{"as_of":"2026-08-10T13:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17d53ded5facca5b74b31487d4d11e4e4ad446cd488bbe629dfa714582abda5e","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T17:36:27.713760Z","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":"2026-08-09T11:34:10.281692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.07282","last_updated":"2023-10-12T07:53:53Z","snapshot_observed_at":"2026-07-06T16:31:03.559653Z","submitted_at":"2023-10-11T08:16:35Z","title":"An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07282","snapshot_observed_at":"2026-08-09T17:36:27.713760Z","title":"CoRR abs/2310.07282 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00832","last_updated":"2025-02-02T16:05:23Z","snapshot_observed_at":"2026-08-10T08:18:24.087989Z","submitted_at":"2025-02-02T16:05:23Z","title":"Generalization of Medical Large Language Models through Cross-Domain Weak Supervision","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T17:36:27.713760Z"},"links":{"cited_paper":"/paper/2310.07282","citing_paper":"/paper/2502.00832"},"observation_digest":"sha256:367a86f6ffbdc1c63a6fcc36e25e2be61658455dd076fba2b164166edb31949d","observation_id":"6ae9ac28-5f51-427a-a48a-71215a213547","resolution":{"observed_at":"2026-08-09T17:36:27.713760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07282","last_updated":"2023-10-12T07:53:53Z","snapshot_observed_at":"2026-07-06T16:31:03.559653Z","submitted_at":"2023-10-11T08:16:35Z","title":"An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT","version":2},"cited_work":{"arxiv_id":"2310.07282","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.07282","snapshot_observed_at":"2026-08-09T11:34:10.281692Z","title":"An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT","venue":"cs.AI","work_id":"2d6f326e-f745-4895-8afd-3543fd5baccd","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.738889Z"},"links":{"cited_paper":"/paper/2310.07282","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:a69130273ac5a2f3e5863fe5d876f99b51425f87dd923abd6cde001769de26d2","observation_id":"db18dd2e-22fc-43ba-921e-fd96c6a4c6d7","resolution":{"observed_at":"2026-08-09T11:34:10.286804Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.07282/citation-record","integrity":"/paper/2310.07282/integrity","json":"/paper/2310.07282/citation-record.json","paper":"/paper/2310.07282"},"outbound":[],"paper":{"arxiv_id":"2310.07282","last_updated":"2023-10-12T07:53:53Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T16:31:03.559653Z","submitted_at":"2023-10-11T08:16:35Z","title":"An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.07282."}