{"as_of":"2026-08-09T18:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:675748e32208aa0bb06bd3f8848d3710d34096c10a49e68b7f2afa915c286be2","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T15:09:48.921511Z","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":"2026-07-03T09:37:49.464605Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.04138","last_updated":"2024-08-08T00:35:39Z","snapshot_observed_at":"2026-08-06T08:16:38.928964Z","submitted_at":"2024-08-08T00:35:39Z","title":"Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04138","snapshot_observed_at":"2026-08-05T15:09:48.921511Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20416","last_updated":"2025-08-28T04:35:51Z","snapshot_observed_at":"2026-08-09T01:50:48.882495Z","submitted_at":"2025-08-28T04:35:51Z","title":"DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T15:09:48.921511Z"},"links":{"cited_paper":"/paper/2408.04138","citing_paper":"/paper/2508.20416"},"observation_digest":"sha256:b63872002907f4784220c4e8052ca84b9368a893ae1d986f85def9f37425a307","observation_id":"d17ac313-7eb4-42e8-bc4b-d88028c98d7a","resolution":{"observed_at":"2026-08-05T15:09:48.921511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04138","last_updated":"2024-08-08T00:35:39Z","snapshot_observed_at":"2026-08-06T08:16:38.928964Z","submitted_at":"2024-08-08T00:35:39Z","title":"Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering","version":1},"cited_work":{"arxiv_id":"2408.04138","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.04138","snapshot_observed_at":"2026-07-03T09:37:49.464605Z","title":"arXiv preprint arXiv:2408.04138 , year=","venue":null,"work_id":"893b31bc-b82e-4ed8-b3ed-14ce1644259f","year":null},"citing_paper":{"arxiv_id":"2606.11740","last_updated":"2026-06-10T07:16:27Z","snapshot_observed_at":"2026-08-02T02:17:16.809620Z","submitted_at":"2026-06-10T07:16:27Z","title":"UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA","version":1},"reference_index":181,"source":"arxiv_source","source_observed_at":"2026-06-27T10:21:12.782864Z"},"links":{"cited_paper":"/paper/2408.04138","citing_paper":"/paper/2606.11740"},"observation_digest":"sha256:4a67a476322ea8940df95b652ab9a20f1dbaf126a572a6526cbdb8770ee8e38d","observation_id":"c24cb153-b670-44d2-967d-10eb45b5a00c","resolution":{"observed_at":"2026-07-03T09:37:49.466196Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2408.04138/citation-record","integrity":"/paper/2408.04138/integrity","json":"/paper/2408.04138/citation-record.json","paper":"/paper/2408.04138"},"outbound":[],"paper":{"arxiv_id":"2408.04138","last_updated":"2024-08-08T00:35:39Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T08:16:38.928964Z","submitted_at":"2024-08-08T00:35:39Z","title":"Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.04138."}