{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:FRMZZAMI33WEDPQQP5O3UGVHOP","short_pith_number":"pith:FRMZZAMI","schema_version":"1.0","canonical_sha256":"2c599c8188deec41be107f5dba1aa773da613e8b01eed9376298fb7616cf3cb0","source":{"kind":"arxiv","id":"1411.7324","version":1},"attestation_state":"computed","paper":{"title":"Universal Sequential Outlier Hypothesis Testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Sirin Nitinawarat, Venugopal V. Veeravalli, Yun Li","submitted_at":"2014-11-26T18:36:52Z","abstract_excerpt":"Universal outlier hypothesis testing is studied in a sequential setting. Multiple observation sequences are collected, a small subset of which are outliers. A sequence is considered an outlier if the observations in that sequence are generated by an \"outlier\" distribution, distinct from a common \"typical\" distribution governing the majority of the sequences. Apart from being distinct, the outlier and typical distributions can be arbitrarily close. The goal is to design a universal test to best discern all the outlier sequences. A universal test with the flavor of the repeated significance test"},"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":"1411.7324","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2014-11-26T18:36:52Z","cross_cats_sorted":["stat.TH"],"title_canon_sha256":"c750abbca24b477b181f42e48e6d57e42e8071f363d7d78d385ee3d9991b5caa","abstract_canon_sha256":"e5836d3eb2a7c760de2bae5e2673ef3ab55bf266aa7e5f21cf2978559d7e34db"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:44.738300Z","signature_b64":"VAhfITbXSKdMbDxxjID4mzRtVCyO6qiBYV9a62D0ye031OJzvpwbs9tVnmlcsk1frPgPn1j8eqtwBgUTGeGyCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c599c8188deec41be107f5dba1aa773da613e8b01eed9376298fb7616cf3cb0","last_reissued_at":"2026-05-18T02:32:44.737841Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:44.737841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Universal Sequential Outlier Hypothesis Testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Sirin Nitinawarat, Venugopal V. Veeravalli, Yun Li","submitted_at":"2014-11-26T18:36:52Z","abstract_excerpt":"Universal outlier hypothesis testing is studied in a sequential setting. Multiple observation sequences are collected, a small subset of which are outliers. A sequence is considered an outlier if the observations in that sequence are generated by an \"outlier\" distribution, distinct from a common \"typical\" distribution governing the majority of the sequences. Apart from being distinct, the outlier and typical distributions can be arbitrarily close. The goal is to design a universal test to best discern all the outlier sequences. A universal test with the flavor of the repeated significance test"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.7324","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":""},"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":"1411.7324","created_at":"2026-05-18T02:32:44.737923+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.7324v1","created_at":"2026-05-18T02:32:44.737923+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.7324","created_at":"2026-05-18T02:32:44.737923+00:00"},{"alias_kind":"pith_short_12","alias_value":"FRMZZAMI33WE","created_at":"2026-05-18T12:28:28.263976+00:00"},{"alias_kind":"pith_short_16","alias_value":"FRMZZAMI33WEDPQQ","created_at":"2026-05-18T12:28:28.263976+00:00"},{"alias_kind":"pith_short_8","alias_value":"FRMZZAMI","created_at":"2026-05-18T12:28:28.263976+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/FRMZZAMI33WEDPQQP5O3UGVHOP","json":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP.json","graph_json":"https://pith.science/api/pith-number/FRMZZAMI33WEDPQQP5O3UGVHOP/graph.json","events_json":"https://pith.science/api/pith-number/FRMZZAMI33WEDPQQP5O3UGVHOP/events.json","paper":"https://pith.science/paper/FRMZZAMI"},"agent_actions":{"view_html":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP","download_json":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP.json","view_paper":"https://pith.science/paper/FRMZZAMI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.7324&json=true","fetch_graph":"https://pith.science/api/pith-number/FRMZZAMI33WEDPQQP5O3UGVHOP/graph.json","fetch_events":"https://pith.science/api/pith-number/FRMZZAMI33WEDPQQP5O3UGVHOP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP/action/storage_attestation","attest_author":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP/action/author_attestation","sign_citation":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP/action/citation_signature","submit_replication":"https://pith.science/pith/FRMZZAMI33WEDPQQP5O3UGVHOP/action/replication_record"}},"created_at":"2026-05-18T02:32:44.737923+00:00","updated_at":"2026-05-18T02:32:44.737923+00:00"}