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Sprint 10C: lora_plan.py + distill.py β adapter/distillation planning (dry-run, no GPU required)
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Sprint 10B: optimizer.py β agentic decision policy (improving/plateau/degrading/rollback)
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Sprint 10A: shadow_eval.py β compare candidate vs baseline safely
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Sprint 9C: prompt_pack.py β epigenetic optimization (prompts before weights)
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Sprint 9B: dataset.py β trace β filtered training dataset builder
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Sprint 9A: fingerprint.py β capability fingerprint from execution traces
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Sprint 9-10: optimization package init