{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ETYWTK7TLPEKGKIR6VRXMNUJ2C","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":"5c808c845389b6dd5d831392ef0e95c54757559a143b8a56f7f090b8db788091","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-26T12:55:50Z","title_canon_sha256":"4e043dede1f328e5d3c52fe8a355734ef1a35a43482c00473f063610ae8a0364"},"schema_version":"1.0","source":{"id":"2411.17394","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17394","created_at":"2026-07-05T09:40:46Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17394v1","created_at":"2026-07-05T09:40:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17394","created_at":"2026-07-05T09:40:46Z"},{"alias_kind":"pith_short_12","alias_value":"ETYWTK7TLPEK","created_at":"2026-07-05T09:40:46Z"},{"alias_kind":"pith_short_16","alias_value":"ETYWTK7TLPEKGKIR","created_at":"2026-07-05T09:40:46Z"},{"alias_kind":"pith_short_8","alias_value":"ETYWTK7T","created_at":"2026-07-05T09:40:46Z"}],"graph_snapshots":[{"event_id":"sha256:3549a4e15df4bde33447b7fe4d9af8ddacc69bb66aaeef01271d0b6669df18d9","target":"graph","created_at":"2026-07-05T09:40:46Z","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/2411.17394/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In multi-state models based on high-dimensional data, effective modeling strategies are required to determine an optimal, ideally parsimonious model. In particular, linking covariate effects across transitions is needed to conduct joint variable selection. A useful technique to reduce model complexity is to address homogeneous covariate effects for distinct transitions. We integrate this approach to data-driven variable selection by extended regularization methods within multi-state model building. We propose the fused sparse-group lasso (FSGL) penalized Cox-type regression in the framework of","authors_text":"Annette Kopp-Schneider, Axel Benner, Hein Putter, Jelle J. Goeman, Kaya Miah","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-26T12:55:50Z","title":"Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17394","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":"sha256:6c6ce9b3933d1395dc9fb050afee11d467d7a318095088e9fff62887c0766557","target":"record","created_at":"2026-07-05T09:40:46Z","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":"5c808c845389b6dd5d831392ef0e95c54757559a143b8a56f7f090b8db788091","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-26T12:55:50Z","title_canon_sha256":"4e043dede1f328e5d3c52fe8a355734ef1a35a43482c00473f063610ae8a0364"},"schema_version":"1.0","source":{"id":"2411.17394","kind":"arxiv","version":1}},"canonical_sha256":"24f169abf35bc8a32911f563763689d082a6fae2f2821b061cd940b252130d1a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24f169abf35bc8a32911f563763689d082a6fae2f2821b061cd940b252130d1a","first_computed_at":"2026-07-05T09:40:46.625127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:46.625127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uUP0wjKzKomRbZjoXFTg8xxoi1bcYl39qS8GZkbH4Pl3CPfY2I00GOOTFteafoh2BXxek0OQHaemxO/lf/cDCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:46.625687Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.17394","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c6ce9b3933d1395dc9fb050afee11d467d7a318095088e9fff62887c0766557","sha256:3549a4e15df4bde33447b7fe4d9af8ddacc69bb66aaeef01271d0b6669df18d9"],"state_sha256":"e75df796514066bf5df85282de31dcc3810b7bf4dad5cc417ce63a05e2356162"}