Phase-Locked Control Architecture for Eliminating Long-Tail Failure in Stochastic Cleanup Systems

This dataset contains a full Monte Carlo validation study of a multi-phase control system for stochastic contaminant cleanup. Multiple controller architectures (v12–v17) are evaluated under identical stochastic conditions. The study includes both successful and negative-result designs, providing a complete validation trajectory. Key results: - Baseline and stress-test systems exhibit long-tail failure behavior and unstable convergence.- Intermediate designs demonstrate partial improvements but fail under adverse conditions.- A phase-locked control architecture (v17) achieves: - 100% success rate (<6 hours) - Low variance (σ ≈ 0.25 hours) - Stable resource utilization Primary finding: Long-tail failure in stochastic cleanup systems is eliminated when early-phase control is guaranteed via a phase-locking mechanism that stabilizes effective reaction kinetics. The dataset includes:- Simulation outputs for all model versions- Comparative performance metrics- Correlation analyses- Figures and visualizations- Structured data for independent verification This work provides a reproducible framework for analyzing and stabilizing stochastic systems using phase-constrained control strategies.