Experimental Evaluation of IEM-OS: Robustness Boundaries and Certified Recovery Readiness Under Bounded Uncertainty

This paper presents a rigorous experimental evaluation ofthe IEM-OS (Information-Energy-Matter Operating System) architecture, focusing on its robustness boundaries, set-membership identification, model inconsistency detection, and certified recovery readiness.Utilizing a frozen baseline (Layer A, V1.9.16c) of a low-dimensional nonlinear toy model coupled with an external Monte Carlo benchmark runner (Layer C) via a frozen computational adapter (Layer B), we conductan evaluation comprising 30,000 closed-loop step transitions across aprescribed set of in-model and out-of-model parameter regimes. Our results quantify the conservatism–adaptation trade-off inherent in strict 16-case robust feasibility checks. Specifically, while strict robust constraintsdrive frequent uncertified fallbacks (u = 0.0), the evaluated implementation achieves an 85.2% to 100.0% Certified Recovery ReadinessRate—defined as the fraction of detected inconsistency events for whichone-step robust feasibility is successfully restored after uncertainty-setexpansion—upon detecting model inconsistencies, indicating empiricalcertified recovery readiness under the specified bounded-uncertaintyprotocol.