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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 Variational Analysis
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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.

732 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.
732 works in the cohort · of 4,299,418page 3 of 15

Labels cover 1 of 732 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 732 of 732 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Enlarged Inclusion of Subdifferentials
Lionel Thibault, Dariusz Zagrodny
2005· article· en· Canadian Mathematical Bulletin· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
On the Bartle-Graves theorem
Jonathan M. Borwein, Asen L. Dontchev
2003· article· en· Proceedings of the American Mathematical Society· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
fundno affno abstractunlabeled
A Sard theorem for tame set-valued mappings
A. D. Ioffe
2007· article· en· Journal of Mathematical Analysis and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
fundno affno abstractunlabeled
Abstract convexity of topical functions
H. Mohebi, M. Samet
2013· article· en· Journal of Global Optimization· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundno abstractunlabeled
Variational Analysis on the Signed Distance Functions
Honglin Luo, Xianfu Wang, Brett Lukens
2018· article· en· Journal of Optimization Theory and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Non-Convex Duality
Ivar Ekeland
2004· book-chapter· en· Advances in mechanics and mathematics· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Constructions of Uniformly Convex Functions
Jonathan M. Borwein, Jon D. Vanderwerff
2011· article· en· Canadian Mathematical Bulletin· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundno abstractunlabeled
The Brezis–Browder Theorem in a general Banach space
Heinz H. Bauschke, Jonathan M. Borwein, Xianfu Wang, Liangjin Yao
2012· article· en· Journal of Functional Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Accelerating Smooth Games by Manipulating Spectral Shapes.
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
2020· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About