{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:I24HD2TXRHGNDSXW2T32CBUCNS","short_pith_number":"pith:I24HD2TX","canonical_record":{"source":{"id":"2406.14085","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T08:00:42Z","cross_cats_sorted":[],"title_canon_sha256":"c967731933eb6ba8e3c49e36fb1101d52a1607cb9904b29f8f739bc1b5f966f7","abstract_canon_sha256":"a1dbc16c8d366be174d5a770c03d60b70ce4cd56a7db67cb691d3cdc921648d8"},"schema_version":"1.0"},"canonical_sha256":"46b871ea7789ccd1caf6d4f7a106826caf4301d11e4cc114b4b444c961a1b53e","source":{"kind":"arxiv","id":"2406.14085","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.14085","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"arxiv_version","alias_value":"2406.14085v1","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14085","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"pith_short_12","alias_value":"I24HD2TXRHGN","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"pith_short_16","alias_value":"I24HD2TXRHGNDSXW","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"pith_short_8","alias_value":"I24HD2TX","created_at":"2026-07-05T08:34:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:I24HD2TXRHGNDSXW2T32CBUCNS","target":"record","payload":{"canonical_record":{"source":{"id":"2406.14085","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T08:00:42Z","cross_cats_sorted":[],"title_canon_sha256":"c967731933eb6ba8e3c49e36fb1101d52a1607cb9904b29f8f739bc1b5f966f7","abstract_canon_sha256":"a1dbc16c8d366be174d5a770c03d60b70ce4cd56a7db67cb691d3cdc921648d8"},"schema_version":"1.0"},"canonical_sha256":"46b871ea7789ccd1caf6d4f7a106826caf4301d11e4cc114b4b444c961a1b53e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:38.790725Z","signature_b64":"Kl0/uwgUWx8dKDuYmlDMxzvy6UY3LHkqr1CTw8MyhHDivciI0AwSVxRymRhWyEvxJtWBJLgyavFU+reFdc0eCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46b871ea7789ccd1caf6d4f7a106826caf4301d11e4cc114b4b444c961a1b53e","last_reissued_at":"2026-07-05T08:34:38.790281Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:38.790281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.14085","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":"2026-07-05T08:34:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wuBvntX+WIPRg/Gsm971BEE+2vUrBofczfu0L2PDf79LgjZAaAPhSUH4HD3djw69wWvAhSSFiDrgKTxxuoaFAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T02:08:54.842098Z"},"content_sha256":"c4194a0bf6bd8d14b1cf446552f8e1b7a93d6060272628a7b9008965a12ce310","schema_version":"1.0","event_id":"sha256:c4194a0bf6bd8d14b1cf446552f8e1b7a93d6060272628a7b9008965a12ce310"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:I24HD2TXRHGNDSXW2T32CBUCNS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ga\\\"el Varoquaux (SODA), Judith Ab\\'ecassis (SODA), Julie Alberge (SODA), Olivier Grisel, Vincent Maladi\\`ere","submitted_at":"2024-06-20T08:00:42Z","abstract_excerpt":"When data are right-censored, i.e. some outcomes are missing due to a limited period of observation, survival analysis can compute the \"time to event\". Multiple classes of outcomes lead to a classification variant: predicting the most likely event, known as competing risks, which has been less studied. To build a loss that estimates outcome probabilities for such settings, we introduce a strictly proper censoring-adjusted separable scoring rule that can be optimized on a subpart of the data because the evaluation is made independently of observations. It enables stochastic optimization for com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14085","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/2406.14085/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":"2026-07-05T08:34:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VahUW42cfK0xD1dgjLcyh1vkKiYTrWkIX9AbbSGhaw9Vlhi4eB8alOGs8GWRnxVtqH67ia1bG8v2Wr29j0VzDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T02:08:54.842488Z"},"content_sha256":"b79aeb6042ab61ec817d820ce4b6ac12cbb84c52e921d7b5bcb90c64b79bab65","schema_version":"1.0","event_id":"sha256:b79aeb6042ab61ec817d820ce4b6ac12cbb84c52e921d7b5bcb90c64b79bab65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I24HD2TXRHGNDSXW2T32CBUCNS/bundle.json","state_url":"https://pith.science/pith/I24HD2TXRHGNDSXW2T32CBUCNS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I24HD2TXRHGNDSXW2T32CBUCNS/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":"2026-08-02T02:08:54Z","links":{"resolver":"https://pith.science/pith/I24HD2TXRHGNDSXW2T32CBUCNS","bundle":"https://pith.science/pith/I24HD2TXRHGNDSXW2T32CBUCNS/bundle.json","state":"https://pith.science/pith/I24HD2TXRHGNDSXW2T32CBUCNS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I24HD2TXRHGNDSXW2T32CBUCNS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I24HD2TXRHGNDSXW2T32CBUCNS","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":"a1dbc16c8d366be174d5a770c03d60b70ce4cd56a7db67cb691d3cdc921648d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T08:00:42Z","title_canon_sha256":"c967731933eb6ba8e3c49e36fb1101d52a1607cb9904b29f8f739bc1b5f966f7"},"schema_version":"1.0","source":{"id":"2406.14085","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.14085","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"arxiv_version","alias_value":"2406.14085v1","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14085","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"pith_short_12","alias_value":"I24HD2TXRHGN","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"pith_short_16","alias_value":"I24HD2TXRHGNDSXW","created_at":"2026-07-05T08:34:38Z"},{"alias_kind":"pith_short_8","alias_value":"I24HD2TX","created_at":"2026-07-05T08:34:38Z"}],"graph_snapshots":[{"event_id":"sha256:b79aeb6042ab61ec817d820ce4b6ac12cbb84c52e921d7b5bcb90c64b79bab65","target":"graph","created_at":"2026-07-05T08:34:38Z","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/2406.14085/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When data are right-censored, i.e. some outcomes are missing due to a limited period of observation, survival analysis can compute the \"time to event\". Multiple classes of outcomes lead to a classification variant: predicting the most likely event, known as competing risks, which has been less studied. To build a loss that estimates outcome probabilities for such settings, we introduce a strictly proper censoring-adjusted separable scoring rule that can be optimized on a subpart of the data because the evaluation is made independently of observations. It enables stochastic optimization for com","authors_text":"Ga\\\"el Varoquaux (SODA), Judith Ab\\'ecassis (SODA), Julie Alberge (SODA), Olivier Grisel, Vincent Maladi\\`ere","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T08:00:42Z","title":"Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14085","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:c4194a0bf6bd8d14b1cf446552f8e1b7a93d6060272628a7b9008965a12ce310","target":"record","created_at":"2026-07-05T08:34:38Z","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":"a1dbc16c8d366be174d5a770c03d60b70ce4cd56a7db67cb691d3cdc921648d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-06-20T08:00:42Z","title_canon_sha256":"c967731933eb6ba8e3c49e36fb1101d52a1607cb9904b29f8f739bc1b5f966f7"},"schema_version":"1.0","source":{"id":"2406.14085","kind":"arxiv","version":1}},"canonical_sha256":"46b871ea7789ccd1caf6d4f7a106826caf4301d11e4cc114b4b444c961a1b53e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46b871ea7789ccd1caf6d4f7a106826caf4301d11e4cc114b4b444c961a1b53e","first_computed_at":"2026-07-05T08:34:38.790281Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:38.790281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kl0/uwgUWx8dKDuYmlDMxzvy6UY3LHkqr1CTw8MyhHDivciI0AwSVxRymRhWyEvxJtWBJLgyavFU+reFdc0eCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:38.790725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.14085","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4194a0bf6bd8d14b1cf446552f8e1b7a93d6060272628a7b9008965a12ce310","sha256:b79aeb6042ab61ec817d820ce4b6ac12cbb84c52e921d7b5bcb90c64b79bab65"],"state_sha256":"c92fb199b16f83088774563195a115d928f2beca8ef303fe39777382f27485a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z5KKZOhyg3FwQe4Rau0O8Nyraff26dyDz0ZttVdyLarBCFn59tCt3Tu1V9AMo3XoE5Zk3b1qikhPk52c95mgCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T02:08:54.844722Z","bundle_sha256":"0017514bb843486f4b1cf92b0b0da1f7605f70f6b16d8d510beefc989e95c5b3"}}