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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.

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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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Web Application Security Vulnerabilities
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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.

148 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.
148 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 148 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 148 of 148 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
Mitigating program security vulnerabilities
Hossain Shahriar, Mohammad Zulkernine
2012· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
129
citations
affunlabeled
SOMA
Terri Oda, Glenn Wurster, Paul C. van Oorschot, Anil Somayaji
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Threat Modeling for CSRF Attacks
Xiaoli Lin, Pavol Zavarsky, Ron Ruhl, Dale Lindskog
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Cookies lack integrity: real-world implications
Xiaofeng Zheng, Jian Jiang, Jinjin Liang, Haixin Duan, Shuo Chen, Tao Wan +1 more
2015· article· en· USENIX Security Symposium· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
JavaScript: The (Un)Covered Parts
Amin Milani Fard, Ali Mesbah
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Data recovery for web applications
İstemi Ekin Akkuş, Ashvin Goel
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
LLM-Powered Static Binary Taint Analysis
Puzhuo Liu, C. P. Sun, Yaowen Zheng, Chuan Qin, Y. F. Wang, Zhenyang Xu +4 more
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
A Study of the Effectiveness of CSRF Guard
Bo‐Yan Chen, Pavol Zavarsky, Ron Ruhl, Dale Lindskog
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Securing APIs and Chaos Engineering
Salah Sharieh, Alexander Ferworn
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Developing a Secure Web Application Using OWASP Guidelines
Khairul Anwar Sedek, Norlis Osman, Mohd Nizam Osman, Hj. Kamaruzaman Jusoff
2009· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
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