{"as_of":"2026-08-23T15:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5718669384a27122bf03d3a43702bea6b99cf5eccd1994538235d4d70452eec5","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:33:20.128869Z","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":"2026-08-16T04:33:21.227368Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.04926","last_updated":"2023-06-08T04:08:32Z","snapshot_observed_at":"2026-08-21T08:38:17.293670Z","submitted_at":"2023-06-08T04:08:32Z","title":"covLLM: Large Language Models for COVID-19 Biomedical Literature","version":1},"cited_work":{"arxiv_id":"2306.04926","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.04926","snapshot_observed_at":"2026-08-16T04:33:21.227368Z","title":"covLLM: Large Language Models for COVID-19 Biomedical Literature","venue":"cs.CL","work_id":"dcf20e3c-2f2f-42df-925b-0b61d3a5b9bf","year":2023},"citing_paper":{"arxiv_id":"2505.02848","last_updated":"2025-05-02T00:59:49Z","snapshot_observed_at":"2026-08-18T23:51:57.454828Z","submitted_at":"2025-05-02T00:59:49Z","title":"Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-16T04:33:20.128869Z"},"links":{"cited_paper":"/paper/2306.04926","citing_paper":"/paper/2505.02848"},"observation_digest":"sha256:81a7d9df1138295a0baab9fb27be3692f7191ff9841f406f7123028c08426008","observation_id":"7edd3af9-25df-4e36-86ee-0f479af3f798","resolution":{"observed_at":"2026-08-16T04:33:21.232387Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.04926/citation-record","integrity":"/paper/2306.04926/integrity","json":"/paper/2306.04926/citation-record.json","paper":"/paper/2306.04926"},"outbound":[],"paper":{"arxiv_id":"2306.04926","last_updated":"2023-06-08T04:08:32Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-21T08:38:17.293670Z","submitted_at":"2023-06-08T04:08:32Z","title":"covLLM: Large Language Models for COVID-19 Biomedical Literature"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2306.04926."}