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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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AI-based Problem Solving and Planning
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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.

618 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.
618 works in the cohort · of 4,299,418page 1 of 13

Labels cover 1 of 618 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 618 of 618 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
Knowledge Representation and Reasoning
2024· book-chapter· en· Encyclopedia of Computer Graphics and Games· Computer Science
machine prediction:candidate · noneconsensus · none
826
citations
affunlabeled
Enhanced Partial Expansion A*
Mitchell G. Goldenberg, Ariel Felner, Roni Stern, Gil Sharon, Nathan Sturtevant, Robert C. Holte +1 more
2014· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
151
citations
affno abstractunlabeled
The Berkeley UNIX Consultant Project
Robert Wilensky, David N. Chin, Marc Luria, James Martin, James Mayfield, Dekai Wu
2000· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
123
citations
afffundunlabeled
Large language models for chemistry robotics
Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen +7 more
2023· article· en· Autonomous Robots· Computer Science
machine prediction:candidate · noneconsensus · none
100
citations
affunlabeled
HTN planning with preferences
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlraith
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
88
citations
afffundunlabeled
Graph Abstraction in Real-time Heuristic Search
Vadim Bulitko, Nathan Sturtevant, Junhao Lu, Thomas Yau
2007· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
85
citations
afffundunlabeled
Preferred Explanations: Theory and Generation via Planning
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlraith
2011· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
83
citations
affunlabeled
Planning with loops
Hector J. Levesque
2005· article· en· International Joint Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
78
citations
affno abstractunlabeled
Learning heuristic functions for large state spaces
Shahab Jabbari Arfaee, Sandra Zilles, Robert C. Holte
2011· article· en· Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
77
citations
affunlabeled
Planning with Preferences
Jorge A. Baier, Sheila A. McIlraith
2008· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
76
citations
afffundunlabeled
Decision-Theoretic Planning with non-Markovian Rewards
Sylvie Thiébaux, Charles Gretton, John Slaney, David J. Price, F. Kabanza
2006· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
Partial-Expansion A* with Selective Node Generation
Ariel Felner, Meir Goldenberg, Guni Sharon, Roni Stern, Tal Beja, Nathan Sturtevant +2 more
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
affno abstractunlabeled
Inconsistent heuristics in theory and practice
Ariel Felner, Uzi Zahavi, Robert C. Holte, Jonathan Schaeffer, Nathan Sturtevant, Zhifu Zhang
2011· article· en· Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
Planning Modulo Theories: Extending the Planning Paradigm
Peter Gregory, Derek Long, Maria Fox, J. Christopher Beck
2012· article· en· Proceedings of the International Conference on Automated Planning and Scheduling· Computer Science
machine prediction:candidate · noneconsensus · none
58
citations
affunlabeled
Dual lookups in pattern databases
Ariel Felner, Uzi Zahavi, Jonathan Schaeffer, Robert C. Holte
2005· article· en· International Joint Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Compressed Pattern Databases
Ariel Felner, Richard E. Korf, Ram Meshulam, Robert C. Holte
2007· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
afffundunlabeled
Functional reasoning theories: Problems and perspectives
Behrouz H. Far, A. HALIM ELAMY
2005· article· en· Artificial intelligence for engineering design analysis and manufacturing· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Intelligent decision support for protein crystal growth
Igor Jurišica, P. Rogers, Janice Glasgow, S. Fortier, Joseph R. Luft, Jennifer R. Wolfley +3 more
2001· article· en· IBM Systems Journal· Computer Science
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Case-based medical informatics
Stefan V. Pantazi, José F. Arocha, Jochen R. Moehr
2004· review· en· BMC Medical Informatics and Decision Making· Computer Science
machine prediction:candidate · noneconsensus · none
50
citations
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