[2605.17909] Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems

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Computer Science > Artificial Intelligence

arXiv:2605.17909 (cs)

[Submitted on 18 May 2026]

Title:Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems

Authors:Riddhi Mohan Sharma<br>View a PDF of the paper titled Ethical Hyper-Velocity (EHV): A Provably Deterministic Governance-Aware JIT Compiler Architecture for Agentic Systems, by Riddhi Mohan Sharma

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Abstract:As autonomous agentic systems scale across regulated critical infrastructures, the lack of mechanistic, hardware-rooted enforcement for high-frequency policy updates presents a fundamental safety gap. We introduce Ethical Hyper-Velocity (EHV), a novel architectural framework for the formal verification of AI governance policies at runtime. Unlike retrospective auditing frameworks (ISO/IEC 42001, NIST AI RMF) which introduce 14-30 day latencies, EHV relocates the Policy Enforcement Point (PEP) into the inference pipeline via a Governance-Aware Just-In-Time (JIT) Compiler. By integrating Conflict-free Replicated Data Types (CRDTs) for policy synchronization and Epoch-based Attestation Caching within Trusted Execution Environments (TEEs), EHV achieves Sub-millisecond Formal Determinism (SMFD). We demonstrate via TLA+ formal verification that non-compliant agentic actions are computationally unreachable within the system's bounded operating state space. We prove that O(1) runtime enforcement can eliminate the traditional trade-off between deployment velocity and governance integrity, reducing Governance Latency from O(days) to O(1).

Comments:<br>11 pages, 3 TikZ figures, 1 table. Bounded TLA+ formal specification and model checking verification logs included as supplementary artifacts

Subjects:

Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO)

Cite as:<br>arXiv:2605.17909 [cs.AI]

(or<br>arXiv:2605.17909v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2605.17909

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Riddhi Mohan Sharma [view email]<br>[v1]<br>Mon, 18 May 2026 06:15:51 UTC (12 KB)

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