\section{Conclusion}
We introduce the RE-SORT for CTR prediction. The proposed MSR enables the network to efficiently capture diverse high-order representations. An SCE module is introduced to effectively remove spurious correlations, allowing the model to focus on true causal features. Extensive experiments on four public datasets and our production dataset demonstrate the SOTA performance of RE-SORT, which advances the current methods and offers valuable insights for future research and applications.