{"as_of":"2026-08-22T22:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69da526e04479d6428b3a2172fa6fb433a66353c30dfdc9877c347cd79559025","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":"2026-08-22T06:32:14.747728+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":"2026-08-15T15:57:11.849680Z","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":"2026-08-15T15:57:12.032140Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.05845","last_updated":"2024-06-09T16:33:28Z","snapshot_observed_at":"2026-08-20T05:54:50.921042Z","submitted_at":"2024-06-09T16:33:28Z","title":"MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering","version":1},"cited_work":{"arxiv_id":"2406.05845","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.05845","snapshot_observed_at":"2026-08-15T15:57:12.032140Z","title":"MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering","venue":"cs.CL","work_id":"9b86185e-c4fa-45d6-9c2b-61d5cf65ea87","year":2024},"citing_paper":{"arxiv_id":"2509.10843","last_updated":"2025-09-13T15:03:34Z","snapshot_observed_at":"2026-08-19T08:44:22.829386Z","submitted_at":"2025-09-13T15:03:34Z","title":"Evaluating Large Language Models for Evidence-Based Clinical Question Answering","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T15:57:11.849680Z"},"links":{"cited_paper":"/paper/2406.05845","citing_paper":"/paper/2509.10843"},"observation_digest":"sha256:3bb4715a4b84d8ea516cfdff9d1f096b1d5a48a95ec35ffeb5c5b3e859cc9530","observation_id":"042b0fa7-1595-4ce4-a6d6-74ee3cc69bd5","resolution":{"observed_at":"2026-08-15T15:57:12.039092Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.05845/citation-record","integrity":"/paper/2406.05845/integrity","json":"/paper/2406.05845/citation-record.json","paper":"/paper/2406.05845"},"outbound":[],"paper":{"arxiv_id":"2406.05845","last_updated":"2024-06-09T16:33:28Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T05:54:50.921042Z","submitted_at":"2024-06-09T16:33:28Z","title":"MedREQAL: Examining Medical Knowledge Recall of Large Language Models via 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.05845."}