Effectiveness of substantially stronger analyzers

Determine whether a substantially stronger analyzer model could write more accurate instructions for Privileged Self-Practice training than the Qwen3.6-27B analyzer used in the experiments.

Background

Privileged Self-Practice relies on a frozen analyzer model to convert failed student rollouts and reference trajectories into task-specific instructions. The experiments use Qwen3.6-27B as the analyzer because invoking a substantially larger or frontier model throughout training would incur high computational and token costs.

The paper reports strong results with the selected analyzer but does not establish whether a substantially stronger analyzer would generate more accurate instructions or improve training outcomes. The question is explicitly identified as unresolved in the conclusion.