{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:TB6WYIJS244D3E24OB7276QEPQ","short_pith_number":"pith:TB6WYIJS","schema_version":"1.0","canonical_sha256":"987d6c2132d7383d935c707faffa047c2f3228d6bf72b07b6271d4b6793ec045","source":{"kind":"arxiv","id":"2412.04493","version":1},"attestation_state":"computed","paper":{"title":"Robust Quickest Change Detection in Multi-Stream Non-Stationary Processes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Hoda Bidkhori, Taposh Banerjee, Yingze Hou","submitted_at":"2024-11-27T17:57:49Z","abstract_excerpt":"The problem of robust quickest change detection (QCD) in non-stationary processes under a multi-stream setting is studied. In classical QCD theory, optimal solutions are developed to detect a sudden change in the distribution of stationary data. Most studies have focused on single-stream data. In non-stationary processes, the data distribution both before and after change varies with time and is not precisely known. The multi-dimension data even complicates such issues. It is shown that if the non-stationary family for each dimension or stream has a least favorable law (LFL) or distribution in"},"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":"2412.04493","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-11-27T17:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"1c3de3999c8f53979258e643253e9ddab67773c1856b63f8b2d2d755a12768ec","abstract_canon_sha256":"b544212b0e2facf2282953368bf0a372202d05d69dad3fb3d6c3b3cf4272dfbc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:18.499794Z","signature_b64":"uCfmb5kLAxwqiqHvXbVCy3z2u3uqnZ6/6HB10ebmer46/vcNNufccCtYhvag6/MLf5hezjGIbZuWSLSn/VMZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"987d6c2132d7383d935c707faffa047c2f3228d6bf72b07b6271d4b6793ec045","last_reissued_at":"2026-07-05T09:45:18.499343Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:18.499343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust Quickest Change Detection in Multi-Stream Non-Stationary Processes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Hoda Bidkhori, Taposh Banerjee, Yingze Hou","submitted_at":"2024-11-27T17:57:49Z","abstract_excerpt":"The problem of robust quickest change detection (QCD) in non-stationary processes under a multi-stream setting is studied. In classical QCD theory, optimal solutions are developed to detect a sudden change in the distribution of stationary data. Most studies have focused on single-stream data. In non-stationary processes, the data distribution both before and after change varies with time and is not precisely known. The multi-dimension data even complicates such issues. It is shown that if the non-stationary family for each dimension or stream has a least favorable law (LFL) or distribution in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04493","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.04493/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2412.04493","created_at":"2026-07-05T09:45:18.499402+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.04493v1","created_at":"2026-07-05T09:45:18.499402+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04493","created_at":"2026-07-05T09:45:18.499402+00:00"},{"alias_kind":"pith_short_12","alias_value":"TB6WYIJS244D","created_at":"2026-07-05T09:45:18.499402+00:00"},{"alias_kind":"pith_short_16","alias_value":"TB6WYIJS244D3E24","created_at":"2026-07-05T09:45:18.499402+00:00"},{"alias_kind":"pith_short_8","alias_value":"TB6WYIJS","created_at":"2026-07-05T09:45:18.499402+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.20207","citing_title":"Robust Quickest Change Detection with Sampling Control","ref_index":7,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ","json":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ.json","graph_json":"https://pith.science/api/pith-number/TB6WYIJS244D3E24OB7276QEPQ/graph.json","events_json":"https://pith.science/api/pith-number/TB6WYIJS244D3E24OB7276QEPQ/events.json","paper":"https://pith.science/paper/TB6WYIJS"},"agent_actions":{"view_html":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ","download_json":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ.json","view_paper":"https://pith.science/paper/TB6WYIJS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.04493&json=true","fetch_graph":"https://pith.science/api/pith-number/TB6WYIJS244D3E24OB7276QEPQ/graph.json","fetch_events":"https://pith.science/api/pith-number/TB6WYIJS244D3E24OB7276QEPQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ/action/storage_attestation","attest_author":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ/action/author_attestation","sign_citation":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ/action/citation_signature","submit_replication":"https://pith.science/pith/TB6WYIJS244D3E24OB7276QEPQ/action/replication_record"}},"created_at":"2026-07-05T09:45:18.499402+00:00","updated_at":"2026-07-05T09:45:18.499402+00:00"}