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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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Distributed systems and fault tolerance
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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
fundfunder
venuejournal
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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.

1,063 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.
1,063 works in the cohort · of 4,299,418page 5 of 22

Labels cover 3 of 1,063 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 1,063 of 1,063 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
On Model-Checking Optimistic Replication Algorithms
Hanifa Boucheneb, Abdessamad Imine
2009· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
14
citations
affunlabeled
Detecting deadlock in programs with data-centric synchronization
Daniel Marino, Christian Hammer, Julian Dolby, Mandana Vaziri, Frank Tip, Jan Vítek
2013· article· en· 2013 35th International Conference on Software Engineering (ICSE)· Computer Science
distilled prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
DBFarm: A Scalable Cluster for Multiple Databases
Christian Plattner, Gustavo Alonso, M. TAMER ÖZSU
2006· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
13
citations
affno abstractunlabeled
Linearizability Is Not Always a Safety Property
Rachid Guerraoui, Eric Ruppert
2014· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
13
citations
affunlabeled
Melange
Anil Madhavapeddy, Alex Ho, Tim Deegan, David Scott, Ripduman Sohan
2007· article· en· ACM SIGOPS Operating Systems Review· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Inductive data flow graphs
Azadeh Farzan, Zachary Kincaid, Andreas Podelski
2013· article· en· ACM SIGPLAN Notices· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
13
citations
affunlabeled
Characterising Concurrent Histories
Ryszard Janicki, Jetty Kleijn, Maciej Koutny, Łukasz Mikulski
2015· article· en· Fundamenta Informaticae· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
The Bionic DBMS is Coming, but What Will It Look Like?
Ryan Johnson, Ippokratis Pandis
2013· article· en· Infoscience (Ecole Polytechnique Fédérale de Lausanne)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
12
citations
affunlabeled
Putting events in context
Adrian Holzer, Lukasz Ziarek, K. R. Jayaram, Patrick Eugster
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
A queue based mutual exclusion algorithm
Alex Aravind, Wim H. Hesselink
2008· article· en· Acta Informatica· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
The Fault-Tolerant Cluster-Sending Problem
Jelle Hellings, Mohammad Sadoghi
2022· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_scienceconsensus · none
12
citations
affno abstractunlabeled
Upper Bounds for Boundless Tagging with Bounded Objects
Zahra Aghazadeh, Philipp Woelfel
2016· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
12
citations
afffundunlabeled
Revisionist Simulations
Faith Ellen, Rati Gelashvili, Leqi Zhu
2018· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Be my guest
Tianzheng Wang, Milind Chabbi, Hideaki Kimura
2016· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affunlabeled
What scientific applications can benefit from hardware transactional memory?
Martin Schindewolf, Barna Biliari, John C. Gyllenhaal, Martin Schulz, Amy Wang, Wolfgang Karl
2012· article· en· 2012 International Conference for High Performance Computing, Networking, Storage and Analysis· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
12
citations
affno abstractunlabeled
Building Parallel Applications Using Design Patterns
Dhrubajyoti Goswami, Ajit Singh, Bruno R. Preiss
2002· book-chapter· en· Advances in Software Engineering· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
11
citations
fundno affno abstractunlabeled
On the expressivity of time-varying graphs
Arnaud Casteigts, Paola Flocchini, Emmanuel Godard, Nicola Santoro, Masafumi Yamashita
2015· article· en· Theoretical Computer Science· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations

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