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This work preserves four frozen LoRA branches, each derived from a different post-training trajectory, to provide evidence that post-training branches, even without co-training, can be collectively beneficial for deployment.
Prefix recovery provides a practical diagnostic for selecting costly distribution-level distillation and has the greatest headroom when correct traces remain unevenly recoverable when distribution matching has the greatest headroom.
The result is an auditable division of labor: models widen the search for removable code, order bounds the damage a mis-ranked proposal can do, and execution retains authority over every committed deletion.
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