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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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Proceedings of the AAAI Conference on Artificial Intelligence
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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.

1,046 results · 1 filter active ·
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20102025
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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.
1,046 works in the cohort · of 4,299,418page 17 of 21

Labels cover 0 of 1,046 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 1,046 of 1,046 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
Structural Entropy Guided Probabilistic Coding
Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao +1 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Contract Scheduling With Predictions
Spyros Angelopoulos, Shahin Kamali
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Privacy Attacks on Schedule-Driven Data
Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck, Matthias Weidlich
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Exploiting Determinism to Scale Relational Inference
Mohamed Hamza Ibrahim, Christopher Pal, Gilles Pesant
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Exact ASP Counting with Compact Encodings
Mohimenul Kabir, Supratik Chakraborty, Kuldeep S. Meel
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Generating Chinese Ci with Designated Metrical Structure
Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Mahdi Mostajabdaveh, Timothy T. Yu, S. Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini +2 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Learning Intuitive Physics with Multimodal Generative Models
Sahand Rezaei-Shoshtari, Francois R. Hogan, Michael Jenkin, David Meger, Gregory Dudek
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Generalizing across Temporal Domains with Koopman Operators
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui +3 more
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Mathematics
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Learning to Search in Local Branching
Defeng Liu, Matteo Fischetti, Andrea Lodi
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Multi-Mask Label Mapping for Prompt-Based Learning
Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Worst-Case Voting When the Stakes Are High
Anson Kahng, Gregory Kehne
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

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