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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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Markov Chains and Monte Carlo Methods
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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.

418 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.
418 works in the cohort · of 4,299,418page 1 of 9

Labels cover 1 of 418 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 418 of 418 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Particle Markov Chain Monte Carlo Methods
Christophe Andrieu, Arnaud Doucet, Roman Holenstein
2010· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
2,055
citations
afffundunlabeled
On Choosing and Bounding Probability Metrics
Alison L. Gibbs, Francis Edward Su
2002· article· en· International Statistical Review· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
1,204
citations
fundno affunlabeled
Examples of Adaptive MCMC
Gareth O. Roberts, Jeffrey S. Rosenthal
2009· article· en· Journal of Computational and Graphical Statistics· Mathematics
distilled prediction:candidate · noneconsensus · none
1,078
citations
afffundunlabeled
MCMC Using Hamiltonian Dynamics
Radford M. Neal
2011· preprint· en· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
542
citations
afffundunlabeled
Analysis of a nonreversible Markov chain sampler
Persi Diaconis, Susan Holmes, Radford M. Neal
2000· article· en· The Annals of Applied Probability· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
283
citations
affunlabeled
Lectures on Monte Carlo Methods
Neal Madras
2001· book· en· American Mathematical Society eBooks· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · metaepi_narrow
171
citations
affunlabeled
Markov Chains and De‐initializing Processes
Gareth O. Roberts, Jeffrey S. Rosenthal
2001· article· en· Scandinavian Journal of Statistics· Mathematics
distilled prediction:candidate · noneconsensus · none
74
citations
affno abstractunlabeled
Split Hamiltonian Monte Carlo
Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal
2013· article· en· Statistics and Computing· Mathematics
distilled prediction:candidate · noneconsensus · none
69
citations
affunlabeled
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme
Saifuddin Syed, Alexandre Bouchard‐Côté, George Deligiannidis, Arnaud Doucet
2021· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
68
citations
affunlabeled
Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando de Freitas
2012· article· en· Mathematics
distilled prediction:candidate · noneconsensus · none
56
citations
afffundno abstractunlabeled
Scaling analysis of multiple-try MCMC methods
Mylène Bédard, Randal Douc, Éric Moulines
2011· article· en· Stochastic Processes and their Applications· Mathematics
distilled prediction:candidate · noneconsensus · none
53
citations
affunlabeled
On the geometric ergodicity of hybrid samplers
Gersende Fort, Éric Moulines, Gareth O. Roberts, Jeffrey S. Rosenthal
2003· article· en· Journal of Applied Probability· Mathematics
distilled prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Rayleigh Matroids
YoungBin Choe, David G. Wagner
2006· article· en· Combinatorics Probability Computing· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
44
citations
affunlabeled
On Variance Conditions for Markov Chain CLTs
Olle Häggström, Jeffrey S. Rosenthal
2007· article· en· Electronic Communications in Probability· Mathematics
distilled prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Markov chain Monte Carlo
Phil Gregory
2005· book-chapter· en· Cambridge University Press eBooks· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
37
citations
fundno affno abstractunlabeled
Measure-Valued Differentiation for Markov Chains
Bernd Heidergott, Felisa J. Vázquez-Abad
2007· article· en· Journal of Optimization Theory and Applications· Mathematics
distilled prediction:candidate · noneconsensus · none
35
citations
afffundno abstractunlabeled
Faster Mixing and Small Bottlenecks
Nikolaos Fountoulakis, Bruce A. Reed
2006· article· en· Probability Theory and Related Fields· Mathematics
distilled prediction:candidate · noneconsensus · none
35
citations
afffundunlabeled
Variance bounding Markov chains
2008· article· en· The Annals of Applied Probability· Mathematics
distilled prediction:candidate · noneconsensus · none
34
citations

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