{"as_of":"2026-08-10T05:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65badded7461190f5311065f72e2b8cf36b94fbe9049e23b4918f190be604706","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T10:26:09.625956Z","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":"2026-05-24T14:24:34.569640Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":"2003.11597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covid-19 image data collection","venue":null,"work_id":"19890d50-adb4-4d7a-9fa1-4db863ca196e","year":2003},"citing_paper":{"arxiv_id":"2005.04014","last_updated":"2020-05-08T13:11:40Z","snapshot_observed_at":"2026-08-06T16:15:50.716366Z","submitted_at":"2020-05-08T13:11:40Z","title":"Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T14:22:31.140922Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2005.04014"},"observation_digest":"sha256:4680b08e34be809ca1e30b6a9cd04bd2ef84c9d5d5aadbbeb5b0aadaef57f10e","observation_id":"a69740c7-6573-4875-9d96-bb6f1cc2ff32","resolution":{"observed_at":"2026-05-24T14:24:34.572708Z","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":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":"2003.11597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covid-19 image data collection","venue":null,"work_id":"19890d50-adb4-4d7a-9fa1-4db863ca196e","year":2003},"citing_paper":{"arxiv_id":"2603.29167","last_updated":"2026-05-16T23:21:09Z","snapshot_observed_at":"2026-07-31T13:02:19.893050Z","submitted_at":"2026-03-31T02:25:33Z","title":"JDCNet: Confidence-Gated Privileged-Modality Distillation for Cost-Preserving X-ray Inference","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T10:59:16.062948Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2603.29167"},"observation_digest":"sha256:4fda8fd87799347a04969b7655a098f3bf9039a41f37f8379137aa654a2b52c1","observation_id":"3fea185e-705f-4ff3-b543-accaea87b9dd","resolution":{"observed_at":"2026-05-21T11:00:01.633484Z","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":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":"2003.11597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covid-19 image data collection","venue":null,"work_id":"19890d50-adb4-4d7a-9fa1-4db863ca196e","year":2003},"citing_paper":{"arxiv_id":"2604.13756","last_updated":"2026-04-15T11:41:20Z","snapshot_observed_at":"2026-08-03T00:00:46.791702Z","submitted_at":"2026-04-15T11:41:20Z","title":"MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-10T12:47:27.551670Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2604.13756"},"observation_digest":"sha256:4ea03062eb6193b3caf74da5ee1335454ae58904e452cb2cc19c903ccc909006","observation_id":"afbfcf5e-de6a-4f8f-89ce-bb5fb6e7012b","resolution":{"observed_at":"2026-05-10T12:50:25.181910Z","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":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":"2003.11597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covid-19 image data collection","venue":null,"work_id":"19890d50-adb4-4d7a-9fa1-4db863ca196e","year":2003},"citing_paper":{"arxiv_id":"2605.01563","last_updated":"2026-05-02T18:23:27Z","snapshot_observed_at":"2026-07-06T23:14:47.444386Z","submitted_at":"2026-05-02T18:23:27Z","title":"Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-09T14:13:56.762945Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2605.01563"},"observation_digest":"sha256:1a9b1fcfa095f970096ef309dcbbd143dad125a4591a7b9d0516f9549547c29b","observation_id":"d65cb832-0bd8-4494-8e1e-d7fcf141e871","resolution":{"observed_at":"2026-05-11T17:01:09.178303Z","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":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":"2003.11597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covid-19 image data collection","venue":null,"work_id":"19890d50-adb4-4d7a-9fa1-4db863ca196e","year":2003},"citing_paper":{"arxiv_id":"2605.04447","last_updated":"2026-05-06T03:22:39Z","snapshot_observed_at":"2026-07-06T23:17:13.770090Z","submitted_at":"2026-05-06T03:22:39Z","title":"Deep Reprogramming Distillation for Medical Foundation Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-08T18:30:36.882621Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2605.04447"},"observation_digest":"sha256:1fe126c787680a60165cf25821b1c8a433afc91fc737673524901491d361f2c8","observation_id":"1bb65e96-26cf-44e6-b73b-a8d6d6ac29ce","resolution":{"observed_at":"2026-05-09T06:25:37.761333Z","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":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":"2003.11597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covid-19 image data collection","venue":null,"work_id":"19890d50-adb4-4d7a-9fa1-4db863ca196e","year":2003},"citing_paper":{"arxiv_id":"2605.04569","last_updated":"2026-05-28T14:50:27Z","snapshot_observed_at":"2026-07-06T23:17:18.486586Z","submitted_at":"2026-05-06T07:15:29Z","title":"LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention","version":1},"reference_index":207,"source":"arxiv_source","source_observed_at":"2026-05-08T16:38:20.057250Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2605.04569"},"observation_digest":"sha256:473f6efd32eecb0d03ee720b91e228cd9ac7e91f84b846175c6969b1d60fb435","observation_id":"76bc1eb1-cbf5-4246-9e00-d737da7d10c3","resolution":{"observed_at":"2026-05-11T18:06:07.215919Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2003.11597","last_updated":"2020-03-25T19:37:25Z","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.11597","snapshot_observed_at":"2026-08-01T10:26:09.625956Z","title":"COVID-19 image data collection,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.27286","last_updated":"2026-07-29T14:27:26Z","snapshot_observed_at":"2026-08-09T04:26:55.723016Z","submitted_at":"2026-07-29T14:27:26Z","title":"Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T10:26:09.625956Z"},"links":{"cited_paper":"/paper/2003.11597","citing_paper":"/paper/2607.27286"},"observation_digest":"sha256:8905cfcc28102d016fddd23e764f740a735225c8ee5c3a847b7439ebfff69439","observation_id":"fb11d780-c5ec-4544-9216-949c4d3fee8a","resolution":{"observed_at":"2026-08-01T10:26:09.625956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2003.11597/citation-record","integrity":"/paper/2003.11597/integrity","json":"/paper/2003.11597/citation-record.json","paper":"/paper/2003.11597"},"outbound":[],"paper":{"arxiv_id":"2003.11597","last_updated":"2020-03-25T19:37:25Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-09T18:50:01.129871Z","submitted_at":"2020-03-25T19:37:25Z","title":"COVID-19 Image Data Collection"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2003.11597."}