Residual-Based Causal Discovery via Pretrained In-Context Quantile Regression

What this work does

LOSCAR extends RESIT by estimating both conditional location and scale before testing residual independence. Pretrained TabPFN quantile predictions supply flexible scale estimates without additional model training.