{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VK67MDZATL7YTDFUXCKXHI6FJR","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"35e483ba9de8cc4c14d7fbcbe5ef61265f5984be66c0c2c15410a51fdbe7acd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-11-29T02:57:39Z","title_canon_sha256":"1e01f118dc66c25f58a12d087881cd8594e8de71c114f525956fface6a7fa4aa"},"schema_version":"1.0","source":{"id":"1711.10654","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.10654","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"arxiv_version","alias_value":"1711.10654v1","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10654","created_at":"2026-05-18T00:29:17Z"},{"alias_kind":"pith_short_12","alias_value":"VK67MDZATL7Y","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VK67MDZATL7YTDFU","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VK67MDZA","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:602c95b61ead756e47dac681fe2891af82343c71785d21acbacf123d2881a4c1","target":"graph","created_at":"2026-05-18T00:29:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Precision medicine is of considerable interest in clinical, academic and regulatory parties. The key to precision medicine is the optimal treatment regime. Recently, Zhou et al. (2017) developed residual weighted learning (RWL) to construct the optimal regime that directly optimize the clinical outcome. However, this method involves computationally intensive non-convex optimization, which cannot guarantee a global solution. Furthermore, this method does not possess fully semiparametrical efficiency. In this article, we propose augmented outcome-weighted learning (AOL). The method is built on a","authors_text":"Michael R. Kosorok, Xin Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-11-29T02:57:39Z","title":"Augmented Outcome-weighted Learning for Optimal Treatment Regimes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10654","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6ca06885e1351e73cf08ed9a87e6347e3ffbc52a2be22ea10e40b140372b1a05","target":"record","created_at":"2026-05-18T00:29:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"35e483ba9de8cc4c14d7fbcbe5ef61265f5984be66c0c2c15410a51fdbe7acd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-11-29T02:57:39Z","title_canon_sha256":"1e01f118dc66c25f58a12d087881cd8594e8de71c114f525956fface6a7fa4aa"},"schema_version":"1.0","source":{"id":"1711.10654","kind":"arxiv","version":1}},"canonical_sha256":"aabdf60f209aff898cb4b89573a3c54c6a1e4895a9f4e5aad3050153c8a8e2f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aabdf60f209aff898cb4b89573a3c54c6a1e4895a9f4e5aad3050153c8a8e2f6","first_computed_at":"2026-05-18T00:29:17.391334Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:17.391334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D9Qw2AvJ6RUcocgU2ymoyJI04Qjuoaqk9V7n2Dg4aaikk5KnKVulBGOh9ulqDamiddvseEO0kZw88N3XnnB9Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:17.391846Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.10654","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ca06885e1351e73cf08ed9a87e6347e3ffbc52a2be22ea10e40b140372b1a05","sha256:602c95b61ead756e47dac681fe2891af82343c71785d21acbacf123d2881a4c1"],"state_sha256":"446570ed092d3042f9d5d98d2ad810326206d55c507b7cd5ff438266b0bc5770"}