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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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Sparse and Compressive Sensing Techniques
Retraction
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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
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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.

892 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
892 works in the cohort · of 4,299,418page 12 of 18

Labels cover 1 of 892 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 892 of 892 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Generalized maximum-entropy sampling
Jon Lee, Joy Lind
2019· article· en· INFOR Information Systems and Operational Research· Engineering
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Super-Acceleration with Cyclical Step-sizes
Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien Taylor, Fabián Pedregosa
2021· preprint· en· arXiv (Cornell University)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
fundno affunlabeled
Dual Space Preconditioning for Gradient Descent
Chris J. Maddison, Daniel Paulin, Yee Whye Teh, Arnaud Doucet
2021· preprint· en· SIAM Journal on Optimization· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affunlabeled
Weighted and reweighted approximate message passing
Navid Ghadermarzy, Özgür Yılmaz
2013· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
afffundunlabeled
Robust Gradient-Based Markov Subsampling
Tieliang Gong, Quanhan Xi, Chen Xu
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Nuclear Norm Regularization
Dengdeng Yu, Dehan Kong
2025· review· en· Wiley Interdisciplinary Reviews Computational Statistics· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
fundno affunlabeled
CaSCADE: Compressed Carrier and DOA Estimation
Shahar Stein, Or Yair, Déborah Cohen, Yonina C. Eldar
2016· preprint· en· arXiv (Cornell University)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
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