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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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Blockchain Technology Applications and Security
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,298 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.
2,298 works in the cohort · of 4,299,418page 21 of 46

Labels cover 6 of 2,298 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 2,298 of 2,298 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
The Arrival of Zero Trust
Michael Loftus, Andrew Vezina, Rick Doten, Atefeh Mashatan
2023· article· en· Communications of the ACM· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
6
citations
affno abstractunlabeled
Revisiting FAW attack in an imperfect PoW blockchain system
Haoran Zhu, Xiaolin Chang, Jelena Mišić, Vojislav B. Mišić, Runkai Yang
2022· article· en· Peer-to-Peer Networking and Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Phantom Liquidity in Decentralized Lending
Andreas Park, Jona Stinner
2023· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Intraday and daily dynamics of cryptocurrency
Joann Jasiak, Cheng Zhong
2024· article· en· International Review of Economics & Finance· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Incentives to Engage Blockchain and Ecosystem Actors
Mohan Tanniru, Jianyu Niu, Chen Feng, Cláudio Gottschalg Duque, Chang Lu, Harish Krishnan
2021· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affno abstractunlabeled
Loyalty Points on the Blockchain
Dhwani Agrawal, Natália Natália, Gajane Gopalakrishnan, Margaret Natalie Guzman, Michael D. McDonald, Henry Kim
2018· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Blockchain Landscape and AI Renaissance
Hans‐Arno Jacobsen, Mohammad Sadoghi, Mohammad Hossein Tabatabaei, Roman Vitenberg, Kaiwen Zhang
2018· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Collapsing bubbles in the prices of cryptocurrencies
Chiara Oldani, Giovanni S. F. Bruno, Marcello Signorelli
2025· article· en· The Journal of Economic Asymmetries· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About