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#artificial intelligence Preprint Jul 2026

Measuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models

Equipping a classifier two-sample test with a gradient-boosted discriminator and decomposing it by controlled permutation into marginal, dependency, and numerical-categorical cross components, each read against a fully factorized reference that destroys all dependency while leaving every marginal intact, and against a real-data oracle.

Jie Zhang · 0 citations