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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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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
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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.

668 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.
668 works in the cohort · of 4,299,418page 11 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.

affunlabeled
Approaching Deepfake Detection Models
Reepu Reepu, Neha Saini, Pawan Kumar, Bhupinder Pal Singh Chahal
2024· book-chapter· en· Advances in information security, privacy, and ethics book series· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affunlabeled
Training Autoencoders in Sparse Domain
Biswarup Bhattacharya, Arna Ghosh, Somnath Basu Roy Chowdhury
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Dataset for Understanding Open UGC Video Datasets
Pierre Lebreton, Patrick Le Callet, Neil Birkbeck, Yilin Wang, Balu Adsumilli
2024· article· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Markov Observation Models and Deepfakes
Michael A. Kouritzin
2025· preprint· en· Preprints.org· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Text-Conditioned Image Synthesis - A Review
Piyush Saha, Sumon Ghosh, Dinabandhu Bhandari
2023· review· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Clockwork Variational Autoencoders
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
2021· article· en· Neural Information Processing Systems· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
A Review of 2D Diffusion Methods for 3D Medical Image Synthesis
Pouya Shiri, Samaneh Javadinia, Yi Xin, Neel P. Misty, Seok-Bum Ko, Amirali Baniasadi +1 more
2025· preprint· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_science+insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About