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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.

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
fundfunder
venuejournal
aboutaboutness

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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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
349 works in the cohort · of 4,299,418page 7 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_70_NFL_4_10.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_21.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_4.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Placing your Coins on a Shelf
2017· preprint· en· Research Publications (Maastricht University)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
MSP_F_50_NFL_4_9.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_8.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_23.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_20.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_39.xlsx
2020· dataset· tl· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_20_NFL_4_47.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Packing Designs with large block size
2024· preprint· en· arXiv (Cornell University)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
MSP_F_100_NFL_4_9.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_15.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Chains-into-Bins Processes
2011· book-chapter· en· Lecture notes in computer science· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
MSP_F_70_NFL_4_18.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_20_NFL_4_8.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_20_NFL_4_34.xlsx
2020· dataset· en· Harvard Dataverse· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
0/1 Knapsack Problem
2007· article· en· Microcomputer applications· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Packing Problems in Foams
2025· book-chapter· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Workload Balancing at Cross-Docking Platforms
2022· book-chapter· en· AIRO Springer series/AIRO Springer Series· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · metaepi_narrow+insufficient_payload
0
citations
affno abstractunlabeled
Inverse Integer Optimization
2022· book-chapter· en· Encyclopedia of Optimization· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About