{"as_of":"2026-07-14T14:36:00Z","canonical_paper_id":"1801.09271","canonical_url":"https://pith.science/paper/1801.09271/integrity","context_digest":"sha256:f7fec59b0b9bb207303b7405b9dcee8f462dd280439c5bdde1e69759e89c09b9","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/1801.09271","bundle_json":"/pith/KRGA2HVNLI4R34SAHB4MOJA6MN/bundle.json","citation_record":"/paper/1801.09271/citation-record","evidence":"/evidence","html":"/paper/1801.09271/integrity","integrity_json":"/paper/1801.09271/integrity.json","json":"/paper/1801.09271/integrity.json","legacy_integrity_json":"/pith/1801.09271/integrity.json","paper":"/paper/1801.09271","reference_changes":"/flags?citing=1801.09271"},"paper":{"arxiv_id":"1801.09271","latest_version":1,"primary_cat":"cs.AI","title":"Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data"},"pith_number":"pith:2018:KRGA2HVNLI4R34SAHB4MOJA6MN","pith_short":"KRGA2HVNLI4R34SAHB4MOJA6MN","record":{"arxiv_id":"1801.09271","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:1801.09271. 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"}