Beyond Correctness: Compute-Responsive Data Selection for Reasoning Model Post-Training.

arXiv:2610.20057v1 Announce Type: new Abstract: Reasoning language models increasingly rely on test-time compute scaling, yet most existing work studies how to allocate inference computation while treating the model itself as fixed. We ask a complementary ques