{"as_of":"2026-07-14T04:36:00Z","canonical_paper_id":"PAM6WTIL","canonical_url":"https://pith.science/paper/PAM6WTIL/integrity","context_digest":"sha256:9f746850ca51cc542c0b064a52bbb654b3471b071daaa2022ce15003d3a1ae2e","coverage_summary":[],"findings":[],"findings_empty_copy":"No checks are listed for this paper yet.","findings_observation_state":"no_listed_checks","links":{"arxiv":"https://arxiv.org/abs/1803.04837","bundle_json":"/pith/PAM6WTILBNZ2PNMZGJLHIIEAUS/bundle.json","citation_record":"/paper/PAM6WTIL/citation-record","evidence":"/evidence","html":"/paper/PAM6WTIL/integrity","integrity_json":"/paper/PAM6WTIL/integrity.json","json":"/paper/PAM6WTIL/integrity.json","legacy_integrity_json":"/pith/PAM6WTIL/integrity.json","paper":"/paper/PAM6WTIL","reference_changes":"/flags?citing=PAM6WTIL"},"paper":{"arxiv_id":"1803.04837","latest_version":4,"primary_cat":"cs.AI","title":"Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction"},"pith_number":"pith:2018:PAM6WTILBNZ2PNMZGJLHIIEAUS","pith_short":"PAM6WTILBNZ2PNMZGJLHIIEAUS","record":{"arxiv_id":"1803.04837","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:1803.04837. No listed check completed, so this record makes no findings claim.","counts":{"completed":0,"failed":0,"listed":0,"not_collected":0,"not_requested":0,"partial":0,"public_findings_from_completed":0,"skipped":0,"unavailable":0,"withheld":0},"coverage":[],"observed_at":null,"refusal":"This is a record of named checks, not a clean-status claim or a paper verdict.","schema":"pith.integrity.v1"},"schema":"pith.paper-integrity-record.v1","species":"LEDGER"}