{"as_of":"2026-08-10T11:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e5e9d5ec7347db24fb888870582b6b5adcef50cec1bd5c5906ab19804b5b9c80","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T13:26:53.814422Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2507.20711/citation-record","integrity":"/paper/2507.20711/integrity","json":"/paper/2507.20711/citation-record.json","paper":"/paper/2507.20711"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:26:54.878342Z","title":"In: Proceedings of the International Conference on Machine Learning (ICML)","venue":null,"work_id":"5d90264d-77f1-4e6c-8b41-2235a5d51bb3","year":2024},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.534880Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:54448000e7144d60b3a628a171f8dbaf5e4bfdff3db937c3e47264f844289715","observation_id":"07d51b19-463d-4fc9-b8da-20280c038c19","resolution":{"observed_at":"2026-08-06T13:26:54.883675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.860175Z","title":"Proceedings of the ACM on Programming Lan- guages 1(OOPSLA), 1–30 (2017) Algorithmic Fairness: A Runtime Perspective 19","venue":null,"work_id":"689ad19a-476a-4349-913d-5053c8baa8ae","year":2017},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.541042Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:87ed747d2e3bb8b946e9077303b6ccd341c66cc6a42ecbd90f5de63612cc0233","observation_id":"37b3f795-b852-454f-8e37-f86876d2e7fe","resolution":{"observed_at":"2026-08-06T13:26:54.865428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.843010Z","title":"In: Proceedings of the Conference on Fairness, Accountability, and Transparency","venue":null,"work_id":"6d1872a1-0d14-4679-b66d-8df2619d7347","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.549099Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:b1c38a8713d74ffb77d10a6d47ebc2c18bc1aca0cd95d6ea942349ff021368f1","observation_id":"f475fe8e-d304-4960-85ba-6b73af454829","resolution":{"observed_at":"2026-08-06T13:26:54.848238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.12051","last_updated":"2021-02-14T00:23:08Z","snapshot_observed_at":"2026-08-08T21:10:41.004583Z","submitted_at":"2020-03-26T17:39:46Z","title":"Ab initio properties of the NaLi molecule in the $a^3\\Sigma^+$ electronic state","version":2},"cited_work":{"arxiv_id":"2003.12051","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.12051","snapshot_observed_at":"2026-08-06T13:26:54.042561Z","title":"Ab initio properties of the NaLi molecule in the $a^3\\Sigma^+$ electronic state","venue":"physics.atom-ph","work_id":"69ceb55f-24fa-483d-a7ec-0edce29369f8","year":2020},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.554674Z"},"links":{"cited_paper":"/paper/2003.12051","citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:d14510b87246310f74c501304ecb4e5a8446d6d5bde8773aabe4f809f164785b","observation_id":"7c6eac02-c4cf-4767-86f3-6270bbab0eda","resolution":{"observed_at":"2026-08-06T13:26:54.048861Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.824654Z","title":"In: International Conference on Learning Representations (2021)","venue":null,"work_id":"a2b7e794-0e2f-4e46-bb0e-9cc3f8097353","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.561359Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:22b8792606b0dfce8f91cc8ac83b6a6c7551a085ee483ed7845a60f43437cf12","observation_id":"359d8f74-90fa-4f98-ad0f-16112605d078","resolution":{"observed_at":"2026-08-06T13:26:54.830249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.807202Z","title":"MIT Press (2023)","venue":null,"work_id":"87efba88-5ee2-45ea-b93d-d57c41106f9c","year":2023},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.567081Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:8cc01780ac1ae62ae4ef38b838dc20e10468b793e14186e72b08f530e27d16e3","observation_id":"79d33a6c-00e9-4643-8dd4-004c8da83df5","resolution":{"observed_at":"2026-08-06T13:26:54.812316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.790098Z","title":"In: Lectures on Runtime Verification, pp","venue":null,"work_id":"8930b8ae-2972-46d8-ad06-c6e09e4bd2cf","year":2018},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.573901Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:90051863d1a0be76f67a045b867a98f91afb7a5f324e64a4f0b843815c840b02","observation_id":"ca75f1aa-a036-42cc-a601-b878699347f9","resolution":{"observed_at":"2026-08-06T13:26:54.795457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.769097Z","title":"Proceedings of the ACM on Programming Languages 3(OOPSLA), 1–27 (2019)","venue":null,"work_id":"847dbcc1-93fc-418f-acc9-6b0b2610d3a9","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.579663Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:8059c1fbb489661847b482e91ebf363978f5fe0314ebb46ae1f1b617b936ffe1","observation_id":"9b1da491-85a6-4e0a-b329-2271881cbdcb","resolution":{"observed_at":"2026-08-06T13:26:54.774324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.750736Z","title":"IBM Journal of Research and Development 63(4/5), 4–1 (2019)","venue":null,"work_id":"33512c5d-49a0-4e1b-9a42-423b127f8ff3","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.584593Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:4bc30ad4ffcbe268254fd2ad3b5163c0a2ba2e78872bc87510cd643a45269b7b","observation_id":"afd4accd-0274-41dd-add0-4ee98c753de2","resolution":{"observed_at":"2026-08-06T13:26:54.755620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.733384Z","title":"Sociological Methods & Research50(1), 3–44 (2021)","venue":null,"work_id":"f6a16c8d-7792-4b74-9d2f-6d6eda46aabd","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.590390Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:0baa65a93e376a25edb03b7707a24e54c7f28c724db711fdf35660c53f999591","observation_id":"7cdca5b2-16fe-43e0-a648-e8512fbd427b","resolution":{"observed_at":"2026-08-06T13:26:54.738461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.716089Z","title":"Microsoft, Tech","venue":null,"work_id":"6621d0fe-655c-4296-b596-c328b0335e3b","year":2020},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.595300Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:842ea75bdbd48ed908955d73d3baa2b360c5cf1d2512e340170ae2d081d40837","observation_id":"da63c80c-bb44-4a9f-91a1-6d256f00290b","resolution":{"observed_at":"2026-08-06T13:26:54.721636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.694564Z","title":"In: International Conference on Formal Structures for Computation and Deduction (FSCD)","venue":null,"work_id":"7e1d934c-46ed-4771-bc01-63475244ab7a","year":2024},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.601302Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:f3518b4c8ee39b8c93f64de00e6369951699e1cec882b9da160c2a8b1b94bfcb","observation_id":"3de2cd82-1a6e-4a33-ba9f-13ef4585e067","resolution":{"observed_at":"2026-08-06T13:26:54.700775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.674755Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence39(15), 15659–15668 (2025)","venue":null,"work_id":"5d0f9754-c0f9-4963-862f-364035457b40","year":2025},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.606631Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:8395292959689db30acc2ac4db53ffd50b1b52a085f70f7a7dd7f69bb35b01d7","observation_id":"443b5d93-09f8-47f3-86b6-325d27890815","resolution":{"observed_at":"2026-08-06T13:26:54.680296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.655708Z","title":"In: Proceedings of the Conference on Fairness, Accountability, and Trans- parency (FAccT)","venue":null,"work_id":"5e558e6f-e063-4fee-8e3c-6c6c887fb097","year":2020},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.611815Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:aadd61f68b9ab30ce6f7d556e0091d245713c6d31d9f1912baebabbfb556171b","observation_id":"02bc3cd5-3659-4137-a6ea-0c1e87411f85","resolution":{"observed_at":"2026-08-06T13:26:54.661350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.638680Z","title":"In: International Conference on Formal Modeling and Analysis of Timed Systems","venue":null,"work_id":"76c852fd-1881-49ea-aa4c-eeffd7b04ada","year":2010},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.616658Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:413a6924c277a9fe3a59128a129841d116d1d12fd0d0b7a2f397c6db0002a142","observation_id":"f3363968-1638-4894-80d4-5d252d579681","resolution":{"observed_at":"2026-08-06T13:26:54.644038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.621052Z","title":"Science advances 4(1), eaao5580 (2018)","venue":null,"work_id":"c036f67b-13b8-4c1a-9764-7b9c5cb19199","year":2018},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.621865Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:6aad10daa8f64a75267553e0f2d341e0ed79a1856d01052771c567fca9c48035","observation_id":"7a5774be-df90-4237-ac79-4462453254bf","resolution":{"observed_at":"2026-08-06T13:26:54.626480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.602970Z","title":"In: Proceedings of the 3rd Innovations in Theoretical Computer Science Con- ference (ITCS)","venue":null,"work_id":"0302c5bd-3257-4632-a3ef-5171d123d8c5","year":2012},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.627428Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:a1d3c52449f1249820e0e051f9f833fe72878a7487906e5ea261ae4788428002","observation_id":"226926f6-487b-461c-92f1-7eded52b961c","resolution":{"observed_at":"2026-08-06T13:26:54.608290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:53.633590Z","title":"In: Proceedings of the 3rd innovations in theoretical computer science con- ference","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.633590Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:ca17f0479122cb291c150e922c05f6cca34b7bcc3f55c2fe3f725958b1fa8264","observation_id":"24ccebd5-5de9-43f8-b8eb-d86b73a7be62","resolution":{"observed_at":"2026-08-06T13:26:53.633590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03829","last_updated":"2019-06-12T09:37:17Z","snapshot_observed_at":"2026-07-06T06:08:45.897135Z","submitted_at":"2017-11-10T14:27:19Z","title":"Real-time Stream-based Monitoring","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.03829","snapshot_observed_at":"2026-08-06T13:26:53.639280Z","title":"arXiv preprint arXiv:1711.03829 (2017) 20 F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.639280Z"},"links":{"cited_paper":"/paper/1711.03829","citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:40c6d945cba76032f9a9890174cc4e37368f592c57349bb976a80af66e234cdb","observation_id":"fe4e7dc0-0126-4d64-a8f2-07947222d3dd","resolution":{"observed_at":"2026-08-06T13:26:53.639280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.09447","last_updated":"2022-06-01T08:47:15Z","snapshot_observed_at":"2026-08-09T03:43:43.038210Z","submitted_at":"2021-09-20T12:05:14Z","title":"Algorithmic Fairness Verification with Graphical Models","version":2},"cited_work":{"arxiv_id":"2109.09447","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.09447","snapshot_observed_at":"2026-08-06T13:26:53.988583Z","title":"Algorithmic Fairness Verification with Graphical Models","venue":"cs.LG","work_id":"490ae394-a8c7-4270-a71c-75be5439630a","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.645068Z"},"links":{"cited_paper":"/paper/2109.09447","citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:203cc864f974a0e630657136f322e12bb0ed4931ab02b6f91673cf01e3952307","observation_id":"43442812-2450-4e09-aae7-9f1988173694","resolution":{"observed_at":"2026-08-06T13:26:53.996444Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.571561Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)","venue":null,"work_id":"70089149-9141-4d2c-be17-8e0e4484c5e0","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.650345Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:1f686ffe9ff252afd4ee3b851eb7a5ef013ed74df76f234a04d7562fa77f6d49","observation_id":"2f622532-837f-4f54-a595-e8aa2e863623","resolution":{"observed_at":"2026-08-06T13:26:54.577062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.552017Z","title":"In: Advances in Neural Information Processing Systems (NeurIPS)","venue":null,"work_id":"5f1b3115-5365-47a5-91ca-47357b678b25","year":2016},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.656091Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:2ddc964161ae64ba6bab11c23c01d75fab3eb2f865fbf1e4724bc92fd8eab3bf","observation_id":"5995adfa-8624-4484-a52e-8758accf6b1d","resolution":{"observed_at":"2026-08-06T13:26:54.557512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.01209","last_updated":"2019-06-27T13:15:44Z","snapshot_observed_at":"2026-08-02T03:47:39.855998Z","submitted_at":"2019-03-04T12:38:00Z","title":"On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.01209","snapshot_observed_at":"2026-08-06T13:26:53.664051Z","title":"arXiv preprint arXiv:1903.01209 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.664051Z"},"links":{"cited_paper":"/paper/1903.01209","citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:147ba67aef8142d947dbfda08184b509e95e5c39ffb8cfeb036e1ced26f061af","observation_id":"5788264c-04a6-4cb7-929e-1ef2bb11d797","resolution":{"observed_at":"2026-08-06T13:26:53.664051Z","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":"2026-08-06T13:26:54.534788Z","title":"In: Proceedings of the International Computer Aided Verification (CAV)","venue":null,"work_id":"cb8c34da-ee4a-4503-8511-b530957b9db6","year":2023},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.669792Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:e68efbbbfc9aa3a0415d4b4614f4149cb40f313c6fab9073125a3293eb79a705","observation_id":"5283e8d8-a379-47ea-a6fe-1c518db3bf49","resolution":{"observed_at":"2026-08-06T13:26:54.539873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:53.675646Z","title":"In: Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.675646Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:0f8b89273ced1b0c3ceea0926adf20043ff17eb7b7ee4190a5c92dcaf384b94a","observation_id":"66bb9871-4f24-4e97-b5ce-0fe478b1d84e","resolution":{"observed_at":"2026-08-06T13:26:53.675646Z","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":"2026-08-06T13:26:54.517584Z","title":null,"venue":null,"work_id":"1af08ce2-3cba-42e0-adc9-7ccdb789bf28","year":2025},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.681809Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:e57e16cac6e8feb5f327edf7c26a2a5357bae5ad1b47b979d27c7d4afd7bc0f2","observation_id":"14289f39-1dce-40f4-814b-4e0cc07128dd","resolution":{"observed_at":"2026-08-06T13:26:54.522689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.500242Z","title":"In: International Conference on Runtime Verification (RV)","venue":null,"work_id":"730fddf5-c18c-4233-a73a-cb701c4a4798","year":2023},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.688072Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:7193f14a4158b9243a7e6ee8f1966b8a4f1fab5fc4ac2ef1e631d3b5591efc29","observation_id":"5173cf69-41ca-4c57-9cfc-4f88f042ddd0","resolution":{"observed_at":"2026-08-06T13:26:54.505100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.483984Z","title":null,"venue":null,"work_id":"8acfe339-0d73-433d-9340-642531191448","year":2025},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.693664Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:82ccde34348e6af827bed734de4752adff1ec1b1a8985c46ff83e26d6d8f6b40","observation_id":"1ac56cbd-f369-476a-936e-9c4eeeed6622","resolution":{"observed_at":"2026-08-06T13:26:54.488756Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.466818Z","title":"Journal of the American Statistical Association58(301), 13–30 (1963)","venue":null,"work_id":"532a93ce-9e51-457f-b023-4635047ff085","year":1963},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.700299Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:436fdc9db65ca8187f3839e74ee37fe0a934b6b626757724e60363643f3b298b","observation_id":"f7f3cf68-a635-4043-89d4-e7671a452b6c","resolution":{"observed_at":"2026-08-06T13:26:54.471755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.450262Z","title":"The Annals of Statistics49(2), 1055–1080 (2021)","venue":null,"work_id":"8a902978-da10-466b-a6ca-da4e6af6e9f9","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.705901Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:21977544c4e49d00783509334d293ed53b55ecd609e358403f79807e6321d241","observation_id":"5f2c5b8e-0d17-46d3-8fe0-25bfd5cb0c9b","resolution":{"observed_at":"2026-08-06T13:26:54.455042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.432073Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"6bf13e82-9ea4-49cc-a617-a509cda9600f","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.711566Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:3ae1af07f9f27aa3095326216c1e28f66b8fa86bfe98489b212182c64c577559","observation_id":"7282e882-8c55-4369-9e35-67b686882649","resolution":{"observed_at":"2026-08-06T13:26:54.438410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.413393Z","title":"In: Conference on Uncertainty in Artificial Intelligence","venue":null,"work_id":"1ec17ab0-02e3-44ff-b6b1-8f3a0835da6d","year":null},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.716929Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:c9014581ebfd1064a1e99f72620c0130e0683fe95e1fb7b220ba21cdc24215f7","observation_id":"f0e85da5-8c48-4973-8066-6e75e349e3dd","resolution":{"observed_at":"2026-08-06T13:26:54.418811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.393557Z","title":"In: International Conference on Computer Aided Verification","venue":null,"work_id":"62c193c0-b85c-4158-8a7e-984371f234f3","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.722384Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:f61ed09e5472b0373481ad933e1d5ff977365f3221675114be3226fc376a3d28","observation_id":"b6931348-a0f5-4f15-9712-6f523386554d","resolution":{"observed_at":"2026-08-06T13:26:54.399126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.375939Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"c58b1856-8188-4867-8fba-8f1dfbfc5861","year":2018},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.727417Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:e88dafabc215ba89a775172ddc73c8f696e614e1b49c950f5fe0917b83982e14","observation_id":"22ec1b18-9715-46ba-b19a-cbe196c46550","resolution":{"observed_at":"2026-08-06T13:26:54.381706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.355201Z","title":"Journal of Machine Learning Research23 (2022)","venue":null,"work_id":"ac71ccea-dbbb-42d2-8582-4e5f780805a6","year":2022},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.732476Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:0ee9ced793f2d3893b011fd51202567a4520187fbc6ad5ea623f8cd485404237","observation_id":"aff3698c-1f2f-43a1-a1f9-594b542a05b4","resolution":{"observed_at":"2026-08-06T13:26:54.360934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.335324Z","title":"Advances in neural information processing systems30 (2017)","venue":null,"work_id":"a64797a5-5caa-4800-9a33-877f12747a10","year":2017},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.738728Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:222978a082cbcafd4f2c242d588ee5e730025d5cbe40339b0ac9b4d4939fc660","observation_id":"5212e115-f1f3-4d63-b8e2-58cab52b9a1c","resolution":{"observed_at":"2026-08-06T13:26:54.341695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.313014Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"a832afb8-1332-4d2d-aef9-185c244c041c","year":null},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.743731Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:58de8f886d02d94a995ae612a9827b271f6de27ba142d28ae5de56d8f9845b27","observation_id":"5275b4b5-6fb7-4854-92bf-ed12c80a6765","resolution":{"observed_at":"2026-08-06T13:26:54.320106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.267175Z","title":"In: International Symposium on Formal Techniques in Real-Time and Fault-Tolerant Systems","venue":null,"work_id":"508de63f-1eb7-43bd-95df-e44e05c67f5f","year":2004},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.753692Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:ff807e7ee4bdbdb56458c4ebe6bc484a10441542ca57b7a3fc2a9b8c8e2cd32b","observation_id":"040f43dd-88d5-42ec-8229-c35c95d860a5","resolution":{"observed_at":"2026-08-06T13:26:54.273520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.247976Z","title":"ACM Computing Surveys (CSUR)54(6), 1–35 (2021)","venue":null,"work_id":"520b40cb-c38d-4a10-b06e-25a9111e0f15","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.759523Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:5e1951eaeb0be7472297ab54468f85715f2d8ef2dab7863e933f61e49eb088c7","observation_id":"163c4c9d-db69-40c1-a3b5-b5effebd0cb4","resolution":{"observed_at":"2026-08-06T13:26:54.253472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.225637Z","title":"Advances in Neural Information Processing Systems (NeurIPS) 34, 26276–26288 (2021)","venue":null,"work_id":"1b27d964-a0e0-47f8-922f-4f7714f965bc","year":2021},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.764462Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:e8fddf7b1b36cbb3267de126ee8e444d12f981d004c17f88c614fdbd0d9a7d0f","observation_id":"d6815599-296d-4cf1-9a5f-487d57ca8385","resolution":{"observed_at":"2026-08-06T13:26:54.232408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.203299Z","title":"Cambridge Series in Statistical and Probabilistic Mathematics, Cambridge University Press (1997)","venue":null,"work_id":"1e74dcdc-daa7-4280-9588-cf2bf818b9c8","year":1997},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.769421Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:446eb6667e4ea763ad9509f88e84e1b85432def8138c6dbb16515d9fee8f35d3","observation_id":"8c4e7bbe-2141-4e9a-b635-f865585d4675","resolution":{"observed_at":"2026-08-06T13:26:54.209564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:53.774872Z","title":"Science366(6464), 447–453 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.774872Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:c2785bb5ca445481493489dbadfd634f0a7ca202b42e98a171a3bf1605590916","observation_id":"92ff22e7-a733-4621-8838-563037809a50","resolution":{"observed_at":"2026-08-06T13:26:53.774872Z","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":"2026-08-06T13:26:54.161697Z","title":"Proceed- ings of the ACM on Human-Computer Interaction3(CSCW), 1–33 (2019)","venue":null,"work_id":"977402ff-9c00-41c3-a6a5-5a7dee662ff1","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.780639Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:b0980fc5b57694e45815845bb490af3ac5b54fb0979e1a15855028420652fb97","observation_id":"6d4b1e4c-c23b-49eb-8381-c1a36e4335ac","resolution":{"observed_at":"2026-08-06T13:26:54.169953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.140396Z","title":"Advances in Neural Information Process- ing Systems 32 (2019)","venue":null,"work_id":"c708c320-4cad-4d18-8409-d798e540edb4","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.787459Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:ef2527f28165a2191db0370a7d70f5ba10555c9d95a74f12a0cdb98ab0d98847","observation_id":"4f653f6d-7cbd-4d98-b448-d30dd52b039b","resolution":{"observed_at":"2026-08-06T13:26:54.146523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.121300Z","title":"In: International conference on runtime verification","venue":null,"work_id":"7208d90d-0f4b-496a-a621-df69cd4413e8","year":2011},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.794623Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:ff7be14d19fd78e3da2ea07769430446fcf8494ae49d3fcc761d771aba2b8858","observation_id":"aa4ff589-0189-4bb8-8506-9003502c47cc","resolution":{"observed_at":"2026-08-06T13:26:54.126858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.102252Z","title":"In: International Symposium on Formal Methods","venue":null,"work_id":"f7758344-c04b-4027-93ec-87bd5e03a886","year":null},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.801204Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:70f76554a32790937703701c5dddeb8e2b8a02d84df31880f7b0438916169dc5","observation_id":"93be63eb-42ef-485a-9ece-7b74be282e4d","resolution":{"observed_at":"2026-08-06T13:26:54.108086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.081633Z","title":"IEEE transac- tions on visualization and computer graphics26(1), 56–65 (2019)","venue":null,"work_id":"de4ec3a5-fe3a-489b-8253-b0cade22eb1f","year":2019},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.807561Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:d9273880c4c23e9a6e0d712492ffba6a98a5cd825c73aa803d8f21b2ceb02270","observation_id":"cdd1bdc5-ab4d-4054-97d8-ae0563d2383e","resolution":{"observed_at":"2026-08-06T13:26:54.086832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.063303Z","title":"In: International conference on machine learning","venue":null,"work_id":"8bf84897-e9ee-4e25-89eb-933ea9fe1c0f","year":2013},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.814422Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:ead06c9e43c9b8e93db69950d06b5bdb7602b5bcca9225f834eceb956f1750d4","observation_id":"e9596da6-0685-4731-be23-a65b8e17130a","resolution":{"observed_at":"2026-08-06T13:26:54.068747Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T13:26:54.288442Z","title":null,"venue":null,"work_id":"7e867be1-3c24-4bff-a551-1ab9583b76c7","year":2018},"citing_paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective","version":1},"reference_index":3158,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:53.748408Z"},"links":{"citing_paper":"/paper/2507.20711"},"observation_digest":"sha256:ec3a76e00987ea9f7aed95d1facffd0783067c664a9522b39d77bee059fe79e8","observation_id":"9cacee22-4611-46d6-90b7-bd4d7d0d85d6","resolution":{"observed_at":"2026-08-06T13:26:54.294532Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.20711","last_updated":"2025-07-28T11:04:17Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T21:41:07.477486Z","submitted_at":"2025-07-28T11:04:17Z","title":"Algorithmic Fairness: A Runtime Perspective"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":49},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.20711."}