{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JZKDR2QQVODNLNMWZFIBTI5UZR","short_pith_number":"pith:JZKDR2QQ","canonical_record":{"source":{"id":"1804.05378","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-04-15T16:40:03Z","cross_cats_sorted":[],"title_canon_sha256":"688fc1ea7cd48d52ebd47a95374bdf62d1018803c808dc5d06596e1128b24aa6","abstract_canon_sha256":"492ad518c30b6d15c20e8e657683cbd725cb642e54d53f41c65447c436910b15"},"schema_version":"1.0"},"canonical_sha256":"4e5438ea10ab86d5b596c95019a3b4cc74a3778089d3645ed5a77ff343f4f334","source":{"kind":"arxiv","id":"1804.05378","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.05378","created_at":"2026-05-18T00:18:28Z"},{"alias_kind":"arxiv_version","alias_value":"1804.05378v1","created_at":"2026-05-18T00:18:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.05378","created_at":"2026-05-18T00:18:28Z"},{"alias_kind":"pith_short_12","alias_value":"JZKDR2QQVODN","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"JZKDR2QQVODNLNMW","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"JZKDR2QQ","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JZKDR2QQVODNLNMWZFIBTI5UZR","target":"record","payload":{"canonical_record":{"source":{"id":"1804.05378","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-04-15T16:40:03Z","cross_cats_sorted":[],"title_canon_sha256":"688fc1ea7cd48d52ebd47a95374bdf62d1018803c808dc5d06596e1128b24aa6","abstract_canon_sha256":"492ad518c30b6d15c20e8e657683cbd725cb642e54d53f41c65447c436910b15"},"schema_version":"1.0"},"canonical_sha256":"4e5438ea10ab86d5b596c95019a3b4cc74a3778089d3645ed5a77ff343f4f334","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:28.256134Z","signature_b64":"CONnlr0nnwfl85QY3Wi6Zvy4ZhtGX90BqhpkurL76po2py0tyRKSz/2QuoveUSaa5YkOnNmOnNdhnDqPMpqLDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e5438ea10ab86d5b596c95019a3b4cc74a3778089d3645ed5a77ff343f4f334","last_reissued_at":"2026-05-18T00:18:28.255801Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:28.255801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.05378","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:18:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7GnxIxBNT2HUGNs/vmt9MJoBbv+woluJ+cfbZ47UVE3ySolYUMerIHrYq0+BqPVzeu+zPcY9GqZwBeUfXOhhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T09:11:42.442377Z"},"content_sha256":"82d589765ba929f6b13ba8674ddb010dfce62644e1fc065687c1b2fe7f078baf","schema_version":"1.0","event_id":"sha256:82d589765ba929f6b13ba8674ddb010dfce62644e1fc065687c1b2fe7f078baf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JZKDR2QQVODNLNMWZFIBTI5UZR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Estimating Individualized Optimal Combination Therapies through Outcome Weighted Deep Learning Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Haoda Fu, Muxuan Liang, Ye Ting","submitted_at":"2018-04-15T16:40:03Z","abstract_excerpt":"With the advancement in drug development, multiple treatments are available for a single disease. Patients can often benefit from taking multiple treatments simultaneously. For example, patients in Clinical Practice Research Datalink (CPRD) with chronic diseases such as type 2 diabetes can receive multiple treatments simultaneously. Therefore, it is important to estimate what combination therapy from which patients can benefit the most. However, to recommend the best treatment combination is not a single-label but a multi-label classification problem. In this paper, we propose a novel outcome "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.05378","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:18:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FWLDHx4TzfoxnzrS/LG0yb5HxElQz82wtj111nhAjGkJMhmSSgZJ9x+dp5DSPI7NXRFdYcIpq/lRWp942j33Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T09:11:42.442731Z"},"content_sha256":"18043ff095606d52658c8238177ac25b3bc11e8ad14b8d31e304f7d9a1024b4c","schema_version":"1.0","event_id":"sha256:18043ff095606d52658c8238177ac25b3bc11e8ad14b8d31e304f7d9a1024b4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZKDR2QQVODNLNMWZFIBTI5UZR/bundle.json","state_url":"https://pith.science/pith/JZKDR2QQVODNLNMWZFIBTI5UZR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZKDR2QQVODNLNMWZFIBTI5UZR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-23T09:11:42Z","links":{"resolver":"https://pith.science/pith/JZKDR2QQVODNLNMWZFIBTI5UZR","bundle":"https://pith.science/pith/JZKDR2QQVODNLNMWZFIBTI5UZR/bundle.json","state":"https://pith.science/pith/JZKDR2QQVODNLNMWZFIBTI5UZR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZKDR2QQVODNLNMWZFIBTI5UZR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JZKDR2QQVODNLNMWZFIBTI5UZR","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":"492ad518c30b6d15c20e8e657683cbd725cb642e54d53f41c65447c436910b15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-04-15T16:40:03Z","title_canon_sha256":"688fc1ea7cd48d52ebd47a95374bdf62d1018803c808dc5d06596e1128b24aa6"},"schema_version":"1.0","source":{"id":"1804.05378","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.05378","created_at":"2026-05-18T00:18:28Z"},{"alias_kind":"arxiv_version","alias_value":"1804.05378v1","created_at":"2026-05-18T00:18:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.05378","created_at":"2026-05-18T00:18:28Z"},{"alias_kind":"pith_short_12","alias_value":"JZKDR2QQVODN","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"JZKDR2QQVODNLNMW","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"JZKDR2QQ","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:18043ff095606d52658c8238177ac25b3bc11e8ad14b8d31e304f7d9a1024b4c","target":"graph","created_at":"2026-05-18T00:18:28Z","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":"With the advancement in drug development, multiple treatments are available for a single disease. Patients can often benefit from taking multiple treatments simultaneously. For example, patients in Clinical Practice Research Datalink (CPRD) with chronic diseases such as type 2 diabetes can receive multiple treatments simultaneously. Therefore, it is important to estimate what combination therapy from which patients can benefit the most. However, to recommend the best treatment combination is not a single-label but a multi-label classification problem. In this paper, we propose a novel outcome ","authors_text":"Haoda Fu, Muxuan Liang, Ye Ting","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-04-15T16:40:03Z","title":"Estimating Individualized Optimal Combination Therapies through Outcome Weighted Deep Learning Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.05378","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":"sha256:82d589765ba929f6b13ba8674ddb010dfce62644e1fc065687c1b2fe7f078baf","target":"record","created_at":"2026-05-18T00:18:28Z","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":"492ad518c30b6d15c20e8e657683cbd725cb642e54d53f41c65447c436910b15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-04-15T16:40:03Z","title_canon_sha256":"688fc1ea7cd48d52ebd47a95374bdf62d1018803c808dc5d06596e1128b24aa6"},"schema_version":"1.0","source":{"id":"1804.05378","kind":"arxiv","version":1}},"canonical_sha256":"4e5438ea10ab86d5b596c95019a3b4cc74a3778089d3645ed5a77ff343f4f334","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e5438ea10ab86d5b596c95019a3b4cc74a3778089d3645ed5a77ff343f4f334","first_computed_at":"2026-05-18T00:18:28.255801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:28.255801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CONnlr0nnwfl85QY3Wi6Zvy4ZhtGX90BqhpkurL76po2py0tyRKSz/2QuoveUSaa5YkOnNmOnNdhnDqPMpqLDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:28.256134Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.05378","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:82d589765ba929f6b13ba8674ddb010dfce62644e1fc065687c1b2fe7f078baf","sha256:18043ff095606d52658c8238177ac25b3bc11e8ad14b8d31e304f7d9a1024b4c"],"state_sha256":"ba9462fa1f37de75af914aecf62e4299ffb46dce818c973f6b9e5eb71545ae13"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RPNGTVos2QJswbvlahvK5I2U0IOO4Brp3uCzj8X74qMVagNZstziocsA9S/PW3H6pZ3gcX4rnsmCxwNX2n0wBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T09:11:42.444723Z","bundle_sha256":"622f7ef67a7317556bceff2acc360a9389326b53cc21b1f286e75c47e3ad68a6"}}