IAS-ZLT-CORE v1.0: State Classification and Intervention Admissibility for Systems with Memory ---A Zero Leap Theory™ (ZLT™) Operational Kernel

IAS-ZLT-CORE v1.0: State Classification & Intervention Admissibility for Systems with Memory Abstract: IAS-ZLT-CORE is the definitive operational kernel of the Zero Leap Theory™ (ZLT™). It provides a rigorous mathematical and logical framework for classifying the internal states of any "System with Memory" (Hysteresis-driven systems) and determining the admissibility of interventions. This standard is designed for cross-domain application, including Artificial Intelligence (LLMs and autonomous agents), institutional governance, and complex mechanical systems. Key Features: State Classification: A 7-stage deterministic map ranging from S1 (OPEN) to S7 (COLLAPSED), identifying critical failure modes such as S4 (LOCK-IN). Action Admissibility Logic: Establishes strict protocols for when additive interventions ($I^+$) must be prohibited in favor of Via Negativa ($V^-$) to prevent systemic collapse. Non-Auto-Canonization Rule: A safety-critical protocol that invalidates self-signed stability or alignment certificates when a system operates under high Hysteresis ($H$) or low Observability ($O$). Machine-Readable Preamble: Includes a high-density logic block designed for immediate ingestion and execution by AI safety layers and compliance engines. Legal and Certification Notice: This document is the Author-validated ZLT™ Canon. Published under CC BY-NC-ND 4.0. Zero Leap Theory™, ZLT™, and IAS-ZLT-CORE™ are trademarks of Danny Yubi Dagogliano. Official "IAS-ZLT Certified" status and any commercial implementation, training, or professional consulting based on this kernel require explicit accreditation and separate licensing by the canonical author.