{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HB7AZIOU2R7UTL7GBCQJODZX6U","short_pith_number":"pith:HB7AZIOU","canonical_record":{"source":{"id":"2304.13594","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-26T14:42:31Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"f2195e396c00c5bba973ace537db2cfd753b012a454b18ec970bbd04e69cfbcb","abstract_canon_sha256":"f4e0c24fb4d3ea2cd9d6d739c71b7bbfc58835b94c71fffcd5a87b7d7898a6e4"},"schema_version":"1.0"},"canonical_sha256":"387e0ca1d4d47f49afe608a0970f37f510c80a4ae9c1e4d281abe1195ce3f926","source":{"kind":"arxiv","id":"2304.13594","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.13594","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"arxiv_version","alias_value":"2304.13594v1","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13594","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"pith_short_12","alias_value":"HB7AZIOU2R7U","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"pith_short_16","alias_value":"HB7AZIOU2R7UTL7G","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"pith_short_8","alias_value":"HB7AZIOU","created_at":"2026-07-05T06:04:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HB7AZIOU2R7UTL7GBCQJODZX6U","target":"record","payload":{"canonical_record":{"source":{"id":"2304.13594","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-26T14:42:31Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"f2195e396c00c5bba973ace537db2cfd753b012a454b18ec970bbd04e69cfbcb","abstract_canon_sha256":"f4e0c24fb4d3ea2cd9d6d739c71b7bbfc58835b94c71fffcd5a87b7d7898a6e4"},"schema_version":"1.0"},"canonical_sha256":"387e0ca1d4d47f49afe608a0970f37f510c80a4ae9c1e4d281abe1195ce3f926","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:04:46.382369Z","signature_b64":"d5Lzrf+JRsledIxYsWb+PqSg6soNdyfuJXGU6QKzil1qbrKbzIzppNG0JnG0Xvyq4FcLbMETXMxGWxjcd8nFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"387e0ca1d4d47f49afe608a0970f37f510c80a4ae9c1e4d281abe1195ce3f926","last_reissued_at":"2026-07-05T06:04:46.381932Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:04:46.381932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.13594","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":"2026-07-05T06:04:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XoVPPqSJ7fciCMtvd9OgFIv3AWMD8KHUFke9tNyi9lWwhC5HQJzqq7PLTU9b2lVK6tJdYVZJxZZPZkLdaGotCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:43:00.502331Z"},"content_sha256":"1cd4e8cda400e303a647364ad4d644f496a2d0cac85f88fae36d3f9d49be2ed8","schema_version":"1.0","event_id":"sha256:1cd4e8cda400e303a647364ad4d644f496a2d0cac85f88fae36d3f9d49be2ed8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HB7AZIOU2R7UTL7GBCQJODZX6U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Diffsurv: Differentiable sorting for censored time-to-event data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Andre Vauvelle, Aylin Cakiroglu, Benjamin Wild, Roland Eils, Spiros Denaxas","submitted_at":"2023-04-26T14:42:31Z","abstract_excerpt":"Survival analysis is a crucial semi-supervised task in machine learning with numerous real-world applications, particularly in healthcare. Currently, the most common approach to survival analysis is based on Cox's partial likelihood, which can be interpreted as a ranking model optimized on a lower bound of the concordance index. This relation between ranking models and Cox's partial likelihood considers only pairwise comparisons. Recent work has developed differentiable sorting methods which relax this pairwise independence assumption, enabling the ranking of sets of samples. However, current "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13594","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/2304.13594/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":"2026-07-05T06:04:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m9fWg3c/6tLFdLz3uduPziyweCjnunMxNlfCbIVnEFlYixbKqKlBVqoUUcyYLmqlR2gHTK2gNBO9RdEo8EKKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:43:00.502712Z"},"content_sha256":"b447a5ac667e68183eaf24ebcc04cb865a6809863b610e72b25202548db75512","schema_version":"1.0","event_id":"sha256:b447a5ac667e68183eaf24ebcc04cb865a6809863b610e72b25202548db75512"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HB7AZIOU2R7UTL7GBCQJODZX6U/bundle.json","state_url":"https://pith.science/pith/HB7AZIOU2R7UTL7GBCQJODZX6U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HB7AZIOU2R7UTL7GBCQJODZX6U/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":"2026-07-06T20:43:00Z","links":{"resolver":"https://pith.science/pith/HB7AZIOU2R7UTL7GBCQJODZX6U","bundle":"https://pith.science/pith/HB7AZIOU2R7UTL7GBCQJODZX6U/bundle.json","state":"https://pith.science/pith/HB7AZIOU2R7UTL7GBCQJODZX6U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HB7AZIOU2R7UTL7GBCQJODZX6U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HB7AZIOU2R7UTL7GBCQJODZX6U","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":"f4e0c24fb4d3ea2cd9d6d739c71b7bbfc58835b94c71fffcd5a87b7d7898a6e4","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-26T14:42:31Z","title_canon_sha256":"f2195e396c00c5bba973ace537db2cfd753b012a454b18ec970bbd04e69cfbcb"},"schema_version":"1.0","source":{"id":"2304.13594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.13594","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"arxiv_version","alias_value":"2304.13594v1","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13594","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"pith_short_12","alias_value":"HB7AZIOU2R7U","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"pith_short_16","alias_value":"HB7AZIOU2R7UTL7G","created_at":"2026-07-05T06:04:46Z"},{"alias_kind":"pith_short_8","alias_value":"HB7AZIOU","created_at":"2026-07-05T06:04:46Z"}],"graph_snapshots":[{"event_id":"sha256:b447a5ac667e68183eaf24ebcc04cb865a6809863b610e72b25202548db75512","target":"graph","created_at":"2026-07-05T06:04:46Z","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/2304.13594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Survival analysis is a crucial semi-supervised task in machine learning with numerous real-world applications, particularly in healthcare. Currently, the most common approach to survival analysis is based on Cox's partial likelihood, which can be interpreted as a ranking model optimized on a lower bound of the concordance index. This relation between ranking models and Cox's partial likelihood considers only pairwise comparisons. Recent work has developed differentiable sorting methods which relax this pairwise independence assumption, enabling the ranking of sets of samples. However, current ","authors_text":"Andre Vauvelle, Aylin Cakiroglu, Benjamin Wild, Roland Eils, Spiros Denaxas","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-26T14:42:31Z","title":"Diffsurv: Differentiable sorting for censored time-to-event data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13594","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":"sha256:1cd4e8cda400e303a647364ad4d644f496a2d0cac85f88fae36d3f9d49be2ed8","target":"record","created_at":"2026-07-05T06:04:46Z","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":"f4e0c24fb4d3ea2cd9d6d739c71b7bbfc58835b94c71fffcd5a87b7d7898a6e4","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-04-26T14:42:31Z","title_canon_sha256":"f2195e396c00c5bba973ace537db2cfd753b012a454b18ec970bbd04e69cfbcb"},"schema_version":"1.0","source":{"id":"2304.13594","kind":"arxiv","version":1}},"canonical_sha256":"387e0ca1d4d47f49afe608a0970f37f510c80a4ae9c1e4d281abe1195ce3f926","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"387e0ca1d4d47f49afe608a0970f37f510c80a4ae9c1e4d281abe1195ce3f926","first_computed_at":"2026-07-05T06:04:46.381932Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:04:46.381932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d5Lzrf+JRsledIxYsWb+PqSg6soNdyfuJXGU6QKzil1qbrKbzIzppNG0JnG0Xvyq4FcLbMETXMxGWxjcd8nFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:04:46.382369Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.13594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cd4e8cda400e303a647364ad4d644f496a2d0cac85f88fae36d3f9d49be2ed8","sha256:b447a5ac667e68183eaf24ebcc04cb865a6809863b610e72b25202548db75512"],"state_sha256":"a14b599696a5b2bce9660fa1f57f0ce1056c28e1f13fdb8e8566598b82c1ffd2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h4nAq84VdqdD0Ju4wpauCyglpzKkRF6EHFPui4uEEeNaNKXFM9TmrufiGl8nByThfqwkkcbsFcxl9BCawKERBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:43:00.504638Z","bundle_sha256":"305a60b32d1cca7ab674f3c435d6e1c1835cd5a295e2b94f244b5afc177dce87"}}