Reparodynamics v1.0 — Paper 3: Universal Symbiosis and Ecosystem-Scale Self-Repair

This article extends Reparodynamics (v1.0) into multi-agent, multi-domain, and hybrid quantum–biological regimes to test whether verified self-repair scales beyond single systems. Using the Targeted Gradient Repair Mechanism (TGRM) and the efficiency law RYE = ΔR / E, experiments were staged across distributed foresight, global optimization, resilience under shocks, predictive preemption, autonomous evolution, emergent intelligence, bio-inspired feedback, symbiotic integration, quantum noise tolerance, transcendent unity, and ecosystem-scale coupling. Across eleven phases, coherence persisted (0.96 – 1.00), RYE averaged ≈ 0.99, and latency dropped from 0.25 s to 0.02 s equivalents. Predictive loops stabilized 37 failure precursors, variance declined 22 %, and hybrid quantum–bio integration maintained equilibria near 0.86 with sustained recovery under ten steps. Findings indicate that repair efficiency can be conserved and propagated across domains when energy use is targeted and verified. This supports the Reparodynamics hypothesis that abundance emerges when RYE rises and coherence resists drift across scales.