ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold

arXiv:2604.13392v1 Announce Type: new Abstract: Tabular data remains prevalent in highstakes domains such as healthcare and finance, where predictive models are expected to provide both high accuracy and faithful, humanunderstandable reasoning.