Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation

ArXi:2606.04402v1 Announce Type: new Modern reasoning models can allocate different amounts of test-time computation, such as thinking tokens, model calls, or compute budget, to different tasks. Existing methods generally drive this allocation by predicted difficulty and spend compute where it is expected to raise accuracy. This implicitly assumes that all failures cost the same, since an accuracy objective weights every task equally.