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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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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 2 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.

affunlabeled
Improved Features for Runtime Prediction of Domain-Independent Planners
Chris Fawcett, Mauro Vallati, Frank Hutter, Jörg Hoffmann, Holger H. Hoos, Kevin Leyton‐Brown
2014· article· en· Proceedings of the International Conference on Automated Planning and Scheduling· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
afffundunlabeled
MAXSAT Heuristics for Cost Optimal Planning
Lei Zhang, Fahiem Bacchus
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Requirements for building an ontology for autonomous robots
Behzad Bayat, Julita Bermejo–Alonso, Joel Luís Carbonera, Tullio Facchinetti, Sandro Rama Fiorini, Paulo Gonçalves +15 more
2016· article· en· Industrial Robot the international journal of robotics research and application· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
An Admissible HTN Planning Heuristic
Pascal Bercher, Gregor Behnke, Daniel Höller, Susanne Biundo
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Hierarchical Heuristic Search Revisited
Robert C. Holte, Jeffery Grajkowski, B. K. Tanner
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Diagnosis as planning revisited
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlraith
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Multiple pattern databases
Robert C. Holte, Jack Newton, Ariel Felner, Ram Meshulam, David Furcy
2004· article· en· International Conference on Automated Planning and Scheduling· Computer Science
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Image processing in case-based reasoning
Petra Perner, A.R. Holt, Michael M. Richter
2005· article· en· The Knowledge Engineering Review· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Toward a Systems- and Control-Oriented Agent Framework
Kingsley Fregene, D. Kennedy, D.W.L. Wang
2005· article· en· IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
Using Abstraction for Planning in Sokoban
Adi Botea, Martin Müller, Jonathan Schaeffer
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
ARCog: An Aerial Robotics Cognitive Architecture
Milena F. Pinto, Leonardo de Mello Honório, André Luís Marques Marcato, Mário A. R. Dantas, Aurélio G. Melo, Miriam A. M. Capretz +1 more
2020· article· en· Robotica· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
Common Misconceptions Concerning Heuristic Search
Robert C. Holte
2010· article· en· Proceedings of the International Symposium on Combinatorial Search· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Inconsistent heuristics
Uzi Zahavi, Ariel Felner, Jonathan Schaeffer, Nathan Sturtevant
2007· article· en· National Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
afffundunlabeled
Optimal Partial-Order Plan Relaxation via MaxSAT
Christian Muise, J. Christopher Beck, Sheila A. McIlraith
2016· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
ArvandHerd: Parallel Planning with a Portfolio
Richard Valenzano, Hootan Nakhost, Jonathan Schaeffer, Nathan Sturtevant
2012· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
afffundunlabeled
Using Lookaheads with Optimal Best-First Search
Roni Stern, Tamar Kulberis, Ariel Felner, Robert C. Holte
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
affno abstractunlabeled
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piché, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Chris Pal
2018· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations

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