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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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Reinforcement Learning in Robotics
Retraction
Abstract
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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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venuejournal
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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 ·
Categories
Machine labels · sparse coverage
Evidence
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 2 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
Memory-based Deep Reinforcement Learning for POMDPs
2021· article· en· 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
77
citations
affunlabeled
Learning from Limited Demonstrations
2013· article· en· Neural Information Processing Systems· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
72
citations
affunlabeled
Bayesian Policy Gradient Algorithms
2007· book-chapter· en· The MIT Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
70
citations
affno abstractunlabeled
Bayesian Reinforcement Learning
2012· book-chapter· en· Adaptation, learning, and optimization· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
64
citations
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How this was built: Screen · Findings · About