A conformalized GAN framework is proposed with finite-sample coverage claims, but the theorem is an unproven appeal to standard conformal validity under a distribution shift the paper does not address.
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Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
A conformalized GAN framework is proposed with finite-sample coverage claims, but the theorem is an unproven appeal to standard conformal validity under a distribution shift the paper does not address.