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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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Advanced Bandit Algorithms Research
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

436 results · 1 filter active ·
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20002025
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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.
436 works in the cohort · of 4,299,418page 8 of 9

Labels cover 1 of 436 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 436 of 436 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Iso 3103 pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Bayesian Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
Online Dynamic Submodular Optimization
2023· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Stochastic Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
The Exp3 Algorithm
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Bandits, Probability and Concentration
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
High-Probability Lower Bounds
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Statistical Consequences of Dueling Bandits
2021· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Stochastic Processes and Markov Chains
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Other Topics
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Online Learning with Optimism and Delay
2021· preprint· en· OpenBU (Boston University)· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Foundations of Probability
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
SEH: Size Estimate Hedging for Single-Server Queues
2021· preprint· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affunlabeled
Batched Bandits with Crowd Externalities
2021· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Stochastic Linear Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Adversarial Linear Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Concentration of Measure
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Pure Exploration
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Non-stationary Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Contextual and Linear Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Exp3 for Adversarial Linear Bandits
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Markov Decision Processes
2020· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

How this was built: Screen · Findings · About