{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:E3EKZZSWMH7CPTL3OESAMXV5NR","short_pith_number":"pith:E3EKZZSW","schema_version":"1.0","canonical_sha256":"26c8ace65661fe27cd7b7124065ebd6c5439d6f7fdfeae3e94a812c20bb222bb","source":{"kind":"arxiv","id":"1406.7117","version":1},"attestation_state":"computed","paper":{"title":"A Complete Review of Controlling the FDR in a Multiple Comparison Problem Framework -- The Benjamini-Hochberg Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Anish Acharya","submitted_at":"2014-06-27T09:03:33Z","abstract_excerpt":"This paper is a review of the popular Benjamini Hochberg Method and other related useful methods of Multiple Hypothesis testing. This is written with the purpose of serving a short but complete easy to understand review of the main article with proper background. The paper titled 'Controlling the False Discovery Rate-a practical and powerful Approach to multiple Testing' by benjamini et. al.[1] proposes a new framework of controlling the False Discovery Rate in a Multiple Hypothesis testing problem. It has been claimed that the procedure proposed in the paper results in a substantial gain in p"},"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":"1406.7117","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-06-27T09:03:33Z","cross_cats_sorted":[],"title_canon_sha256":"7bac1b71b0035af44ff60fbda870900b043dce0b44b970dd9d67b3c0e2d68fa9","abstract_canon_sha256":"d0b602ab155864e7354b0ce580bf2eeadf107137ee3a10520ae4f456ad89eb7d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:48:54.073869Z","signature_b64":"ZVk+gupeCwY/YEpgBuQ2Tar/zJjc9SyXctE3muqSl2vQLUY8mApZlgk8jOwECb1vCVDrEDFOhh3fBjFd14BEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26c8ace65661fe27cd7b7124065ebd6c5439d6f7fdfeae3e94a812c20bb222bb","last_reissued_at":"2026-05-18T02:48:54.073283Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:48:54.073283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Complete Review of Controlling the FDR in a Multiple Comparison Problem Framework -- The Benjamini-Hochberg Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Anish Acharya","submitted_at":"2014-06-27T09:03:33Z","abstract_excerpt":"This paper is a review of the popular Benjamini Hochberg Method and other related useful methods of Multiple Hypothesis testing. This is written with the purpose of serving a short but complete easy to understand review of the main article with proper background. The paper titled 'Controlling the False Discovery Rate-a practical and powerful Approach to multiple Testing' by benjamini et. al.[1] proposes a new framework of controlling the False Discovery Rate in a Multiple Hypothesis testing problem. It has been claimed that the procedure proposed in the paper results in a substantial gain in p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.7117","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":"1406.7117","created_at":"2026-05-18T02:48:54.073368+00:00"},{"alias_kind":"arxiv_version","alias_value":"1406.7117v1","created_at":"2026-05-18T02:48:54.073368+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.7117","created_at":"2026-05-18T02:48:54.073368+00:00"},{"alias_kind":"pith_short_12","alias_value":"E3EKZZSWMH7C","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"E3EKZZSWMH7CPTL3","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"E3EKZZSW","created_at":"2026-05-18T12:28:25.294606+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/E3EKZZSWMH7CPTL3OESAMXV5NR","json":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR.json","graph_json":"https://pith.science/api/pith-number/E3EKZZSWMH7CPTL3OESAMXV5NR/graph.json","events_json":"https://pith.science/api/pith-number/E3EKZZSWMH7CPTL3OESAMXV5NR/events.json","paper":"https://pith.science/paper/E3EKZZSW"},"agent_actions":{"view_html":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR","download_json":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR.json","view_paper":"https://pith.science/paper/E3EKZZSW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1406.7117&json=true","fetch_graph":"https://pith.science/api/pith-number/E3EKZZSWMH7CPTL3OESAMXV5NR/graph.json","fetch_events":"https://pith.science/api/pith-number/E3EKZZSWMH7CPTL3OESAMXV5NR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR/action/storage_attestation","attest_author":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR/action/author_attestation","sign_citation":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR/action/citation_signature","submit_replication":"https://pith.science/pith/E3EKZZSWMH7CPTL3OESAMXV5NR/action/replication_record"}},"created_at":"2026-05-18T02:48:54.073368+00:00","updated_at":"2026-05-18T02:48:54.073368+00:00"}