{"as_of":"2026-08-08T12:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb7a1f409b2539f44370a8ddc72a260aea95e845c1c98664851ec93077810eed","coverage":[{"denominator":120,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:35:05.946623Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.18726/citation-record","integrity":"/paper/2507.18726/integrity","json":"/paper/2507.18726/citation-record.json","paper":"/paper/2507.18726"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.436478Z","title":"https://deon.drivendata.org/","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.436478Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:b36ed80478e2b4fadf5b119c728ec4199a0d26daa63ca0691c5b3f8cf6055bba","observation_id":"e0a02f48-4003-4dbd-841f-b23ef1b89eb4","resolution":{"observed_at":"2026-08-06T14:35:05.436478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.442371Z","title":"https://ai.facebook.com/blog/ how-were-using-fairness-flow-to-help-build-ai-that-works-better-for-everyone/","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.442371Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:b68da4be03ebbc9ab4a23d11bf201b855521515e921b34a5fa26e4ca22e517cb","observation_id":"e6e88a0a-61ef-4fd9-9edf-453119aafc3b","resolution":{"observed_at":"2026-08-06T14:35:05.442371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.447800Z","title":"https://github.com/pymetrics/audit-ai./","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.447800Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e6b557923f6de5ed27ee78bb1481f0303c9cd4d6c97e41bf2f019b5d205204a6","observation_id":"60c59692-3535-4b11-8122-9941182433c7","resolution":{"observed_at":"2026-08-06T14:35:05.447800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.456265Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.456265Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:90dc5af6f63657714b3a48fe366cd184fbf506777e82ab443b877800e9802b44","observation_id":"45856e50-6597-4a8b-910f-f386b2384a33","resolution":{"observed_at":"2026-08-06T14:35:05.456265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.461735Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.461735Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:705a173bb6053e2165e0b055638afb6627f0e457de62cc662e4b6aa246387d99","observation_id":"3253da62-0caf-42d3-9140-eb751ac8f67d","resolution":{"observed_at":"2026-08-06T14:35:05.461735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.467557Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.467557Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:ea217cef2d31fb1762897d84d3a9748eedbb62e455a131557de5d5e60711376b","observation_id":"9bbaa696-29b0-4d5c-a9ab-07e3062c3eeb","resolution":{"observed_at":"2026-08-06T14:35:05.467557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.472311Z","title":"{TensorFlow}: a system for {Large-Scale} machine learning","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.472311Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:ea3ba2f9e503440596643f3adfe947c7425bd5674a5c205df27fab2a36271242","observation_id":"9918fc89-39b1-4866-a678-ca573e89d077","resolution":{"observed_at":"2026-08-06T14:35:05.472311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.477216Z","title":"Civil rights act of 1964","venue":null,"work_id":null,"year":1964},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.477216Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:01e6cedd583079ec049ee31f500b4ceb0490b8d9998ab880ccdea6579dcbd4f7","observation_id":"b64438a4-a8e8-4a93-bea0-22502e19616c","resolution":{"observed_at":"2026-08-06T14:35:05.477216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.482407Z","title":"An empirical study on the survival rate of github projects","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.482407Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:c599c2a52ec26b2400e2d5267ba8d4330ab2c4c10836d87df9063576f30371da","observation_id":"547b9459-9f20-4468-9154-4a53503ba4ca","resolution":{"observed_at":"2026-08-06T14:35:05.482407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.488301Z","title":"A taxonomy and mapping of computer-based critiquing tools","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.488301Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:0d341afc9dfce7b15a2ce2987b332d616cfbbea5f1ccb431fd71132724473b6c","observation_id":"13a2d2ee-2982-4335-a544-11a6b06d9346","resolution":{"observed_at":"2026-08-06T14:35:05.488301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.494103Z","title":"Uncovering and mitigating algorithmic bias through learned latent structure","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.494103Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:b104cc8fb19f70ef472a6592ab8f6861b1d7032819612c76c257fc23b7339c94","observation_id":"4a6d2710-f29c-45b9-a162-02ecf971c572","resolution":{"observed_at":"2026-08-06T14:35:05.494103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.499091Z","title":"Capturing the relationship between sentence triplets for llm and human-generated texts to enhance sentence embeddings","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.499091Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:f7f8bbec7ae24cb352a508691c3b80f94f4041c6dfa56b28041700c9f92520ec","observation_id":"debe521a-6e09-4b0d-bb95-7611e38cc82e","resolution":{"observed_at":"2026-08-06T14:35:05.499091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.504653Z","title":"Themis: Automatically testing software for discrimination","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.504653Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:9f3aa75b38fbfb66dd78ed3b275a64a26b8aa000b0648686533a97fa15eec5b9","observation_id":"b76ad8a7-7c34-48f5-af50-55dd8381d64c","resolution":{"observed_at":"2026-08-06T14:35:05.504653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.511182Z","title":"Fairness tool evaluation submis- sion 0b7e","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.511182Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e0a9fbde0ae345f224cdc0888a91c6f378cb9f685175b38b77d1284c8a4636ba","observation_id":"d10647f4-0b9a-49a2-8f37-a33e31bbe313","resolution":{"observed_at":"2026-08-06T14:35:05.511182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.518415Z","title":"Data bias, intelligent systems and criminal justice outcomes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.518415Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:265b10d9ee6736e9be863861c747e3f246154d9f932a5f00e08a5bf61f2ff1d7","observation_id":"aeb74261-b4b7-49fa-8edf-d57827408e28","resolution":{"observed_at":"2026-08-06T14:35:05.518415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.523925Z","title":"Putting ai ethics to work: are the tools fit for purpose? AI and Ethics , 2(3):405–429, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.523925Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:d7a6b505bbf9cde5f87dbc449798a06de613e1c1efe4b75c03fd949924450949","observation_id":"3d763bba-a70d-447b-b765-f254a8d89a5a","resolution":{"observed_at":"2026-08-06T14:35:05.523925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03195","last_updated":"2023-05-04T22:46:43Z","snapshot_observed_at":"2026-07-06T15:23:29.240615Z","submitted_at":"2023-05-04T22:46:43Z","title":"Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing","version":1},"cited_work":{"arxiv_id":"2305.03195","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.03195","snapshot_observed_at":"2026-08-06T14:35:06.302391Z","title":"Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing","venue":"cs.CL","work_id":"b05da8df-4689-42a9-bf24-4ebe4f70e57e","year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.536220Z"},"links":{"cited_paper":"/paper/2305.03195","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:f750e43b5cf87b1dac9d78bc7ce26165d6ef3e76f5c9bd2b6c566de3902f2ecb","observation_id":"3685cef2-d4aa-4b8b-accb-c0d6874884f7","resolution":{"observed_at":"2026-08-06T14:35:06.307249Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.542208Z","title":"Themis-ml: A fairness-aware machine learning inter- face for end-to-end discrimination discovery and mitigation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.542208Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4ee0de4b4dde1729942228a90cbd297ff980638f9e594fa5c2f00e0801e36360","observation_id":"7767c380-04f3-4f2f-aecb-2b9c551fc572","resolution":{"observed_at":"2026-08-06T14:35:05.542208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.547047Z","title":"Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.547047Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:fe986194e69e8cb570f417d68f2c51bdeacffe5196620f1da62b61a7bf3afa92","observation_id":"94eb6f43-6167-4ae0-bca8-bfc597a619d4","resolution":{"observed_at":"2026-08-06T14:35:05.547047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.552423Z","title":"Social network- ing meets software development: Perspectives from github, msdn, stack exchange, and topcoder","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.552423Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:c77bad92bc92b0911c966a49b0fdea954de21cbd5ca1a3d82b58d404969a3669","observation_id":"c89c6845-3103-4c93-801e-420438bf9425","resolution":{"observed_at":"2026-08-06T14:35:05.552423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.559049Z","title":"Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.559049Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:167bdac910e0c93abb16643ff23a9714c96e5dbb15976af768dd025071754a74","observation_id":"f01a6255-3a1d-4e65-b886-330186ebeb1c","resolution":{"observed_at":"2026-08-06T14:35:05.559049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.564720Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.564720Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4c82bc0418087afb11f4caeebe447c2db0cbffcd7d6f445cebbd6d95fb7d5285","observation_id":"5070ab20-9794-4ad2-bcb6-3699c4ca39e2","resolution":{"observed_at":"2026-08-06T14:35:05.564720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.569238Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.569238Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:500a75817e53cdae28935b05a5d90cf55ab0e77798f25f74179ab065668a7f14","observation_id":"cf8dca04-d277-4307-9ce4-fc033b412765","resolution":{"observed_at":"2026-08-06T14:35:05.569238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.574265Z","title":"Fairlearn: A toolkit for assessing and improving fairness in ai","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.574265Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4d609a880a5aededab63a1015585e684294c5b41778e2b7df4d1696f70ba5e23","observation_id":"d48537ae-3ff3-41cf-919e-eef40b60b426","resolution":{"observed_at":"2026-08-06T14:35:05.574265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.578904Z","title":"Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.578904Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:656dc8aaddb46579dc3c37a39558f5aed751d00cbb445bb5103ced7c8c63bfd0","observation_id":"697144b7-159c-4cb3-8fc6-29f9e0ebba3f","resolution":{"observed_at":"2026-08-06T14:35:05.578904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.584552Z","title":"What’s in a github star? understanding repository starring practices in a social coding platform","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.584552Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:89722b4f9e9e824ea5fb5b6269e3a30a6c8445a46678a92242d4548ca2d5346f","observation_id":"fe8986a8-d76c-46af-b1ac-30b1642afd18","resolution":{"observed_at":"2026-08-06T14:35:05.584552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.588920Z","title":"Software fairness","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.588920Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:867afccdcae28944f69c3b1f9defc8fbc1703e53206c5f476bd32a3b7730f7eb","observation_id":"ad09427d-073c-45ae-8c8f-01edef29091e","resolution":{"observed_at":"2026-08-06T14:35:05.588920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.594242Z","title":"GraphQL in action","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.594242Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:a09848eae77e34f8ce8384463764d8500f2650f946a131e960d1a1ea9366e3cc","observation_id":"efe1bc3c-2965-4eec-99f1-a881f625306e","resolution":{"observed_at":"2026-08-06T14:35:05.594242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.600155Z","title":"Reuse and maintenance practices among divergent forks in three software ecosystems","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.600155Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:240172609ad66b004abf505a50ea2f3ad0c11d4c0c040c25100295dd07dcdd4d","observation_id":"305e776f-974e-4bee-9ad4-e681f4143a11","resolution":{"observed_at":"2026-08-06T14:35:05.600155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.604962Z","title":"A clarification of the nuances in the fairness metrics landscape","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.604962Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:8abf62ffaacb0a0f88e6976ca4c11af90a35e8cf49f9a169f320ef5d8c1be1f4","observation_id":"e88c09fe-bc60-4786-b63e-668f2567d530","resolution":{"observed_at":"2026-08-06T14:35:05.604962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.04053","last_updated":"2020-10-04T21:01:34Z","snapshot_observed_at":"2026-08-07T17:04:41.583081Z","submitted_at":"2020-10-04T21:01:34Z","title":"Fairness in Machine Learning: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.04053","snapshot_observed_at":"2026-08-06T14:35:05.610952Z","title":"Fairness in machine learning: A survey","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.610952Z"},"links":{"cited_paper":"/paper/2010.04053","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:11e76b1feece0cf91578ffc4dd1a0df9d6a45002d4145da25fcabbe65f1940c0","observation_id":"16d12389-5940-41fa-b240-aae2d7085bb5","resolution":{"observed_at":"2026-08-06T14:35:05.610952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.617430Z","title":"Fairness in machine learning: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.617430Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:d745f9b665841e99ac98beaaafbe9f8e1e8c8fed99662f8f1a62f6429854e49f","observation_id":"e0fe5a3b-4d9b-4ef8-99f6-eaa993e489b0","resolution":{"observed_at":"2026-08-06T14:35:05.617430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.622501Z","title":"A comprehensive empirical study of bias mitigation methods for machine learning classifiers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.622501Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e071a0ddbc7478ad9beda260d3c6c0a43bf0c5b56b70ba6e743600f6f006c60f","observation_id":"aee62d95-6354-4d0f-ae9a-5f8cdaa75d20","resolution":{"observed_at":"2026-08-06T14:35:05.622501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.627177Z","title":"Fairness improvement with multiple protected attributes: How far are we? In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering , pages 1–13, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.627177Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:9fd23da5985a414a8564b2b6db1288ba1de1492145fa5edc7ef4932104678515","observation_id":"fe184226-7643-4193-8893-209fffd4ae56","resolution":{"observed_at":"2026-08-06T14:35:05.627177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.632218Z","title":"Why modern open source projects fail","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.632218Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4d77d4d09af2c584146925738a04648d0ab9da5ff0cb6d26c238ddbe665beadb","observation_id":"d88859fd-bd9a-41cb-a5c7-73e2da9e8481","resolution":{"observed_at":"2026-08-06T14:35:05.632218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.637232Z","title":"Is this github project maintained? measuring the level of maintenance activity of open-source projects","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.637232Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4737322defc745532d2ae4f4319655c10bda704b1def43d8a64fd4c2ef82f2f1","observation_id":"30cea050-0791-46bf-96a5-aaed37fa8f2c","resolution":{"observed_at":"2026-08-06T14:35:05.637232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.641910Z","title":"Social coding in github: transparency and collaboration in an open software repository","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.641910Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:3ceceac89c688f86f2c2ed7a66e4b1c969793af364b2b22e726306c93a29106b","observation_id":"c73f430d-6307-46d7-bb6d-c24a427cfc1a","resolution":{"observed_at":"2026-08-06T14:35:05.641910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.646413Z","title":"Sampling projects in github for msr studies","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.646413Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:540d931defcb17e0b6e2ca589337e7a63a3715fd639c78815b44fcae87f0eadf","observation_id":"303edd0f-b9eb-4495-911c-68b1267316fb","resolution":{"observed_at":"2026-08-06T14:35:05.646413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.651626Z","title":"Equity, Diversity, and Inclusion in Software Engineering: Best Practices and Insights","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.651626Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e747bb4bf30becc19149140b6b5c154c3d2476872dcf81a011e313cbc8f0a5c6","observation_id":"3d5d3646-1e6d-4f0b-bee4-1c4e829d3de3","resolution":{"observed_at":"2026-08-06T14:35:05.651626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.656209Z","title":"Identifying and characterizing unmaintained projects in github","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.656209Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:73d162450ae373f10ef06021ec9a30a0098a5b14354093282eeda863b3161dfc","observation_id":"f317e2b1-9288-4693-8f5d-aae56010d029","resolution":{"observed_at":"2026-08-06T14:35:05.656209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.661100Z","title":"A taxonomy and catalog of runtime software-fault monitoring tools","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.661100Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:0bf935c2beffb3effe09ce810101d9e4ce19eca694258d555b072d7a9c8620db","observation_id":"60c5bd17-eff1-4ca6-85d9-1d4a0383198e","resolution":{"observed_at":"2026-08-06T14:35:05.661100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:05.665783Z","title":"Exploring how machine learning practitioners (try to) use fairness toolkits","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.665783Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:ebfa61ca1ee4e2b86d1290b94eeacda9861d027fd2e70dacd5df667ac59e42df","observation_id":"93d567d1-480a-4b54-a923-4aec3b649148","resolution":{"observed_at":"2026-08-06T14:35:05.665783Z","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":"2026-08-06T14:35:07.376228Z","title":"The eu ai act: a summary of its significance and scope","venue":null,"work_id":"2229d750-0649-4b9c-a394-90c9b9127e5f","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.670119Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:724fb24ff3d59d52b0b02855d76aff176b712882c8012b038fa5bbfe12f4afe6","observation_id":"014de452-19df-4acc-83d7-1ffd66697ea9","resolution":{"observed_at":"2026-08-06T14:35:07.380962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.360875Z","title":"Predicting long-time contributors for github projects using machine learning","venue":null,"work_id":"ee66069d-907e-4d58-ac73-da1f6c44793e","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.674727Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:501f411dd40f48f63b7cebf966ecf9f8cf31f49d515c1733aef36a2885b3c7de","observation_id":"e99c8a84-6f07-4731-be6b-5c4f0e45d4b4","resolution":{"observed_at":"2026-08-06T14:35:07.365594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.346494Z","title":"Certifying and removing dis- parate impact","venue":null,"work_id":"56486861-c621-4524-b21e-b3d0054bfa78","year":2015},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.679146Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:8d4b43eda1ec973412bb2db5a3151e7b7cec9bc88c7bd89bd61641413e6e9938","observation_id":"f1e601dd-6e90-41ba-aa8e-a1fdf737cc92","resolution":{"observed_at":"2026-08-06T14:35:07.350968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.331806Z","title":"Gender bias in translation using google translate: Problems and solution","venue":null,"work_id":"f2513900-cb20-40da-9bcf-adaabe392a83","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.683671Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:575692f2085ee63794d217517e02229c728e76a98456260cc569a3924036381c","observation_id":"2c20e7a1-40ae-443c-a56b-7aa3e1a9c6eb","resolution":{"observed_at":"2026-08-06T14:35:07.336639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.313537Z","title":"2020 survey of artificial general intelligence projects for ethics, risk, and policy","venue":null,"work_id":"503cb920-a20d-4a3b-9a94-9c253cabf074","year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.688269Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:b69cbebb96fd4b4bfe36ec1f7e8c65ce73a5fa5d1e8ea76b5966f379ab8fc06b","observation_id":"67dff084-e5b8-4a19-8ff1-13a106414811","resolution":{"observed_at":"2026-08-06T14:35:07.318839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.296219Z","title":"Practical and open source best practices for ethical machine learning","venue":null,"work_id":"7122cb4f-ea50-44b1-a928-859d099a2269","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.692476Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:8f77e016f2306e838d2c4febc283da6b2e8ff56e197b6d7062cc3cb5761b1f1c","observation_id":"c0823745-bbcd-4b6f-86aa-2211ef6bd99d","resolution":{"observed_at":"2026-08-06T14:35:07.301017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.277396Z","title":"Fairness testing: testing software for discrimination","venue":null,"work_id":"893af267-6f6b-4af4-a0bd-d3550f178f3c","year":2017},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.696867Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e06e43c387fd87e1a1639aa62ddcce521bc46a4409519156154f3df72d5c40ef","observation_id":"46b70a55-bb3f-436f-9895-101e2d2e2c16","resolution":{"observed_at":"2026-08-06T14:35:07.283299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09307","last_updated":"2025-05-27T04:53:52Z","snapshot_observed_at":"2026-08-05T00:35:17.002852Z","submitted_at":"2024-06-13T16:41:30Z","title":"What is Fair? Defining Fairness in Machine Learning for Health","version":5},"cited_work":{"arxiv_id":"2406.09307","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09307","snapshot_observed_at":"2026-08-06T14:35:06.264572Z","title":"What is Fair? Defining Fairness in Machine Learning for Health","venue":"cs.LG","work_id":"1c0d06ed-ddb0-4727-a189-618efb01c086","year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.700955Z"},"links":{"cited_paper":"/paper/2406.09307","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:7216b5daf73352d17e4317188f0a9dc7fa62af4d9e301b60e3a93958e739b8d5","observation_id":"c89015f8-a025-4b47-ad4c-34f6b534e9f1","resolution":{"observed_at":"2026-08-06T14:35:06.269661Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.262614Z","title":"Fairness metrics: A comparative analysis","venue":null,"work_id":"05b593bf-5bc8-45eb-b217-f60cf84525fc","year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.705746Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:588b05c128954844851174297feb341760c27752b8883bf74c2f422f3646faa8","observation_id":"a54b116e-f8b3-4c26-8a5a-d70db5fd6551","resolution":{"observed_at":"2026-08-06T14:35:07.267207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.246870Z","title":"Justicia: A stochastic sat approach to formally verify fairness","venue":null,"work_id":"9a0d7b54-017d-45c1-a952-ec15b05e18fe","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.711102Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4f17507041d04ba7bf979485e16ceb89ac630e8645b248313aebb3efeec8d3b4","observation_id":"bb7e1be5-cb47-4eec-b3ea-35a9671403a4","resolution":{"observed_at":"2026-08-06T14:35:07.252000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.230125Z","title":"The quest for open source projects that use uml","venue":null,"work_id":"91630731-82c5-4d29-8e9b-59ddaf4d6245","year":null},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.716398Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:8241c74cfe46c4ecc63e5508a592340df9d04c0998e4a00824b022dd896362bd","observation_id":"9d4fa57d-e687-4ae1-a14d-2810459c9ede","resolution":{"observed_at":"2026-08-06T14:35:07.235042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.213356Z","title":"Investigating labeler bias in face annotation for machine learning","venue":null,"work_id":"ffb3a2ee-5fa3-4e9a-8f5c-533459a83393","year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.721034Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:d667a3510279433fee7e4d52f336f5b030bcefe96e64c8bbf5639b778b0b58c3","observation_id":"1bd5749c-d018-41af-a0e1-ba837728b563","resolution":{"observed_at":"2026-08-06T14:35:07.218882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.194170Z","title":"Olf-ml: An offensive language framework for detection, categorization, and of- fense target identification using text processing and machine learning algorithms","venue":null,"work_id":"c95f60b9-60ac-419e-b2fc-77942393e1e7","year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.725425Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:f4038ee90490a05c51858bbf2b0964fd5229bde9343a689ab4b08027408c8c86","observation_id":"59ac072b-e658-4342-8d06-67c7fad4b699","resolution":{"observed_at":"2026-08-06T14:35:07.199832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.177380Z","title":"Same file, different changes: the potential of meta-maintenance on github","venue":null,"work_id":"6b37de6c-9007-4904-b3b9-a40e1c0f94fe","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.730330Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:cefdc9961a56271990ece48992b15c3c7ff07cd0baf64b8654fe41afcffef056","observation_id":"d3bd6595-315e-4868-bd79-d1cfaff081bd","resolution":{"observed_at":"2026-08-06T14:35:07.182023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.162551Z","title":"Fairea: A model behaviour mutation approach to benchmarking bias mitigation methods","venue":null,"work_id":"87f1deb9-06f9-4e75-9a9d-8f64e334eaba","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.734874Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:5ff61f1b2c873fb45e0522e2a679c73d093283b05eddfdc5773de2d4da7186ea","observation_id":"d118e1cd-0fdd-4491-8b4a-519b34752434","resolution":{"observed_at":"2026-08-06T14:35:07.167110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.147367Z","title":"Fairness-repository-mining-","venue":null,"work_id":"1654a248-07bf-451d-bc61-32f21c27e235","year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.739294Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:f95bfd50cada4dc76e7180681316c914d8c12befd012529dd04c1356fc1ece22","observation_id":"efd9a3aa-9418-41c9-a746-8ac05c5a6bab","resolution":{"observed_at":"2026-08-06T14:35:07.152241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.131319Z","title":"Fairness-repository-mining-","venue":null,"work_id":"9b3533e3-5470-4c59-adf5-cd5bedfbff50","year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.743900Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e9e276d148155c203871b93e4b450735f7c0b4ff9357f47ec87af1d99a371c7e","observation_id":"ca381fb7-5797-4067-87cb-3525a11d06c8","resolution":{"observed_at":"2026-08-06T14:35:07.136543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.116125Z","title":"Assurance of machine learning/tinyml in safety-critical domains","venue":null,"work_id":"0c21ec23-fdf9-43c4-a27a-1dc45249ead3","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.749185Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:3319e1a08ae5aaee27d98f22ae18020bf784e9548c68edc3a848c7cdad41889d","observation_id":"0672d94f-936d-44f3-a6ae-1b4a5c0dc67e","resolution":{"observed_at":"2026-08-06T14:35:07.120567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.101068Z","title":"Github projects","venue":null,"work_id":"b5b92b60-e1dd-4a26-a86d-5cd91732beab","year":2014},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.753346Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:914d9e80c3d5ac75fb4603f963bfed6cc3b82c393c595890afcbc16e2bb0e238","observation_id":"d49ffd3e-1032-4270-8cad-b121df271c44","resolution":{"observed_at":"2026-08-06T14:35:07.105496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.086268Z","title":"Availability and usage of platform- specific apis: A first empirical study","venue":null,"work_id":"f8d6c24d-d65c-4315-8007-6cf3c6bc15e3","year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.758200Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:99fdf602188d2fee3a1f6642ea728a2425a8409dda3023ed0553869745520b82","observation_id":"18d614b9-272e-4266-aa43-346a927649cc","resolution":{"observed_at":"2026-08-06T14:35:07.090589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09951","last_updated":"2020-12-17T21:59:29Z","snapshot_observed_at":"2026-08-05T14:54:50.272145Z","submitted_at":"2020-12-17T21:59:29Z","title":"Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models","version":1},"cited_work":{"arxiv_id":"2012.09951","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.09951","snapshot_observed_at":"2026-08-06T14:35:06.242058Z","title":"Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models","venue":"cs.LG","work_id":"279a1446-1efc-42b6-9a50-3f5ebc69fc37","year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.762569Z"},"links":{"cited_paper":"/paper/2012.09951","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:e0e4452af276614f6597969136eeff1401dc59495fbea01ed064a6c88a38688d","observation_id":"38e516a3-750f-48b8-9d36-2c8c0aaae84c","resolution":{"observed_at":"2026-08-06T14:35:06.247288Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.071434Z","title":"Make your tools sparkle with trust: The picse framework for trust in software tools","venue":null,"work_id":"89404de4-a997-4253-9152-62fcfbd2b011","year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.767302Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:b16fa6d411a5aa11915c12a47beb43502350fef85f6b9e0e824b90f9af3f02b3","observation_id":"ea42cecc-bd39-4a9b-93b0-b7f66704b363","resolution":{"observed_at":"2026-08-06T14:35:07.076139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.056378Z","title":"Fairkit-learn: a fairness evaluation and comparison toolkit","venue":null,"work_id":"b5f67867-2905-4754-9fbe-72b31782d457","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.771713Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:0f0f37a784d5555a8556c3b933c89af4fa7444a74361fce42d57d1d0e0fd4eea","observation_id":"87505a5d-2232-47ed-997d-a9a562f1bce7","resolution":{"observed_at":"2026-08-06T14:35:07.060934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.041274Z","title":"Towards ethical data-driven software: filling the gaps in ethics research & practice","venue":null,"work_id":"9f066a5b-a71c-4e9c-bbd6-ac0f768b98ba","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.775786Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:943feb717a8d908a673d4205be6420758d7565a6ea5d0d6b8d8b38044e7955a2","observation_id":"d137720e-b839-4696-a88f-f998ee12fc6e","resolution":{"observed_at":"2026-08-06T14:35:07.046061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.025748Z","title":"Decision theory for discrimination-aware classification","venue":null,"work_id":"79c72be6-a870-4d12-9e4b-2249d220773b","year":2012},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.780194Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:71c7f98c9fb6d40a0e8fd9b8541781ba97c3c13e719def68b1cb12557e2e6276","observation_id":"1353d4c8-b674-4831-a51a-287776b7aa62","resolution":{"observed_at":"2026-08-06T14:35:07.030857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:07.010402Z","title":"Fairness-aware classifier with prejudice remover regularizer","venue":null,"work_id":"1f5818ac-0ee1-4fe9-b2c6-fee5f582e149","year":2012},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.785394Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:2e6e5c98cc822464cba8996b2f47a0c0724bb4ca9aadafade2e4898bb13aa85d","observation_id":"4d92ba84-b5df-4485-87ad-90bd8cdd3362","resolution":{"observed_at":"2026-08-06T14:35:07.015215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.995174Z","title":"An overview of ethical issues in using ai systems in hiring with a case study of amazon’s ai based hiring tool","venue":null,"work_id":"035629ac-5d17-4b72-bd2b-b5cbb46c0436","year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.790341Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:6cdcf20c16ffbdd2a5c1e148db80861bff31e7fc2207172c6b12c162bbb8f46e","observation_id":"e81156b3-1a80-4c2c-ae53-99f76404545b","resolution":{"observed_at":"2026-08-06T14:35:06.999894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.979705Z","title":"A survey on datasets for fairness-aware machine learning","venue":null,"work_id":"422f8b2d-2afa-446d-8b32-bdcd2014222d","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.795655Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:8ee44a8434753bac777dbf7917d48f9cef6ec14f01f672bc3955ac85f2b96122","observation_id":"eb8e96c3-f608-443a-a47f-d35d1d22b02d","resolution":{"observed_at":"2026-08-06T14:35:06.984912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.963422Z","title":"The landscape and gaps in open source fairness toolkits","venue":null,"work_id":"fbb7dc49-2e4a-41fa-bffa-665ba60c246d","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.800363Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:6219f0b7442967a2d6d15024fa5d691c8c10e50ab7c0d9de2c1fb11a9fce6eda","observation_id":"bedd8c86-6771-47af-87b3-6b92b5a2142f","resolution":{"observed_at":"2026-08-06T14:35:06.968551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.947206Z","title":"The impact of gdpr on global technology development, 2019","venue":null,"work_id":"68c397fd-8ac6-4bd4-9cdc-b549a6a7ace6","year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.805405Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:ffd1ae6a40ebd96031734ae04e1e7a464f7b93b030e551d77196d1a967152dcf","observation_id":"d1a70151-4a83-49e2-8a4d-138ffa932282","resolution":{"observed_at":"2026-08-06T14:35:06.952735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.932303Z","title":null,"venue":null,"work_id":"dec1159d-e142-4c6d-a284-09e87c02fbe7","year":2000},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.810119Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:3f936ed3d1cb88e66c9434cc8cd3aa35250595f093ddeb0008d7295085a90f79","observation_id":"482859be-3802-4bcf-8d24-6645ee854e1c","resolution":{"observed_at":"2026-08-06T14:35:06.936815Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.916385Z","title":"The possessive investment in whiteness: How white people profit from identity politics","venue":null,"work_id":"37df803d-30c7-4a2d-a867-01a9eb750cd0","year":2006},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.814724Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:7f8b711f6616076390e4e0bfd95127331d3b1cff82c79680d3e7c01d9280f9a5","observation_id":"74a5e7ba-ee61-402b-96f5-bcb017e57a53","resolution":{"observed_at":"2026-08-06T14:35:06.921367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.900194Z","title":"Bias mitigation post-processing for individual and group fairness","venue":null,"work_id":"948eb958-239c-446a-a367-28fe08160daa","year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.819972Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:d1b22c856e383b072904c383943fa00756cc6583cb92faaf090b32affa5450e0","observation_id":"94e44f8b-7875-4ec0-887a-75c77969b6ee","resolution":{"observed_at":"2026-08-06T14:35:06.905580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.885319Z","title":"Assessing the fairness of ai systems: Ai practitioners’ processes, challenges, and needs for support","venue":null,"work_id":"7e3c9fd5-32de-4c0f-8adf-2577bb0ef057","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.824634Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:afb4584864e39c7a4513abec128cf242bf640708342f0012afd33c64520bc212","observation_id":"c9c7a924-3e26-4218-ac10-3a403f1db78c","resolution":{"observed_at":"2026-08-06T14:35:06.889972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.09553","last_updated":"2022-06-07T17:38:12Z","snapshot_observed_at":"2026-07-06T10:05:47.267562Z","submitted_at":"2020-10-19T14:28:55Z","title":"Survey on Causal-based Machine Learning Fairness Notions","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.09553","snapshot_observed_at":"2026-08-06T14:35:05.829399Z","title":"Survey on causal-based machine learning fairness notions","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.829399Z"},"links":{"cited_paper":"/paper/2010.09553","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:4ba34e43abf750c1a810b49500a04e44db11dc1cf978e076c07cf07e01bdfc2f","observation_id":"1fbaa55e-d1b8-4775-9b6f-6e342f8f7874","resolution":{"observed_at":"2026-08-06T14:35:05.829399Z","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":"2026-08-06T14:35:06.870753Z","title":"On the applicability of machine learning fairness notions","venue":null,"work_id":"96ed29b4-a6a1-4e18-9453-983b9bafe4c3","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.834526Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:066c4136bbb79e253eadff2e677eb358498a07233eec6a8c94f22a45ed2fdfb4","observation_id":"ba10c656-e5cb-437e-9601-f9a2803db696","resolution":{"observed_at":"2026-08-06T14:35:06.875525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.856102Z","title":"A tax- onomy of tools and approaches for fairification","venue":null,"work_id":"4ba4fbe5-7c68-4d1b-b693-115ebbb193ff","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.839299Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:7ca174b7b1d91aa5e5eaedb27b9667157b82a354dd2460e781d0fc157b600801","observation_id":"7b90d393-28d6-4a6d-a0d8-ab532c983c33","resolution":{"observed_at":"2026-08-06T14:35:06.860401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.841277Z","title":"Ethical issues in focus by the autonomous vehicles industry","venue":null,"work_id":"c70f9eff-2b17-4e6a-a151-0bd48f4ba281","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.843756Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:3742abc73a08226cc8f225af344796f757f972ff884e64d3bc4fc8557d175a67","observation_id":"210a1c31-b320-4da0-9102-44697742681b","resolution":{"observed_at":"2026-08-06T14:35:06.846138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.827115Z","title":"Mining co-change information to understand when build changes are necessary","venue":null,"work_id":"deb30d95-784c-4392-9cf2-8186644d903e","year":2014},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.848405Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:1e209daac1f20262439ed11da60ef9dbbc2f89dcc4e40bbafb9f585abb03fa2f","observation_id":"988a283e-c812-42fd-bd93-11f33fa8f6a3","resolution":{"observed_at":"2026-08-06T14:35:06.831421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.812087Z","title":"Statistical methods for reliability data","venue":null,"work_id":"86b0584b-a141-401f-8721-7b3c8e5af3fb","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.852704Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:a5b4c78cdb38076769aa55fa2b69dab7be44d16fa05e7210547ed138aefd234b","observation_id":"6c4f2304-ea2c-464f-8f10-6cbba1ecb76f","resolution":{"observed_at":"2026-08-06T14:35:06.816599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.795889Z","title":"A survey on bias and fairness in machine learning","venue":null,"work_id":"937390fb-260c-4422-8be1-a569b8b9f4e2","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.857347Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:7f69ec74491ff73f26f19e1497e22609bbe1090e4f9a6a82e394a668c119f695","observation_id":"d86608f1-65dd-44b2-bb8f-1652c3db6c32","resolution":{"observed_at":"2026-08-06T14:35:06.801715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.780622Z","title":"A taxonomy of machine learning fairness tool specifications, features and workflows","venue":null,"work_id":"7be54770-68d9-4d1f-bf80-8f840b294365","year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.862911Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:b53b808df741a9174a2cec445974cc831c84fac28db0f5ecbea424dcb6f394e7","observation_id":"628c632c-0f04-4cfc-ad9a-2eaf1a1ac7cd","resolution":{"observed_at":"2026-08-06T14:35:06.785385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.764129Z","title":"Peer interaction effectively, yet infrequently, enables programmers to discover new tools","venue":null,"work_id":"6962f704-a18d-4fba-a4f1-20992a6704c2","year":2011},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.867900Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:a6f7989a497381b43ccc5abaca88d96d9189450ab793492934e51e6748f0c411","observation_id":"cde4c25d-e5fb-4d39-93e4-18410edf92b2","resolution":{"observed_at":"2026-08-06T14:35:06.769304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.749740Z","title":"An automated approach to assess the similarity of github repositories","venue":null,"work_id":"725d6cd1-2a3d-43bf-93fc-d74aa55dce53","year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.872478Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:6dc3b24cae00a137d62518f6639a7e5da2ef7e97bb4828d025bae85e47a9c848","observation_id":"9cc0cc15-6d1a-4349-b208-8b58399ebefb","resolution":{"observed_at":"2026-08-06T14:35:06.754493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.734859Z","title":"From literature to practice: Exploring fairness testing tools for the software industry adoption","venue":null,"work_id":"3dbfdfd6-c6c1-483d-9b16-8e1daa1dc9de","year":2024},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.877384Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:aa6183fd2ddcf9fc57f3b74cf9d9c9a64fd7bac973cf1accf54d8f189a95a37e","observation_id":"7b9ff618-7caf-446c-ba57-ad596b032a35","resolution":{"observed_at":"2026-08-06T14:35:06.739386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.718671Z","title":"Assessing and mitigating bias in medical artificial intelligence: the effects of race and ethnicity on a deep learning model for ecg analysis","venue":null,"work_id":"0475a28e-61d9-4505-85c9-52056fa80fb0","year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.883282Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:125db2edb09c2a66c3a859785d9cca7a86ac2fb40401a6bf10b0bea136b033e6","observation_id":"981edce8-8d65-4976-8b90-497208909ffd","resolution":{"observed_at":"2026-08-06T14:35:06.724244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.703111Z","title":"Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods","venue":null,"work_id":"7dcf2c89-4f12-4fe7-87a3-5dd64c0c9ca6","year":2023},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.888717Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:a82ea8f28edb82ee33b5b4fb7f99ced7900904c3139fea2305608cc6c1c1394e","observation_id":"b8144a11-7f2f-4814-8cc5-5f207b580ed4","resolution":{"observed_at":"2026-08-06T14:35:06.707992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.687320Z","title":"Scikit-learn: Machine learning in python","venue":null,"work_id":"9942d850-076b-4993-ad90-e7ecf03a8c6e","year":2011},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.894211Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:84d4c46d8792af7f8533c373a91344e3a2557c1d28725f26b69c637e121bfe2d","observation_id":"25837898-0560-432b-871d-26d33a0e763f","resolution":{"observed_at":"2026-08-06T14:35:06.691957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.672571Z","title":"A review on fairness in machine learning","venue":null,"work_id":"3d742bcd-b82a-4305-82f5-a789c5680cfb","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.899222Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:5ce0b0df13578768cce13acc03bf42f636d04d1d652124f75a45ac5d6dd2371f","observation_id":"f9b5a11c-a38a-4156-a8fb-425afa5ca628","resolution":{"observed_at":"2026-08-06T14:35:06.677287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.657604Z","title":null,"venue":null,"work_id":"03cbaaaa-a893-4bc5-9ae4-4b7d66bad333","year":2022},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.904508Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:bde41fdb83e4fbbcaa4d9a751cb0e97badca1d25c1a376a35abc8e2681543123","observation_id":"c4b23e8f-8f1f-4326-9b3a-ce1f14672657","resolution":{"observed_at":"2026-08-06T14:35:06.662459Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.643278Z","title":"Towards fairness in practice: A practitioner-oriented rubric for evaluating fair ml toolkits","venue":null,"work_id":"2fc2a913-4c7f-422e-be24-22d290885771","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.910153Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:ffdcbdc9d734d22f8753afd4da68e96e9b86199e57b903e833b0fba62416bc16","observation_id":"7c5fb4d5-7b50-42ba-8d1f-4f72b8c72e71","resolution":{"observed_at":"2026-08-06T14:35:06.647712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05700","last_updated":"2021-12-10T17:51:20Z","snapshot_observed_at":"2026-08-07T13:51:49.895950Z","submitted_at":"2021-12-10T17:51:20Z","title":"A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions","version":1},"cited_work":{"arxiv_id":"2112.05700","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.05700","snapshot_observed_at":"2026-08-06T14:35:06.198338Z","title":"A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions","venue":"cs.AI","work_id":"b9106b07-8d54-4571-9a2f-f0c0e1552a13","year":2021},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.915364Z"},"links":{"cited_paper":"/paper/2112.05700","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:6d34ec6d47accc20aa17d8c4f48997574a20e7b44775e1de4a07e68d9dc343d5","observation_id":"0a4b1f41-8d75-496d-9f59-d9d5073b1684","resolution":{"observed_at":"2026-08-06T14:35:06.204127Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.628105Z","title":"Estimating development effort in free/open source software projects by mining software repos- itories: a case study of openstack","venue":null,"work_id":"e13f9020-51d3-4181-9a9b-6d86be337676","year":2014},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.920334Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:f70c9e8ece004cd61d9b52c2a0e351e6f0f660a5de0d5adae4555593960832a8","observation_id":"ff799b9d-bce1-4778-bc2c-27136ede3925","resolution":{"observed_at":"2026-08-06T14:35:06.632832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.612639Z","title":"{SourceFinder}: Finding malware {Source-Code} from publicly available repositories in {GitHub}","venue":null,"work_id":"6a8a192f-1378-4205-b9ed-7d8878565cc1","year":2020},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.925832Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:1403c3acfee1cfbdd92b206d0471dd788bd026eb6dc4ef5023dfab1ab364e312","observation_id":"da174c97-f125-4c7f-8ced-9f250a29d26a","resolution":{"observed_at":"2026-08-06T14:35:06.617738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.05577","last_updated":"2019-04-29T16:28:23Z","snapshot_observed_at":"2026-07-06T07:14:33.778676Z","submitted_at":"2018-11-14T00:34:01Z","title":"Aequitas: A Bias and Fairness Audit Toolkit","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.05577","snapshot_observed_at":"2026-08-06T14:35:05.931275Z","title":"Aequitas: A bias and fairness audit toolkit","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.931275Z"},"links":{"cited_paper":"/paper/1811.05577","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:2befe2a8f5ed50fb61ba83dd7a771ec1818f67defd1473d9c4e8c411ed791aa2","observation_id":"bfc9b121-8130-4420-8662-b189ff180f73","resolution":{"observed_at":"2026-08-06T14:35:05.931275Z","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":"2026-08-06T14:35:06.597821Z","title":"Towards mining norms in open source software repositories","venue":null,"work_id":"fbb4095b-ac24-4ad4-83b1-5059d1d30a4a","year":2013},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.936824Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:609eada3068deb3b8d8d2a1a1bc267dae2f95f7b41b67befadb6120716b82220","observation_id":"a2398dc1-1840-4b26-b619-27126a7dcf80","resolution":{"observed_at":"2026-08-06T14:35:06.602394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.581835Z","title":"Discriminatory effect and the fair housing act","venue":null,"work_id":"e24b473b-5103-42a8-940c-7e81e9975faf","year":1978},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.941539Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:dd6eed2e7d8fe43e20e644aa140178b9b2ee62c7ba83fd50c8149b628e56fcfa","observation_id":"ca7f3341-ef1d-43cc-93a9-7a0e5073028d","resolution":{"observed_at":"2026-08-06T14:35:06.587083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:35:06.567364Z","title":"Towards efficient software engineering in the era of ai and ml: Best practices and challenges","venue":null,"work_id":"59fa7bff-1015-4f85-a35e-c75b48d61b3a","year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.946623Z"},"links":{"citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:18bd131386491bbaa37731dde021291e04b2fa5c96dfb641173f501617d68b50","observation_id":"ddce4f8f-e782-489b-9c40-b70263048e52","resolution":{"observed_at":"2026-08-06T14:35:06.571639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-06T14:35:04.769035Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":45,"verified_exact":4,"verified_fuzzy":51},"total_outbound_references":120},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 0 inbound Pith citation observations for arXiv:2507.18726."}