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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
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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 14 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.

afffundunlabeled
Multivariate super-resolution without separation
Bakytzhan Kurmanbek, Elina Robeva
2023· article· en· Information and Inference A Journal of the IMA· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Embracing off-the-grid samples
Óscar López, Özgür Yılmaz
2023· article· en· Sampling Theory Signal Processing and Data Analysis· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Consistency of Penalized Convex Regression
Eunji Lim
2020· article· en· International Journal of Statistics and Probability· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Automatic sparse principal component analysis
Heewon Park, Rui Yamaguchi, Seiya Imoto, Satoru Miyano
2020· article· en· Canadian Journal of Statistics· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Regularization for capon and APES
Jun Yang, Chengpeng Hao, Xiaochuan Ma, Chaohuan Hou
2011· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Sample-based approximate regularization
Philip Bachman, Amir‐massoud Farahmand, Doina Precup
2014· article· en· PolyPublie (École Polytechnique de Montréal)· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Compressive Sensing
Vasudevan Lakshminarayanan, Damber Thapa, Kaamran Raahemifar, Hossein Rabbani
2015· other· en· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About