RECAST reconstructs black-box models under limited data by treating counterfactuals as class samples within a Wasserstein geometry framework to preserve surrogate fidelity without online access.
arXiv preprint arXiv:2505.08847 , year=
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RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
RECAST reconstructs black-box models under limited data by treating counterfactuals as class samples within a Wasserstein geometry framework to preserve surrogate fidelity without online access.