{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:FL472XSX7FUO5NXQWHFSEJNCRL","short_pith_number":"pith:FL472XSX","canonical_record":{"source":{"id":"1708.05084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-08-16T21:02:22Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"e3a1a5ba5b0c9222d59ae23faa73d88fea17ff445f45c02d4a87ecf5e86aefe5","abstract_canon_sha256":"6bfc3515d1fbe9314a1829e78ea443e3c09c1d0c7426cc232a5dde314f8af44c"},"schema_version":"1.0"},"canonical_sha256":"2af9fd5e57f968eeb6f0b1cb2225a28ada2efd27cbe9f23b3aa47d0f4a85791b","source":{"kind":"arxiv","id":"1708.05084","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.05084","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"1708.05084v1","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.05084","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"FL472XSX7FUO","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FL472XSX7FUO5NXQ","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FL472XSX","created_at":"2026-05-18T12:31:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:FL472XSX7FUO5NXQWHFSEJNCRL","target":"record","payload":{"canonical_record":{"source":{"id":"1708.05084","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-08-16T21:02:22Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"e3a1a5ba5b0c9222d59ae23faa73d88fea17ff445f45c02d4a87ecf5e86aefe5","abstract_canon_sha256":"6bfc3515d1fbe9314a1829e78ea443e3c09c1d0c7426cc232a5dde314f8af44c"},"schema_version":"1.0"},"canonical_sha256":"2af9fd5e57f968eeb6f0b1cb2225a28ada2efd27cbe9f23b3aa47d0f4a85791b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:37:53.891200Z","signature_b64":"aU4Vp9d4Xub5HN0gRkEe+zeQIW6iq66/JOz0GXs5OVj7UHKBXJ/bjFtgmTVtA54kSmXRYzSoRxodA2SeeH9YCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2af9fd5e57f968eeb6f0b1cb2225a28ada2efd27cbe9f23b3aa47d0f4a85791b","last_reissued_at":"2026-05-18T00:37:53.890802Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:37:53.890802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.05084","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SthqM4n5EwI78c5zlJH9uLMAaGcV8f/qmJJa0/qGOmsNTWuSQIyqPD93+I+aiHlV059nmOp8qpGkmmDY3XU0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T17:17:37.503702Z"},"content_sha256":"5c299aeaae02d67efa033866362f7486a9f13e0a607e14bda8245ed30661dc11","schema_version":"1.0","event_id":"sha256:5c299aeaae02d67efa033866362f7486a9f13e0a607e14bda8245ed30661dc11"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:FL472XSX7FUO5NXQWHFSEJNCRL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"P-value evaluation, variability index and biomarker categorization for adaptively weighted Fisher's meta-analysis method in omics applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"George Tseng, Shaowu Tang, Yongseok Park, Zhiguang Huo","submitted_at":"2017-08-16T21:02:22Z","abstract_excerpt":"Meta-analysis methods have been widely used to combine results from multiple clinical or genomic studies to increase statistical power and ensure robust and accurate conclusion. Adaptively weighted Fisher's method (AW-Fisher) is an effective approach to combine p-values from $K$ independent studies and to provide better biological interpretation by characterizing which studies contribute to meta-analysis. Currently, AW-Fisher suffers from lack of fast, accurate p-value computation and variability estimate of AW weights. When the number of studies $K$ is large, the $3^K - 1$ possible differenti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.05084","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"51X9N3kHcTwLoEPjqjYkTTRRUS+Vk+AvoawAHNppLvXMOTn6R/OwWieLfBr5uyf21SUcO8TxMGOkMKzYnkMHBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T17:17:37.504054Z"},"content_sha256":"d26062aade600b71afa02576d64df5690ce7354130c6efb8c22202adbaf0d226","schema_version":"1.0","event_id":"sha256:d26062aade600b71afa02576d64df5690ce7354130c6efb8c22202adbaf0d226"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FL472XSX7FUO5NXQWHFSEJNCRL/bundle.json","state_url":"https://pith.science/pith/FL472XSX7FUO5NXQWHFSEJNCRL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FL472XSX7FUO5NXQWHFSEJNCRL/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":"2026-06-24T17:17:37Z","links":{"resolver":"https://pith.science/pith/FL472XSX7FUO5NXQWHFSEJNCRL","bundle":"https://pith.science/pith/FL472XSX7FUO5NXQWHFSEJNCRL/bundle.json","state":"https://pith.science/pith/FL472XSX7FUO5NXQWHFSEJNCRL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FL472XSX7FUO5NXQWHFSEJNCRL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:FL472XSX7FUO5NXQWHFSEJNCRL","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":"6bfc3515d1fbe9314a1829e78ea443e3c09c1d0c7426cc232a5dde314f8af44c","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-08-16T21:02:22Z","title_canon_sha256":"e3a1a5ba5b0c9222d59ae23faa73d88fea17ff445f45c02d4a87ecf5e86aefe5"},"schema_version":"1.0","source":{"id":"1708.05084","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.05084","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"1708.05084v1","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.05084","created_at":"2026-05-18T00:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"FL472XSX7FUO","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FL472XSX7FUO5NXQ","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FL472XSX","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:d26062aade600b71afa02576d64df5690ce7354130c6efb8c22202adbaf0d226","target":"graph","created_at":"2026-05-18T00:37:53Z","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":"Meta-analysis methods have been widely used to combine results from multiple clinical or genomic studies to increase statistical power and ensure robust and accurate conclusion. Adaptively weighted Fisher's method (AW-Fisher) is an effective approach to combine p-values from $K$ independent studies and to provide better biological interpretation by characterizing which studies contribute to meta-analysis. Currently, AW-Fisher suffers from lack of fast, accurate p-value computation and variability estimate of AW weights. When the number of studies $K$ is large, the $3^K - 1$ possible differenti","authors_text":"George Tseng, Shaowu Tang, Yongseok Park, Zhiguang Huo","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-08-16T21:02:22Z","title":"P-value evaluation, variability index and biomarker categorization for adaptively weighted Fisher's meta-analysis method in omics applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.05084","kind":"arxiv","version":1},"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":"sha256:5c299aeaae02d67efa033866362f7486a9f13e0a607e14bda8245ed30661dc11","target":"record","created_at":"2026-05-18T00:37:53Z","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":"6bfc3515d1fbe9314a1829e78ea443e3c09c1d0c7426cc232a5dde314f8af44c","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-08-16T21:02:22Z","title_canon_sha256":"e3a1a5ba5b0c9222d59ae23faa73d88fea17ff445f45c02d4a87ecf5e86aefe5"},"schema_version":"1.0","source":{"id":"1708.05084","kind":"arxiv","version":1}},"canonical_sha256":"2af9fd5e57f968eeb6f0b1cb2225a28ada2efd27cbe9f23b3aa47d0f4a85791b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2af9fd5e57f968eeb6f0b1cb2225a28ada2efd27cbe9f23b3aa47d0f4a85791b","first_computed_at":"2026-05-18T00:37:53.890802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:37:53.890802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aU4Vp9d4Xub5HN0gRkEe+zeQIW6iq66/JOz0GXs5OVj7UHKBXJ/bjFtgmTVtA54kSmXRYzSoRxodA2SeeH9YCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:37:53.891200Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.05084","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c299aeaae02d67efa033866362f7486a9f13e0a607e14bda8245ed30661dc11","sha256:d26062aade600b71afa02576d64df5690ce7354130c6efb8c22202adbaf0d226"],"state_sha256":"a02ded75cd58888c0dc09c1f1b0917422442a4d64376172c23dd222f7e39af7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WDf/+klpqaLg1QA9r7pToffw02Xvgr1+pIXK6iB7mtPaq9b45gAvEA67Q7DNsSq95I58nyQJ3A7ILEG5bBS9BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T17:17:37.506079Z","bundle_sha256":"ce0f116b795d29fdadc1e1cc06bc1a27ac0d8237c46ef369a32c5e3a2985c092"}}