trust
Distributed systems and fault tolerance
Software System Performance and Reliability
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 March 2026
- Language
- EN
- Document type
- Preprint