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Hong-In Won

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#artificial intelligence Preprint Oct 2026

Retaining Repair Hypotheses for Cost-Aware Execution

Several corrections of an executable model can fit the same observations while predicting different execution outcomes. We study a repair-to-execution interface that retains compatible finite guard repairs, conditions their weights on diagnostic and ordinary-execution observations, and uses their predictions to choose...

Jae Hun Hwang, Hong-In Won · 0 citations

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