{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BVSDJUPFDQ3X7QDGRCFNJPN4BW","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":"93cbd00e0ad5b7f8bb687a217b47d957e84221acbf7aca58b7c475489b30279f","cross_cats_sorted":["cs.LG","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-05-19T13:53:14Z","title_canon_sha256":"6b315f0c8a1ec06001a9e3c86d5224c1ee0b116213180e30ad62e4d42325369c"},"schema_version":"1.0","source":{"id":"1705.06995","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.06995","created_at":"2026-05-18T00:28:55Z"},{"alias_kind":"arxiv_version","alias_value":"1705.06995v4","created_at":"2026-05-18T00:28:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.06995","created_at":"2026-05-18T00:28:55Z"},{"alias_kind":"pith_short_12","alias_value":"BVSDJUPFDQ3X","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BVSDJUPFDQ3X7QDG","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BVSDJUPF","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:4e07fa583fc367df40c13bdfeebae9af7c80faa9069a03295dbbd517fe587a5d","target":"graph","created_at":"2026-05-18T00:28:55Z","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"},"paper":{"abstract_excerpt":"Sequential change-point detection when the distribution parameters are unknown is a fundamental problem in statistics and machine learning. When the post-change parameters are unknown, we consider a set of detection procedures based on sequential likelihood ratios with non-anticipating estimators constructed using online convex optimization algorithms such as online mirror descent, which provides a more versatile approach to tackle complex situations where recursive maximum likelihood estimators cannot be found. When the underlying distributions belong to a exponential family and the estimator","authors_text":"Huan Xu, Liyan Xie, Yang Cao, Yao Xie","cross_cats":["cs.LG","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-05-19T13:53:14Z","title":"Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.06995","kind":"arxiv","version":4},"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":"sha256:140ce671fadee162bd0e39b3b615922e256029df84af5b39e376b9687010c224","target":"record","created_at":"2026-05-18T00:28:55Z","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":"93cbd00e0ad5b7f8bb687a217b47d957e84221acbf7aca58b7c475489b30279f","cross_cats_sorted":["cs.LG","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-05-19T13:53:14Z","title_canon_sha256":"6b315f0c8a1ec06001a9e3c86d5224c1ee0b116213180e30ad62e4d42325369c"},"schema_version":"1.0","source":{"id":"1705.06995","kind":"arxiv","version":4}},"canonical_sha256":"0d6434d1e51c377fc066888ad4bdbc0db2d2df2ffdb91939d20004aeb20ee2a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d6434d1e51c377fc066888ad4bdbc0db2d2df2ffdb91939d20004aeb20ee2a7","first_computed_at":"2026-05-18T00:28:55.699955Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:55.699955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OS3mDk29QspobauBuNyof4paf7hCCv/jB+2Mu/GfS9A2FBDd+nf2pvyoADXMMp5wbiBAAFrIiLrepFvBHbkGBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:55.700645Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.06995","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:140ce671fadee162bd0e39b3b615922e256029df84af5b39e376b9687010c224","sha256:4e07fa583fc367df40c13bdfeebae9af7c80faa9069a03295dbbd517fe587a5d"],"state_sha256":"1a1590ccc04f2e62957c99d1ef1a589fc29997ec02d6ff8ed4fe5e4fce5250ae"}