{"as_of":"2026-08-09T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22c99c3041d0ef225620b88de1b8dc51a7faa55b2c615a0574112671349e6005","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:09:17.007509Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T12:09:57.634808Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.06580","last_updated":"2023-03-12T05:27:22Z","snapshot_observed_at":"2026-07-06T15:01:49.803305Z","submitted_at":"2023-03-12T05:27:22Z","title":"Towards General Purpose Medical AI: Continual Learning Medical Foundation Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.06580","snapshot_observed_at":"2026-08-07T14:09:17.007509Z","title":"Towards general purpose medical ai: Con- tinual learning medical foundation model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.19779","last_updated":"2025-05-26T10:04:40Z","snapshot_observed_at":"2026-08-07T22:38:57.754485Z","submitted_at":"2025-05-26T10:04:40Z","title":"Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:09:17.007509Z"},"links":{"cited_paper":"/paper/2303.06580","citing_paper":"/paper/2505.19779"},"observation_digest":"sha256:d95cfe9c83aa84ba4e9ffa34714556b22155ce56927a8bcf0deb78803fd7029d","observation_id":"6871dd89-d511-4afa-9ee9-09b60ac0f510","resolution":{"observed_at":"2026-08-07T14:09:17.007509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.06580","last_updated":"2023-03-12T05:27:22Z","snapshot_observed_at":"2026-07-06T15:01:49.803305Z","submitted_at":"2023-03-12T05:27:22Z","title":"Towards General Purpose Medical AI: Continual Learning Medical Foundation Model","version":1},"cited_work":{"arxiv_id":"2303.06580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.06580","snapshot_observed_at":"2026-08-07T12:09:57.634808Z","title":"Towards General Purpose Medical AI: Continual Learning Medical Foundation Model","venue":"cs.CV","work_id":"6fa63f6f-e371-47d3-8e79-fea0ff88e48f","year":2023},"citing_paper":{"arxiv_id":"2506.00406","last_updated":"2025-05-31T05:53:13Z","snapshot_observed_at":"2026-08-07T12:03:49.148481Z","submitted_at":"2025-05-31T05:53:13Z","title":"iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T12:09:57.354643Z"},"links":{"cited_paper":"/paper/2303.06580","citing_paper":"/paper/2506.00406"},"observation_digest":"sha256:bbbe23f60c16abe35456f33ec83e9f35c29545b8187cedd472b10f70aee7fc2a","observation_id":"c805b899-ce14-42d5-97f5-9194ffe5b821","resolution":{"observed_at":"2026-08-07T12:09:57.676160Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.06580/citation-record","integrity":"/paper/2303.06580/integrity","json":"/paper/2303.06580/citation-record.json","paper":"/paper/2303.06580"},"outbound":[],"paper":{"arxiv_id":"2303.06580","last_updated":"2023-03-12T05:27:22Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T15:01:49.803305Z","submitted_at":"2023-03-12T05:27:22Z","title":"Towards General Purpose Medical AI: Continual Learning Medical Foundation Model"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.06580."}