{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:I7WANIDEVK65BFDFAOZ3IUMAPR","short_pith_number":"pith:I7WANIDE","schema_version":"1.0","canonical_sha256":"47ec06a064aabdd0946503b3b451807c4f7e2525a48c2462ac96dfbed7ea44ec","source":{"kind":"arxiv","id":"2606.04134","version":1},"attestation_state":"computed","paper":{"title":"Optimal Treatment Policy Estimation for Recurrent Events with a Competing Terminal Event: An Instrumented Difference-in-Differences Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Ashkan Ertefaie, James Flory, Ritoban Kundu, Sean Hennessy","submitted_at":"2026-06-02T18:45:36Z","abstract_excerpt":"Learning reproducible and generalizable optimal treatment policies for chronic diseases requires large, representative populations with long-term follow-up. Administrative health data provide a natural starting point, but their use is often limited by unmeasured confounding. We address this by proposing a novel framework based on Instrumented Difference-in-Differences (iDID) to estimate optimal policies for recurrent event outcomes subject to a terminating event. The iDID design is particularly useful in this setting because it leverages policy-induced treatment variation while allowing for pe"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.04134","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-06-02T18:45:36Z","cross_cats_sorted":[],"title_canon_sha256":"da811d344d293276b0fcd2a6a99543050ab60f216e0180fcdb1e491ce9c41237","abstract_canon_sha256":"456cdb9993ca8f0ad70f1b0ab8f7b2706f0598dc5d69a96faa57fbcad587b149"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T00:06:51.519412Z","signature_b64":"zqE4L2APmBm3F0EG7o5GNz7szIvoEVpjzpJgI1m5yfdWNr2K59HE8rbTf0bPmNsiT27wthFMneWamF09CgE/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47ec06a064aabdd0946503b3b451807c4f7e2525a48c2462ac96dfbed7ea44ec","last_reissued_at":"2026-06-04T00:06:51.518952Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T00:06:51.518952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal Treatment Policy Estimation for Recurrent Events with a Competing Terminal Event: An Instrumented Difference-in-Differences Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Ashkan Ertefaie, James Flory, Ritoban Kundu, Sean Hennessy","submitted_at":"2026-06-02T18:45:36Z","abstract_excerpt":"Learning reproducible and generalizable optimal treatment policies for chronic diseases requires large, representative populations with long-term follow-up. Administrative health data provide a natural starting point, but their use is often limited by unmeasured confounding. We address this by proposing a novel framework based on Instrumented Difference-in-Differences (iDID) to estimate optimal policies for recurrent event outcomes subject to a terminating event. The iDID design is particularly useful in this setting because it leverages policy-induced treatment variation while allowing for pe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04134","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.04134/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.04134","created_at":"2026-06-04T00:06:51.519013+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.04134v1","created_at":"2026-06-04T00:06:51.519013+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04134","created_at":"2026-06-04T00:06:51.519013+00:00"},{"alias_kind":"pith_short_12","alias_value":"I7WANIDEVK65","created_at":"2026-06-04T00:06:51.519013+00:00"},{"alias_kind":"pith_short_16","alias_value":"I7WANIDEVK65BFDF","created_at":"2026-06-04T00:06:51.519013+00:00"},{"alias_kind":"pith_short_8","alias_value":"I7WANIDE","created_at":"2026-06-04T00:06:51.519013+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR","json":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR.json","graph_json":"https://pith.science/api/pith-number/I7WANIDEVK65BFDFAOZ3IUMAPR/graph.json","events_json":"https://pith.science/api/pith-number/I7WANIDEVK65BFDFAOZ3IUMAPR/events.json","paper":"https://pith.science/paper/I7WANIDE"},"agent_actions":{"view_html":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR","download_json":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR.json","view_paper":"https://pith.science/paper/I7WANIDE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.04134&json=true","fetch_graph":"https://pith.science/api/pith-number/I7WANIDEVK65BFDFAOZ3IUMAPR/graph.json","fetch_events":"https://pith.science/api/pith-number/I7WANIDEVK65BFDFAOZ3IUMAPR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR/action/storage_attestation","attest_author":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR/action/author_attestation","sign_citation":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR/action/citation_signature","submit_replication":"https://pith.science/pith/I7WANIDEVK65BFDFAOZ3IUMAPR/action/replication_record"}},"created_at":"2026-06-04T00:06:51.519013+00:00","updated_at":"2026-06-04T00:06:51.519013+00:00"}