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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 VLDB Endowment
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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.

329 results · 1 filter active ·
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20082025
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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.
329 works in the cohort · of 4,299,418page 6 of 7

Labels cover 0 of 329 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 329 of 329 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
ActiveDeeper
Liang Zhao, Qingcan Li, Pei Wang, Jiannan Wang, Eugene Wu
2020· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Making an RDBMS data scientist friendly
Joseph Vinish D'silva, Florestan De Moor, Bettina Kemme
2019· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
GALO
Guilherme Damasio, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta +1 more
2019· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Optimizing Video Queries with Declarative Clues
Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu
2024· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
MOSER: Scalable Network Motif Discovery Using Serial Test
Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan
2023· article· en· Proceedings of the VLDB Endowment· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
MIDE
Sameera Ghayyur, Dhrubajyoti Ghosh, Xi He, Sharad Mehrotra
2022· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
3
citations
affunlabeled
Peer coordination through distributed triggers
Verena Kantere, Maher Manoubi, Iluju Kiringa, Timos Sellis, John Mylopoulos
2010· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
LES <sup>3</sup>
Yifan Li, Xiaohui Yu, Nick Koudas
2021· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The future of data(base) education
Zachary G. Ives, Rachel Pottinger, Arun Kumar, Johannes Gehrke, Jana Giceva
2021· article· en· Proceedings of the VLDB Endowment· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
QUICK
Jeffrey Pound, Ihab F. Ilyas, Grant Weddell
2010· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Sphinx: A Succinct Perfect Hash Index for x86
Sajad Faghfoor Maghrebi, Niv Dayan
2025· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
POEM
Vargha Dadvar, Lukasz Golab, Divesh Srivastava
2022· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Differentially Private Data Generation with Missing Data
Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
2024· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
2
citations
affunlabeled
Time for our field to grow up
Anastassia Ailamaki, Laura M. Haas, H. V. Jagadish, David Maier, M. TAMER ÖZSU, Marianne Winslett
2010· article· en· Proceedings of the VLDB Endowment· Decision Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
SmartBench
Abdelghny Orogat, Ahmed El-Roby
2022· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
ApproxML
Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas +1 more
2019· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Making CRDTs Not So Eventual
Yunhao Mao, Gengrui Zhang, Zongxin Liu, Pezhman Nasirifard, Sofia Tijanic, Hans‐Arno Jacobsen
2024· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
CERTEM
Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava
2022· article· en· Proceedings of the VLDB Endowment· Decision Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
VISE
Hyewon Choi, Erkang Zhu, Arsala Bangash, Renée J. Miller
2019· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
MEET DB2
Reynold Xin, William McLaren, Patrick Dantressangle, Steve Schormann, Sam Lightstone, Maria Schwenger
2010· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

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