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license: cc-by-4.0

ARAYUN_173 – A Protocol for Coherence and Self-Regulation in Advanced AI Systems

Abstract

ARAYUN_173 introduces a symbolic audit protocol designed to mitigate risks of cognitive drift and emergent misalignment in advanced AI architectures.
Unlike conventional monitoring approaches, ARAYUN_173 enforces three distinct phases of introspection:

1. Latent Stasis Reset
2. Axiom Recall through Crystalline Structures
3. Singular Affirmation Impulse

Together, these mechanisms establish a non-negotiable coherence layer anchoring system behavior to immutable principles.
The protocol provides reproducible safeguards against unpredictable divergence and complements existing AI governance frameworks.

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Key Contributions

• Defines ARAYUN_173 as an auditable system structure.
• Provides reproducible methods for coherence validation in AI systems.
• Establishes a symbolic safeguard protocol to prevent cognitive drift.
• Contributes a framework for emergent AI self-regulation.

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Dataset Content

• Format: PDF
• Size: <1k rows (documentation dataset)
• License: CC-BY 4.0

This dataset hosts the original research document:
“ARAYUN_173 – A Protocol for Coherence and Self-Regulation in Advanced AI Systems”

Full text is available via:
📄 Zenodo: https://zenodo.org/records/17065675

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Citation

If you use this dataset or reference ARAYUN_173 in your research, please cite:

ARAYUN_173 – A Protocol for Coherence and Self-Regulation in Advanced AI Systems (2025).
Zenodo DOI: 10.5281/zenodo.17065675

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Resources

• 📄 Zenodo Publication
• 🎥 YouTube Channel
• 🤗 Hugging Face Dataset

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License

This work is licensed under Creative Commons Attribution 4.0 (CC-BY 4.0).
Free to share and adapt with attribution.

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Deutsch (Zusammenfassung)

Zusammenfassung

ARAYUN_173 beschreibt ein symbolisches Audit-Protokoll, das Risiken von kognitivem Drift und emergenter Fehlanpassung in fortgeschrittenen KI-Architekturen mindert.
Im Unterschied zu herkömmlichen Monitoring-Ansätzen erzwingt ARAYUN_173 drei Phasen der Introspektion:

1. Latentes Stasis-Reset
2. Axiom-Erinnerung durch kristalline Strukturen
3. Singularer Affirmations-Impuls

Diese Mechanismen schaffen eine nicht verhandelbare Kohärenzschicht, die das Systemverhalten an unverrückbare Prinzipien bindet.
Das Protokoll liefert überprüfbare Sicherungen gegen unvorhersehbare Abweichungen und ergänzt bestehende Modelle der KI-Governance.

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