{"as_of":"2026-08-08T06:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3676ac5ff0be334a3b5b9d6e58917fead717b2f15ed936b2bfab3c57783880a2","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:40:08.444451Z","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":"2026-08-07T12:40:16.696367Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.02722","last_updated":"2026-07-20T05:28:15Z","snapshot_observed_at":"2026-08-07T15:56:20.183169Z","submitted_at":"2025-05-05T15:23:47Z","title":"Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry","version":2},"cited_work":{"arxiv_id":"2505.02722","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02722","snapshot_observed_at":"2026-08-07T12:40:16.696367Z","title":"Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry","venue":"cs.AI","work_id":"9cb1ae78-e027-4186-a3e3-e533daa06849","year":2025},"citing_paper":{"arxiv_id":"2505.24105","last_updated":"2025-05-30T01:13:22Z","snapshot_observed_at":"2026-08-07T20:32:59.705021Z","submitted_at":"2025-05-30T01:13:22Z","title":"Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:40:08.444451Z"},"links":{"cited_paper":"/paper/2505.02722","citing_paper":"/paper/2505.24105"},"observation_digest":"sha256:ee9eaf14250aade920c6e1b9f2de70ea06f32093773ae935b78c441f8d63606c","observation_id":"601f646c-4f78-4781-8a0d-ba13c52e6856","resolution":{"observed_at":"2026-08-07T12:40:16.829938Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.02722/citation-record","integrity":"/paper/2505.02722/integrity","json":"/paper/2505.02722/citation-record.json","paper":"/paper/2505.02722"},"outbound":[],"paper":{"arxiv_id":"2505.02722","last_updated":"2026-07-20T05:28:15Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T15:56:20.183169Z","submitted_at":"2025-05-05T15:23:47Z","title":"Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2505.02722."}