{"as_of":"2026-08-20T23:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:643b108d5290fef5448bd127324060094a9e19fd81ef82c5c18673c8716d003b","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:30:03.814678Z","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":"2026-06-29T22:44:01.646729Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-08-10T23:40:45.293229Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20070","last_updated":"2025-05-31T11:45:12Z","snapshot_observed_at":"2026-08-14T20:00:58.787081Z","submitted_at":"2024-12-28T07:50:00Z","title":"Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging","version":2},"reference_index":125,"source":"arxiv_source","source_observed_at":"2026-08-10T23:40:45.293229Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2412.20070"},"observation_digest":"sha256:f4993e1c662137dad5d2cf20b9ab0a4bc115c4aa81d879fc23e9821775553a09","observation_id":"b9435ee3-7fab-4b71-b2ee-657b7da96043","resolution":{"observed_at":"2026-08-10T23:40:45.293229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-08-15T23:30:03.814678Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.04720","last_updated":"2025-08-06T16:57:18Z","snapshot_observed_at":"2026-08-16T15:25:22.059618Z","submitted_at":"2025-05-07T18:15:33Z","title":"False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:30:03.814678Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2505.04720"},"observation_digest":"sha256:56f6bc3ecf34d8157060d9e3a77029b0b8ca23cb746550d5be91625899498cb2","observation_id":"c99ee5cb-6a03-4249-9de3-b982283454d3","resolution":{"observed_at":"2026-08-15T23:30:03.814678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-08-07T10:29:44.537379Z","title":"arXiv preprint arXiv:2003.13865 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.05286","last_updated":"2025-06-05T17:43:27Z","snapshot_observed_at":"2026-08-14T16:48:40.846336Z","submitted_at":"2025-06-05T17:43:27Z","title":"Stable Vision Concept Transformers for Medical Diagnosis","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:44.537379Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2506.05286"},"observation_digest":"sha256:94cff95d4b156277bd5d174509dd9ffb989eba24d8dcb293860434b89b6535fa","observation_id":"a46e585f-8a03-412b-b71f-cc613c9e5741","resolution":{"observed_at":"2026-08-07T10:29:44.537379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-08-06T18:44:10.237166Z","title":"COVID19-CT-dataset: a CT scan dataset about COVID-19","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.08050","last_updated":"2025-07-10T07:47:58Z","snapshot_observed_at":"2026-08-15T18:18:10.543126Z","submitted_at":"2025-07-10T07:47:58Z","title":"An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:10.237166Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2507.08050"},"observation_digest":"sha256:fefb310609b87ee9efa0bd464439086c0e21d346ab040e6165809702ea39149b","observation_id":"a84332c3-90d6-44e2-b05a-ff39a96a15c5","resolution":{"observed_at":"2026-08-06T18:44:10.237166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-08-06T16:13:17.512947Z","title":"Covid-ct-dataset: a ct scan dataset about covid-19","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.14102","last_updated":"2025-07-18T17:30:56Z","snapshot_observed_at":"2026-08-19T20:45:48.413813Z","submitted_at":"2025-07-18T17:30:56Z","title":"UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T16:13:17.512947Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2507.14102"},"observation_digest":"sha256:4d9452e2f4d7033f639300ce4565bded2881dc6337ac67f0c4dc92898afaee87","observation_id":"894fbf28-74a4-4226-ad70-a0b0485f9728","resolution":{"observed_at":"2026-08-06T16:13:17.512947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-08-05T21:26:14.438990Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.08892","last_updated":"2025-08-12T12:29:12Z","snapshot_observed_at":"2026-08-17T03:01:07.608895Z","submitted_at":"2025-08-12T12:29:12Z","title":"Sound Signal Synthesis with Auxiliary Classifier GAN, COVID-19 cough as an example","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T21:26:14.438990Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2508.08892"},"observation_digest":"sha256:cba0af9a2a59958746f7f2924bb7c6ea33b19e629a8e09254e6d153d03a01dbe","observation_id":"7fd848a3-b45e-4c14-bad5-b36877a5ac30","resolution":{"observed_at":"2026-08-05T21:26:14.438990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":"2003.13865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-06-29T22:44:01.646729Z","title":"Covid-ct-dataset: a ct image dataset about covid-19","venue":null,"work_id":"23177fa5-2aba-483f-b1f7-9d7b63b0a6be","year":2020},"citing_paper":{"arxiv_id":"2604.08333","last_updated":"2026-04-09T15:07:26Z","snapshot_observed_at":"2026-08-11T13:11:38.292964Z","submitted_at":"2026-04-09T15:07:26Z","title":"Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T18:11:13.523021Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2604.08333"},"observation_digest":"sha256:3a540ad19520dc8c9bbcf6b855d1fc7b081953a208dae4760b79cf032ce0cbf4","observation_id":"89ea57b6-d19d-4b0c-a184-d188fa7fb768","resolution":{"observed_at":"2026-05-11T05:21:00.795943Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":"2003.13865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-06-29T22:44:01.646729Z","title":"Covid-ct-dataset: a ct image dataset about covid-19","venue":null,"work_id":"23177fa5-2aba-483f-b1f7-9d7b63b0a6be","year":2020},"citing_paper":{"arxiv_id":"2604.13756","last_updated":"2026-04-15T11:41:20Z","snapshot_observed_at":"2026-08-15T21:44:56.517909Z","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":80,"source":"arxiv_source","source_observed_at":"2026-05-10T12:47:27.551670Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2604.13756"},"observation_digest":"sha256:f9476cc9faf056a84897087c1982f58d10f4973c8acad1db66c435f64fefe45a","observation_id":"8fa1ce39-6a7c-4939-83d3-4ee3415d8c25","resolution":{"observed_at":"2026-05-10T12:50:25.248990Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":"2003.13865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-06-29T22:44:01.646729Z","title":"Covid-ct-dataset: a ct image dataset about covid-19","venue":null,"work_id":"23177fa5-2aba-483f-b1f7-9d7b63b0a6be","year":2020},"citing_paper":{"arxiv_id":"2605.04447","last_updated":"2026-05-06T03:22:39Z","snapshot_observed_at":"2026-08-10T22:02:18.040858Z","submitted_at":"2026-05-06T03:22:39Z","title":"Deep Reprogramming Distillation for Medical Foundation Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-08T18:30:36.882621Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2605.04447"},"observation_digest":"sha256:47ee160141e79da06afa76ee43cae86c5dae6e6b986e5bb341093b7095edee52","observation_id":"ded49984-0c26-4e37-afe0-7ed593fcfdce","resolution":{"observed_at":"2026-05-09T06:25:38.818329Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19","version":3},"cited_work":{"arxiv_id":"2003.13865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2003.13865","snapshot_observed_at":"2026-06-29T22:44:01.646729Z","title":"Covid-ct-dataset: a ct image dataset about covid-19","venue":null,"work_id":"23177fa5-2aba-483f-b1f7-9d7b63b0a6be","year":2020},"citing_paper":{"arxiv_id":"2605.26287","last_updated":"2026-05-25T19:20:31Z","snapshot_observed_at":"2026-07-06T23:36:11.031436Z","submitted_at":"2026-05-25T19:20:31Z","title":"A multifractal-based masked auto-encoder: an application to medical images","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T22:37:10.959985Z"},"links":{"cited_paper":"/paper/2003.13865","citing_paper":"/paper/2605.26287"},"observation_digest":"sha256:8432df02c8554c8410d0878aefc9ef1412edc69860d468b92fd1dc2a76c6aca0","observation_id":"1ae6740d-f5ef-4be4-bfba-d2adb5d78bbc","resolution":{"observed_at":"2026-06-29T22:44:01.648305Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2003.13865/citation-record","integrity":"/paper/2003.13865/integrity","json":"/paper/2003.13865/citation-record.json","paper":"/paper/2003.13865"},"outbound":[],"paper":{"arxiv_id":"2003.13865","last_updated":"2020-06-17T20:14:22Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T09:08:34.336279Z","submitted_at":"2020-03-30T23:27:24Z","title":"COVID-CT-Dataset: A CT Scan Dataset about COVID-19"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2003.13865."}