{"as_of":"2026-08-08T13:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:270fef0193acad461165d6cdba07c84f48c2a081b813c0012e8028c3717bb6ca","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:13:31.243514Z","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":"2026-08-06T18:06:30.278505Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.13173","last_updated":"2024-07-16T05:56:05Z","snapshot_observed_at":"2026-08-07T10:42:50.913308Z","submitted_at":"2024-06-19T03:07:33Z","title":"Biomedical Visual Instruction Tuning with Clinician Preference Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13173","snapshot_observed_at":"2026-08-07T22:13:31.243514Z","title":"arXiv preprint arXiv:2406.13173 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09242","last_updated":"2025-02-13T11:57:51Z","snapshot_observed_at":"2026-08-07T22:53:39.152523Z","submitted_at":"2025-02-13T11:57:51Z","title":"From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine","version":1},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-08-07T22:13:31.243514Z"},"links":{"cited_paper":"/paper/2406.13173","citing_paper":"/paper/2502.09242"},"observation_digest":"sha256:32edd62adcf4494194526dc6552ad61e4761ede453aaf215be637ea4bb09836a","observation_id":"0e308a75-f2d1-4607-aec5-58a70a87e7f7","resolution":{"observed_at":"2026-08-07T22:13:31.243514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13173","last_updated":"2024-07-16T05:56:05Z","snapshot_observed_at":"2026-08-07T10:42:50.913308Z","submitted_at":"2024-06-19T03:07:33Z","title":"Biomedical Visual Instruction Tuning with Clinician Preference Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13173","snapshot_observed_at":"2026-08-07T11:35:43.091029Z","title":"Biomedical visual instruction tuning with clinician preference alignment, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02096","last_updated":"2025-06-02T17:45:16Z","snapshot_observed_at":"2026-08-07T12:51:05.147362Z","submitted_at":"2025-06-02T17:45:16Z","title":"SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:35:43.091029Z"},"links":{"cited_paper":"/paper/2406.13173","citing_paper":"/paper/2506.02096"},"observation_digest":"sha256:8ae0313a0159fdccafe85c0249fc5adb871b67b649253e2247bb44488cfb0559","observation_id":"f831c92e-44e1-4380-a5fa-01ac675de575","resolution":{"observed_at":"2026-08-07T11:35:43.091029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13173","last_updated":"2024-07-16T05:56:05Z","snapshot_observed_at":"2026-08-07T10:42:50.913308Z","submitted_at":"2024-06-19T03:07:33Z","title":"Biomedical Visual Instruction Tuning with Clinician Preference Alignment","version":3},"cited_work":{"arxiv_id":"2406.13173","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.13173","snapshot_observed_at":"2026-08-06T18:06:30.278505Z","title":"Biomedical Visual Instruction Tuning with Clinician Preference Alignment","venue":"cs.CV","work_id":"0e03b558-97da-41ac-b0df-1b3915d0debf","year":2024},"citing_paper":{"arxiv_id":"2507.09209","last_updated":"2025-07-12T09:03:30Z","snapshot_observed_at":"2026-08-08T13:32:42.591602Z","submitted_at":"2025-07-12T09:03:30Z","title":"Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:06:24.063340Z"},"links":{"cited_paper":"/paper/2406.13173","citing_paper":"/paper/2507.09209"},"observation_digest":"sha256:b9fd20c3f20107a363288acff2488675f394badd4267cdc49f631a6cea583e4b","observation_id":"a6c240ef-aa99-4b94-96de-a984d2650a9c","resolution":{"observed_at":"2026-08-06T18:06:30.355406Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13173","last_updated":"2024-07-16T05:56:05Z","snapshot_observed_at":"2026-08-07T10:42:50.913308Z","submitted_at":"2024-06-19T03:07:33Z","title":"Biomedical Visual Instruction Tuning with Clinician Preference Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13173","snapshot_observed_at":"2026-08-04T08:38:29.667730Z","title":"Biomedical visual instruction tuning with clinician preference alignment.arXiv preprint arXiv:2406.13173,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.19893","last_updated":"2026-06-18T00:37:32Z","snapshot_observed_at":"2026-08-07T15:37:12.424364Z","submitted_at":"2025-10-22T17:26:16Z","title":"EQPO: Equitable Group Relative Policy Optimization for Clinical Reasoning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T08:38:29.667730Z"},"links":{"cited_paper":"/paper/2406.13173","citing_paper":"/paper/2510.19893"},"observation_digest":"sha256:5214a4a4a12abad9a6fa9efcd747b0bdaef5f80897b2f24dd3d98cb91a4a5ab1","observation_id":"e6ec0487-6661-4cba-a35c-939d9bebe63e","resolution":{"observed_at":"2026-08-04T08:38:29.667730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.13173/citation-record","integrity":"/paper/2406.13173/integrity","json":"/paper/2406.13173/citation-record.json","paper":"/paper/2406.13173"},"outbound":[],"paper":{"arxiv_id":"2406.13173","last_updated":"2024-07-16T05:56:05Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:42:50.913308Z","submitted_at":"2024-06-19T03:07:33Z","title":"Biomedical Visual Instruction Tuning with Clinician Preference Alignment"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.13173."}