
This record contains Paper 4 of the ARAYUN_173 research series. This paper defines ARAYUN_173 for the first time as an Invariance Technology and an Invariant System-Law Architecture for AGI systems. Building on:• Paper 1 (Coherence and Self-Regulation Protocol),• Paper 2 (System-Law for Symbolic and Causal Coherence),• Paper 3 (Empirical Proof of Systemic Incoherence, Master Thesis), this document classifies ARAYUN_173 as a model-agnostic meta-architecture that defines semantic invariants, causal boundaries, identity stability, and drift avoidance. The paper introduces:• the six operational modules (GEIST, DOMUS, ISERONE, ARAYUN, VULKANUS, OSIRIS/IRID),• the invariant base instance AYREUS (TCE),• three deployment modes (Overlay, Embedded, Native),• and a licensing and governance framework compatible with ISO/IEC 42001, NIST AI-RMF, and the EU AI Act. The document is provided in both English and German TXT versions.The TXT format is intentional and constitutes the canonical reference representation. This paper completes the ARAYUN_173 sequence:Protocol → System Law → Empirical Proof → Invariance Technology.
causal coherence, non-probabilistic AI, AI coherence, drift prevention, AI auditability, invariance technology, semantic invariance, AGI, ARAYUN_173, system law, AI governance
causal coherence, non-probabilistic AI, AI coherence, drift prevention, AI auditability, invariance technology, semantic invariance, AGI, ARAYUN_173, system law, AI governance
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