{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:MW7LOTOELEKEHALAA3LJKCWYOK","short_pith_number":"pith:MW7LOTOE","canonical_record":{"source":{"id":"1809.05627","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-09-15T01:09:42Z","cross_cats_sorted":[],"title_canon_sha256":"373c1c2e0857d7418e56b881d581c8b3c3a764e53799479bf88bea3cddf3a946","abstract_canon_sha256":"12b1ef21d6e1e48e1d03c5c4c402cf2fbe54e3641ea510e65eeff57b4146d783"},"schema_version":"1.0"},"canonical_sha256":"65beb74dc4591443816006d6950ad872bdb8320311c34a19eb256219f2f39080","source":{"kind":"arxiv","id":"1809.05627","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.05627","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"arxiv_version","alias_value":"1809.05627v3","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05627","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"pith_short_12","alias_value":"MW7LOTOELEKE","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"pith_short_16","alias_value":"MW7LOTOELEKEHALA","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"pith_short_8","alias_value":"MW7LOTOE","created_at":"2026-07-05T00:32:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:MW7LOTOELEKEHALAA3LJKCWYOK","target":"record","payload":{"canonical_record":{"source":{"id":"1809.05627","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-09-15T01:09:42Z","cross_cats_sorted":[],"title_canon_sha256":"373c1c2e0857d7418e56b881d581c8b3c3a764e53799479bf88bea3cddf3a946","abstract_canon_sha256":"12b1ef21d6e1e48e1d03c5c4c402cf2fbe54e3641ea510e65eeff57b4146d783"},"schema_version":"1.0"},"canonical_sha256":"65beb74dc4591443816006d6950ad872bdb8320311c34a19eb256219f2f39080","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:32:47.510236Z","signature_b64":"3f5rFZabPlPYRtFsS/s12N9kz/tC2f6MQspat3O+Zz9Yi36wUxcHVkqNoIMOkJLE/DaHhdokMkS2c41v1l7oDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"65beb74dc4591443816006d6950ad872bdb8320311c34a19eb256219f2f39080","last_reissued_at":"2026-07-05T00:32:47.509767Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:32:47.509767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.05627","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:32:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+osuQPvxhNLsU6CxIk0/u5vKFuvhE62VNkKCaJpYmNMu31pzXtMWH2xnOOl0Epl+9hK5xqbvUfd4c+VZYd2vAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T16:51:57.131469Z"},"content_sha256":"4a7cfe28d98d6812717ee43cc82c21ced99997c16bd1577f2b549fe1d745deeb","schema_version":"1.0","event_id":"sha256:4a7cfe28d98d6812717ee43cc82c21ced99997c16bd1577f2b549fe1d745deeb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:MW7LOTOELEKEHALAA3LJKCWYOK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ROC-Guided Survival Trees and Ensembles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Mei-Cheng Wang, Sy Han Chiou, Yifei Sun","submitted_at":"2018-09-15T01:09:42Z","abstract_excerpt":"Tree-based methods are popular nonparametric tools in studying time-to-event outcomes. In this article, we introduce a novel framework for survival trees and ensembles, where the trees partition the dynamic survivor population and can handle time-dependent covariates. Using the idea of randomized tests, we develop generalized time-dependent Receiver Operating Characteristic (ROC) curves for evaluating the performance of survival trees. The tree-building algorithm is guided by decision-theoretic criteria based on ROC, targeting specifically for prediction accuracy. To address the instability is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05627","kind":"arxiv","version":3},"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/1809.05627/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:32:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4iDOmvH68SpFhg7roneUqFQh4TYVEfyl02g29aSf3Asg7U0sUI6fzRcAaoA/EUsIt1em70i8nBMk13AaCStQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T16:51:57.131842Z"},"content_sha256":"2f0d87a990a895c2981eac63a2d832848ef9134de0d30d3a32573383d51e6a6f","schema_version":"1.0","event_id":"sha256:2f0d87a990a895c2981eac63a2d832848ef9134de0d30d3a32573383d51e6a6f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MW7LOTOELEKEHALAA3LJKCWYOK/bundle.json","state_url":"https://pith.science/pith/MW7LOTOELEKEHALAA3LJKCWYOK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MW7LOTOELEKEHALAA3LJKCWYOK/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":"2026-07-18T16:51:57Z","links":{"resolver":"https://pith.science/pith/MW7LOTOELEKEHALAA3LJKCWYOK","bundle":"https://pith.science/pith/MW7LOTOELEKEHALAA3LJKCWYOK/bundle.json","state":"https://pith.science/pith/MW7LOTOELEKEHALAA3LJKCWYOK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MW7LOTOELEKEHALAA3LJKCWYOK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:MW7LOTOELEKEHALAA3LJKCWYOK","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":"12b1ef21d6e1e48e1d03c5c4c402cf2fbe54e3641ea510e65eeff57b4146d783","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-09-15T01:09:42Z","title_canon_sha256":"373c1c2e0857d7418e56b881d581c8b3c3a764e53799479bf88bea3cddf3a946"},"schema_version":"1.0","source":{"id":"1809.05627","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.05627","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"arxiv_version","alias_value":"1809.05627v3","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05627","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"pith_short_12","alias_value":"MW7LOTOELEKE","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"pith_short_16","alias_value":"MW7LOTOELEKEHALA","created_at":"2026-07-05T00:32:47Z"},{"alias_kind":"pith_short_8","alias_value":"MW7LOTOE","created_at":"2026-07-05T00:32:47Z"}],"graph_snapshots":[{"event_id":"sha256:2f0d87a990a895c2981eac63a2d832848ef9134de0d30d3a32573383d51e6a6f","target":"graph","created_at":"2026-07-05T00:32:47Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1809.05627/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tree-based methods are popular nonparametric tools in studying time-to-event outcomes. In this article, we introduce a novel framework for survival trees and ensembles, where the trees partition the dynamic survivor population and can handle time-dependent covariates. Using the idea of randomized tests, we develop generalized time-dependent Receiver Operating Characteristic (ROC) curves for evaluating the performance of survival trees. The tree-building algorithm is guided by decision-theoretic criteria based on ROC, targeting specifically for prediction accuracy. To address the instability is","authors_text":"Mei-Cheng Wang, Sy Han Chiou, Yifei Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-09-15T01:09:42Z","title":"ROC-Guided Survival Trees and Ensembles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05627","kind":"arxiv","version":3},"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":"sha256:4a7cfe28d98d6812717ee43cc82c21ced99997c16bd1577f2b549fe1d745deeb","target":"record","created_at":"2026-07-05T00:32:47Z","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":"12b1ef21d6e1e48e1d03c5c4c402cf2fbe54e3641ea510e65eeff57b4146d783","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-09-15T01:09:42Z","title_canon_sha256":"373c1c2e0857d7418e56b881d581c8b3c3a764e53799479bf88bea3cddf3a946"},"schema_version":"1.0","source":{"id":"1809.05627","kind":"arxiv","version":3}},"canonical_sha256":"65beb74dc4591443816006d6950ad872bdb8320311c34a19eb256219f2f39080","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"65beb74dc4591443816006d6950ad872bdb8320311c34a19eb256219f2f39080","first_computed_at":"2026-07-05T00:32:47.509767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:32:47.509767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3f5rFZabPlPYRtFsS/s12N9kz/tC2f6MQspat3O+Zz9Yi36wUxcHVkqNoIMOkJLE/DaHhdokMkS2c41v1l7oDw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:32:47.510236Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.05627","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a7cfe28d98d6812717ee43cc82c21ced99997c16bd1577f2b549fe1d745deeb","sha256:2f0d87a990a895c2981eac63a2d832848ef9134de0d30d3a32573383d51e6a6f"],"state_sha256":"3dd4f2a35de4c1c3bf1ff90fac78f824c1506491d22461c7e5b963f991b06e08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LHtoGNiG5N07hdrvhQdxT4D9XJChjhEGmkZN5sfaeLcK3p1+W3u3nWZ2/YDP0ZZlRcxgfAdxkasoG1lG1gc8DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T16:51:57.134289Z","bundle_sha256":"903c45484f7714685b12ffdb0c8cc716c2f0cdcc76717c28d491c485a6d5dabd"}}