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Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

1 row where claim_a = "ts-claim-mg1-noisy-tournament-selection"

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id ▼ claim_a claim_b bridge statement falsify status created_ts
ts-combo-listwise-collapse-is-noisy-argmax ts-claim-mg1-noisy-tournament-selection ts-claim-z1-listwise-collapse-global-discrimination ts-concept-noisy-argmax Accuracy@1 of an LLM pairwise judge over N unexecuted ML candidates equals the noisy-argmax accuracy of a Thurstone case-V comparator at the judge's pairwise accuracy; no additional listwise 'global discrimination' deficit is needed to explain Zheng Table 3, and the same arithmetic bounds RPM child-selection as N grows. Pre-registered: at p=0.59 the model predicts Acc@1 = 0.221 (N=8), 0.191 (N=10), 0.146 (N=15). A re-run of Zheng's ranking subset at those N with Acc@1 more than 2 SE below these values falsifies the combination; matching values within 2 SE support it. Second test: an RPM/AIRA-dojo tournament with N children whose selection accuracy tracks these curves. ready_to_test 2026-09-02T02:30:00Z

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CREATE TABLE combination (
  id          TEXT PRIMARY KEY,      -- ts-combo-<slug>
  claim_a     TEXT NOT NULL REFERENCES claim(id),
  claim_b     TEXT NOT NULL REFERENCES claim(id),
  bridge      TEXT REFERENCES concept(id),
  statement   TEXT NOT NULL,
  falsify     TEXT NOT NULL,
  status      TEXT NOT NULL CHECK (status IN ('proposed','ready_to_test','contradicted','withdrawn')),
  created_ts  TEXT NOT NULL,
  CHECK (claim_a < claim_b)
);
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