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the notebook · skill library contents · run s11c2 · data/notebook.json + data/story_quotes.json

8 live entries, not 41 — the notebook after the overhaul.

The skills are the deliverable; this page shows them verbatim — the one mechanic with its full predict_next code and repair history, the win-condition succession chain, and the six metathinking seeds, each carrying the harness’s four-component score line (explanation · compression · untestedness · usage).

live / total entries · s11c2 · notebook.json notebook entries · q1b total → s11c2 live mechanic r6 final ledger · bundle.jsonl most-cited seed · llm_calls.jsonl actor responses
1

The mechanic — r6, the entry that actually plays the game

1 mechanic · 9 versions · born R4 · skill_versions.jsonl

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evolution note

r6 was born at R4 and rewritten in sleep 8 times (9 versions); 11 more repair attempts were rejected by the held-out replay gate (e.g. held-out regression 0.948→0.778 — sleep_edits.jsonl, verbatim). The v6 repair is where the code learned level 1’s 9→12 grammar — zero_target = 12 if has12 else 8 first appears in v6 and survives into the final code above — and the v7 doc then states it verbatim: “zero-coded tiles use value 12 when a value-12 palette/key is visible, otherwise value 8” (skill_versions.jsonl v7 doc). evidence: s11c2 R24 — level 2 reached on this mechanic →

2

The win-condition chain — one lineage, five retirements, one survivor

r7 → r8 → r9 → r10 → r11 → r12 · parents fields · notebook.json

Before the overhaul, q1b burned 29 unrelated win-condition guesses (28 died on arrival). After it, s11c2 kept a single succession: each entry names its parent, marks the unconfirmed part [?] and carries a TEST: procedure against the logged level-up frame.

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diagnosis · the remaining disease

None of these held the actor’s winning hypothesis (steps.html#s11c2-r2 →) — the code-form requirement kept it out: the relational rule the actor played and won by (below, verbatim) never fit a holds(state) predicate, so the notebook’s goal entries kept describing the after-the-win screen instead. Next run: wincond becomes natural language.

3

The seeds — six metathinking entries the actor actually cites

r0–r5 · citation counts from llm_calls.jsonl actor responses

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Citation counts = bracketed [rN] ids quoted verbatim in s11c2 wake actor responses (llm_calls.jsonl; 33 recorded rounds). The harness’s own scoreline shows the seeds α 1.0 / β 1.0 · “cites 0 ⚠untested” — the evidence channel never scores them, yet the relational seed r1 is cited more often than the mechanic itself.

Onward