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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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Advanced Malware Detection Techniques
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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.

977 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.
977 works in the cohort · of 4,299,418page 11 of 20

Labels cover 1 of 977 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 977 of 977 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Are apps ready for new Android releases?
Demetrio Guilardi, Jalves Nicácio, Bianca Minetto Napoleão, Fábio Petrillo
2020· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Darwinian malware detectors
Zachary Wilkins, A. Nur Zincir‐Heywood
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Designing UIs for Static Analysis Tools
Daniil Tiganov, Lisa Nguyen Quang, Karim Ali
2021· article· en· Queue· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Ransomware Analysis
Xiaodong Lin
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Evaluating the Java Native Interface (JNI)
Stelios Sotiriadis, Oladotun Omosebi, Assem Ayapbergenova, Nurbek Saparkhojayev
2018· article· en· International Journal of Distributed Systems and Technologies· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Flamingo
Md Shahrear Iqbal, Mohammad Zulkernine
2017· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
DryJIN: Detecting Information Leaks in Android Applications
Minseong Choi, Yubin Im, Steve Ko, Yonghwi Kwon, Yuseok Jeon, Haehyun Cho
2024· book-chapter· en· IFIP advances in information and communication technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
WaveAtlas: surfing through the landscape of current malware packers
Joan Calvet, Lalonde Fanny, José M. Fernandez, Jean-Yves Marion, Traourouder Erwann, François Menet
2015· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affno abstractunlabeled
Android Malware Fingerprinting Using Dynamic Analysis
ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb
2021· book-chapter· en· Advances in information security· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations

How this was built: Screen · Findings · About