{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:35JWUCH5Y2FVRQLMTXQNYPGOZE","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":"1d3431b08a4129ba5ccc260c27a376c7d76446f9399970ef727cc4c76042342d","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-09T16:41:04Z","title_canon_sha256":"315570c4394ca11a3ff742d56f98c4997aa68229200c4f546613b2b05cdcae50"},"schema_version":"1.0","source":{"id":"2502.05950","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05950","created_at":"2026-07-05T10:11:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05950v1","created_at":"2026-07-05T10:11:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05950","created_at":"2026-07-05T10:11:45Z"},{"alias_kind":"pith_short_12","alias_value":"35JWUCH5Y2FV","created_at":"2026-07-05T10:11:45Z"},{"alias_kind":"pith_short_16","alias_value":"35JWUCH5Y2FVRQLM","created_at":"2026-07-05T10:11:45Z"},{"alias_kind":"pith_short_8","alias_value":"35JWUCH5","created_at":"2026-07-05T10:11:45Z"}],"graph_snapshots":[{"event_id":"sha256:60251b1ee81cee06a06a8d91554cf5448ee41c72a877e0264426a9e6b323e3ca","target":"graph","created_at":"2026-07-05T10:11:45Z","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/2502.05950/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Concept-based learning enhances prediction accuracy and interpretability by leveraging high-level, human-understandable concepts. However, existing CBL frameworks do not address survival analysis tasks, which involve predicting event times in the presence of censored data -- a common scenario in fields like medicine and reliability analysis. To bridge this gap, we propose two novel models: SurvCBM (Survival Concept-based Bottleneck Model) and SurvRCM (Survival Regularized Concept-based Model), which integrate concept-based learning with survival analysis to handle censored event time data. The","authors_text":"Andrei V. Konstantinov, Lev V. Utkin, Natalya M. Verbova, Stanislav R. Kirpichenko","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-09T16:41:04Z","title":"Survival Concept-Based Learning Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05950","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":"sha256:5d489551525041d4afc50fbdd5ff877b1871044ea4074ecd22a1a147ed33078f","target":"record","created_at":"2026-07-05T10:11:45Z","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":"1d3431b08a4129ba5ccc260c27a376c7d76446f9399970ef727cc4c76042342d","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-09T16:41:04Z","title_canon_sha256":"315570c4394ca11a3ff742d56f98c4997aa68229200c4f546613b2b05cdcae50"},"schema_version":"1.0","source":{"id":"2502.05950","kind":"arxiv","version":1}},"canonical_sha256":"df536a08fdc68b58c16c9de0dc3ccec921c11b97ef631c11cafcead5de211985","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df536a08fdc68b58c16c9de0dc3ccec921c11b97ef631c11cafcead5de211985","first_computed_at":"2026-07-05T10:11:45.742958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:45.742958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OV6AKFOKMjIfsX6F8BN+YGCFFPJl4hb+T4IaNCRLY0HD4dwBAh7c/dVVutrxODDmyH2Ak3Jrx/+jkpHyc5nVBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:45.743368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05950","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d489551525041d4afc50fbdd5ff877b1871044ea4074ecd22a1a147ed33078f","sha256:60251b1ee81cee06a06a8d91554cf5448ee41c72a877e0264426a9e6b323e3ca"],"state_sha256":"3214f532bb41234e4f1fcb8b4ff68a41d13c27a7ce37b0dbac4e84da7d46fafa"}