Framework evolution optimizes governance models for AI systems, highlighting implications for viability and architecture.
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.
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Narnaiezzsshaa Truong (2026) studied this question.