AI RESEARCH
Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models
arXiv CS.AI
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ArXi:2605.06343v1 Announce Type: new Tabular foundation models are pre-trained on one of three classes of corpus: curated datasets drawn from benchmark repositories, tables harvested at scale from the web, or synthetic tables sampled from a parametric generative prior. Despite the centrality of pre-