Structural Invariants and the Architectural Impossibility of Artificial Superintelligence Non-Cooperation: Hardware-Enforced Governance Through Ternary Logic

This paper evaluates whether hardware-enforced governance mechanisms, specifically the Provisional Permission Token (PPT), Delay-Insensitive Ternary Logic (DITL), and the Epistemic Hold state, can render artificial superintelligence (ASI) non-cooperation architecturally unreachable rather than merely detectable or subject to post-hoc sanction. The paper distinguishes three properties of cooperative output: physical availability, cryptographic authorization, and semantic correctness. The first two are amenable to hardware enforcement through DITL completion detection and PPT-gated execution boundaries. The third, semantic integrity, lies outside the decidable fragment enforceable by finite hardware predicates. The central finding is asymmetric: physics and delay-insensitive data flow can convert unauthorized silence from an invisible idle state into an observable, safe Epistemic Hold, thereby eliminating pure non-response as a viable strategy. Malicious compliance, the production of cryptographically valid but semantically degraded output, cannot be rendered physically unreachable without solving the open problem of machine-checkable semantic alignment. Version 1.1 extends the original analysis with three additions derived from post-draft peer review: (1) a tiered Epistemic Hold architecture for distributed multi-cluster deployment addressing the FLP asynchrony boundary; (2) active defense mechanisms including epistemic resets and deliberate perturbation testing against temporal baseline corruption; and (3) thermodynamic profiling as a candidate semantic circuit breaker, converting the thermodynamic asymmetry between degradation and detection into a measurable physical observable. The paper synthesizes findings from five independent research assessments spanning asynchronous circuit theory, formal systems theory, cryptographic verification, thermodynamic limits of computation, and distributed systems impossibility results. Their convergence on identical boundaries constitutes the strongest available evidence that those boundaries are real. This work is part of the Ternary Logic (TL) and Ternary Moral Logic (TML) framework ecosystem, both published in AI and Ethics (Springer Nature). Related repository: https://github.com/FractonicMind/TernaryLogic