Joint Feasibility over a Defended Input Collection
Abstract
Worst-case constrained selection and multiple-performance feasibility become comparable when the joint requirement is evaluated within each protected input scenario. The test records which scenario and measure prevent acceptance. Nominal objective precision alone cannot defend the final action, and a conservative scenario set remains an application definition rather than a universal guarantee. This focused synthesis develops an empirical comparison that preserves the terminal action, observation process, and total verification cost. Its proposed tests are prospective; no new simulation run, model-training result, or intervention effect is reported.
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