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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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Human Motion and Animation
Retraction
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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.

523 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.
523 works in the cohort · of 4,299,418page 2 of 11

Labels cover 0 of 523 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 523 of 523 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
Terrain runner
Libin Liu, KangKang Yin, Michiel van de Panne, Baining Guo
2012· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
82
citations
afffundno abstractunlabeled
Simulating Self-Motion I: Cues for the Perception of Motion
Lara Harris, Michael Jenkin, D.C. Zikovitz, F. Redlick, Philip Jaekl, Urszula Jasiobedzka +2 more
2002· article· en· Virtual Reality· Engineering
machine prediction:candidate · noneconsensus · none
68
citations
affunlabeled
Algorithmic issues in modeling motion
Pankaj K. Agarwal, Leonidas Guibas, Herbert Edelsbrunner, Jeff Erickson, Michael Isard, Sariel Har-Peled +15 more
2002· review· en· ACM Computing Surveys· Engineering
machine prediction:candidate · noneconsensus · none
65
citations
affunlabeled
Eyecatch
Sang Hoon Yeo, Martin Lesmana, Debanga Raj Neog, Dinesh K. Pai
2012· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
64
citations
venueno affunlabeled
Magic canvas
Hyojong Shin, Takeo Igarashi
2007· article· en· Proceedings· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
62
citations
affunlabeled
Synthesis of constrained walking skills
Stelian Coros, Philippe Beaudoin, Kang Yin, Michiel van de Panne
2008· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
62
citations
afffundunlabeled
Obscuring length changes during animated motion
Jason G. Harrison, Ronald A. Rensink, Michiel van de Panne
2004· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
62
citations
afffundunlabeled
SuperTrack
Levi Fussell, Kevin Bergamin, Daniel Holden
2021· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
59
citations
afffundunlabeled
Task-based locomotion
Shailen Agrawal, Michiel van de Panne
2016· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
51
citations
afffundunlabeled
Discovering diverse athletic jumping strategies
Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin
2021· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Motion Amplifiers
Rubaiat Habib Kazi, Tovi Grossman, Nobuyuki Umetani, George Fitzmaurice
2016· article· en· Engineering
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Optimizing walking controllers
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2009· article· en· Engineering
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Improving Sampling‐based Motion Control
Libin Liu, KangKang Yin, Baining Guo
2015· article· en· Computer Graphics Forum· Engineering
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
AER
Michael Neff, Eugene Fiume
2005· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
43
citations
affno abstractunlabeled
Curriculum Learning for Motor Skills
Andrej Karpathy, Michiel van de Panne
2012· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Generalized biped walking control
Stelian Coros, Philippe Beaudoin, Michiel van de Panne
2010· article· en· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Motion doodles
Matthew Thorne, David Burke, Michiel van de Panne
2004· article· en· Engineering
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
SketchiMo
Byungkuk Choi, Roger Blanco i Ribera, John Lewis, Yeongho Seol, Seok‐Pyo Hong, Haegwang Eom +2 more
2016· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Feature-based locomotion controllers
Martin de Lasa, Igor Mordatch, Aaron Hertzmann
2010· article· en· Engineering
machine prediction:candidate · noneconsensus · none
35
citations
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