{"as_of":"2026-08-08T16:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7e4e0f1281fce35bbdc3ac72254a164983c05ac3637371048d6d9c55937f30fe","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:12:25.231885Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T10:27:56.884365Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2303.09014","last_updated":"2023-03-16T01:04:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-16T01:04:45Z","title":"ART: Automatic multi-step reasoning and tool-use for large language models","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-16T19:03:05.597295Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2303.09014"},"observation_digest":"sha256:17d2da4250f819be3436e00f9f21727a08005c43cfa6f8817cbe5645b478b0bd","observation_id":"a3e725d0-7ee9-404d-8c8f-b7bece085abc","resolution":{"observed_at":"2026-05-16T19:03:06.108202Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2305.06161","last_updated":"2023-12-13T14:44:10Z","snapshot_observed_at":"2026-07-06T15:25:35.930688Z","submitted_at":"2023-05-09T08:16:42Z","title":"StarCoder: may the source be with you!","version":2},"reference_index":265,"source":"arxiv_source","source_observed_at":"2026-05-10T23:32:59.517389Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2305.06161"},"observation_digest":"sha256:77cb9a399d116bf39c242a5ef8bd9337659fd61bf53a6f58b7650814f70df8d5","observation_id":"e94d7d02-17a2-4a2f-8877-f53054e2abdb","resolution":{"observed_at":"2026-05-10T23:33:01.066274Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2401.05561","last_updated":"2024-09-30T10:17:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-10T22:07:21Z","title":"TrustLLM: Trustworthiness in Large Language Models","version":6},"reference_index":174,"source":"pdf_text","source_observed_at":"2026-05-18T11:17:08.108565Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2401.05561"},"observation_digest":"sha256:0ad95437185d30a501fc15a19325ed9d593983f8f83adfde61ce3d4bc414f3f6","observation_id":"536320ea-f51b-4697-b77b-f16e69b76bfb","resolution":{"observed_at":"2026-05-18T11:17:08.548962Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2411.10636","last_updated":"2026-05-16T10:47:08Z","snapshot_observed_at":"2026-07-06T19:51:14.080262Z","submitted_at":"2024-11-16T00:04:45Z","title":"Mitigating Extrinsic Gender Bias for Bangla Classification Tasks","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-23T17:37:19.934268Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2411.10636"},"observation_digest":"sha256:d9e3bca696ec4a3be452eb67bba0e9013456b1223bdf05cad9b26caddf5bb4af","observation_id":"6a941e34-c576-48c6-bbe9-993aba3eb63a","resolution":{"observed_at":"2026-05-23T17:38:15.605517Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2411.10915","last_updated":"2026-05-01T02:07:46Z","snapshot_observed_at":"2026-07-06T19:51:28.494860Z","submitted_at":"2024-11-16T23:54:53Z","title":"Bias in Large Language Models: Origin, Evaluation, and Mitigation","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-23T17:08:09.267577Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2411.10915"},"observation_digest":"sha256:d852b63b8021e127f33917343cbbb29ab1a100ae4250e4da0adfc0463c64de1e","observation_id":"8e2057fe-491b-407c-b73c-9f7c21eb4626","resolution":{"observed_at":"2026-05-23T17:08:12.426991Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-07T15:12:25.231885Z","title":"Measuring and reducing gendered correlations in pre-trained models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.17131","last_updated":"2025-05-22T01:59:54Z","snapshot_observed_at":"2026-08-07T23:47:01.265288Z","submitted_at":"2025-05-22T01:59:54Z","title":"Relative Bias: A Comparative Framework for Quantifying Bias in LLMs","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T15:12:25.231885Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2505.17131"},"observation_digest":"sha256:0bf7e72840d83da52626a60b0d49ee165987799da208df02d1cb5b0a5e8c9c12","observation_id":"91b9fee3-05ff-4342-92ce-8b9e21dd9b7b","resolution":{"observed_at":"2026-08-07T15:12:25.231885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-07T14:34:31.603060Z","title":"Measuring and reducing gendered correlations in pre-trained models.arXiv preprint arXiv:2010.06032,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.18425","last_updated":"2025-05-23T23:29:12Z","snapshot_observed_at":"2026-08-07T14:29:22.946818Z","submitted_at":"2025-05-23T23:29:12Z","title":"Advertising in AI systems: Society must be vigilant","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:31.603060Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2505.18425"},"observation_digest":"sha256:661676e5e71a0da4ed7683dd13deeb91fa06d25687ad7ff0bc41bdcf461a28ca","observation_id":"0f165937-d155-42e6-a762-c1d75940fb27","resolution":{"observed_at":"2026-08-07T14:34:31.603060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-07T14:20:40.193273Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.19327","last_updated":"2025-05-25T21:26:18Z","snapshot_observed_at":"2026-08-07T14:14:20.405594Z","submitted_at":"2025-05-25T21:26:18Z","title":"Paying Alignment Tax with Contrastive Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T14:20:40.193273Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2505.19327"},"observation_digest":"sha256:df203d79e4ce4680f5d02b4e0cb253f598def5b3878b93bd7c5018f4403c5a74","observation_id":"c7269381-3974-4ce4-aa7b-b97e18cab81d","resolution":{"observed_at":"2026-08-07T14:20:40.193273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-07T10:19:40.636450Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05610","last_updated":"2025-06-05T21:45:59Z","snapshot_observed_at":"2026-08-07T10:11:28.664754Z","submitted_at":"2025-06-05T21:45:59Z","title":"Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T10:19:40.636450Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2506.05610"},"observation_digest":"sha256:297de51345eae928480e66dd83c5cacb070f257deddb641eb11c0d823fd8bb12","observation_id":"cdbb6702-9ac1-46e7-a791-956bd5f48434","resolution":{"observed_at":"2026-08-07T10:19:40.636450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-06T22:11:52.837799Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.22372","last_updated":"2025-06-27T16:39:12Z","snapshot_observed_at":"2026-08-06T22:03:08.535042Z","submitted_at":"2025-06-27T16:39:12Z","title":"Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T22:11:52.837799Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2506.22372"},"observation_digest":"sha256:7608266d498e45b6f7230952b6809ae1cba9697b9a8c50d3c39f7941a2004eab","observation_id":"8fa49dc5-bcb0-457b-add9-ee2069436618","resolution":{"observed_at":"2026-08-06T22:11:52.837799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-06T21:54:43.846282Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.23111","last_updated":"2025-06-29T06:31:06Z","snapshot_observed_at":"2026-08-08T08:47:10.963997Z","submitted_at":"2025-06-29T06:31:06Z","title":"FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T21:54:43.846282Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2506.23111"},"observation_digest":"sha256:e8480577090bc15fbc3447e6fc9a7046bdf42994f2bdcecd83375d39de95da5a","observation_id":"12aee931-70de-4b26-bde7-bbf320d41e1a","resolution":{"observed_at":"2026-08-06T21:54:43.846282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-06T20:20:50.087977Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.03142","last_updated":"2025-07-03T19:45:01Z","snapshot_observed_at":"2026-08-06T20:15:08.268397Z","submitted_at":"2025-07-03T19:45:01Z","title":"From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T20:20:50.087977Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2507.03142"},"observation_digest":"sha256:4ab1e02e721d6b7378bdd24c6be736e20c95bfd0696be919aac8eb6451eb2d5e","observation_id":"2b51e76e-6fcf-4b29-b8fc-8659b12d50a5","resolution":{"observed_at":"2026-08-06T20:20:50.087977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-06T13:56:22.403345Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.19962","last_updated":"2025-07-26T14:24:19Z","snapshot_observed_at":"2026-08-07T23:47:33.973742Z","submitted_at":"2025-07-26T14:24:19Z","title":"KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T13:56:22.403345Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2507.19962"},"observation_digest":"sha256:902bccca9a4e981102131297ed02e0a173b4346e94156786f546eda2c352bd69","observation_id":"b3dab8cd-b76d-4df0-8597-301f1f636e9e","resolution":{"observed_at":"2026-08-06T13:56:22.403345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-06T04:16:44.671533Z","title":"Neural network acceptability judgments","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.03685","last_updated":"2025-08-05T17:55:20Z","snapshot_observed_at":"2026-08-08T11:44:38.497943Z","submitted_at":"2025-08-05T17:55:20Z","title":"No LLM Solved Yu Tsumura's 554th Problem","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T04:16:44.671533Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2508.03685"},"observation_digest":"sha256:69f285003e1b5f46df48ebb024f7531f1d48508e955f331c5cc60309da0ad125","observation_id":"14a23f3d-a247-4604-8cf6-f3bb52951f0d","resolution":{"observed_at":"2026-08-06T04:16:44.671533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-05T12:32:14.068885Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.01535","last_updated":"2025-09-09T04:01:50Z","snapshot_observed_at":"2026-08-05T12:32:10.656133Z","submitted_at":"2025-09-01T15:13:15Z","title":"CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T12:32:14.068885Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2509.01535"},"observation_digest":"sha256:2984290a9e593f72729f6956c4fc5654e1bca93ab8354bfb86bd217bce9cc9be","observation_id":"a21c4733-c3db-4fa1-8abe-e399068601ca","resolution":{"observed_at":"2026-08-05T12:32:14.068885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2604.05483","last_updated":"2026-04-07T06:24:01Z","snapshot_observed_at":"2026-07-31T18:25:32.095461Z","submitted_at":"2026-04-07T06:24:01Z","title":"Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T18:30:17.607269Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2604.05483"},"observation_digest":"sha256:7680314ff5c6cd073c3019e67590acb98453f21e6ea6e661264537322930d96c","observation_id":"539bc654-8786-4e9f-a9cc-209e1f2aaa82","resolution":{"observed_at":"2026-05-11T00:30:51.237627Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2605.02640","last_updated":"2026-06-01T13:27:17Z","snapshot_observed_at":"2026-08-02T21:03:24.601020Z","submitted_at":"2026-05-04T14:26:28Z","title":"Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-01T00:12:46.618473Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2605.02640"},"observation_digest":"sha256:f6f3a6fb219c33ca6746637ab03c03cf171b0ef159b8533ca88a4eb617b15757","observation_id":"e6bddfa8-9a48-4ef6-aca3-e0d0c42b92c3","resolution":{"observed_at":"2026-07-01T00:15:09.115477Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2605.10442","last_updated":"2026-05-12T10:07:26Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:12:28Z","title":"StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs","version":1},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-05-12T04:50:17.399580Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2605.10442"},"observation_digest":"sha256:95653ef947abccbba29fa4cef2c060df5f5c74bc8b279410f20371b0d9b8f25d","observation_id":"5a854764-f808-4ebe-a4cf-cd52414ed4ad","resolution":{"observed_at":"2026-05-12T05:51:27.225757Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2605.10442","last_updated":"2026-05-12T10:07:26Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:12:28Z","title":"StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs","version":2},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-05-13T07:20:32.494840Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2605.10442"},"observation_digest":"sha256:09d97a5cd91ebbe77e39c4e7ca14a7d5d497c689aac94de5edf0c67745dca228","observation_id":"43e5508c-fa84-4cae-8aff-95ecb3dd9740","resolution":{"observed_at":"2026-05-13T07:22:28.976271Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2605.16113","last_updated":"2026-05-15T15:58:10Z","snapshot_observed_at":"2026-08-05T03:54:45.109264Z","submitted_at":"2026-05-15T15:58:10Z","title":"DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-20T19:02:47.017761Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2605.16113"},"observation_digest":"sha256:bd90f7e76ab2464e99239b74baa7b47a338bbbaf06d59f947332ff244f8b0f1d","observation_id":"0397a2e1-802a-4e21-8eaf-3a1e7007b029","resolution":{"observed_at":"2026-05-20T19:03:39.504561Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2010.06032","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-07-03T10:27:56.884365Z","title":"Measuring and reducing gendered cor relations in pre-trained models","venue":null,"work_id":"928cecf0-d232-4d61-b0f8-c336561d7797","year":2020},"citing_paper":{"arxiv_id":"2606.12088","last_updated":"2026-06-10T13:49:27Z","snapshot_observed_at":"2026-08-08T11:04:50.360227Z","submitted_at":"2026-06-10T13:49:27Z","title":"Debiasing Without Protected Attributes: Latent Concept Erasure from Textual Profiles","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-06-27T09:59:03.180341Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2606.12088"},"observation_digest":"sha256:0826702ec11576268cf204e6933412cc6799b308d122365c5454d3eda4f0f909","observation_id":"68d91503-4689-46b4-95a0-123ba797fd99","resolution":{"observed_at":"2026-07-03T10:27:56.886826Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.06032","snapshot_observed_at":"2026-08-07T01:00:03.678214Z","title":"arXiv preprint arXiv:2010.06032 , year=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.05188","last_updated":"2026-07-31T19:16:53Z","snapshot_observed_at":"2026-08-08T16:14:19.944643Z","submitted_at":"2026-07-31T19:16:53Z","title":"Position: It's Time to Optimize LLMs for Self-Consistency","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T01:00:03.678214Z"},"links":{"cited_paper":"/paper/2010.06032","citing_paper":"/paper/2608.05188"},"observation_digest":"sha256:880dbe1b317e9ee0d489b6eb24422849fca98bef950d5738950a1e62c3a49a36","observation_id":"42495f78-5459-4bbb-86fe-7db80ebfaa70","resolution":{"observed_at":"2026-08-07T01:00:03.678214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2010.06032/citation-record","integrity":"/paper/2010.06032/integrity","json":"/paper/2010.06032/citation-record.json","paper":"/paper/2010.06032"},"outbound":[],"paper":{"arxiv_id":"2010.06032","last_updated":"2021-03-02T21:04:26Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T10:03:46.733926Z","submitted_at":"2020-10-12T21:15:29Z","title":"Measuring and Reducing Gendered Correlations in Pre-trained Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2010.06032."}