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<title>faeval.git/experiments/periodic_refit.py, branch master</title>
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<title>Add Phase 9B+9C: periodic refit fails, top-down curriculum neutral</title>
<updated>2026-03-26T05:07:01+00:00</updated>
<author>
<name>YurenHao0426</name>
<email>Blackhao0426@gmail.com</email>
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<published>2026-03-26T05:07:01+00:00</published>
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Phase 9B (periodic refit K=5 R=1 alpha=0.75): 14.0% — Vec starts random,
periodic refits insufficient without offline pretraining.

Phase 9C (top-down curriculum): last1_vec=30.8%, last2_vec=31.1% vs DFA=31.2%.
Near-neutral. Cold-start problem persists even for single-block Vec.

Only Phase 9A's offline prefit + blend handoff (+1.5%) works.
The key ingredient is offline Vec training on frozen checkpoint features.

Co-Authored-By: Claude Opus 4.6 (1M context) &lt;noreply@anthropic.com&gt;
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<pre>
Phase 9B (periodic refit K=5 R=1 alpha=0.75): 14.0% — Vec starts random,
periodic refits insufficient without offline pretraining.

Phase 9C (top-down curriculum): last1_vec=30.8%, last2_vec=31.1% vs DFA=31.2%.
Near-neutral. Cold-start problem persists even for single-block Vec.

Only Phase 9A's offline prefit + blend handoff (+1.5%) works.
The key ingredient is offline Vec training on frozen checkpoint features.

Co-Authored-By: Claude Opus 4.6 (1M context) &lt;noreply@anthropic.com&gt;
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