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April 22, 20260 citationsOpen Access

I Governance Before Intelligence A Pre-Execution Substrate for Deterministic Refusal, Authority Validation, and Continuity Preservation Version 0.9.7.1

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JLJustin LaPorte

Key Points

  • To present Elyon-Sol as a governance-first framework that determines interaction legitimacy pre-execution.
  • Introduces a pre-execution substrate focusing on governance invariants and failure constructs.
  • Defines three invariants: Authority Construct, Coverage Model, and Continuity Control Surface.
  • Includes practical evaluation examples to demonstrate deterministic refusal in interactions.
  • Enhancements to the Continuity Control Surface with explicit ternary state representation.
  • Established interaction failure constructs to improve legitimacy checks in interactions.
  • Alignment with EU AI Act obligations for responsible AI practices.

Abstract

Abstract: ELYON-SOL Whitepaper (v0. 9. 7. 1 — CANONICAL): Governance Before Intelligence – A Pre-Execution Substrate for Deterministic Refusal, Authority Validation, and Continuity Preservation Description: This is the v0. 9. 7. 1 canonical release of Elyon-Sol, a governance-first pre-execution substrate that determines whether an interaction should exist at all, prior to any policy evaluation, intelligence, or execution. Elyon-Sol acts as a lightweight, non-executing legitimacy 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 also defines four interaction-level failure constructs (observational detection models): CDD — Consent Deadlock SAP — Service Access Paradox PAD — Policy Authority Disclosure ILT — Illegitimate Loop Termination Key improvements in v0. 9. 7. 1: CCS formally tightened with explicit ternary state representation s = (u, c, d), change detection, and justification-based transition rules (now fully evaluable and bound to AC³/T²⁶) New Appendix B with two worked end-to-end evaluation examples demonstrating deterministic refusal in real interaction patterns (anonymized) Consolidated single-document artifact containing narrative, embedded formal model with proof-style definitions, full failure constructs layer, and deterministic trace mapping The work is grounded in observed patterns from healthcare, finance, and insurance domains and includes high-level alignment with obligations under the EU Artificial Intelligence Act (risk management, human oversight, prohibited practices). Files in this version: Whitepaper₀. 9. 7. 1CANON. docx (primary unified canonical document) Supporting PDFs and previous versions available for reference 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/69e865126e0dea528dde9addhttps://doi.org/10.5281/zenodo.19666821
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