{"as_of":"2026-08-09T06:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee12c6fb116e58a79d813fa61d257031082440be7742683894c3d8acd93db48d","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":"2026-08-06T23:26:50.319840Z","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":"2026-08-06T23:26:55.055486Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1711.04126","last_updated":"2018-05-22T02:41:02Z","snapshot_observed_at":"2026-07-06T06:08:56.778677Z","submitted_at":"2017-11-11T12:32:01Z","title":"Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data","version":4},"cited_work":{"arxiv_id":"1711.04126","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.04126","snapshot_observed_at":"2026-08-06T23:26:55.055486Z","title":"Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data","venue":"cs.LG","work_id":"a4b366f0-dd33-4c2f-9121-80723ea6f248","year":2017},"citing_paper":{"arxiv_id":"2506.18007","last_updated":"2025-06-22T12:09:55Z","snapshot_observed_at":"2026-08-07T04:05:04.207286Z","submitted_at":"2025-06-22T12:09:55Z","title":"Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:50.319840Z"},"links":{"cited_paper":"/paper/1711.04126","citing_paper":"/paper/2506.18007"},"observation_digest":"sha256:9bf6142c3497f4e7f0e914570184a3af914bb3e80a62f1ef2bc22e01470c247f","observation_id":"c539c6a5-0125-46b5-9e70-428f7cb1d8c2","resolution":{"observed_at":"2026-08-06T23:26:55.061278Z","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/1711.04126/citation-record","integrity":"/paper/1711.04126/integrity","json":"/paper/1711.04126/citation-record.json","paper":"/paper/1711.04126"},"outbound":[],"paper":{"arxiv_id":"1711.04126","last_updated":"2018-05-22T02:41:02Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T06:08:56.778677Z","submitted_at":"2017-11-11T12:32:01Z","title":"Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1711.04126."}