What question did this study set out to answer?

To present Elyon-Sol as a governance-first framework that determines interaction legitimacy pre-execution.

April 22, 2026Open Access

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

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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