{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:JXMACE2XBYYPQU5IG3OUQARVDG","short_pith_number":"pith:JXMACE2X","schema_version":"1.0","canonical_sha256":"4dd80113570e30f853a836dd480235198d184725d966a9a438c68aa50f558535","source":{"kind":"arxiv","id":"1603.09000","version":3},"attestation_state":"computed","paper":{"title":"Online Rules for Control of False Discovery Rate and False Discovery Exceedance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.AP","stat.ME","stat.ML","stat.TH"],"primary_cat":"math.ST","authors_text":"Adel Javanmard, Andrea Montanari","submitted_at":"2016-03-29T23:41:51Z","abstract_excerpt":"Multiple hypothesis testing is a core problem in statistical inference and arises in almost every scientific field. Given a set of null hypotheses $\\mathcal{H}(n) = (H_1,\\dotsc, H_n)$, Benjamini and Hochberg introduced the false discovery rate (FDR), which is the expected proportion of false positives among rejected null hypotheses, and proposed a testing procedure that controls FDR below a pre-assigned significance level. Nowadays FDR is the criterion of choice for large scale multiple hypothesis testing. In this paper we consider the problem of controlling FDR in an \"online manner\". Concrete"},"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":"1603.09000","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2016-03-29T23:41:51Z","cross_cats_sorted":["cs.LG","stat.AP","stat.ME","stat.ML","stat.TH"],"title_canon_sha256":"ba9f8ee730faf4a8fbe848541c88f8498ec2ed7b6415284da6cb9bdb9bc2bd5e","abstract_canon_sha256":"be0433c4cda4b5fd018ea65360defb414476b0ba24d37a3d8051129ed631e5f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:46.813858Z","signature_b64":"wZMLcPqokfrIZbKIxOoDGe0ov6idaMFH0LHrElAUz1GYTVAHaAAwlzcdl4Cu/Z8dmvoOAyYZ/8Kg2PKhBF7fAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4dd80113570e30f853a836dd480235198d184725d966a9a438c68aa50f558535","last_reissued_at":"2026-05-18T00:40:46.813074Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:46.813074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Online Rules for Control of False Discovery Rate and False Discovery Exceedance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.AP","stat.ME","stat.ML","stat.TH"],"primary_cat":"math.ST","authors_text":"Adel Javanmard, Andrea Montanari","submitted_at":"2016-03-29T23:41:51Z","abstract_excerpt":"Multiple hypothesis testing is a core problem in statistical inference and arises in almost every scientific field. Given a set of null hypotheses $\\mathcal{H}(n) = (H_1,\\dotsc, H_n)$, Benjamini and Hochberg introduced the false discovery rate (FDR), which is the expected proportion of false positives among rejected null hypotheses, and proposed a testing procedure that controls FDR below a pre-assigned significance level. Nowadays FDR is the criterion of choice for large scale multiple hypothesis testing. In this paper we consider the problem of controlling FDR in an \"online manner\". Concrete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.09000","kind":"arxiv","version":3},"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":"1603.09000","created_at":"2026-05-18T00:40:46.813167+00:00"},{"alias_kind":"arxiv_version","alias_value":"1603.09000v3","created_at":"2026-05-18T00:40:46.813167+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.09000","created_at":"2026-05-18T00:40:46.813167+00:00"},{"alias_kind":"pith_short_12","alias_value":"JXMACE2XBYYP","created_at":"2026-05-18T12:30:25.849896+00:00"},{"alias_kind":"pith_short_16","alias_value":"JXMACE2XBYYPQU5I","created_at":"2026-05-18T12:30:25.849896+00:00"},{"alias_kind":"pith_short_8","alias_value":"JXMACE2X","created_at":"2026-05-18T12:30:25.849896+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/JXMACE2XBYYPQU5IG3OUQARVDG","json":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG.json","graph_json":"https://pith.science/api/pith-number/JXMACE2XBYYPQU5IG3OUQARVDG/graph.json","events_json":"https://pith.science/api/pith-number/JXMACE2XBYYPQU5IG3OUQARVDG/events.json","paper":"https://pith.science/paper/JXMACE2X"},"agent_actions":{"view_html":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG","download_json":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG.json","view_paper":"https://pith.science/paper/JXMACE2X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1603.09000&json=true","fetch_graph":"https://pith.science/api/pith-number/JXMACE2XBYYPQU5IG3OUQARVDG/graph.json","fetch_events":"https://pith.science/api/pith-number/JXMACE2XBYYPQU5IG3OUQARVDG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG/action/storage_attestation","attest_author":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG/action/author_attestation","sign_citation":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG/action/citation_signature","submit_replication":"https://pith.science/pith/JXMACE2XBYYPQU5IG3OUQARVDG/action/replication_record"}},"created_at":"2026-05-18T00:40:46.813167+00:00","updated_at":"2026-05-18T00:40:46.813167+00:00"}