{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:TQEXXDQVIC7EGYHSBZGU7W5SIQ","short_pith_number":"pith:TQEXXDQV","canonical_record":{"source":{"id":"1412.0645","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-12-01T20:54:01Z","cross_cats_sorted":[],"title_canon_sha256":"fa88e9d8d2d0695e5ab0438b08fabb84b6776a8b3a8860c68cf50eb99b3ce567","abstract_canon_sha256":"6e2ec8db9969d6f2c329a909d4073a485061863d0ac3041dd6df6dc5b8dfaacc"},"schema_version":"1.0"},"canonical_sha256":"9c097b8e1540be4360f20e4d4fdbb2443c1d847d1a7272a6e91a2748e6afa7f6","source":{"kind":"arxiv","id":"1412.0645","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.0645","created_at":"2026-05-18T00:51:01Z"},{"alias_kind":"arxiv_version","alias_value":"1412.0645v2","created_at":"2026-05-18T00:51:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.0645","created_at":"2026-05-18T00:51:01Z"},{"alias_kind":"pith_short_12","alias_value":"TQEXXDQVIC7E","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQEXXDQVIC7EGYHS","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQEXXDQV","created_at":"2026-05-18T12:28:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:TQEXXDQVIC7EGYHSBZGU7W5SIQ","target":"record","payload":{"canonical_record":{"source":{"id":"1412.0645","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-12-01T20:54:01Z","cross_cats_sorted":[],"title_canon_sha256":"fa88e9d8d2d0695e5ab0438b08fabb84b6776a8b3a8860c68cf50eb99b3ce567","abstract_canon_sha256":"6e2ec8db9969d6f2c329a909d4073a485061863d0ac3041dd6df6dc5b8dfaacc"},"schema_version":"1.0"},"canonical_sha256":"9c097b8e1540be4360f20e4d4fdbb2443c1d847d1a7272a6e91a2748e6afa7f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:01.662691Z","signature_b64":"TTaDtoa2PRZB4pnAm32N2Xo75dHkSJVfJWaXeF3niZm2GhpH/bV0yGBl9XxE0sq95hHJ5NCNjKXn+xSK8+SWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c097b8e1540be4360f20e4d4fdbb2443c1d847d1a7272a6e91a2748e6afa7f6","last_reissued_at":"2026-05-18T00:51:01.662101Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:01.662101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1412.0645","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:51:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gzv1FRGL+3/UigdNXiuHhJBxNdE7tDptmb37Qt9LfDVLmZ3hpbnb0dsuyvTj50OOAz60dFYiJCPzVbt0wQshDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T17:51:08.310568Z"},"content_sha256":"5ec1ad38020559865f1a0008b02eb5a3d0b1f26861097d71de3403d6da8638e7","schema_version":"1.0","event_id":"sha256:5ec1ad38020559865f1a0008b02eb5a3d0b1f26861097d71de3403d6da8638e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:TQEXXDQVIC7EGYHSBZGU7W5SIQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive False Discovery Rate Control for Heterogeneous Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Joshua D. Habiger","submitted_at":"2014-12-01T20:54:01Z","abstract_excerpt":"Efforts to develop more efficient multiple hypothesis testing procedures for false discovery rate (FDR) control have focused on incorporating an estimate of the proportion of true null hypotheses (such procedures are called adaptive) or exploiting heterogeneity across tests via some optimal weighting scheme. This paper combines these approaches using a weighted adaptive multiple decision function (WAMDF) framework. Optimal weights for a flexible random effects model are derived and a WAMDF that controls the FDR for arbitrary weighting schemes when test statistics are independent under the null"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.0645","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:51:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rakiYFjmAOgrTddeeE4gOOO7I2QQyTT2Z+5Beu9oPjVlCqdQtC8s7uljeKo6h659K4+rtuAsmDhbkNUsWXJeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T17:51:08.310999Z"},"content_sha256":"b3d37af72a9d434ef0c1e179b9fe7209134b212b3c14d8ba837b1945fb9000da","schema_version":"1.0","event_id":"sha256:b3d37af72a9d434ef0c1e179b9fe7209134b212b3c14d8ba837b1945fb9000da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ/bundle.json","state_url":"https://pith.science/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-05T17:51:08Z","links":{"resolver":"https://pith.science/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ","bundle":"https://pith.science/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ/bundle.json","state":"https://pith.science/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TQEXXDQVIC7EGYHSBZGU7W5SIQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:TQEXXDQVIC7EGYHSBZGU7W5SIQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"6e2ec8db9969d6f2c329a909d4073a485061863d0ac3041dd6df6dc5b8dfaacc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-12-01T20:54:01Z","title_canon_sha256":"fa88e9d8d2d0695e5ab0438b08fabb84b6776a8b3a8860c68cf50eb99b3ce567"},"schema_version":"1.0","source":{"id":"1412.0645","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.0645","created_at":"2026-05-18T00:51:01Z"},{"alias_kind":"arxiv_version","alias_value":"1412.0645v2","created_at":"2026-05-18T00:51:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.0645","created_at":"2026-05-18T00:51:01Z"},{"alias_kind":"pith_short_12","alias_value":"TQEXXDQVIC7E","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQEXXDQVIC7EGYHS","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQEXXDQV","created_at":"2026-05-18T12:28:49Z"}],"graph_snapshots":[{"event_id":"sha256:b3d37af72a9d434ef0c1e179b9fe7209134b212b3c14d8ba837b1945fb9000da","target":"graph","created_at":"2026-05-18T00:51:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Efforts to develop more efficient multiple hypothesis testing procedures for false discovery rate (FDR) control have focused on incorporating an estimate of the proportion of true null hypotheses (such procedures are called adaptive) or exploiting heterogeneity across tests via some optimal weighting scheme. This paper combines these approaches using a weighted adaptive multiple decision function (WAMDF) framework. Optimal weights for a flexible random effects model are derived and a WAMDF that controls the FDR for arbitrary weighting schemes when test statistics are independent under the null","authors_text":"Joshua D. Habiger","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-12-01T20:54:01Z","title":"Adaptive False Discovery Rate Control for Heterogeneous Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.0645","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:5ec1ad38020559865f1a0008b02eb5a3d0b1f26861097d71de3403d6da8638e7","target":"record","created_at":"2026-05-18T00:51:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"6e2ec8db9969d6f2c329a909d4073a485061863d0ac3041dd6df6dc5b8dfaacc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-12-01T20:54:01Z","title_canon_sha256":"fa88e9d8d2d0695e5ab0438b08fabb84b6776a8b3a8860c68cf50eb99b3ce567"},"schema_version":"1.0","source":{"id":"1412.0645","kind":"arxiv","version":2}},"canonical_sha256":"9c097b8e1540be4360f20e4d4fdbb2443c1d847d1a7272a6e91a2748e6afa7f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c097b8e1540be4360f20e4d4fdbb2443c1d847d1a7272a6e91a2748e6afa7f6","first_computed_at":"2026-05-18T00:51:01.662101Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:01.662101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TTaDtoa2PRZB4pnAm32N2Xo75dHkSJVfJWaXeF3niZm2GhpH/bV0yGBl9XxE0sq95hHJ5NCNjKXn+xSK8+SWCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:01.662691Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.0645","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ec1ad38020559865f1a0008b02eb5a3d0b1f26861097d71de3403d6da8638e7","sha256:b3d37af72a9d434ef0c1e179b9fe7209134b212b3c14d8ba837b1945fb9000da"],"state_sha256":"a37900804da67655c951e13bc4176ee05b8d53647dcd334271318241624453ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t1DhBxMnjRc5G8zGWjA8eOwMAjdle/1iaBpGgISRC8LP4aOi9HGAh9QQSXxYaM1UxwJG7fBJoQh0kBbai7q3Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T17:51:08.314489Z","bundle_sha256":"26e4d47e82b3a384d908252ce40c672c8856924be311378d401fb13bce40b3d0"}}