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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Optimization and Packing Problems
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

349 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
349 works in the cohort · of 4,299,418page 5 of 7

Labels cover 0 of 349 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 349 of 349 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
MSP_F_20_NFL_4_33.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_22.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Online Packing of Equilateral Triangles
2015· article· en· Canadian Conference on Computational Geometry· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
MSP_F_50_NFL_4_40.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_39.xlsx
2020· dataset· tl· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
The Outercoarseness of the n-cube
2017· article· en· Contributions to Discrete Mathematics· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
On the n-th element of a set of positive integers
2015· article· en· Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae Sectio computatorica· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hyperplane Separation Problem
2005· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
MSP_F_70_NFL_4_25.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_20_NFL_4_1.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_14.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_5.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_3.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_11.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_6.xlsx
2020· dataset· pt· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_20_NFL_4_5.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_35.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_49.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_26.xlsx
2020· dataset· pt· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_38.xlsx
2020· dataset· tl· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_22.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_50.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
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