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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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Chaos-based Image/Signal Encryption
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
aboutaboutness

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 3 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.

affunlabeled
Steps towards improving the security of chaotic encryption
Blair Fraser, Pei Yu, Turab Lookman
2002· article· en· Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Progress in Cryptology - LATINCRYPT 2014
Diego F. Aranha, Alfred Menezes
2015· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
FPGA based simple and fast JPEG encryptor
Bhaskar Kishore, B. K. Shreyamsha Kumar, Chidamber R. Patil
2012· article· en· Journal of Real-Time Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Behavior of the Laplacian of Gaussian Extrema
Salvatore Tabbone, Laurent Alonso, Djemel Ziou
2005· article· en· Journal of Mathematical Imaging and Vision· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Analysis and Design of Affine and Hill Cipher
Mojgan Mokhtari, Hassan Naraghi
2012· article· en· Journal of Mathematics Research· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Uniform random number generators
Pierre L’Ecuyer
2002· article· en· 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274)· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Cryptanalysis of “MAKE”
Daniel R. L. Brown, Neal Koblitz, Jason T. LeGrow
2022· article· en· Journal of Mathematical Cryptology· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Trusted Third Party
Carlisle Adams
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Public Key Cryptography
Christiane Rousseau, Yvan Saint-Aubin
2008· book-chapter· en· Springer undergraduate texts in mathematics and technology· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
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
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How this was built: Screen · Findings · About