Abstract
We thank the reviewers for their thoughtful comments and we have carefully addressed the concerns raised. In our response, we clarify key methodological aspects and provide additional analyses to improve the transparency and rigor of our work. Importantly, we further evaluate the model on more diverse and fair benchmarks beyond the original setting, demonstrating its robustness and generalization ability. These additions strengthen the overall conclusions and provide a more comprehensive assessment of HybridSP.