{"as_of":"2026-08-13T17:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9fc4bb6108607e27a761b940a5a34feb36aef82ee090dc306a77b3ce594d877a","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":"2026-08-13T06:32:02.005865+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":"2026-08-12T16:30:25.685554Z","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":"2026-08-12T18:16:22.223912Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.01761","last_updated":"2022-10-11T14:48:15Z","snapshot_observed_at":"2026-08-13T14:08:16.805206Z","submitted_at":"2022-10-11T14:48:15Z","title":"PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning","version":1},"cited_work":{"arxiv_id":"2211.01761","doi":"10.48550/arxiv.2211.01761","metadata_source":"pith","pith_arxiv_id":"2211.01761","snapshot_observed_at":"2026-08-12T18:16:22.223912Z","title":"PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning","venue":"cs.CL","work_id":"3090a6a3-e285-4c61-a86d-279eb0f8ae0c","year":2022},"citing_paper":{"arxiv_id":"2411.13428","last_updated":"2024-11-20T16:11:20Z","snapshot_observed_at":"2026-08-12T22:35:00.980822Z","submitted_at":"2024-11-20T16:11:20Z","title":"SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T16:30:25.685554Z"},"links":{"cited_paper":"/paper/2211.01761","citing_paper":"/paper/2411.13428"},"observation_digest":"sha256:23fdfbbbb842fd7761d98731d335c4689eeaf52a7ec3cbd1fc205bccd06a3efa","observation_id":"97434daf-f493-45d5-b664-4ee1639a447d","resolution":{"observed_at":"2026-08-12T16:30:26.047951Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.01761/citation-record","integrity":"/paper/2211.01761/integrity","json":"/paper/2211.01761/citation-record.json","paper":"/paper/2211.01761"},"outbound":[],"paper":{"arxiv_id":"2211.01761","last_updated":"2022-10-11T14:48:15Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T14:08:16.805206Z","submitted_at":"2022-10-11T14:48:15Z","title":"PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.01761."}