{"as_of":"2026-08-07T21:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2c6da9a73f391681afb1e487daae7d1dfb034deb5e377398f315363414c4867","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:52:39.716467Z","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":"2026-07-02T19:37:19.441093Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":"2002.03938","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.03938","snapshot_observed_at":"2026-07-02T19:37:19.441093Z","title":"Distribution approximation and statisti- cal estimation guarantees of generative adversarial networks","venue":null,"work_id":"23ae6608-4c20-4f94-b4d1-f77341ce68b3","year":2002},"citing_paper":{"arxiv_id":"2506.10959","last_updated":"2026-05-17T06:09:13Z","snapshot_observed_at":"2026-07-06T21:41:14.693158Z","submitted_at":"2025-06-12T17:56:26Z","title":"Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-22T00:36:47.002107Z"},"links":{"cited_paper":"/paper/2002.03938","citing_paper":"/paper/2506.10959"},"observation_digest":"sha256:ed431d86bd39de11b4522b45abd486e22d8ff148fa51d47b31c452b89b86cf24","observation_id":"ef8c4884-d6e9-451c-a582-8444ff476d75","resolution":{"observed_at":"2026-05-22T00:40:51.777723Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.03938","snapshot_observed_at":"2026-08-06T17:52:39.716467Z","title":"://arxiv.org/abs/2002.03938, arXiv: 2002.03938","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.09916","last_updated":"2026-08-01T06:41:50Z","snapshot_observed_at":"2026-08-07T07:14:36.714526Z","submitted_at":"2025-07-14T04:41:49Z","title":"Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion model","version":4},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T17:52:39.716467Z"},"links":{"cited_paper":"/paper/2002.03938","citing_paper":"/paper/2507.09916"},"observation_digest":"sha256:3d0a1af41dcfbc45bdf7ed0309ed203dd6f78b67c684390a205f422cc69b17ca","observation_id":"e4ebf43b-3af1-44c5-9aa8-f0cdd884d42b","resolution":{"observed_at":"2026-08-06T17:52:39.716467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.03938","snapshot_observed_at":"2026-08-03T17:55:12.923105Z","title":"Distribution approximation and statistical estimation guarantees of generative adversarial networks, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.08022","last_updated":"2026-07-31T13:18:23Z","snapshot_observed_at":"2026-08-07T21:39:22.407284Z","submitted_at":"2025-12-08T20:34:05Z","title":"Provable Diffusion Posterior Sampling for Bayesian Inversion","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-03T17:55:12.923105Z"},"links":{"cited_paper":"/paper/2002.03938","citing_paper":"/paper/2512.08022"},"observation_digest":"sha256:d874504a407edf45f1ac5fa622804dfc0fed81836f578ce857ca6b3d99f5fade","observation_id":"7a5731b0-e15b-48dd-aab6-8b6e01f8686b","resolution":{"observed_at":"2026-08-03T17:55:12.923105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":"2002.03938","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.03938","snapshot_observed_at":"2026-07-02T19:37:19.441093Z","title":"Distribution approximation and statisti- cal estimation guarantees of generative adversarial networks","venue":null,"work_id":"23ae6608-4c20-4f94-b4d1-f77341ce68b3","year":2002},"citing_paper":{"arxiv_id":"2606.01002","last_updated":"2026-05-31T04:37:44Z","snapshot_observed_at":"2026-08-01T06:23:39.681602Z","submitted_at":"2026-05-31T04:37:44Z","title":"Theoretical Analysis of Engression and Reverse Markov Engression","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-28T16:58:54.134360Z"},"links":{"cited_paper":"/paper/2002.03938","citing_paper":"/paper/2606.01002"},"observation_digest":"sha256:691ee36cf548a99f19e79f6e9984f0a5585ce2b2c1cc094ba5e91f9c00c89282","observation_id":"e14c6a98-d0d9-4ada-9e09-73875d7ffd5d","resolution":{"observed_at":"2026-06-28T17:02:24.250629Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":"2002.03938","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.03938","snapshot_observed_at":"2026-07-02T19:37:19.441093Z","title":"Distribution approximation and statisti- cal estimation guarantees of generative adversarial networks","venue":null,"work_id":"23ae6608-4c20-4f94-b4d1-f77341ce68b3","year":2002},"citing_paper":{"arxiv_id":"2606.06930","last_updated":"2026-06-05T05:46:48Z","snapshot_observed_at":"2026-07-06T23:46:42.693840Z","submitted_at":"2026-06-05T05:46:48Z","title":"Testing Equality of Conditional Distributions via Generative Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-27T21:25:10.038196Z"},"links":{"cited_paper":"/paper/2002.03938","citing_paper":"/paper/2606.06930"},"observation_digest":"sha256:51d62512330c2fc44815d1b448704e4a4b5024dd6df397220326135a85f9160b","observation_id":"1154f49e-8675-4f5b-b6fb-12b7dce29bf7","resolution":{"observed_at":"2026-07-02T19:37:19.442805Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.03938","snapshot_observed_at":"2026-08-01T20:21:43.334051Z","title":"arXiv preprint arXiv:2002.03938 , year=","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.16685","last_updated":"2026-07-18T07:38:20Z","snapshot_observed_at":"2026-08-05T20:32:15.179151Z","submitted_at":"2026-07-18T07:38:20Z","title":"Semi-Supervised Conditional Diffusion via Label Augmentation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T20:21:43.334051Z"},"links":{"cited_paper":"/paper/2002.03938","citing_paper":"/paper/2607.16685"},"observation_digest":"sha256:e33da61872b9540f962e7972eb562bee603f0b67beeaee817ed4fc3c95df295b","observation_id":"094a41ff-f6bf-4566-bd75-bd9c76819b65","resolution":{"observed_at":"2026-08-01T20:21:43.334051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2002.03938/citation-record","integrity":"/paper/2002.03938/integrity","json":"/paper/2002.03938/citation-record.json","paper":"/paper/2002.03938"},"outbound":[],"paper":{"arxiv_id":"2002.03938","last_updated":"2022-07-21T01:36:31Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:56:13.036996Z","submitted_at":"2020-02-10T16:47:57Z","title":"Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.03938."}