{"as_of":"2026-08-22T14:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7201507d2c8afd6b7503f993062fd97344326deee2fc6ba52a4bfb83d9063e64","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T17:58:10.611180Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2606.20461/citation-record","integrity":"/paper/2606.20461/integrity","json":"/paper/2606.20461/citation-record.json","paper":"/paper/2606.20461"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:58:10.611180Z","title":"Angwin, J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:509eaf80040ea285989b2973c798c1ebc9225933beeed3c542ebc92c66430143","observation_id":"492db8c0-f961-4bae-af08-f70faaca03f1","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:2f2cd328852365c92bdf6ca8acc7782c24888bb71fbe8f368d3caa2a30bfedac","observation_id":"de873778-844d-454c-b5c0-f0501bcc0a8f","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:414047ac066494d33ec424e17869d7be3cd7ac1001a01eca3724523014616a66","observation_id":"8fbc6e7a-06bd-4ae1-8dad-b3c6d153752c","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":"2023.Fairness and machine learning: Limitations and opportunities","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:777781b900bc25ee0e6fabd655836b6c48ccc7ca6d5d04ee5751334991d530b4","observation_id":"008194b3-c8ac-4054-b127-0b944b233596","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:d4e6b5fb72e48b9fe01decf277ad1950ec704afeba47830a4ffdf879907bfe21","observation_id":"dd6284fa-78ad-4084-9a28-0a2defe137e4","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"10.24432/c5xw20","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:06:09.313008Z","title":"Becker, R","venue":"UC Irvine","work_id":"87bf1dec-b317-4d1c-834f-647506c211f5","year":1996},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:2e40ce79edc89201d66c4b04df79aee0d7eaa7d696aa5bf82f3b0cc2dca67096","observation_id":"aef497a6-0077-4e2a-a123-80d94be9417c","resolution":{"observed_at":"2026-06-26T17:59:40.393682Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-04T00:08:29.277373+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-04T00:08:29.277373+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:ef80756327c43bc1995e390c26a3971c22da0c91e44f3244a1294c64c68f0dbb","observation_id":"7db9d816-bfa9-44b0-95bb-60ff14fc9785","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:7a89d90e70dc966005a8dab1ddd78d02f57abaa15f82a0c2536f073790d26dfa","observation_id":"65f78f3a-1239-43bc-b6fa-eb56bb327947","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":"Gaebler, Hamed Nilforoshan, Ravi Shroff, and Sharad Goel","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:52607735835e39384c30577f4dfb8ba6abb8172dabc56782f1e8f2e64f79c4a1","observation_id":"944d78fd-0f55-4fe3-aa43-8a13e44ee3c0","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:fe66360b472addd26e4cb7887640a947fbfa4d74ea5224ca93714f4a45972f98","observation_id":"98097b60-7bbd-45ef-aa7f-277d59c96d22","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"0236.209025","doi":"10.1145/2090236.2090255","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Proceedings of the 3rd Innovations in Theoretica l Computer Science Conference On - ITCS ’12, pp","venue":null,"work_id":"cbdd0fb3-042c-4f10-97fe-09a1c79d0951","year":2012},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:15b91adb16df2ac64eadba22c82cf59e90efbfea2d4e399967f8a10559039ed0","observation_id":"8c14f8a4-317f-4603-b9c9-9913cf3fefc2","resolution":{"observed_at":"2026-06-26T17:59:40.397283Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-07-11T14:19:30.289779+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T14:19:30.289779+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:5f3f070b95d74769031ef9dbba7dd9eb675086a7ff858ed3933c69fb4fa4ef77","observation_id":"6d9b1387-451b-45fa-9dab-7ea63dbd164b","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":"Forthcoming","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:b9db5310c5e09c93a17b4e80547a95674473a969ac14bdf12e112b22101a63f8","observation_id":"2db17872-0537-4c46-a081-716014edc51d","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:446585a6871f5ab188e440fca112e741268bfd4288405928a0e58114d38200ed","observation_id":"d42a51a1-e75b-4fad-9660-9b1f9e40b13d","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:2b1a285d5ede99e5033f966241c02ba9bfbfb5f871ec77a9602b1a2547a4aeb0","observation_id":"eaf70458-fbfe-40a6-ac67-3f2001930336","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:2b0b09118b65a52bea9b3c564931ff0d59407d910147512401df5291458d70eb","observation_id":"f3974e77-b326-4af0-8b7e-ace491af43ba","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:3a622e1aaf6cddb8bcd7c0773f5e28278480d17bf19f82c25fd5eda2bdb38824","observation_id":"b369a73b-8840-4fc6-9a87-0d191399e601","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:b65da5a04d97fbd8d0c2df2436e29343faa49e1bf553bd8d8a51c365d8f5002a","observation_id":"845b295b-23d5-4491-ae8e-d3542be43354","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:cc68058aa7688e192b6bcbdb85d7aadfe7bfbd181136254828f5b3ea993d2d4d","observation_id":"2c2b9deb-ab6b-4a3b-a039-4aba506bfcc4","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:48c2ab7dcffe7e005920d7b9a39c3b84b4ff0d2b25643b97101c8a3ece233126","observation_id":"b56c7083-7f45-45ca-b05f-cc6c3e869bd1","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:d31ed9ce45c9ade0e81e049aa92811c1bffb9ab0790ad160db7a42e4ad9f4b70","observation_id":"5d271fca-7bf0-475c-99c8-13d11532d40b","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"7560.328759","doi":"10.1145/3287560.3287591","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Model Cards for Model Reporting","venue":null,"work_id":"fb93094c-804e-4d49-acde-0f68bf751504","year":2015},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:d314c8125e907385acee42b9ccee1949e33da1d0596ce81777c5f37e23a95545","observation_id":"c6ec7873-ae87-48d5-b0f2-1dcd6e713d06","resolution":{"observed_at":"2026-06-26T17:59:40.386855Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:614782ad606fd660fdb691ee4d0fe429eac3f271e57c2864d8e671ac2871f441","observation_id":"b9e0d666-ef63-4c14-a2bf-c0349bd1ef21","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"1146.35331","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T15:19:55.937279Z","title":"Vera Liao and S","venue":null,"work_id":"530adf6d-1a51-4c4b-95e8-9ca9e63a155d","year":2022},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:8296c7a5758bf332c0e848f34cad36a8a74f4cd85cff7a359bf038d06ea7ab10","observation_id":"24084878-7761-4e45-85f5-d7c5eba0dcf7","resolution":{"observed_at":"2026-07-04T03:29:31.095983Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:0a82f2433de95dd4ccba23f8c14e0947c92de9fdb39a700687a9b5de1692f16f","observation_id":"0b1e67bf-3a60-4a8b-95dd-b877b1f1126d","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":"Williamson","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:bf3bad949bea5e09affaf69f1b5540314769bf6c88c0c9b88d1bd5413b32432e","observation_id":"86175625-46b1-4a2e-a936-0f588e02c59e","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:ff033641ca73c4d7071f4e2077b7ec876cc817aae8bdee0cf73f703a1a0ce764","observation_id":"bdb275a7-0f6b-4038-b3f3-fe7528c96276","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:723b711a1a23ca428dc2b3155039c15e0a65c2c985725adbba26161e35a8d960","observation_id":"12a821fb-7a9f-4b7b-9297-17b22ba367b2","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:83bacff377711b9dcf872ddc48ece07332fc5b92c9012ab7dade899584d78158","observation_id":"207951ff-8012-4796-b3ff-699cda9edd66","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"10.1609/aies.v8i3.36712","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Miller, and Ricardo Baeza-Yates","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","work_id":"6caaf539-7087-425f-a2f6-50352c61fa8b","year":2025},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:02df2da248dd57efec6aacbaf2a0ed167cff5ad402a542e99578d890437f0acc","observation_id":"337c5f67-af18-49ad-8346-1cb3f74bf36d","resolution":{"observed_at":"2026-06-26T17:59:40.395469Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:0f485bb45c9b4e76c6807a7922ed77525d9f2e73960e6620e5a6f8d22915fd7e","observation_id":"c0af76f6-8eeb-486b-aff0-9bdb118cbf33","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:f9c7170775d9f25a72f4c22e2b4603b608ab7b59c5e8c6c69e8a95c4f0d90eef","observation_id":"0d883ead-be52-4f48-ba10-67cbb0bbabc5","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"1146.353310","doi":"10.1145/3531146.3533101","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mind the gap: Autonomous systems, the responsibility gap, and moral entanglement","venue":"2022 ACM Conference on Fairness, Accountability, and Transparency","work_id":"9aa53317-0acd-4585-a400-b5d23ed48cbb","year":2022},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:e31c2c97e6b6a9fafa19a766da760a673e7d066ed4ce0eabe53cd54cdb1e47ca","observation_id":"2fdabdc3-1739-49f8-a639-58a0b3e207b4","resolution":{"observed_at":"2026-06-26T17:59:40.401516Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.24432/c55s3h","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Default of Credit Card Clients","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"690f146c-ddd6-48eb-aa82-6f8b3997b602","year":2009},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:5b9c1c569435200c23b4cef7cd8f0a79b940b88e7cae1ac8f4c7ae3862eb7df0","observation_id":"7bd37dda-59a3-42a9-8b3e-e911d133a608","resolution":{"observed_at":"2026-06-26T17:59:40.389090Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-07-20T15:23:55.55848+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-20T15:23:55.55848+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0106.365892","doi":"10.1145/3630106.3658922","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bell, Candace Ross, Adina Williams, Michal Drozdzal, and Adriana Romero Soriano","venue":null,"work_id":"287349b0-0e99-4c39-b805-bc2592f39d51","year":2024},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:39925d5bbb8a07f04063493fd1e4f6730ee92f190553f5e4036112e76bb24944","observation_id":"20dd2269-2cf9-40bd-93a4-e1181b117e17","resolution":{"observed_at":"2026-06-26T17:59:40.399476Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:f115329a6f415117630c7dca5264a132915904b8c90e325834e5beaeab8ba389","observation_id":"81eaf4ea-9c73-4e34-a11b-0d54229f3935","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","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":"2026-06-26T17:58:10.611180Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-26T17:58:10.611180Z"},"links":{"citing_paper":"/paper/2606.20461"},"observation_digest":"sha256:e5d18b60a581e7cac17080e1e7177ae896b8262abff586499d556a1f39d6fb55","observation_id":"7f3495be-00bc-48b9-852c-e36f745402d2","resolution":{"observed_at":"2026-06-26T17:58:10.611180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.20461","last_updated":"2026-06-18T16:43:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T16:43:34Z","title":"Data Bias Mitigation under Coverage Constraints & The Price of Fairness"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":29,"verified_exact":6,"verified_fuzzy":0},"total_outbound_references":37},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.20461."}