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This work introduces Counterfactual Harness Search and Evolution (CHASE), which casts harness evolution as constraint generation over validity-preserving benchmark counterfactuals and formalizes an exact shortcut-neutralized benchmark and establishes statistical guarantees linking finite counterfactual archives to $B_0$ and characterizing sequential Challenger search.
Task-specific responses can be unified through a novel multitask framework that reveals shared predictors across diverse outcome types, enhancing both prediction and interpretability.
