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

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: Whitepaper_0.9.6_CANON.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(primary unified canonical document) Supporting PDF versions and previous iterations available for historical reference This release represents the most complete and internally coherent version of the Elyon-Sol governance substrate to date.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

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-17
DOI
https://doi.org/10.5281/zenodo.19629697
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Justin LaPorte
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

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

Justin LaPorte
article en

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: Whitepaper_0.9.6_CANON.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

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Ethics and Social Impacts of AI
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