{"as_of":"2026-08-23T19:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a20e02cbf4b77c40c1ca496cf71721ef487fa648a94b45598ef1c5e708296909","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":"2026-08-23T06:30:58.430688+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":"2026-08-12T19:14:18.219799Z","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":"2026-05-16T20:21:13.514403Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.05290","snapshot_observed_at":"2026-08-12T19:14:18.219799Z","title":"Removing structured noise with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10932","last_updated":"2024-11-17T01:34:57Z","snapshot_observed_at":"2026-08-15T14:05:04.782601Z","submitted_at":"2024-11-17T01:34:57Z","title":"Constrained Diffusion with Trust Sampling","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T19:14:18.219799Z"},"links":{"cited_paper":"/paper/2302.05290","citing_paper":"/paper/2411.10932"},"observation_digest":"sha256:be74cd8440ef80c22188fff63052a2a10d0d771e0d2b5f5ba1d473a324146c3b","observation_id":"3ce8b91c-8585-42c4-b1c6-073b04767f6c","resolution":{"observed_at":"2026-08-12T19:14:18.219799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.05290","snapshot_observed_at":"2026-08-11T20:40:02.191420Z","title":"Removing structured noise with diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05582","last_updated":"2024-12-07T08:26:00Z","snapshot_observed_at":"2026-08-20T14:56:51.955010Z","submitted_at":"2024-12-07T08:26:00Z","title":"DM-SBL: Channel Estimation under Structured Interference","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:40:02.191420Z"},"links":{"cited_paper":"/paper/2302.05290","citing_paper":"/paper/2412.05582"},"observation_digest":"sha256:1a23de3bc88bb65c9ff8a51d9771c0dddb02a1ace92e652d60a48b0a1ba79abe","observation_id":"a6d3e430-ba28-4ded-bb67-5b0c90c4f320","resolution":{"observed_at":"2026-08-11T20:40:02.191420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.05290","snapshot_observed_at":"2026-08-10T23:43:35.642183Z","title":"S.; van Gorp, H.; Meral, F","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20045","last_updated":"2024-12-28T06:17:44Z","snapshot_observed_at":"2026-08-19T22:27:25.654886Z","submitted_at":"2024-12-28T06:17:44Z","title":"Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T23:43:35.642183Z"},"links":{"cited_paper":"/paper/2302.05290","citing_paper":"/paper/2412.20045"},"observation_digest":"sha256:ea5e14dd6cbf7c012337d5cd706238e23f0ae2026ce3de89a92dd5ee62d24bd4","observation_id":"4f16a5e4-c4a5-408d-bedc-c37d559d68d1","resolution":{"observed_at":"2026-08-10T23:43:35.642183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.05290","snapshot_observed_at":"2026-08-09T05:10:54.544227Z","title":"S., van Gorp, H., Meral, F","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03332","last_updated":"2025-02-05T16:26:06Z","snapshot_observed_at":"2026-08-13T09:34:31.115229Z","submitted_at":"2025-02-05T16:26:06Z","title":"A Mixture-Based Framework for Guiding Diffusion Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-09T05:10:54.544227Z"},"links":{"cited_paper":"/paper/2302.05290","citing_paper":"/paper/2502.03332"},"observation_digest":"sha256:9d18c019a7f23a0d20ec010d54021c8ef2df6b6a86db0b654cf9d35fd14c7f81","observation_id":"b4cd190d-e615-47cc-98ac-eab3a0a20716","resolution":{"observed_at":"2026-08-09T05:10:54.544227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.05290","snapshot_observed_at":"2026-08-06T16:50:26.210054Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13400","last_updated":"2025-07-16T19:31:22Z","snapshot_observed_at":"2026-08-18T22:00:51.486047Z","submitted_at":"2025-07-16T19:31:22Z","title":"Supervised Extraction of the Thermal Sunyaev$-$Zel'dovich Effect with a Three-Dimensional Convolutional Neural Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:50:26.210054Z"},"links":{"cited_paper":"/paper/2302.05290","citing_paper":"/paper/2507.13400"},"observation_digest":"sha256:1355a0324ea61a6713ccdbda13c75df104ea7bd939262ee00118c67aad4f4a4d","observation_id":"281c2978-4077-4d9b-8abf-8519c5b800e0","resolution":{"observed_at":"2026-08-06T16:50:26.210054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion Models","version":4},"cited_work":{"arxiv_id":"2302.05290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.05290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Removing structured noise with diffusion models","venue":null,"work_id":"2116af23-e55e-4d41-b5ce-c6eb032f4322","year":null},"citing_paper":{"arxiv_id":"2512.18365","last_updated":"2026-04-29T15:41:32Z","snapshot_observed_at":"2026-08-14T06:16:51.727943Z","submitted_at":"2025-12-20T13:32:06Z","title":"Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T20:19:38.215068Z"},"links":{"cited_paper":"/paper/2302.05290","citing_paper":"/paper/2512.18365"},"observation_digest":"sha256:83e0b563f3323976ab2e9de2fbe237f6c2779e6aec46176de84277b848967d33","observation_id":"0a80cacf-d171-4b54-92d4-a554650aabe0","resolution":{"observed_at":"2026-05-16T20:21:13.516076Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2302.05290/citation-record","integrity":"/paper/2302.05290/integrity","json":"/paper/2302.05290/citation-record.json","paper":"/paper/2302.05290"},"outbound":[],"paper":{"arxiv_id":"2302.05290","last_updated":"2025-03-22T21:39:08Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T13:51:32.905900Z","submitted_at":"2023-01-20T23:42:25Z","title":"Removing Structured Noise with Diffusion 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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.05290."}