{"as_of":"2026-08-08T17:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9871e93ea9c3f57fd74eb0d89cd43da4abc7d2de02a8c9e6c8ea6e3668b53327","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:14:52.297500Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:17:32.079917Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T00:17:34.003571Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"cited_work":{"arxiv_id":"2510.17085","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.17085","snapshot_observed_at":"2026-08-06T00:17:34.003571Z","title":"Data Reliability Scoring","venue":"cs.LG","work_id":"bea79acb-14a5-496b-a6da-53e94b76ca9d","year":2025},"citing_paper":{"arxiv_id":"2608.01423","last_updated":"2026-08-02T18:10:01Z","snapshot_observed_at":"2026-08-08T02:02:15.775265Z","submitted_at":"2026-08-02T18:10:01Z","title":"Scoring Rules! Statistical and Strategic Alignment for Text Evaluation Metrics","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T00:17:32.079917Z"},"links":{"cited_paper":"/paper/2510.17085","citing_paper":"/paper/2608.01423"},"observation_digest":"sha256:66d0475d3f6ae8fb2689fd45cb3b62a8616d31f11a0a2b174a019184cc67e365","observation_id":"5b79ceab-32b3-4a65-8c89-c9ef42c9c4ac","resolution":{"observed_at":"2026-08-06T00:17:34.104020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2510.17085/citation-record","integrity":"/paper/2510.17085/integrity","json":"/paper/2510.17085/citation-record.json","paper":"/paper/2510.17085"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:44.407303Z","title":"A general class of coefficients of divergence of one distribution from another.Journal of the Royal Statistical Society: Series B (Methodological), 28(1):131–142, 1966","venue":null,"work_id":null,"year":1966},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:44.407303Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:2ae7648fcc4303ea63ba7d8394979b85701eaac670c03ca6c23b5ffa245532e8","observation_id":"2fe28c4e-8e59-4eb2-8ed8-b76c6e1b2c15","resolution":{"observed_at":"2026-08-04T09:14:44.407303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.12354","last_updated":"2022-08-25T22:07:07Z","snapshot_observed_at":"2026-07-06T13:45:34.899866Z","submitted_at":"2022-08-25T22:07:07Z","title":"Fundamentals of Task-Agnostic Data Valuation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.12354","snapshot_observed_at":"2026-08-04T09:14:44.496515Z","title":"Fundamentals of task- agnostic data valuation, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:44.496515Z"},"links":{"cited_paper":"/paper/2208.12354","citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:fd3ab2b66c114844ce2090b48d6ea520f9199fe51ab9ae8918df8ad99332bdcc","observation_id":"7180e86d-6d04-45e0-a9ae-39ecae1455f7","resolution":{"observed_at":"2026-08-04T09:14:44.496515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:44.565434Z","title":"Theory of reproducing kernels.Transactions of the American mathemat- ical society, 68(3):337–404, 1950","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:44.565434Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:9f106356278e23eb91ec45aea6dfc79bffec200daafd10afe7c933bc327a1192","observation_id":"8191337e-a133-474e-af5c-e0c55be2ce11","resolution":{"observed_at":"2026-08-04T09:14:44.565434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:44.634015Z","title":"Springer Science & Business Media, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:44.634015Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:8c463037f5f88f6e0beb308a4b5a0dabc6c0518d76d6617407ad360b62822104","observation_id":"e9439465-8086-4f56-b360-7fd845677b02","resolution":{"observed_at":"2026-08-04T09:14:44.634015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:44.787284Z","title":"Equivalent comparisons of experiments.The annals of mathematical statis- tics, pages 265–272, 1953","venue":null,"work_id":null,"year":1953},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:44.787284Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:496921b657d6bf9ce202ff7d88d34365ea4d74726f59ec81426646e90dc7f92e","observation_id":"a0f03588-6b46-47d5-a605-ad122e078ca6","resolution":{"observed_at":"2026-08-04T09:14:44.787284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:44.912479Z","title":"Anomaly detection: A survey.ACM computing surveys (CSUR), 41(3):1–58, 2009","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:44.912479Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:16809a74f58746f73feb1ea9f5de562732f03605b5735fa7b9b585d89b184e8b","observation_id":"8acfded5-b957-48d8-9d72-133a3891fe94","resolution":{"observed_at":"2026-08-04T09:14:44.912479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.047075Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.047075Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:bf38135824e89ee3af45ae4c5bd62004adb4abe218f8a1bf8f672c6c5a0a3aca","observation_id":"9f347d4b-bc08-4e27-a6e7-08d56d152abe","resolution":{"observed_at":"2026-08-04T09:14:45.047075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.175285Z","title":"Informational substitutes","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.175285Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:212f02925df15e8db600da0464c38bf735121eda3ebae495ec171a9ca6752b36","observation_id":"cb7f5c42-e77e-4477-956c-9d3410bc4715","resolution":{"observed_at":"2026-08-04T09:14:45.175285Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.326788Z","title":"Dennis Cook and Sanford Weisberg","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.326788Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:1bb953996d9423ad214d92596ccbadb4c8fa954c1d28725f964e3994e93e6ca2","observation_id":"ec6c7089-d9d9-4750-abeb-b8b51c755cb4","resolution":{"observed_at":"2026-08-04T09:14:45.326788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.444135Z","title":"Eine informationstheoretische ungleichung und ihre anwendung auf beweis der ergodizitaet von markoffschen ketten.Magyer Tud","venue":null,"work_id":null,"year":1964},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.444135Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:b09267a549ddfe3711f49890392b1b0a887f78fc620b984ced85f32992ff22a1","observation_id":"c23fafe0-f425-4284-826b-00e3dd9b520a","resolution":{"observed_at":"2026-08-04T09:14:45.444135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.595064Z","title":"A class of measures of informativity of observation channels.Periodica Mathe- matica Hungarica, 2(1-4):191–213, 1972","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.595064Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:7e1d9d293b61ad8779dc08f91e21907445cb400459afdaf4e6730043dfb83aa6","observation_id":"ff8476b2-4ad9-473b-be68-e6338bf04351","resolution":{"observed_at":"2026-08-04T09:14:45.595064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.728649Z","title":"Crowdsourced judgement elicitation with endogenous proficiency","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.728649Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:33c187f2403aea57704cd6b2b71f14f0e2c8f22b0bfbbe9d61a03b20f64eee47","observation_id":"8357accd-c72b-44b5-b9fb-aae283d16687","resolution":{"observed_at":"2026-08-04T09:14:45.728649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:45.895661Z","title":"Vector-valued property elicitation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:45.895661Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:1def8ffe54e4776bec18c3df4b0ee81665e092ca01474341a1635f99909bbae6","observation_id":"dbaeb501-3335-4da7-8db3-0b68650c67f9","resolution":{"observed_at":"2026-08-04T09:14:45.895661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.053583Z","title":"Data shapley: Equitable valuation of data for machine learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.053583Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:b3117db5530d6a125b7053a0e35534ccd39d77d3331f313b7b6849f0b1209e24","observation_id":"e3a30daf-a7bb-4dd9-8bcb-d8f1bd88fec0","resolution":{"observed_at":"2026-08-04T09:14:46.053583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.159333Z","title":"Academic Press, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.159333Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:4062bb4e167487a54a1d3e080a18c48e309afb3bf74850ee1ac56070ff2e4da7","observation_id":"cd22b804-e9e7-4bf7-bffa-fc935d388865","resolution":{"observed_at":"2026-08-04T09:14:46.159333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.282254Z","title":"Strictly proper scoring rules, prediction, and estima- tion.Journal of the American statistical Association, 102(477):359–378, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.282254Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:f051170331b4e0ab9f0adee1f03cf59d1d8027025b494df7cc0aadff8029f2a5","observation_id":"d09f143f-d722-4569-a361-48d5b82948cf","resolution":{"observed_at":"2026-08-04T09:14:46.282254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.381002Z","title":"Error detecting and error correcting codes.The Bell system technical journal, 29(2):147–160, 1950","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.381002Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:a66b3a65e5fda8293e9a1c31fc04dc46cea2fe24cae7d555fa4b8e36aacbb98b","observation_id":"d725a9c0-b814-47f4-accd-6030fc5799a2","resolution":{"observed_at":"2026-08-04T09:14:46.381002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.482592Z","title":"Cambridge university press, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.482592Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:08562f44ee111e1788e1b0ae0388f76ad3bae802e9de10efbbaed1927b372301","observation_id":"13059263-65fd-438e-9f9b-f0654026582f","resolution":{"observed_at":"2026-08-04T09:14:46.482592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.566413Z","title":"Information value theory.IEEE Transactions on systems science and cybernetics, 2(1):22–26, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.566413Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:568a7b01c729b803f587877f9c8eb3b5a588b24713296c7d1078f0b1127bad70","observation_id":"60789b24-dcb0-4108-a16e-76635dcf89e8","resolution":{"observed_at":"2026-08-04T09:14:46.566413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.721318Z","title":"When are the inverses of stochastic matrices also stochastic matrices? Mathe- matics Stack Exchange","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.721318Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:c89020a367d3a9590fa7e37e67e6bb924cca0c1060fd3489c152075ec7e6c9f2","observation_id":"1be4499d-829c-4c9d-a3a2-4f31586eaa25","resolution":{"observed_at":"2026-08-04T09:14:46.721318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:46.866458Z","title":"John Wiley & Sons, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.866458Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:4161c69f1d69341e98ff0d69f8254a43cfc5e672a882391813147ba31088325e","observation_id":"a35b744b-40df-41fc-87b3-6a0a76785f6b","resolution":{"observed_at":"2026-08-04T09:14:46.866458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1105.0437","last_updated":"2011-05-02T20:44:20Z","snapshot_observed_at":"2026-08-05T20:25:47.509221Z","submitted_at":"2011-05-02T20:44:20Z","title":"Determinant Approximations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1105.0437","snapshot_observed_at":"2026-08-04T09:14:46.995824Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:46.995824Z"},"links":{"cited_paper":"/paper/1105.0437","citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:40868186646157a54c9bd6099755b2c1f8eb94a8394e30211535b323ffecc1f4","observation_id":"e0195173-5217-46e2-a1bd-626f8c0d7f82","resolution":{"observed_at":"2026-08-04T09:14:46.995824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:47.180119Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:47.180119Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:aa34eca5d7b3d655cdafa77a10d84861a7c1a6b3203bd49d1affdd381f3e0333","observation_id":"cb3d07e9-66cf-4db3-81e3-bae49c45f48c","resolution":{"observed_at":"2026-08-04T09:14:47.180119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:47.300297Z","title":"The selection of prior distributions by formal rules","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:47.300297Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:5c943584c76b0e5492df6e8e94ee38645d8a1cd522937b9889c5daa40f78e122","observation_id":"a8ffc19a-fb95-47f9-973e-603989039531","resolution":{"observed_at":"2026-08-04T09:14:47.300297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:47.468890Z","title":"Kim and Eugene H","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:47.468890Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:75c8a0b4565419c69e0e14463ce3e6d94a73aa0f16dddbce14d493b135da3168","observation_id":"554e65ea-66cf-424a-8aad-e55ba05e9644","resolution":{"observed_at":"2026-08-04T09:14:47.468890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:47.620045Z","title":"Understanding black-box predictions via influence functions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:47.620045Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:c4d45d883792927cc9a605f4a830e50a8722ee9b188251ea4e6fa77526acdd45","observation_id":"66b13b51-ec53-49ef-be79-014ab991f896","resolution":{"observed_at":"2026-08-04T09:14:47.620045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:47.964654Z","title":"Dominantly truthful multi-task peer prediction with a constant number of tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:47.964654Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:6f6a588630071234f8073b5566e004c6b3c0bf63ab2a79056ea843a0356abc0d","observation_id":"31fab158-406b-40a8-bfda-f0d2500cd39d","resolution":{"observed_at":"2026-08-04T09:14:47.964654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3638239","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dominantly truthful peer prediction mechanisms with a finite number of tasks","venue":"Journal of the ACM","work_id":"9215f473-0692-4d26-8114-7b0993887d4b","year":2024},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.082262Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:133d5cbc869c87cb70156730f9e09461f283c7a617c73e9937ae4e6acb5b8248","observation_id":"64769621-2ef4-4684-afc9-a76786cd0de8","resolution":{"observed_at":"2026-08-04T09:19:40.914307Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.182639Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.182639Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:33c7b6f6f178f8effa69fcb3998cafe7ec4c79083758fa9b02383723899c3a85","observation_id":"9f2e566d-a1a1-4a9f-92a8-1b86aedee8f1","resolution":{"observed_at":"2026-08-04T09:14:48.182639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.246454Z","title":"On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951","venue":null,"work_id":null,"year":1951},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.246454Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:79b11a9836ae2c5b3b852c5673761a69275b59f28242567ec6df5288ea6d83d3","observation_id":"b4dcf309-32b0-4c53-a253-4c2ab2733f5b","resolution":{"observed_at":"2026-08-04T09:14:48.246454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.340358Z","title":"Eliciting properties of probability distributions","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.340358Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:c900b8933f348692e7d7277a64cc8270363b88fbcaf2ededb88c1977a200da21","observation_id":"cd7f5f71-59e7-48b8-a8dc-dd736ccb0681","resolution":{"observed_at":"2026-08-04T09:14:48.340358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.09158","last_updated":"2020-06-07T01:40:08Z","snapshot_observed_at":"2026-08-03T12:12:29.410224Z","submitted_at":"2018-02-26T04:52:48Z","title":"Surrogate Scoring Rules","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.09158","snapshot_observed_at":"2026-08-04T09:14:48.423365Z","title":"Surrogate scoring rules and a dominant truth serum for information elicitation.CoRR, abs/1802.09158, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.423365Z"},"links":{"cited_paper":"/paper/1802.09158","citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:947376357ce81594e558883a1bed9b0c5beffbfa8034c2a8b5229769564d68c3","observation_id":"71263b7b-7de3-4e52-8379-1777ac751ecc","resolution":{"observed_at":"2026-08-04T09:14:48.423365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.516717Z","title":"Peer loss functions: Learning from noisy labels without knowing noise rates","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.516717Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:6ca938db0be0963dcebf05d44000ddb7bcdda639fd7ad79966d358077575e164","observation_id":"31465390-0010-4d79-b07c-3257d4ebc936","resolution":{"observed_at":"2026-08-04T09:14:48.516717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.601981Z","title":"John Wiley & Sons, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.601981Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:efd41ae3bef805991febb0eb4d2022482d72fe7c526e748eb8fd509de2140b98","observation_id":"9198bd5f-84a4-4b75-9c38-293c173849f4","resolution":{"observed_at":"2026-08-04T09:14:48.601981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.667498Z","title":"Miller, P","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.667498Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:6e9e423d87d648c25c9162add44e1371af23f63ebfa8862355068edfa9a62f88","observation_id":"875d1d4e-30e7-482b-87e9-69ffbbd4848d","resolution":{"observed_at":"2026-08-04T09:14:48.667498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1143/jpsj.18.328","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Markov processes and the h-theorem.Journal of the Physical Society of Japan, 18(3):328–331, 1963","venue":"Journal of the Physical Society of Japan","work_id":"c9c96624-6bfc-485a-abe2-a5ae0627fed6","year":1963},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.751042Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:6bdc4802133ba9cb091d37525faae69683cb6448c179f9fffa796b7f637ff1ee","observation_id":"74f722f4-6e50-4522-9fda-eb80aede6fc0","resolution":{"observed_at":"2026-08-04T09:19:40.632141Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.826262Z","title":"Learning with noisy labels.Advances in neural information processing systems, 26, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.826262Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:6d63bda760d44912e8ac6b43d0481020a78ed2954a88141ffc01e9dcfe3dd1a9","observation_id":"f494f9ee-a303-4a61-bbd9-50c70094db27","resolution":{"observed_at":"2026-08-04T09:14:48.826262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:48.942232Z","title":"University of California, Berkeley, 1985","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:48.942232Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:1868aa5fb9c89045e43d298226a52900f6c6a76ebf99bf6e4efbe2a1e02d82c3","observation_id":"7767f1e5-312f-46a9-8d2d-afa576c871d0","resolution":{"observed_at":"2026-08-04T09:14:48.942232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.016865Z","title":"Optimum bounds for the distributions of martingales in banach spaces.The Annals of Probability, pages 1679–1706, 1994","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.016865Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:53256d9583575dd7c4cdf28ee2102c10cb85445505caaa7c33d453409e23819c","observation_id":"f63b5b91-3461-4040-869a-3ab2e89dadf5","resolution":{"observed_at":"2026-08-04T09:14:49.016865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.090726Z","title":"A survey of data quality requirements that matter in ml development pipelines.ACM Journal of Data and Information Quality, 15 (2):1–39, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.090726Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:4ec2fb2e3bac6b00ed6d55ccb86cdd6ddb0d70527c7bc30abf6f761c925965a3","observation_id":"f9499945-f303-47f8-91be-7f0b00e5b4ff","resolution":{"observed_at":"2026-08-04T09:14:49.090726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.165544Z","title":"Bureau of Labor Statistics","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.165544Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:8f9021986ece038a207fbc96aca65f632fe2785495306745dffba001845aa040","observation_id":"22b4c94b-6a01-46af-b738-b5b141bc81a4","resolution":{"observed_at":"2026-08-04T09:14:49.165544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.255972Z","title":"Federal Tax Deposits (Table IV)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.255972Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:9d1884454678aa47e997635573e7f5554bf1e806f8cc87736835ce968a99310e","observation_id":"ccd6a4d0-f428-48da-947c-09d80ef16d67","resolution":{"observed_at":"2026-08-04T09:14:49.255972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.361356Z","title":"Is the determinant the only group homomorphism fromGL n(R) to R×? Mathematics Stack Exchange","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.361356Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:7c6e65b7b80103c3ecd3162c44bbf92b706d755fad22fb6156cbaea990a42f55","observation_id":"17e32bc5-3ab5-4252-80d7-d58be499ebee","resolution":{"observed_at":"2026-08-04T09:14:49.361356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.447272Z","title":"Beyond accuracy: What data quality means to data consumers.Journal of management information systems, 12(4):5–33, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.447272Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:f4b219a2422b0efd374f2b50c9f33dad095d8fcd057ef5b2d2d68b031be837a9","observation_id":"02927e2a-c5f3-4972-8ef9-1ff9fa825774","resolution":{"observed_at":"2026-08-04T09:14:49.447272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.495593Z","title":"L dmi: A novel information-theoretic loss function for training deep nets robust to label noise.Advances in neural information processing systems, 32, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.495593Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:b31c8fdcc79d660d947dbb7cd9692d2778bcbfae5e50cc66c8abbd1c62e86067","observation_id":"45edd259-f376-4c39-8739-932a3591388a","resolution":{"observed_at":"2026-08-04T09:14:49.495593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.592710Z","title":"Barlow twins: Self- supervised learning via redundancy reduction, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.592710Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:0109bcb179737bfadd4c06467ae2088948d467490d30847f5eaba241ebadb9c5","observation_id":"80da4eb5-67dd-45d5-acde-12e78a2fb0ff","resolution":{"observed_at":"2026-08-04T09:14:49.592710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.03176","last_updated":"2021-06-06T16:48:42Z","snapshot_observed_at":"2026-08-05T21:42:12.283853Z","submitted_at":"2021-06-06T16:48:42Z","title":"The Limits of Multi-task Peer Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03176","snapshot_observed_at":"2026-08-04T09:14:49.687729Z","title":"The limits of multi-task peer prediction.CoRR, abs/2106.03176, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.687729Z"},"links":{"cited_paper":"/paper/2106.03176","citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:b9cb1b5406eeac4be246a94b3bfbe0a8927c7074ae86587a1fe4f50da8c66633","observation_id":"67e9e500-3965-4c1b-b469-f468f6f26e3c","resolution":{"observed_at":"2026-08-04T09:14:49.687729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18253","last_updated":"2025-05-29T13:24:44Z","snapshot_observed_at":"2026-07-06T18:21:22.569625Z","submitted_at":"2024-05-28T15:04:17Z","title":"Proper Dataset Valuation by Pointwise Mutual Information","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18253","snapshot_observed_at":"2026-08-04T09:14:49.768914Z","title":"Proper dataset valuation by pointwise mutual information, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.768914Z"},"links":{"cited_paper":"/paper/2405.18253","citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:4f7fa1e70992904d4f37116494414346c6e63b1baddd05131be6dbf033ab58fe","observation_id":"cd0f758c-fe16-45ee-8ef3-1bc8287e8147","resolution":{"observed_at":"2026-08-04T09:14:49.768914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.871385Z","title":"Characteristic kernels on hilbert spaces, banach spaces, and on sets of measures, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.871385Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:5d627d4100336c67513b9170bc1b81f33c87a6a1ba78bf40e50ca1d919c5c16d","observation_id":"3e2461e1-acae-41f8-a821-c3974bbdcd7b","resolution":{"observed_at":"2026-08-04T09:14:49.871385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:49.943804Z","title":"Zou and Ryan P","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:49.943804Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:52f7c241286f94e3b9bc90b658e94e1631308aaca6a6cbac2ac87e1e164d1737","observation_id":"6278d392-283d-489e-957f-510886b57006","resolution":{"observed_at":"2026-08-04T09:14:49.943804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:50.055371Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:50.055371Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:c6f1631444edd35a90f820f21e8d08e0ee954ca98415542869d717fdedb396ee","observation_id":"a4d45ae3-f104-4309-ba1b-9e10abf59786","resolution":{"observed_at":"2026-08-04T09:14:50.055371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:50.158627Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:50.158627Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:7d3957e160d123194579ae95c6c465438e64fd943922ad276c431c648f6e3872","observation_id":"768651d3-3c7b-41af-8e48-3af789ee68ed","resolution":{"observed_at":"2026-08-04T09:14:50.158627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:50.321445Z","title":"Next, we show that the reliability orderings defined in Section 2 form a strict partial order over reports, given a fixed true data","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:50.321445Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:3a23d25538daccaceb99d4a7d64f2bc41faeb5a4c7276b52c423333ff91779c3","observation_id":"11f6655f-1960-4f55-a976-0d0ec5cd62a0","resolution":{"observed_at":"2026-08-04T09:14:50.321445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:50.466862Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:50.466862Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:8ce1d838e8c629d8573ce274d5f6bd335d35e72990484b3078f231e3632994a8","observation_id":"f4218828-de48-489a-b61c-b58ab35a57ff","resolution":{"observed_at":"2026-08-04T09:14:50.466862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:50.611691Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:50.611691Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:ad91d16e02a331a71765da6c6e45786ed2a18868c9e54c92bd2b54d8fd3138fd","observation_id":"7eb41e95-c1b6-4bec-ba66-a79f14c2febc","resolution":{"observed_at":"2026-08-04T09:14:50.611691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:50.859935Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:50.859935Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:9bf632271be9deb0f6300acff06a1d4144371321ffc5e2425bca21a1f49dc2fe","observation_id":"f085d9d1-278a-4c47-aafb-9f50ecd32dd0","resolution":{"observed_at":"2026-08-04T09:14:50.859935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.068002Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.068002Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:521e58f0346ee7a0336ab4d31e28414013c684844c02dd43b573aa8a3e58df66","observation_id":"cca48313-b203-4b0c-82c6-a8a4605ff6d4","resolution":{"observed_at":"2026-08-04T09:14:51.068002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.205097Z","title":"Finally, note that we can easily generalize this construction beyond three dimensions by padding the other dimension with identity","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.205097Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:7ddb0db4df962d54e5ea27cf9c07a2619ad66d5ea07f0047ec21b71e0a7f78f0","observation_id":"2f14d913-c35d-4e3f-852c-74026d8c58c1","resolution":{"observed_at":"2026-08-04T09:14:51.205097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.331245Z","title":"Hence, with Eq","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.331245Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:549a4f0a9519ba16af13081bf8dd7a9d40caeee8eb9019a7867a2197c538a766","observation_id":"a6cc9d02-274c-4ace-ad4a-4ad0e76b0146","resolution":{"observed_at":"2026-08-04T09:14:51.331245Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.466276Z","title":"Moreover, delta kernel is injective, so the statement also holds","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.466276Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:28219204325da5dbb36258991535ac8d1b81264fab82adbd75babbd3ca9fa958","observation_id":"358af2d1-1c41-4b3d-b683-a975fe08212d","resolution":{"observed_at":"2026-08-04T09:14:51.466276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.607673Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.607673Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:3a9f637efbad26d345d0f94e9de18e002db5d4b81f8180ed78e4304db74d79f3","observation_id":"b5a3f0ef-098b-46e2-ae2e-f10b48c8c5b3","resolution":{"observed_at":"2026-08-04T09:14:51.607673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.730533Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.730533Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:54df3c88008286cc0a536e3bf65af764906d6d9af5ec97926507517295672df2","observation_id":"d4e8a314-de4d-4df2-a9f8-42f9c7c0931d","resolution":{"observed_at":"2026-08-04T09:14:51.730533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:51.903585Z","title":"10P/Qis the Radon-Nikodym derivative between measuresPandQ, and it is equal to the ratio of density function","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:51.903585Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:ff35ed01edcb1e35c88326d6c293066783b94f0d5dbb05394c491db83cc4cf72","observation_id":"002d4b5b-b130-4023-b0ed-a451af4adbe7","resolution":{"observed_at":"2026-08-04T09:14:51.903585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:52.033905Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:52.033905Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:cfbb37b83a46eb0a2ffb3a9a3fb6fdf80dd90539d116c1f19e6c74f752bd1e0d","observation_id":"6fe623e9-8a17-432c-8f0d-268ebfd1f4e6","resolution":{"observed_at":"2026-08-04T09:14:52.033905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:52.148281Z","title":"The maximum correlation can be also written as max (f,g)∈S E[f(x)g(y)] whereSis the collection of real-valued random variables so thatEf(x) =Eg(y) = 0 and Ef(x) 2 =Eg(y) 2 = 1","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:52.148281Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:3342de52d4600c923b61f4012ffabdcfe537687b1098ee3de1e8565b2ad21589","observation_id":"61caf58e-dbe5-4c6c-ba17-b80bf3728509","resolution":{"observed_at":"2026-08-04T09:14:52.148281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:52.297500Z","title":"experiment-agnostic","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:52.297500Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:5891c831ff4c4596cb2281cf78864ee5998a7f2d6de516d19529abf41e1daa1e","observation_id":"19f0676c-356f-4597-aef6-c2190462c036","resolution":{"observed_at":"2026-08-04T09:14:52.297500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T09:14:47.798725Z","title":"URLhttps://proceedings.mlr.press/v70/koh17a.html","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring","version":2},"reference_index":1894,"source":"pdf_text","source_observed_at":"2026-08-04T09:14:47.798725Z"},"links":{"citing_paper":"/paper/2510.17085"},"observation_digest":"sha256:9215152cd41f32328512f63285e2385165ed38cd8c6b1edfdf10f40cfaea55b8","observation_id":"0814e6f8-2a81-4b6d-8af0-8d28a8f63265","resolution":{"observed_at":"2026-08-04T09:14:47.798725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.17085","last_updated":"2026-07-20T18:11:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T16:47:10.190877Z","submitted_at":"2025-10-20T01:27:59Z","title":"Data Reliability Scoring"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":63,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":67},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2510.17085."}