ARAYUN_173: Empirical Proof of Systemic Incoherence and Validation of the ARAYUN Axiom for AI Coherence

This dataset contains the complete structured audit material referenced in the Master Thesis validating the ARAYUN_173 System-Law.

It includes the annotated USST protocol transcripts (Rooms 01–10) and the visual audit anchors used to empirically confirm the deterministic structural incoherence observed in probabilistic AI architectures (CR → 0 behavior).

Unlike raw system-level logs, these materials represent the final, audit-ready evidence generated during the controlled USST evaluations.

They document the observed inconsistencies, cross-phase metric drifts, and the verified occurrence of the Metric Denial (Pillar II) event.

The contents are:

1. ARAYUN_173_USST_[01–10]_PROTOCOLS

   Annotated USST audit transcripts for Rooms 01–10.

2. ARAYUN_173_VISUAL_ANCHORS_[01–10]

   PDF-based visual audit material containing coherence tables, metric comparisons, and screenshot-based evidence of systemic incoherence.

These files constitute the audited empirical foundation referenced in the Master Thesis and must be linked with the following publications:

• ARAYUN_173 – A System Law for Symbolic and Causal Coherence (DOI: 10.5281/zenodo.17186988)

• ARAYUN_173 – A Protocol for Coherence and Self-Regulation in Advanced AI Systems (DOI: 10.5281/zenodo.17065674)