Recursive System Lifecycle in AI Systems: A Structural Instantiation of the Paton System

This record presents a Tier-7 domain instantiation of the canonical recursive lifecycle within the Paton System. The paper demonstrates that artificial intelligence systems follow a universal structural progression: • Admissibility — constraint alignment and system entry • Datum — model state and internal representations • Recursive Continuation — iterative computation and training dynamics • Constraint Drift — pre-closure instability phase • Boundary Closure — termination under constraint incompatibility The analysis shows that AI system failure is not anomalous, but structurally necessary once constraint drift exceeds admissible bounds. This record does not introduce new theoretical components. It applies existing Paton System constructs to a computational domain, confirming cross-domain structural consistency.