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Beyond Distributional Fidelity: Causal-Penalized Diffusion for Synthetic Tabular Data
Synthetic tabular generators are commonly optimized for distributional fidelity, but statistical similarity alone does not guarantee preservation of causal effects. In this paper, we study whether causal fidelity can be improved directly within a fully generative tabular model. Causal Fidelity is de
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