{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3JHNH4WY3PK3HSRDX6D6URTCZL","short_pith_number":"pith:3JHNH4WY","canonical_record":{"source":{"id":"1802.08178","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-22T17:07:24Z","cross_cats_sorted":[],"title_canon_sha256":"03d33212b5542d2b10075ec5887f4b853d6c7c69e4018188f6a592a0fd1debdc","abstract_canon_sha256":"2d8fefc2cc98dcb257faeef743b78673cb6bc7273fa5b4c976c4c15b528e2bdc"},"schema_version":"1.0"},"canonical_sha256":"da4ed3f2d8dbd5b3ca23bf87ea4662cae7013c6895977d009a7e6300f69378ea","source":{"kind":"arxiv","id":"1802.08178","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.08178","created_at":"2026-05-18T00:22:36Z"},{"alias_kind":"arxiv_version","alias_value":"1802.08178v2","created_at":"2026-05-18T00:22:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.08178","created_at":"2026-05-18T00:22:36Z"},{"alias_kind":"pith_short_12","alias_value":"3JHNH4WY3PK3","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3JHNH4WY3PK3HSRD","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3JHNH4WY","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3JHNH4WY3PK3HSRDX6D6URTCZL","target":"record","payload":{"canonical_record":{"source":{"id":"1802.08178","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-22T17:07:24Z","cross_cats_sorted":[],"title_canon_sha256":"03d33212b5542d2b10075ec5887f4b853d6c7c69e4018188f6a592a0fd1debdc","abstract_canon_sha256":"2d8fefc2cc98dcb257faeef743b78673cb6bc7273fa5b4c976c4c15b528e2bdc"},"schema_version":"1.0"},"canonical_sha256":"da4ed3f2d8dbd5b3ca23bf87ea4662cae7013c6895977d009a7e6300f69378ea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:22:36.785512Z","signature_b64":"2cBAetnibkeuvMJb22p2KHanRAWgTxJ0x+5uWO4vNohX3JE0QS6Qa9oX6TSCCjHEw3doI+hrn3coHkklAi3tAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da4ed3f2d8dbd5b3ca23bf87ea4662cae7013c6895977d009a7e6300f69378ea","last_reissued_at":"2026-05-18T00:22:36.784814Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:22:36.784814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.08178","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:22:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DS23eVkWeNUm9CrBWEhsu8af0QVcKN+SwIphtRoIGEleyK+GOqKweQVzuyUtwmNRlQC7QLokaHLm9ZGGbmrxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T06:40:37.014710Z"},"content_sha256":"f1b0df87b810c35a3be2075e924aefc822b54f198368a6927993ee191de3412d","schema_version":"1.0","event_id":"sha256:f1b0df87b810c35a3be2075e924aefc822b54f198368a6927993ee191de3412d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3JHNH4WY3PK3HSRDX6D6URTCZL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Matthias Schmid, Thomas Welchowski, Verena Zuber","submitted_at":"2018-02-22T17:07:24Z","abstract_excerpt":"Background: The development of classification methods for personalized medicine is highly dependent on the identification of predictive genetic markers. In survival analysis it is often necessary to discriminate between influential and non-influential markers. Usually, the first step is to perform a univariate screening step that ranks the markers according to their associations with the outcome. It is common to perform screening using Cox scores, which quantify the associations between survival and each of the markers individually. Since Cox scores do not account for dependencies between the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.08178","kind":"arxiv","version":2},"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":"2026-05-18T00:22:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uUwWtxSoSlcVYfXzT58sCVSmq1/nkSPUgQGkVZEFL/y1J0Lz3wb0PIaOyeW/wPTjwQ2jz2TolvaQdSl3A1+lDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T06:40:37.015349Z"},"content_sha256":"b97985e2c37b5906c5065d1748c61080af49dc58a38a5509c913a8232bf830ec","schema_version":"1.0","event_id":"sha256:b97985e2c37b5906c5065d1748c61080af49dc58a38a5509c913a8232bf830ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3JHNH4WY3PK3HSRDX6D6URTCZL/bundle.json","state_url":"https://pith.science/pith/3JHNH4WY3PK3HSRDX6D6URTCZL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3JHNH4WY3PK3HSRDX6D6URTCZL/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":"2026-05-31T06:40:37Z","links":{"resolver":"https://pith.science/pith/3JHNH4WY3PK3HSRDX6D6URTCZL","bundle":"https://pith.science/pith/3JHNH4WY3PK3HSRDX6D6URTCZL/bundle.json","state":"https://pith.science/pith/3JHNH4WY3PK3HSRDX6D6URTCZL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3JHNH4WY3PK3HSRDX6D6URTCZL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3JHNH4WY3PK3HSRDX6D6URTCZL","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":"2d8fefc2cc98dcb257faeef743b78673cb6bc7273fa5b4c976c4c15b528e2bdc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-22T17:07:24Z","title_canon_sha256":"03d33212b5542d2b10075ec5887f4b853d6c7c69e4018188f6a592a0fd1debdc"},"schema_version":"1.0","source":{"id":"1802.08178","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.08178","created_at":"2026-05-18T00:22:36Z"},{"alias_kind":"arxiv_version","alias_value":"1802.08178v2","created_at":"2026-05-18T00:22:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.08178","created_at":"2026-05-18T00:22:36Z"},{"alias_kind":"pith_short_12","alias_value":"3JHNH4WY3PK3","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3JHNH4WY3PK3HSRD","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3JHNH4WY","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:b97985e2c37b5906c5065d1748c61080af49dc58a38a5509c913a8232bf830ec","target":"graph","created_at":"2026-05-18T00:22:36Z","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":"Background: The development of classification methods for personalized medicine is highly dependent on the identification of predictive genetic markers. In survival analysis it is often necessary to discriminate between influential and non-influential markers. Usually, the first step is to perform a univariate screening step that ranks the markers according to their associations with the outcome. It is common to perform screening using Cox scores, which quantify the associations between survival and each of the markers individually. Since Cox scores do not account for dependencies between the ","authors_text":"Matthias Schmid, Thomas Welchowski, Verena Zuber","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-22T17:07:24Z","title":"Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.08178","kind":"arxiv","version":2},"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:f1b0df87b810c35a3be2075e924aefc822b54f198368a6927993ee191de3412d","target":"record","created_at":"2026-05-18T00:22:36Z","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":"2d8fefc2cc98dcb257faeef743b78673cb6bc7273fa5b4c976c4c15b528e2bdc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-02-22T17:07:24Z","title_canon_sha256":"03d33212b5542d2b10075ec5887f4b853d6c7c69e4018188f6a592a0fd1debdc"},"schema_version":"1.0","source":{"id":"1802.08178","kind":"arxiv","version":2}},"canonical_sha256":"da4ed3f2d8dbd5b3ca23bf87ea4662cae7013c6895977d009a7e6300f69378ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da4ed3f2d8dbd5b3ca23bf87ea4662cae7013c6895977d009a7e6300f69378ea","first_computed_at":"2026-05-18T00:22:36.784814Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:36.784814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2cBAetnibkeuvMJb22p2KHanRAWgTxJ0x+5uWO4vNohX3JE0QS6Qa9oX6TSCCjHEw3doI+hrn3coHkklAi3tAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:36.785512Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.08178","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1b0df87b810c35a3be2075e924aefc822b54f198368a6927993ee191de3412d","sha256:b97985e2c37b5906c5065d1748c61080af49dc58a38a5509c913a8232bf830ec"],"state_sha256":"7eece683900cd0ecb397af2a0231dd9ebcbea8bc6ce003315790120fca400a78"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iGgVl9kgzOcPWwH4CNUC88ISV+hhfqSZ0CqzhUHT4MKEfjybHwS1SB/0Nw62/GpjNtYI2F3C8Ht6MEW+xR1tDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T06:40:37.018712Z","bundle_sha256":"740d2918d2f38730426ed1b4079a879376ecc042122185359306264e7d29f691"}}