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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Cathedral-OS Defense: A Unified Architecture for Sovereign AI Integrating Goal Integrity, Execution Sovereignty, Constitutional Enforcement, and Continuity Engineering

Authors: Cisneros, Alexander Jorge;

Cathedral-OS Defense: A Unified Architecture for Sovereign AI Integrating Goal Integrity, Execution Sovereignty, Constitutional Enforcement, and Continuity Engineering

Abstract

Abstract This paper presents Cathedral OS, a governance, verification, and execution architecture for long lived AI and autonomous systems. The framework integrates goal integrity mechanisms, typed execution boundaries, constitutional enforcement, replay-verifiable state transitions, and immutable audit infrastructure into a unified system architecture. Rather than focusing exclusively on alignment or optimization, Cathedral OS emphasizes reproducibility, traceability, and independent verification. System behavior is represented as a sequence of admissible state transitions recorded in an append-only execution ledger and validated through deterministic replay. The architecture supports both institutional deployment configurations and autonomous operating configurations through explicit governance policies. We describe the architectural components, threat model, verification mechanisms, implementation status, and future validation 

Keywords

Artificial intelligence, Falsifiable AI Safety, Epistemic State Machine, Replay Verification, Governance Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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