{"as_of":"2026-08-09T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a03e52b5254b99024df4bf77d1a62082286364433cd66ee8888b66483d857a2c","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T19:28:55.838479Z","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":"2026-08-05T19:29:02.023847Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.10279","last_updated":"2018-02-28T06:27:37Z","snapshot_observed_at":"2026-07-06T06:25:47.627302Z","submitted_at":"2018-02-28T06:27:37Z","title":"Medical Exam Question Answering with Large-scale Reading Comprehension","version":1},"cited_work":{"arxiv_id":"1802.10279","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.10279","snapshot_observed_at":"2026-08-05T19:29:02.023847Z","title":"Medical Exam Question Answering with Large-scale Reading Comprehension","venue":"cs.CL","work_id":"dfb11a24-39d0-4e04-affc-28e73f040cf8","year":2018},"citing_paper":{"arxiv_id":"2508.12464","last_updated":"2025-08-17T18:27:54Z","snapshot_observed_at":"2026-08-06T19:31:58.152011Z","submitted_at":"2025-08-17T18:27:54Z","title":"On the Fitness Landscape in the $NK$ Model","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T19:28:55.838479Z"},"links":{"cited_paper":"/paper/1802.10279","citing_paper":"/paper/2508.12464"},"observation_digest":"sha256:779f3c1ef12c9370c8c6c2ecda19c4af17bfb8d3184976c81cca1070edaf804b","observation_id":"5351e94d-c534-4f21-8f9c-99225dbe4602","resolution":{"observed_at":"2026-08-05T19:29:02.140061Z","resolver_source":"local_arxiv","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/1802.10279/citation-record","integrity":"/paper/1802.10279/integrity","json":"/paper/1802.10279/citation-record.json","paper":"/paper/1802.10279"},"outbound":[],"paper":{"arxiv_id":"1802.10279","last_updated":"2018-02-28T06:27:37Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T06:25:47.627302Z","submitted_at":"2018-02-28T06:27:37Z","title":"Medical Exam Question Answering with Large-scale Reading Comprehension"},"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 1 inbound Pith citation observation for arXiv:1802.10279."}