{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4JF6TQVYEKQJ656UZKPX42VR3Y","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":"b35ab2b7ba8849ac090220591f7c4c80f19e65092c9c80818915af3a20add114","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-24T03:07:56Z","title_canon_sha256":"3d48f4c9338817cbf724f2010b157657229be51d6029e31779c991ed60f596b9"},"schema_version":"1.0","source":{"id":"2605.24838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24838","created_at":"2026-05-26T01:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24838v1","created_at":"2026-05-26T01:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24838","created_at":"2026-05-26T01:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"4JF6TQVYEKQJ","created_at":"2026-05-26T01:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"4JF6TQVYEKQJ656U","created_at":"2026-05-26T01:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"4JF6TQVY","created_at":"2026-05-26T01:04:01Z"}],"graph_snapshots":[{"event_id":"sha256:0b2fb75493441cda51d75f9f05293cc0dbbea72acd7cf01d232be93a12003e4c","target":"graph","created_at":"2026-05-26T01:04:01Z","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/2605.24838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the problem of detecting multiple change points in the mean vectors of an independent sequence of high-dimensional observations. We propose a family of ridge-regularized CUSUM statistics built upon the adaptable ridge-regularized Hotelling's T2 test of Li et al. (Ann. Statist. 48 (2020) 1815-1847). The proposed tests are designed for dense alternatives in the high-dimensional regime where the dimension is comparable to the sample size. By introducing ridge regularization, the procedure achieves a stable form of sample covariance normalization and attains adaptability with respect to t","authors_text":"Haoran Li, Haotian Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-24T03:07:56Z","title":"Adaptable High-Dimensional Change Point Detection via Ridge Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24838","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":"sha256:971969b2f0b79b77d8c425ae3df2206fd42cdff1e56386b773029d1d2c9a365f","target":"record","created_at":"2026-05-26T01:04:01Z","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":"b35ab2b7ba8849ac090220591f7c4c80f19e65092c9c80818915af3a20add114","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-24T03:07:56Z","title_canon_sha256":"3d48f4c9338817cbf724f2010b157657229be51d6029e31779c991ed60f596b9"},"schema_version":"1.0","source":{"id":"2605.24838","kind":"arxiv","version":1}},"canonical_sha256":"e24be9c2b822a09f77d4ca9f7e6ab1de25ccf70a958f48216689889d88ae84c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e24be9c2b822a09f77d4ca9f7e6ab1de25ccf70a958f48216689889d88ae84c5","first_computed_at":"2026-05-26T01:04:01.162352Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:04:01.162352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iye+9VeyyHb9m9OoXgWkH6vgOK9KYAyP4bKqedh+0Oxn096LbNzblsQjVbpR3rzPZv97VHWs7fmGZXv0B9FmCg==","signature_status":"signed_v1","signed_at":"2026-05-26T01:04:01.163076Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:971969b2f0b79b77d8c425ae3df2206fd42cdff1e56386b773029d1d2c9a365f","sha256:0b2fb75493441cda51d75f9f05293cc0dbbea72acd7cf01d232be93a12003e4c"],"state_sha256":"91abaa7be23d7a13ce44c474a6151dc5a77a028a616aaecd71b418e298d87b3e"}