“ReSS introduces a framework that merges symbolic reasoning with neural models to improve predictions on tabular data while maintaining human-interpretable explanations. This addresses a critical need in high-stakes domains like healthcare and finance, where both accuracy and explainability are essential for model adoption and regulatory compliance.”