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April 19, 20260 citationsOpen Access

AI Governance Before Intelligence A Pre-Execution Substrate for Deterministic Refusal, Authority Validation, and Continuity Preservation Version 0.9.6

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JLJustin LaPorte

Key Points

  • The aim is to establish a governance-first framework that determines interaction legitimacy before execution occurs.
  • Developed a pre-execution governance substrate.
  • Defined invariants of authority validation, coverage, and continuity preservation.
  • Identified failure constructs for interaction analysis.
  • Aligned framework with EU AI Act obligations.
  • Established correct identification of required authorities in interactions.
  • Ensured completeness by including all necessary roles and evidence.
  • Developed a non-executing model that maintains consistency across state transitions.
  • Mapped interaction-level failures to governance invariants successfully.

Abstract

ABSTRACT Elyon-Sol ELYON-SOL Whitepaper (v0. 9. 6 — CANONICAL): Governance Before Intelligence – A Pre-Execution Substrate for Deterministic Refusal, Authority Validation, and Continuity Preservation Description: This is the canonical v0. 9. 6 release of Elyon-Sol, a governance-first pre-execution substrate designed to determine whether an interaction should exist at all — before any policy evaluation, intelligence, or execution occurs. Elyon-Sol operates as a lightweight, non-executing gate under a strict fail-closed model. It enforces three independent governance invariants: AC³ (Authority Construct) — Legitimacy: Are all required authorities present, identifiable, and properly scoped? T²⁶ (Coverage Model) — Completeness: Are all necessary participants, roles, and evidence present? CCS (Continuity Control Surface) — Identity preservation: Does the system maintain structural and semantic consistency across state transitions? The framework identifies four recurring interaction-level failure constructs: CDD — Consent Deadlock SAP — Service Access Paradox PAD — Policy Authority Disclosure ILT — Illegitimate Loop Termination These constructs serve as an observational detection layer that maps directly to invariant violations. Key Features of v0. 9. 6: Fully consolidated single-document canonical artifact Embedded formal interaction model with typed primitives and necessity-style proofs Complete integration of the failure constructs layer with detailed evaluation logic, failure conditions, and inter-construct mappings Operationalized CCS continuity with explicit state transitions and mapping equivalence Deterministic trace mapping (Appendix A) for reproducible failure analysis Scope clarification emphasizing the non-executing, legitimacy-only role of the substrate The work is grounded in real-world observations from healthcare, finance, and insurance domains and includes alignment with key obligations under the EU Artificial Intelligence Act (particularly risk management, human oversight, and prohibited practices). Files in this record: Whitepaper₀. 9. 6CANON. docx (primary unified canonical document) Supporting PDF versions and previous iterations available for historical reference This release represents the most complete and internally coherent version of the Elyon-Sol governance substrate to date. Keywords: AI governance, pre-execution substrate, deterministic refusal, authority validation, continuity preservation, consent deadlock, service access paradox, policy authority disclosure, illegitimate loop termination, fail-closed model, EU AI Act

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Cite This Study

Justin LaPorte (2026) studied this question.

synapsesocial.com/papers/69e472d8010ef96374d8ed43https://doi.org/10.5281/zenodo.19629697
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