{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:K2GP6CTT3NEAGVTUQPVAQO4ULP","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":"d6631b8f099dc465d1819dfce86e60ec7968bc7e32a40d7d1a7a18301af7e75a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-01-22T06:04:57Z","title_canon_sha256":"8e033d67c79844d2bfc57cce47fd7af4df4bbdeba7e08f74517d97f94e6a3b33"},"schema_version":"1.0","source":{"id":"2501.12667","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12667","created_at":"2026-07-05T10:03:56Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12667v1","created_at":"2026-07-05T10:03:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12667","created_at":"2026-07-05T10:03:56Z"},{"alias_kind":"pith_short_12","alias_value":"K2GP6CTT3NEA","created_at":"2026-07-05T10:03:56Z"},{"alias_kind":"pith_short_16","alias_value":"K2GP6CTT3NEAGVTU","created_at":"2026-07-05T10:03:56Z"},{"alias_kind":"pith_short_8","alias_value":"K2GP6CTT","created_at":"2026-07-05T10:03:56Z"}],"graph_snapshots":[{"event_id":"sha256:6c8b49b85b86a262c8f980710482347af09af4c41268a04b1cebc28033f85ae9","target":"graph","created_at":"2026-07-05T10:03:56Z","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/2501.12667/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sequential change-point detection plays a critical role in numerous real-world applications, where timely identification of distributional shifts can greatly mitigate adverse outcomes. Classical methods commonly rely on parametric density assumptions of pre- and post-change distributions, limiting their effectiveness for high-dimensional, complex data streams. This paper proposes a score-based CUSUM change-point detection, in which the score functions of the data distribution are estimated by injecting noise and applying denoising score matching. We consider both offline and online versions of","authors_text":"Liyan Xie, Shixiang Zhu, Wenbin Zhou, Zhigang Peng","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-01-22T06:04:57Z","title":"Sequential Change Point Detection via Denoising Score Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12667","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":"sha256:204005a640e6cda5bbf4e54cbd05a424d8286144fd1fc6ffa1ceb43f8ae0d918","target":"record","created_at":"2026-07-05T10:03:56Z","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":"d6631b8f099dc465d1819dfce86e60ec7968bc7e32a40d7d1a7a18301af7e75a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2025-01-22T06:04:57Z","title_canon_sha256":"8e033d67c79844d2bfc57cce47fd7af4df4bbdeba7e08f74517d97f94e6a3b33"},"schema_version":"1.0","source":{"id":"2501.12667","kind":"arxiv","version":1}},"canonical_sha256":"568cff0a73db4803567483ea083b945bfc7d03030efc5f1ee328fc9ec2d4d9c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"568cff0a73db4803567483ea083b945bfc7d03030efc5f1ee328fc9ec2d4d9c7","first_computed_at":"2026-07-05T10:03:56.765358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:56.765358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eXbtpzarCStduiNpjPYBJdQ7t68I6vSkTszkNCP5zPuOyVQRvMbRtDd08se2YzHNKK+VxiFYvgubpz5aIIyNCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:56.765856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12667","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:204005a640e6cda5bbf4e54cbd05a424d8286144fd1fc6ffa1ceb43f8ae0d918","sha256:6c8b49b85b86a262c8f980710482347af09af4c41268a04b1cebc28033f85ae9"],"state_sha256":"c81ed6af41692939bd77c8a0a3d225a600d62330cb486027beadddef03c34627"}