item 22 pre-registered: E2-L rung B internalization ladder (front-first deletion, 10 pauses/step, warm-started d=1..3); trainer gains --drop-steps/--warm-start/--steps/--lr; smoke-tested 2 steps on Spark
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -525,3 +525,33 @@ much reduced vs answer-only carry (83->72-83 vs 83->45). Ladder gate:
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technically met at p=2; decision on stage B/A2/E2-N deferred to the
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morning review with the p-values in hand — the drop-bucket signature,
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if it survives pairing, is the strongest argument for continuing.
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22. **E2-L rung B: internalization ladder, front-first step deletion
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(pre-registered 2026-07-16 ~10:40, before running; Nils chose stage B
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over A2/E2-N at the morning review. Gate state: pre-registered +3
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overall met on points (+4.3 at p=2); paired McNemar overall ns, but
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the drop-bucket signature significant, 2:6 p=0.0094).** Design:
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delete the first d scratchpad lines of each verified terse CoT
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(d=1,2,3 — front-first: the deleted computation must ride the
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pause-chain before the visible remainder), each deleted step replaced
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by 10 pauses (median step = 10 tokens, compute-matched); unparseable
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cots (14/427 without exactly one Answer line) pass through intact.
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Step-count distribution 1/2/3/4/5+: 11/164/196/27/15 — so d=3 is
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effectively rung C (pauses only) for ~87% of items. Each rung
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warm-starts from the previous (d=1 from rung-A e400), brief retrain:
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200 steps, LR 3e-4 cosine, seed 0. Eval: GSM test n=256, cells 0:0
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(k=0 sanity, expect ~base 10.9), 2:(2+10d), 2:(6+10d); e200
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checkpoints; per-item logs kept so rung-vs-rung McNemar is offline.
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Known approximation, stated in advance: items with fewer than d
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steps train at smaller effective p than the eval cell
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(ndel=min(d,n_steps)). Predictions: (a) d=1 best cell within 5
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points of rung A's 57.4 — one step fits the recurrence budget (the
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drop-bucket reach evidence says the whiteboard already carries
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step-sized computation); (b) monotone decline across d; (c) at d=3
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accuracy stays above BOTH base (10.9) and cold answer-only carry
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(9.4) — curriculum beats cold training even where the ladder breaks.
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Deliverable: the break rung = first d whose best cell falls >=5
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points below the previous rung's best — the measured capacity of
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this recurrence budget to absorb computation. Job:
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scripts/jobs/zzz_m_gsm_rungb.sh (single submit, ~3x(40min train +
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eval) on the Spark).
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