{"as_of":"2026-08-19T17:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dcbbb3ed01ffb72327d77295d3c7cd9d019fbc0e0581ceaa83630527f0f7d5f1","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:44:33.653815Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.10154/citation-record","integrity":"/paper/2507.10154/integrity","json":"/paper/2507.10154/citation-record.json","paper":"/paper/2507.10154"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.488765Z","title":"In: International conference on machine learning","venue":null,"work_id":"b52fb814-0147-4e24-9b79-5a3d42516bc6","year":2018},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.160574Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:7366d16166f6e79c15604b8999120e0d578c94a527f5f28aca5bd6b42fb1b883","observation_id":"d5c57d3a-4dd1-40a1-ba90-92b798861e1b","resolution":{"observed_at":"2026-08-06T17:44:34.492645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.01943","last_updated":"2018-10-03T20:18:35Z","snapshot_observed_at":"2026-08-15T15:45:11.408343Z","submitted_at":"2018-10-03T20:18:35Z","title":"AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.01943","snapshot_observed_at":"2026-08-06T17:44:32.199994Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.199994Z"},"links":{"cited_paper":"/paper/1810.01943","citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:80c4465f724b5fd2b09258035a968b85815f64bbc3e6b506435cd5f5276acf12","observation_id":"dba732ea-63df-4d44-95e8-4228b625752d","resolution":{"observed_at":"2026-08-06T17:44:32.199994Z","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":"2026-08-06T17:44:32.269422Z","title":"https://doi.org/10.1073/pnas.082080899, https://www.pnas","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.269422Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:2c945a2ec6b07b6549391bca224f315780a4b7cdcd8174023df35276a7336067","observation_id":"8df529a7-318e-4cd7-b554-8fb153b36366","resolution":{"observed_at":"2026-08-06T17:44:32.269422Z","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":"2026-08-06T17:44:32.327197Z","title":"In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.327197Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:7090f7e8ca5da844b47f38122eb8b839f5c3dce0dcff3e21bee8051cda4b5fc3","observation_id":"c7b1f458-e632-47cc-806b-45cd9b3cd2cd","resolution":{"observed_at":"2026-08-06T17:44:32.327197Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.471429Z","title":"Annual Review of political science 17(1), 1–20 (2014) 14 Ricardo Inácio, Zafeiris Kokkinogenis, Vitor Cerqueira, and Carlos Soares","venue":null,"work_id":"d54e63d6-8611-42b8-a548-b72960aefbca","year":2014},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.393332Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:04f7c54af2aa776099bc9280e9582993071839f194d6974fd306e09e284d903c","observation_id":"a949894a-0470-4292-97f6-28912352ffe8","resolution":{"observed_at":"2026-08-06T17:44:34.476207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.460064Z","title":"Brookings Institution Press (1996)","venue":null,"work_id":"b167b373-0e1b-46af-b13f-8050918947b1","year":1996},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.481730Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:af240dbd1de9c0d99faa6ed5be467a619e86522625d5350d9efc6bdb152f7fd0","observation_id":"dd2939eb-44df-407a-8bfc-fa32cb29deaf","resolution":{"observed_at":"2026-08-06T17:44:34.464015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.449137Z","title":null,"venue":null,"work_id":"53ed2b44-1f47-4359-b470-7fb75b316bda","year":2024},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.557589Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:9827dfe3c78e4aea30af4426e7887e8998c964992eb2f91a229ad135e1a839a2","observation_id":"7adac0e6-49e6-4120-8f11-19841208da2d","resolution":{"observed_at":"2026-08-06T17:44:34.453244Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.438917Z","title":null,"venue":null,"work_id":"45e5be32-4784-4ee6-8cdb-a8c6946d4e8a","year":2008},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.604938Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:35268d8f4536edaf07ddd53d5139a3bd7ff78ccb83dce19526da99f653d81a1e","observation_id":"f829d063-3ab0-4ff9-93d7-7d9190a19380","resolution":{"observed_at":"2026-08-06T17:44:34.442393Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T17:44:32.664132Z","title":"Expert systems with applications 73, 220–239 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.664132Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:9a3ab93177d7387151d5dbe7538ba4bdabd674228f268a043323b70cb944c884","observation_id":"0aa5a532-6115-44bd-a0d5-402b5f2a09fe","resolution":{"observed_at":"2026-08-06T17:44:32.664132Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.421765Z","title":"Advances in neural information processing systems29 (2016)","venue":null,"work_id":"3bae9fde-824d-4002-a169-930b4ddb6457","year":2016},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.706616Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:7e75d5e11cd31bec5abc95e7f034d5eff25d80a662355c125523cfdf1368c17f","observation_id":"8ef1e7ad-203d-4a1d-8fa3-c8b37a507086","resolution":{"observed_at":"2026-08-06T17:44:34.425413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.410124Z","title":"Im- balanced learning: Foundations, algorithms, and applications pp","venue":null,"work_id":"f00a3903-46bb-42d6-976d-cbff3f41189b","year":2013},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.741626Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:f4a4125b8f932b39144a522b89e7fb766e144191c3ae3a06f1040d6ab5bb3c7d","observation_id":"82ade21a-f874-4df2-9073-0eee310c59fb","resolution":{"observed_at":"2026-08-06T17:44:34.414608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.399360Z","title":"Neurocomputing 459, 249–289 (2021)","venue":null,"work_id":"ea24220c-4e3a-4c69-963c-053281ddf8a5","year":2021},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.785819Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:1a8d6216d99e191be128b59ef2d0d81cd01d707e5b388be500320beea71ae834","observation_id":"0f84c18f-ab9f-46cb-bc52-9b0b42da47f3","resolution":{"observed_at":"2026-08-06T17:44:34.403345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.389565Z","title":"JMIR Medical Informatics 10(5), e36388 (2022)","venue":null,"work_id":"44a89d28-be54-4123-8a50-8356cf50a3be","year":2022},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.848828Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:1c05b5f6e13401dbb8af3f15afb410329e36da129531f2398e0e1b3c37abcd6f","observation_id":"db8aa3d0-f864-490a-abd0-4ca366b3488b","resolution":{"observed_at":"2026-08-06T17:44:34.393234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.379172Z","title":"Knowledge and information systems33(1), 1–33 (2012)","venue":null,"work_id":"76151be4-a788-4c43-a8ce-6231da76c101","year":2012},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.896559Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:0db46b1db2fedaeb0377ffb0d45d14a7748b450e1819800c4de3d2016a2f304d","observation_id":"208b4f87-808e-42dc-b334-1d01e53f34b9","resolution":{"observed_at":"2026-08-06T17:44:34.382670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.368486Z","title":"example weight- ing","venue":null,"work_id":"7f0bbdfc-be42-4c31-985a-ff1182a2536c","year":2004},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:32.954483Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:066f1668cc18a72524dd2705c58ab5a4eea804f88feaf168bce1c5a209ea737e","observation_id":"2ae357e5-d69d-4470-ab3d-a769bda0fb92","resolution":{"observed_at":"2026-08-06T17:44:34.371867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T17:44:33.016561Z","title":"Advances in neural information processing systems30 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.016561Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:02f548f0dcdc770c2d087984b08b8c0b9a6b5629a0094d0c8fc74425676abf42","observation_id":"ebf85f77-3062-4f9e-83c0-c31e212fc96e","resolution":{"observed_at":"2026-08-06T17:44:33.016561Z","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":"2026-08-06T17:44:33.070237Z","title":"ACM computing surveys (CSUR)54(6), 1–35 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.070237Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:702bccde35b8e6435da5835a3a387e8de7f4c3f5992098b31c9be1e309b5115e","observation_id":"a299d90f-ae54-4063-91a9-e2a4ef871335","resolution":{"observed_at":"2026-08-06T17:44:33.070237Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.345367Z","title":null,"venue":null,"work_id":"e5c3779b-af3a-41c3-ae3f-66be87a49694","year":2021},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.134910Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:4d88cc8d381dfebfe8079d240b1b38a15b3ee15e4518a2f22dd27fb6d42f19ae","observation_id":"f9a979ce-96a1-45a4-826f-f162782a4753","resolution":{"observed_at":"2026-08-06T17:44:34.349242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.335671Z","title":"In: The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024),https://openreview.net/forum?id=knxGmi6SJi","venue":null,"work_id":"70319444-2d75-45e7-805c-1d115eaa46f7","year":2024},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.191681Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:8405bf6e8e796f5fb13b6cd041383900687146e1a587eb241edb2933a86a69f5","observation_id":"987f117e-7830-4eb7-9465-46c99dd14f2d","resolution":{"observed_at":"2026-08-06T17:44:34.339048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.325238Z","title":"Wiley Interdisciplinary Re- views: Data Mining and Knowledge Discovery10(3), e1356 (2020)","venue":null,"work_id":"bb1e6e3f-3bfa-4b3a-b122-6ee1b6dc8a56","year":2020},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.247195Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:2eb73ac6e531b78973025d988e23dcb4e7ceaf20e15f9df936046b516e356ce6","observation_id":"b667521d-6194-4f1a-9777-0894b3bb4871","resolution":{"observed_at":"2026-08-06T17:44:34.329263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.315735Z","title":"Artificial Intelligence Review49, 281–299 (2018)","venue":null,"work_id":"30625bdf-0ba1-48df-8507-d1efd9821046","year":2018},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.303821Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:57cc158bd6b5c79b873b19fe09804d6893a011db847b5785d156ce8ffbb3e6e2","observation_id":"3ee6c682-bacc-46d5-b9d7-efaf86316396","resolution":{"observed_at":"2026-08-06T17:44:34.318765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.305203Z","title":"Advances in neural information processing systems33, 2798–2810 (2020)","venue":null,"work_id":"3198ebaf-e962-4a99-bd07-54e796d0b082","year":2020},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.359340Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:ea7677b721be29b807e0a76706a05666406c2671872ca97dc9f2e0dd1799bf8b","observation_id":"169aa685-e8fc-4ae9-a6a8-044e494e4984","resolution":{"observed_at":"2026-08-06T17:44:34.308902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.293473Z","title":"Journal of Mathematical Sociology 1(2), 143 – 186 (1971)","venue":null,"work_id":"541d6216-3cb6-429b-9daa-efd6d60df9a7","year":1971},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.422053Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:3630bef437e369560e16ee5eb5cac840e0a04924b3a6517eee07402b26b67a8d","observation_id":"0bfd4faa-f8eb-4a08-9ec2-87c1fc2fb8d2","resolution":{"observed_at":"2026-08-06T17:44:34.298221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.156221Z","title":"In: International Con- ference on Machine Learning","venue":null,"work_id":"371e64f6-726c-467a-b98d-56898a887c41","year":2021},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.493965Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:c4042f5608ed737ec4c8cf0fe67facf69d41c3977bd46eff5f8b3903c502ac5c","observation_id":"515f8533-e0fd-4d05-a19c-a9830b593ff3","resolution":{"observed_at":"2026-08-06T17:44:34.285697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.111060Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"6b38b304-6a90-439a-ad90-c367145b27c0","year":2023},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.558494Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:330c5cb041ae14577a9a74657fc0311d60bc1116a4d81fa49e3c16a36e74b93b","observation_id":"bab1494f-fa61-47a7-b313-a6510772dfa8","resolution":{"observed_at":"2026-08-06T17:44:34.145031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:34.006160Z","title":null,"venue":null,"work_id":"ddef5ed4-d907-4016-9c51-73d44b27b40e","year":2023},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.606659Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:6273116d90dfe5b33621a39667095956b69a6cd1265793933efc039d516512a3","observation_id":"2f003fa7-26af-4a1c-ba31-3efce5f3e47d","resolution":{"observed_at":"2026-08-06T17:44:34.049037Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9060.9540","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:44:33.855611Z","title":null,"venue":null,"work_id":"8431bff5-7a4a-4a81-a0be-343228e7ec83","year":2020},"citing_paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:44:33.653815Z"},"links":{"citing_paper":"/paper/2507.10154"},"observation_digest":"sha256:e17a010ab478c938e2cd74de08a110a06bc0a91b72258bfe07dfd3660302a65f","observation_id":"8444adf2-ecf1-4c01-b7be-afecbccd2fc2","resolution":{"observed_at":"2026-08-06T17:44:33.906886Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.10154","last_updated":"2025-07-14T11:04:24Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-13T00:14:16.669421Z","submitted_at":"2025-07-14T11:04:24Z","title":"Simulating Biases for Interpretable Fairness in Offline and Online Classifiers"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":16},"total_outbound_references":27},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.10154."}