{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:STAXTAVU4XVAWT3AKDI2RVVUQG","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":"fdc469aa352d7d316731a0f4b9a517b71772625028e630a4a5646f2e84a995b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-03-17T05:08:04Z","title_canon_sha256":"c013f0014cb42c0799b479c4b6c601e950495a6634d5b42143836fff5d0189a5"},"schema_version":"1.0","source":{"id":"2503.12824","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.12824","created_at":"2026-07-05T10:43:45Z"},{"alias_kind":"arxiv_version","alias_value":"2503.12824v2","created_at":"2026-07-05T10:43:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12824","created_at":"2026-07-05T10:43:45Z"},{"alias_kind":"pith_short_12","alias_value":"STAXTAVU4XVA","created_at":"2026-07-05T10:43:45Z"},{"alias_kind":"pith_short_16","alias_value":"STAXTAVU4XVAWT3A","created_at":"2026-07-05T10:43:45Z"},{"alias_kind":"pith_short_8","alias_value":"STAXTAVU","created_at":"2026-07-05T10:43:45Z"}],"graph_snapshots":[{"event_id":"sha256:fc12c65b50dca8888d38d96cc48cdab04bb82a04fc38b7610cf4d201642064f6","target":"graph","created_at":"2026-07-05T10:43:45Z","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/2503.12824/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Competing risk analysis accounts for multiple mutually exclusive events, improving risk estimation over traditional survival analysis. Despite methodological advancements, a comprehensive comparison of competing risk methods, especially in high-dimensional settings, remains limited. This study evaluates penalized regression (LASSO, SCAD, MCP), boosting (CoxBoost, CB), random forest (RF), and deep learning (DeepHit, DH) methods for competing risk analysis through extensive simulations, assessing variable selection, estimation accuracy, discrimination, and calibration under diverse data conditio","authors_text":"Nilotpal Sanyal, Paul M. Djangang, Summer S. Han","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-03-17T05:08:04Z","title":"Comparative Review of Modern Competing Risk Methods in High-dimensional Settings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12824","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":"sha256:4f67d60a77317b6fa6ce88b0f3c3c7c7086400ee4f4cbf4db15bc360801586b1","target":"record","created_at":"2026-07-05T10:43:45Z","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":"fdc469aa352d7d316731a0f4b9a517b71772625028e630a4a5646f2e84a995b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2025-03-17T05:08:04Z","title_canon_sha256":"c013f0014cb42c0799b479c4b6c601e950495a6634d5b42143836fff5d0189a5"},"schema_version":"1.0","source":{"id":"2503.12824","kind":"arxiv","version":2}},"canonical_sha256":"94c17982b4e5ea0b4f6050d1a8d6b48194c9d8ace07117e2afec12e8d745fd5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"94c17982b4e5ea0b4f6050d1a8d6b48194c9d8ace07117e2afec12e8d745fd5f","first_computed_at":"2026-07-05T10:43:45.067303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:43:45.067303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u9Qm3pw+5Dc7SF2hHGPlXX7a7isB2/0vi8wFSm0v+Iq/LzPfO88m5GvZHIIMp54jxHVb/OUTsuJ9lLmJOJRdDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:43:45.067779Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.12824","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f67d60a77317b6fa6ce88b0f3c3c7c7086400ee4f4cbf4db15bc360801586b1","sha256:fc12c65b50dca8888d38d96cc48cdab04bb82a04fc38b7610cf4d201642064f6"],"state_sha256":"e9da8b3ea558e1bc07a6d539ac368d951055d8cfc348e24eb64246a4a3b67d10"}