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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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Adversarial Robustness in Machine Learning
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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.

797 results · 1 filter active ·
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20012025
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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.
797 works in the cohort · of 4,299,418page 14 of 16

Labels cover 2 of 797 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 797 of 797 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled
Adversarial Machine Learning in Cyber Social Security
Vita Santa Barletta, Christian Catalano, Mattia Colucci, S. Del Vescovo, Antonio Piccinno
2025· article· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
0
citations
affunlabeled
When Vision Fails: Text Attacks Against ViT and OCR
Jenny Blessing, Ilia Shumailov, Ross Anderson, Nicolas Papernot
2025· article· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Reverse Capability Transfer
Andreas Schotter
2007· article· en· ASAC· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh
2022· article· en· Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
afffundunlabeled
Adversarially Training for Audio Classifiers
Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal
2021· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Generic Guard AI in Stealth Game with Composite Potential Fields
Kaijie Xu, Clark Verbrugge
2025· article· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
Verification Witnesses from Verification Tools (SV-COMP 2022)
Dirk Beyer
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
On the Hardness of Conditional Independence Testing In Practice
Zheng He, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
2025· preprint· ArXiv.org· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
0
citations

How this was built: Screen · Findings · About