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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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Advanced Optimization Algorithms Research
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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.

604 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.
604 works in the cohort · of 4,299,418page 3 of 13

Labels cover 1 of 604 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 604 of 604 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.

affunlabeled
The Gauss-Newton direction in semidefinite programming
Serge Kruk, Masakazu Muramatsu, Franz Rendl, Robert J. Vanderbei, Henry Wolkowicz
2001· article· en· Optimization methods & software· Mathematics
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Symbolic Fenchel Conjugation
Jonathan M. Borwein, Chris Hamilton
2007· article· en· Mathematical Programming· Mathematics
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Linear equalities in blackbox optimization
Charles Audet, Sébastien Le Digabel, Mathilde Peyrega
2014· article· en· Computational Optimization and Applications· Mathematics
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Lectures on Global Optimization
Pãnos M. Pardalos, Thomas F. Coleman
2009· book· en· American Mathematical Society eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Self-Dual Embeddings
Etienne de Klerk, Tamás Terlaky
2000· book-chapter· en· International series in management science/operations research/International series in operations research & management science· Mathematics
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Optimization of algorithms with OPAL
Charles Audet, Kien-Cong Dang, Dominique Orban
2014· article· en· Mathematical Programming Computation· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Nonlinear Optimization
H. A. Eiselt, Carl-Louis Sandblom
2019· book· en· International series in management science/operations research/International series in operations research & management science· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
afffundno abstractunlabeled
The colourful feasibility problem
Antoine Deza, Sui Huang, Tamon Stephen, Tamás Terlaky
2008· article· en· Discrete Applied Mathematics· Mathematics
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Symbolic computation of Fenchel conjugates
Heinz H. Bauschke, Martin v. Mohrenschildt
2006· article· en· ACM communications in computer algebra· Mathematics
machine prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
Bi-parametric convex quadratic optimization
‎Alireza Ghaffari-Hadigheh, Oleksandr Romanko, Tamás Terlaky
2009· article· en· Optimization methods & software· Mathematics
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Convexity of the Proximal Average
Jennifer A. Johnstone, Valentin Koch, Yves Lucet
2010· article· en· Journal of Optimization Theory and Applications· Mathematics
machine prediction:candidate · noneconsensus · none
14
citations
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