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ARAYUN173/arayun_173-system

ARAYUN_173 — System-Law Architecture Dataset This repository defines ARAYUN_173 as a system-level architecture, not a document collection. It provides the structured data layer for evaluating and implementing architectural coherence in advanced AI systems. Structure [cite_start]The dataset consists of five interconnected, non-linear components[cite: 3]: [cite_start]protocol (Paper 1) → Defines verification mechanisms and the Universal Semantic Self-Test… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-system.

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ARAYUN_173 — System-Law Architecture Dataset

This repository defines ARAYUN_173 as a system-level architecture, not a document collection. It provides the structured data layer for evaluating and implementing architectural coherence in advanced AI systems.

Structure

[cite_start]The dataset consists of five interconnected, non-linear components[cite: 3]:

  • —[cite_start]`protocol` (Paper 1) → Defines verification mechanisms and the Universal Semantic Self-Test (USST)[cite: 3].
  • —[citestart]**`systemlaw`** (Paper 2) → Establishes symbolic and causal invariants[cite: 3].
  • —[cite_start]`empirical` (Paper 3) → Provides measurable validation and proof of systemic incoherence[cite: 3].
  • —[cite_start]`technology` (Paper 4) → Defines the invariant implementation architecture for AGI[cite: 13].
  • —[cite_start]`limits` (Paper 5) → Defines structural impossibility boundaries under the EU AI Act[cite: 3].

Purpose

The ARAYUN173 architecture is **proprietary technology**. [citestart]This dataset is provided for professional evaluation and licensed integration to[cite: 3]:

  • —[cite_start]Enforce Architectural Coherence: Implement the Coherence Ratio (CR) as a hard system invariant[cite: 3].
  • —[cite_start]Verify Causal Stability: Ensure deterministic response behavior under regulatory load[cite: 3].
  • —[cite_start]Material Compliance: Operationalize requirements of the EU AI Act at the logic layer[cite: 3].

[cite_start]Access to this data does not constitute a grant of usage rights. Any functional, operational, or commercial use requires a formal license agreement[cite: 13].

Machine-Readability

All components are:

  • —[cite_start]JSON structured for deterministic parsing[cite: 3].
  • —[cite_start]Cross-referenced via internal IDs and cryptographic Audit Markers[cite: 3].
  • —[cite_start]Validated against SHA-256 integrity seals[cite: 3].

References (DOIs)

License

ARAYUN_173 PROPRIETARY SYSTEM LICENSE

[citestart]This work is protected under a proprietary license[cite: 13]. [citestart]The ARAYUN173 system-law architecture, including all associated concepts, structures, and implementations, is the exclusive intellectual property of ARAYUN173[cite: 13].

  • —[cite_start]Permitted: Reading, academic citation (non-operational)[cite: 13].
  • —[cite_start]Strictly Prohibited: Implementation, integration, derivation, or operational use (commercial or non-commercial) without an explicit license agreement (Overlay, Embedded, or Native)[cite: 13].

[cite_start]For licensing inquiries: arayun173 [at] proton [dot] me [cite: 3]

Operation 001: Executive AI Decision Review

This dataset is part of the public ARAYUN_173 evidence base. For an executive review path, use:

  • —Executive AI Decision Review: https://arayun173.com/executive-ai-decision-review/
  • —Request Assessment / Intake: https://arayun173.com/request-assessment/

Payment, where used, is handled in CHF via Stripe Checkout. The buyer currently chooses the CHF amount in Checkout. Review work starts after confirmed CHF payment and a usable intake/trace; output follows completion of the review process.

Evidence path: public research, published methodology, demonstrator, assessment path, and executive review output.