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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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Generative Adversarial Networks and Image Synthesis
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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.

668 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
668 works in the cohort · of 4,299,418page 1 of 14

Labels cover 1 of 668 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 668 of 668 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Deep learning
2015· review· en· Nature· Computer Science
distilled prediction:candidate · research_integrityconsensus · research_integrity
81,659
citations
affunlabeled
Generative adversarial networks
2020· article· en· Communications of the ACM· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
13,622
citations
fundno affunlabeled
Generative Adversarial Networks
2014· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
4,572
citations
affunlabeled
Deep Boltzmann machines
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1,778
citations
affunlabeled
Palette: Image-to-Image Diffusion Models
2022· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · none
1,504
citations
affno abstractunlabeled
Higher Order Contractive Auto-Encoder
2011· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
380
citations
affunlabeled
Importance Weighted Autoencoders
2015· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
251
citations
affaboutunlabeled
Generative Moment Matching Networks
2015· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
244
citations
affunlabeled
Learning with Hierarchical-Deep Models
2013· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Image Generation From Layout
2019· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
215
citations
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