{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:3TYI5ITS3NY6UZDC7PKDGDORKF","short_pith_number":"pith:3TYI5ITS","schema_version":"1.0","canonical_sha256":"dcf08ea272db71ea6462fbd4330dd1516bbfd34344bb43aeea9e669f99193ade","source":{"kind":"arxiv","id":"1711.02186","version":2},"attestation_state":"computed","paper":{"title":"Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT","stat.TH"],"primary_cat":"math.ST","authors_text":"Georgios Fellouris, Shaofeng Zou, Venugopal V. Veeravalli","submitted_at":"2017-11-06T21:44:22Z","abstract_excerpt":"The problem of quickest change detection (QCD) under transient dynamics is studied, where the change from the initial distribution to the final persistent distribution does not happen instantaneously, but after a series of transient phases. The observations within the different phases are generated by different distributions. The objective is to detect the change as quickly as possible, while controlling the average run length (ARL) to false alarm, when the durations of the transient phases are completely unknown. Two algorithms are considered, the dynamic Cumulative Sum (CuSum) algorithm, pro"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1711.02186","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2017-11-06T21:44:22Z","cross_cats_sorted":["cs.IT","math.IT","stat.TH"],"title_canon_sha256":"9e36e911dd6b14475ce2f9c1fb38e839f58d2d6ef91f1ceb5f6609085af10ea4","abstract_canon_sha256":"295ecd309ab25ae99e09bab29a73f2481d1a064e315cc1fd36c65b08d5d9f0f5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:31.122765Z","signature_b64":"KMsAFNFujhbsSFX7iEyQymwEgrtX09Bq5VZdcpEhovsZtkfrjj/87M4puHMZYtppjh3QwmT/4eHTE5T+hyFiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dcf08ea272db71ea6462fbd4330dd1516bbfd34344bb43aeea9e669f99193ade","last_reissued_at":"2026-05-17T23:58:31.122118Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:31.122118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT","stat.TH"],"primary_cat":"math.ST","authors_text":"Georgios Fellouris, Shaofeng Zou, Venugopal V. Veeravalli","submitted_at":"2017-11-06T21:44:22Z","abstract_excerpt":"The problem of quickest change detection (QCD) under transient dynamics is studied, where the change from the initial distribution to the final persistent distribution does not happen instantaneously, but after a series of transient phases. The observations within the different phases are generated by different distributions. The objective is to detect the change as quickly as possible, while controlling the average run length (ARL) to false alarm, when the durations of the transient phases are completely unknown. Two algorithms are considered, the dynamic Cumulative Sum (CuSum) algorithm, pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.02186","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1711.02186","created_at":"2026-05-17T23:58:31.122220+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.02186v2","created_at":"2026-05-17T23:58:31.122220+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.02186","created_at":"2026-05-17T23:58:31.122220+00:00"},{"alias_kind":"pith_short_12","alias_value":"3TYI5ITS3NY6","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_16","alias_value":"3TYI5ITS3NY6UZDC","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_8","alias_value":"3TYI5ITS","created_at":"2026-05-18T12:30:58.224056+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF","json":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF.json","graph_json":"https://pith.science/api/pith-number/3TYI5ITS3NY6UZDC7PKDGDORKF/graph.json","events_json":"https://pith.science/api/pith-number/3TYI5ITS3NY6UZDC7PKDGDORKF/events.json","paper":"https://pith.science/paper/3TYI5ITS"},"agent_actions":{"view_html":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF","download_json":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF.json","view_paper":"https://pith.science/paper/3TYI5ITS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.02186&json=true","fetch_graph":"https://pith.science/api/pith-number/3TYI5ITS3NY6UZDC7PKDGDORKF/graph.json","fetch_events":"https://pith.science/api/pith-number/3TYI5ITS3NY6UZDC7PKDGDORKF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF/action/storage_attestation","attest_author":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF/action/author_attestation","sign_citation":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF/action/citation_signature","submit_replication":"https://pith.science/pith/3TYI5ITS3NY6UZDC7PKDGDORKF/action/replication_record"}},"created_at":"2026-05-17T23:58:31.122220+00:00","updated_at":"2026-05-17T23:58:31.122220+00:00"}