Exploratory AI Systems with Deferred Evaluation, Priority-Guided Reexamination, and Minimal-State Resume

This submission presents an engineering architecture for exploratory AI systems operating under costly verification, delayed evaluation, and constrained review capacity. It integrates deferred evaluation, priority-guided reexamination, minimal-state resume, selective irreversible evaluation, and frontier-based restoration into one rule-compliant flow framework. The manuscript includes numbered flowcharts, block reference tables, baseline comparisons, and ablation design, with concrete illustrations for EDA exploration and distributed orchestration.