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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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Stochastic Processes and their Applications
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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.

103 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.
103 works in the cohort · of 4,299,418page 2 of 3

Labels cover 1 of 103 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 103 of 103 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Strong invariance principle for singular diffusions
Andrew J. Heunis
2003· article· en· Stochastic Processes and their Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
On a waiting-time result of Kontoyiannis: Mixing or decoupling?
Giampaolo Cristadoro, Mirko Degli Esposti, Vojkan Jakšić, Renaud Raquépas
2023· article· en· Stochastic Processes and their Applications· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Nonlinear filtering of semi-Dirichlet processes
Ze-Chun Hu, Zhi-Ming Ma, Wei Sun
2009· article· en· Stochastic Processes and their Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Coarsening in zero-range processes
Inés Armendáriz, J. Beltrán, Daniela Cuesta, Milton Jara
2024· article· en· Stochastic Processes and their Applications· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Hyperbolic radial spanning tree
David Coupier, Lucas Flammant, Viet Chi Tran
2024· article· en· Stochastic Processes and their Applications· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
On the expected <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg" display="inline" id="d1e23"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math>-norm of high-dimensional martingales
Nicholas J. A. Harvey, Christopher Liaw, Victor Sanches Portella
2025· article· lv· Stochastic Processes and their Applications· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Random locations of periodic stationary processes
Jie Shen, Yi Shen, Ruodu Wang
2018· article· en· Stochastic Processes and their Applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Guided smoothing and control for diffusion processes
Oskar Eklund, Annika Lang, Moritz Schauer
2025· article· en· Stochastic Processes and their Applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Diffusions of multiplicative cascades
Tom Alberts, Ben Rifkind
2013· article· en· Stochastic Processes and their Applications· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Dirichlet form approach to MCMC optimal scaling
Giacomo Zanella, Mylène Bédard, Wilfrid S. Kendall
2017· preprint· en· Stochastic Processes and their Applications· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations

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