Privileged-information distillation may affect long reasoning
A study evaluates self-distillation with privileged information in reasoning models and reports degradation in long trajectories across five models tested on AIME.
Published on July 7, 2026, the article studies self-distillation with privileged information—for example, supplying the solution to a math problem—in reasoning models. In AIME tests, it reports degradation in long reasoning trajectories across five Qwen3 and OLMo models.
The study highlights a possible trade-off: privileged information may help improve reasoning models, yet also harm long chains. To assess the result, consult the original article and check its methods, models, metrics, and test details; the available summary does not specify these elements.