Overview
ARC-STAR corrects forecasts from a frozen PDE foundation model without fine-tuning the underlying solver. It first addresses global bias, then refines local residual errors, and allocates limited computation to regions identified as high risk. Separating these stages makes their contributions measurable and supports correction under a compute budget.