{"as_of":"2026-08-09T21:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:49e17270909cd8b585e8f108836da42304d629069c5b4856d5c03f9e76508692","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:40:41.193745Z","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":"2026-07-04T03:39:29.431920Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-08-08T17:40:41.193745Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05870","last_updated":"2025-02-09T12:13:15Z","snapshot_observed_at":"2026-08-08T17:34:09.343663Z","submitted_at":"2025-02-09T12:13:15Z","title":"Understanding Design Fixation in Generative AI","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-08T17:40:41.193745Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2502.05870"},"observation_digest":"sha256:24fa56b777389748b4c18c029855e7713814fa6d598b74eb01ae9048521eb904","observation_id":"347e12d9-55a4-4cb8-923b-e47f14172a91","resolution":{"observed_at":"2026-08-08T17:40:41.193745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-08-08T12:10:43.504330Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07628","last_updated":"2025-02-12T14:08:50Z","snapshot_observed_at":"2026-08-09T14:07:51.307116Z","submitted_at":"2025-02-11T15:16:58Z","title":"HarmonyCut: Supporting Creative Chinese Paper-cutting Design with Form and Connotation Harmony","version":2},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-08-08T12:10:43.504330Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2502.07628"},"observation_digest":"sha256:8ed755ccbad3b07adfb7e531d4f438f8e617c9a0bd35f156b3d3c0f0f13c33fc","observation_id":"ab07b891-4aec-44e5-9509-95186039adfd","resolution":{"observed_at":"2026-08-08T12:10:43.504330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-08-07T13:43:41.526577Z","title":"Bias in generative ai","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21819","last_updated":"2025-05-27T23:02:54Z","snapshot_observed_at":"2026-08-09T16:13:09.830404Z","submitted_at":"2025-05-27T23:02:54Z","title":"Representative Language Generation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:43:41.526577Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2505.21819"},"observation_digest":"sha256:f950fb14b6a514c42e256beb713619591ed35a5fa48cd662daa84874811f2989","observation_id":"8a5c9e3c-bf5e-4496-bc25-94884ae5c9f9","resolution":{"observed_at":"2026-08-07T13:43:41.526577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-08-07T10:55:19.652752Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03993","last_updated":"2025-06-04T14:18:32Z","snapshot_observed_at":"2026-08-09T04:23:53.856180Z","submitted_at":"2025-06-04T14:18:32Z","title":"Words of Warmth: Trust and Sociability Norms for over 26k English Words","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T10:55:19.652752Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2506.03993"},"observation_digest":"sha256:1ce24b5d6b02b0ed5282154d4158a4fe5209e0487ff9424f7f08006df1c975c1","observation_id":"9dceec73-f500-476d-8598-a6f3df0e987a","resolution":{"observed_at":"2026-08-07T10:55:19.652752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-08-06T20:21:42.062344Z","title":"Bias in generative ai","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.03257","last_updated":"2025-08-02T03:59:32Z","snapshot_observed_at":"2026-08-06T20:12:16.781423Z","submitted_at":"2025-07-04T02:25:36Z","title":"LACONIC: A 3D Layout Adapter for Controllable Image Creation","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T20:21:42.062344Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2507.03257"},"observation_digest":"sha256:ce05e1952f753b3edfaed718b41fceb5f9ceba4031fbd9653c7491061f8d61f1","observation_id":"6bf3d3d0-b59f-4f66-9583-87804b17ffc4","resolution":{"observed_at":"2026-08-06T20:21:42.062344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":"2403.02726","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-07-04T03:39:29.431920Z","title":"Bias in generative ai","venue":null,"work_id":"f0cc2a8a-d957-4079-b95b-5cd45e326270","year":2024},"citing_paper":{"arxiv_id":"2508.20640","last_updated":"2026-04-11T07:27:48Z","snapshot_observed_at":"2026-07-06T22:19:58.210578Z","submitted_at":"2025-08-28T10:38:13Z","title":"CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-18T20:45:11.045881Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2508.20640"},"observation_digest":"sha256:b93f9612bac7c64fcf4d7b9047d207e1afc2cb2a81a5e4d45bb5ef2c602c9cb8","observation_id":"57513a98-8555-43a8-8cbc-8f6561095a8e","resolution":{"observed_at":"2026-05-18T20:46:51.473232Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-08-02T22:51:31.337608Z","title":"Bias in generative ai.arXiv preprint arXiv:2403.02726,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16065","last_updated":"2026-06-26T00:44:59Z","snapshot_observed_at":"2026-08-08T10:24:22.445959Z","submitted_at":"2026-02-17T22:38:18Z","title":"Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-02T22:51:31.337608Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2602.16065"},"observation_digest":"sha256:de4e70fcc6091ac6406aa156a1a4abdfe8fe24b2825a098e161331e1c980937d","observation_id":"fea741e6-1c88-424c-9151-05bc83426b09","resolution":{"observed_at":"2026-08-02T22:51:31.337608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI","version":1},"cited_work":{"arxiv_id":"2403.02726","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.02726","snapshot_observed_at":"2026-07-04T03:39:29.431920Z","title":"Bias in generative ai","venue":null,"work_id":"f0cc2a8a-d957-4079-b95b-5cd45e326270","year":2024},"citing_paper":{"arxiv_id":"2606.20241","last_updated":"2026-06-18T13:52:37Z","snapshot_observed_at":"2026-08-04T03:01:55.342021Z","submitted_at":"2026-06-18T13:52:37Z","title":"BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T17:53:46.206401Z"},"links":{"cited_paper":"/paper/2403.02726","citing_paper":"/paper/2606.20241"},"observation_digest":"sha256:b36eabbc877ecf80932aa1c694fa7a82717220cd8f728dff27f2fa61a2408394","observation_id":"442030d1-415e-410b-93f6-64a25376d8d5","resolution":{"observed_at":"2026-07-04T03:39:29.434112Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.02726/citation-record","integrity":"/paper/2403.02726/integrity","json":"/paper/2403.02726/citation-record.json","paper":"/paper/2403.02726"},"outbound":[],"paper":{"arxiv_id":"2403.02726","last_updated":"2024-03-05T07:34:41Z","latest_version":1,"primary_category":"econ.GN","snapshot_observed_at":"2026-08-08T18:03:38.031068Z","submitted_at":"2024-03-05T07:34:41Z","title":"Bias in Generative AI"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.02726."}