SubReparo v1.0: Recursive Meta-Repair Architecture for Post-Saturation Intelligence

SubReparo v1.0 extends Reparodynamics v2.0 by introducing a higher-order repair layer that evolves the repair logic itself once all baseline efficiency metrics stabilize. While Reparodynamics v2.0 achieved terminal equilibrium — proving that autonomous self-repair can maintain order indefinitely — it also revealed a ceiling in RYE (Repair Yield per Energy) and insight yield. SubReparo defines the architecture that breaks through that ceiling. It adds five modules designed to repair the repair process itself: Recursive Meta-Repair Controller — monitors long-term RYE slope and triggers verified policy updates. Gradient Sharing Network — enables safe, auditable gradient exchange across domains. Entropy Budget Reallocator — dynamically prices and redistributes repair energy to maximize gain. Dual Loop for Novelty and Coherence — balances creative exploration and systemic stability. Verified Repair Lineage (VRL) — archives successful sequences and prunes negative yield. Together, these create a recursive meta-repair system capable of improving its own repair intelligence. The paper introduces the Meta-RYE metric — quantifying how efficiently a system enhances its own efficiency — and outlines future network-scale integrations under SubReparoNet and ReparoChain. SubReparo represents the next tier of Reparodynamics: not just self-repair, but self-improvement — a pathway toward open-ended adaptive intelligence.