combination
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status TEXT NOT NULL CHECK (status IN ('proposed','ready_to_test','contradicted','withdrawn')),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)
);