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Safety-net run: rsync'd the remaining 8 cells from ichi (wd-1.0 seeds {1,2},
wd-3.0, batch-128), classified the full grid against Addendum 6. Verdict
unchanged and now complete: no O1 anywhere, P4 out-of-range in all 16 cells,
sieve-rank ladder resolves to 'no sieve' (smallest in-range composite
predictions 1001/1003/1010/1079/1099, all small-factor). In-range only: low-wd
RNN O-PARTIAL (seed-0), wd-1.0 replication seed-stable O4, batch-128 transformer
destabilizes late (train 1.0->0.55, val 0.83->0.45). Tracks e6 summary.csv.
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- Apply Addendum 6 P-ladder on [1001,2000] probe (computed on CPU; eval.py still hardcodes [101,200])
- wd 0.01/0.1/0.3: O-PARTIAL + P4 (val EM 0.77-0.84 in-range); wd 1.0: O4 + P4
- Sieve rank: undefined in all cells (smallest composite pred has small factors; no P5(k)/P6)
- 960->967 in all cells is training-split memorization, not sieve evidence
- Verdict: data pressure did not change outcome class; walls algorithmic, not data-bound
- 4 cells running (wd1.0 seeds 1,2), 4 queued (wd3.0, batch-128) -> 08:30 safety-net cron
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