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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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Chaos-based Image/Signal Encryption
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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
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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.

481 results · 1 filter active ·
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20002025
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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.
481 works in the cohort · of 4,299,418page 4 of 10

Labels cover 1 of 481 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 481 of 481 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.

affno abstractunlabeled
Chaos-based image encryption
Sezgin Kaçar, Ünal Çavuşoğlu, Hadi Jahanshahi
2024· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Arithmetic operators for on-the-fly evaluation of TRNGs
Renaud Santoro, Arnaud Tisserand, Olivier Sentieys, Sébastien Roy
2009· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Random Numbers from a Delay Equation
Julian Self, Michael C. Mackey
2016· article· en· Journal of Nonlinear Science· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Two New Secret Key Cryptosystems
Henk Meijer, Selim G. Akl
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Selected Areas in Cryptography
Benjamin Smith, Huapeng Wu
2024· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Multi-service Oriented Broadcast Encryption
Shaoquan Jiang, Guang Gong
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Image Encryption Based on Matrix Factorization
Vivek P Khalane, S. R. Suralkar, Umesh S. Bhadade
2020· article· en· International Journal of Safety and Security Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Postquantum Cryptography, Part 2
Johannes Buchmann, Kristin Lauter, Michele Mosca
2018· article· en· IEEE Security & Privacy· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About