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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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Computer Graphics and Visualization Techniques
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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.

1,194 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.
1,194 works in the cohort · of 4,299,418page 11 of 24

Labels cover 1 of 1,194 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 1,194 of 1,194 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.

affunlabeled
Shadowing Dynamic Scenes with Arbitrary BRDFs
Derek Nowrouzezahrai, Evangelos Kalogerakis, Eugene Fiume
2009· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Active Curve Recovery of Region Boundary Patterns
Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche
2011· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Texel Shading
Karl Hillesland, Jason Yang
2016· article· en· Eurographics· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
FPGA Particle Graphics Hardware
John Sachs Beeckler, Warren J. Gross
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Generating Op Art lines
Tiffany C. Inglis, Craig S. Kaplan
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Layered Surface Fluid Simulation for Surgical Training
Louis Borgeat, Philippe Massicotte, Guillaume Poirier, Guy Godin
2011· article· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Adaptive Sampling for Sound Propagation
Chakravarty R. Alla Chaitanya, John M. Snyder, Keith W. Godin, Derek Nowrouzezahrai, Nikunj Raghuvanshi
2019· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
VEMPIC
Michael Tao, Christopher Batty, Mirela Ben‐Chen, Eugene Fiume, David I. W. Levin
2022· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Fast and reliable incremental dimensionality reduction for streaming data
Tácito Trindade de Araújo Tiburtino Neves, Rafael M. Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando V. Paulovich
2021· article· en· Computers & Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Simulating Classic Mosaics with Graph Cuts
Yu Liu, Olga Veksler, Olivier Juan
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Computational Physics in Film
Robert Bridson, Christopher Batty
2010· article· en· Science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
DCGrid
Wouter Raateland, Torsten Hädrich, Jorge Alejandro Amador Herrera, Daniel T. Banuti, Wojtek Pałubicki, Sören Pirk +2 more
2022· article· en· Proceedings of the ACM on Computer Graphics and Interactive Techniques· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Calligraphic video
Xin Wei Sha, Michael Fortin, Jean-Sébastien Rousseau
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Multiphysics Simulation Methods in Computer Graphics
Daniel Holz, Stefan Rhys Jeske, Fabian Löschner, Jan Bender, Yin Yang, Sheldon Andrews
2025· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Feature-based Displacement Mapping
Xiaohuan Corina Wang, Jérôme Maillot, Eugene Fiume, Victor Ng‐Thow‐Hing, Andrew Woo, Sanjay Bakshi
2000· book-chapter· en· Eurographics· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Preserving sharp edges in geometry images
Mathieu Gauthier, Pierre Poulin
2009· article· en· Graphics Interface· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Neural Brushstroke Engine
Maria Shugrina, Chin-Ying Li, Sanja Fidler
2022· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
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