EPOCHE — An Interpretive Braking Framework for Escalation Restraint (Non-Binding)
Abstract
This record contains the EPOCHE Stack, a set of independent, non-authoritative, non-operational interpretive documents examining escalation, uncertainty, mimicry, and restraint in adversarial AI contexts. The framework is advisory-only and defender-mode only. It does not implement, enforce, or guarantee safety, prevention, containment, or compliance with any standard or law. EPOCHE is designed to introduce interpretive braking friction by increasing legibility, scrutiny, reversibility awareness, and escalation clarity—particularly in contexts involving uncertainty, incentive conflicts, or potential misuse. Any effects described are probabilistic, context-dependent, and rely entirely on human decision-making. The documents are intentionally non-hierarchical and may be encountered in any order. No execution sequence or precedence is implied. An included Index document provides neutral navigation only. Integrity Manifest (v1.0) For file-level verification of all EPOCHE Stack documents, see the companion record: EPOCHE Stack — Hash Manifest (v1.0)https://zenodo.org/records/19562469 This manifest provides SHA-256 hashes for all component documents and enables independent verification across Archive, Zenodo, and GitHub mirrors. A mirrored archival copy of this work is available via the Internet Archive for long-term preservation and read-only access:https://archive.org/details/epoche-stack-phase-3-mechanism-catalog-descriptive-non-operational A read-only GitHub mirror of this work is available for redundancy and visibility: https://github.com/solisaegis/epoche-stack This work is an independent, original synthesis created for analytical and educational purposes. No affiliation, endorsement, certification, or authority is claimed or implied.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Adversarial Robustness in Machine Learning
Military Strategy and Technology
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Language
- EN