Constitutional Governance for Substrate-Regulated Intelligence: Framework Blueprints, Cross-Layer Signal Specifications, and Discipline Invariants

Read full text
Authors: Narnaiezzsshaa Truong
Cited by: 0

Abstract

This paper elaborates the architectural evolution required for governance frameworks designed for current AI systems — specifically the Four Gates threat model, APR-Lite privilege architecture, and EIOC sector packs — to remain viable and relevant in the context of substrate-regulated intelligence systems. Building on the initial framework evolution roadmap (Zenodo, March 9, 2026), this paper delivers the full structural articulation: a substrate contract defining what Layer 1 guarantees, exposes, forbids, negotiates, and repairs; rebuilt definitions for all four Gates with blueprint elements and invariants; APR-Lite dual-mode specifications; EIOC sector pack treaty axes; cross-layer signal specifications for all four framework interfaces; a five-layer canonical architecture stack; and six discipline invariants. GhostFrame is referenced as a theoretical substrate archetype only. All governance frameworks are original work. This version introduces the Constitutional Viability Substrate (CVS), a formally specified substrate-class architecture in which governance primitives themselves generate and maintain system viability, with eight substrate primitives and six CVS invariants.

Fields of Study & Subjects

Ethics and Social Impacts of AI Access Control and Trust Digitalization Law and Regulation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN
Document type
Preprint