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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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Reinforcement Learning in Robotics
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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.

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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.

1,145 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.
1,145 works in the cohort · of 4,299,418page 14 of 23

Labels cover 2 of 1,145 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 1,145 of 1,145 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Learning to Shape Rewards Using a Game of Two Partners
David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Wenbin Song, Feifei Tong +8 more
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
World Models with an Entity-Based Representation
Nazanin Yousefzadeh Khameneh, Matthew Guzdial
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Frequency-based Search-control in Dyna
Yangchen Pan, Jincheng Mei, Amir‐massoud Farahmand
2020· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
When is a Prediction Knowledge?
Alex Kearney, Patrick M. Pilarski
2019· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
2
citations
afffundunlabeled
Dynamic Planning Networks
Norman Tasfi, Miriam A. M. Capretz
2021· preprint· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Dual Temporal Difference Learning
Min Yang, Yuxi Li, Dale Schuurmans
2009· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About