{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5UULO4EZV3JEMP5NT7SZ2Q54QW","short_pith_number":"pith:5UULO4EZ","canonical_record":{"source":{"id":"2408.06539","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-08-13T00:20:02Z","cross_cats_sorted":[],"title_canon_sha256":"13538a4ad04d3b16fc3db83e5eef0f7cbd70bd6f91669659860d5a75d4f5d53d","abstract_canon_sha256":"210c601da65a93d96eeb7b32b2fe52f1cef74c932a9057140f562c4d6d1ff538"},"schema_version":"1.0"},"canonical_sha256":"ed28b77099aed2463fad9fe59d43bc85b9488e4ffb9553cfbfe2f35176d4cc0c","source":{"kind":"arxiv","id":"2408.06539","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.06539","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2408.06539v1","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06539","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"5UULO4EZV3JE","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"5UULO4EZV3JEMP5N","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"5UULO4EZ","created_at":"2026-07-05T11:14:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5UULO4EZV3JEMP5NT7SZ2Q54QW","target":"record","payload":{"canonical_record":{"source":{"id":"2408.06539","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-08-13T00:20:02Z","cross_cats_sorted":[],"title_canon_sha256":"13538a4ad04d3b16fc3db83e5eef0f7cbd70bd6f91669659860d5a75d4f5d53d","abstract_canon_sha256":"210c601da65a93d96eeb7b32b2fe52f1cef74c932a9057140f562c4d6d1ff538"},"schema_version":"1.0"},"canonical_sha256":"ed28b77099aed2463fad9fe59d43bc85b9488e4ffb9553cfbfe2f35176d4cc0c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:24.215464Z","signature_b64":"7n8qxxvnXE87ZBrqm726nQ2SlKt4e4dvUJ+7wS2ZvpCauzcVzAx1L3i4ugNW7pBfV/lXzyNQPsVdLc1zt/tHAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed28b77099aed2463fad9fe59d43bc85b9488e4ffb9553cfbfe2f35176d4cc0c","last_reissued_at":"2026-07-05T11:14:24.214928Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:24.214928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.06539","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":"2026-07-05T11:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0xM9cZk9QKPMtBMs2RtNMrS6mUG+N3RS2BoPFXyG0mhq7yhLZeGVTCwG1/kSFbdVkCM9ewydTS987cjfIqlDCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T23:09:43.639074Z"},"content_sha256":"b0d88b67efa34c271977fec19ab03ad5b2bcd4abf06a027b72f89a9a4af75190","schema_version":"1.0","event_id":"sha256:b0d88b67efa34c271977fec19ab03ad5b2bcd4abf06a027b72f89a9a4af75190"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5UULO4EZV3JEMP5NT7SZ2Q54QW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conformal predictive intervals in survival analysis: a re-sampling approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Jing Ning, Jing Qin, Jin Piao, Yu Shen","submitted_at":"2024-08-13T00:20:02Z","abstract_excerpt":"The distribution-free method of conformal prediction (Vovk et al, 2005) has gained considerable attention in computer science, machine learning, and statistics. Candes et al. (2023) extended this method to right-censored survival data, addressing right-censoring complexity by creating a covariate shift setting, extracting a subcohort of subjects with censoring times exceeding a fixed threshold. Their approach only estimates the lower prediction bound for type I censoring, where all subjects have available censoring times regardless of their failure status. In medical applications, we often enc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06539","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/2408.06539/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":"2026-07-05T11:14:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yFbNOkmWCyymOpe0IsTaKzLFQtTELmpXFeNC8N+9lieej8G61pre1CWLd5NJ87pOl3KVKpL9+UdqzVXPq67/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T23:09:43.639568Z"},"content_sha256":"57510775273a0962f0fa59d02052b60f3cd808a43d54d86a561dab9a02350fca","schema_version":"1.0","event_id":"sha256:57510775273a0962f0fa59d02052b60f3cd808a43d54d86a561dab9a02350fca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW/bundle.json","state_url":"https://pith.science/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW/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":"2026-08-20T23:09:43Z","links":{"resolver":"https://pith.science/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW","bundle":"https://pith.science/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW/bundle.json","state":"https://pith.science/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5UULO4EZV3JEMP5NT7SZ2Q54QW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5UULO4EZV3JEMP5NT7SZ2Q54QW","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":"210c601da65a93d96eeb7b32b2fe52f1cef74c932a9057140f562c4d6d1ff538","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-08-13T00:20:02Z","title_canon_sha256":"13538a4ad04d3b16fc3db83e5eef0f7cbd70bd6f91669659860d5a75d4f5d53d"},"schema_version":"1.0","source":{"id":"2408.06539","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.06539","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"arxiv_version","alias_value":"2408.06539v1","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06539","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"pith_short_12","alias_value":"5UULO4EZV3JE","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"pith_short_16","alias_value":"5UULO4EZV3JEMP5N","created_at":"2026-07-05T11:14:24Z"},{"alias_kind":"pith_short_8","alias_value":"5UULO4EZ","created_at":"2026-07-05T11:14:24Z"}],"graph_snapshots":[{"event_id":"sha256:57510775273a0962f0fa59d02052b60f3cd808a43d54d86a561dab9a02350fca","target":"graph","created_at":"2026-07-05T11:14:24Z","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/2408.06539/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The distribution-free method of conformal prediction (Vovk et al, 2005) has gained considerable attention in computer science, machine learning, and statistics. Candes et al. (2023) extended this method to right-censored survival data, addressing right-censoring complexity by creating a covariate shift setting, extracting a subcohort of subjects with censoring times exceeding a fixed threshold. Their approach only estimates the lower prediction bound for type I censoring, where all subjects have available censoring times regardless of their failure status. In medical applications, we often enc","authors_text":"Jing Ning, Jing Qin, Jin Piao, Yu Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-08-13T00:20:02Z","title":"Conformal predictive intervals in survival analysis: a re-sampling approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06539","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:b0d88b67efa34c271977fec19ab03ad5b2bcd4abf06a027b72f89a9a4af75190","target":"record","created_at":"2026-07-05T11:14:24Z","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":"210c601da65a93d96eeb7b32b2fe52f1cef74c932a9057140f562c4d6d1ff538","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-08-13T00:20:02Z","title_canon_sha256":"13538a4ad04d3b16fc3db83e5eef0f7cbd70bd6f91669659860d5a75d4f5d53d"},"schema_version":"1.0","source":{"id":"2408.06539","kind":"arxiv","version":1}},"canonical_sha256":"ed28b77099aed2463fad9fe59d43bc85b9488e4ffb9553cfbfe2f35176d4cc0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed28b77099aed2463fad9fe59d43bc85b9488e4ffb9553cfbfe2f35176d4cc0c","first_computed_at":"2026-07-05T11:14:24.214928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:24.214928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7n8qxxvnXE87ZBrqm726nQ2SlKt4e4dvUJ+7wS2ZvpCauzcVzAx1L3i4ugNW7pBfV/lXzyNQPsVdLc1zt/tHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:24.215464Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.06539","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0d88b67efa34c271977fec19ab03ad5b2bcd4abf06a027b72f89a9a4af75190","sha256:57510775273a0962f0fa59d02052b60f3cd808a43d54d86a561dab9a02350fca"],"state_sha256":"95c1136e0b7a180446988eaa3a47d30078f501a3134afeaefab4ecc56d1c660c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MrAA/065O6a1+Hq4bHQCcbWFdjLPk/bU/mLQ7hqXmzg0/iXwOEL6Phqlq+qY4ZKhZ1OfCRYhO83ckhNzGZK+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T23:09:43.644021Z","bundle_sha256":"76c635d5fe74589d5fefc0504c2a44be961355360aa7b6b0c1a65274998af47a"}}