{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MQBQ3KXJAOPWNSY7UULM6ASERK","short_pith_number":"pith:MQBQ3KXJ","canonical_record":{"source":{"id":"2406.04095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-06-06T14:12:55Z","cross_cats_sorted":[],"title_canon_sha256":"a3ce486be028eb5a23fb773156f69d639e1c90611e8667a56d9961de1a4b6766","abstract_canon_sha256":"c81f50351b72c3e7307b1e6deaf504efe3c3bfd2b4d7b40c4e6f5248ab60df3b"},"schema_version":"1.0"},"canonical_sha256":"64030daae9039f66cb1fa516cf02448a9e3a3cc537b1a2add8f2582476c2b4d9","source":{"kind":"arxiv","id":"2406.04095","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04095","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04095v1","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04095","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"pith_short_12","alias_value":"MQBQ3KXJAOPW","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"pith_short_16","alias_value":"MQBQ3KXJAOPWNSY7","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"pith_short_8","alias_value":"MQBQ3KXJ","created_at":"2026-07-05T08:28:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MQBQ3KXJAOPWNSY7UULM6ASERK","target":"record","payload":{"canonical_record":{"source":{"id":"2406.04095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-06-06T14:12:55Z","cross_cats_sorted":[],"title_canon_sha256":"a3ce486be028eb5a23fb773156f69d639e1c90611e8667a56d9961de1a4b6766","abstract_canon_sha256":"c81f50351b72c3e7307b1e6deaf504efe3c3bfd2b4d7b40c4e6f5248ab60df3b"},"schema_version":"1.0"},"canonical_sha256":"64030daae9039f66cb1fa516cf02448a9e3a3cc537b1a2add8f2582476c2b4d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:20.664831Z","signature_b64":"azu0cHA9eh7Euy8YWRbi2VWoBMWzgIAdX1Gi0Q2xu4c3dZB0b04UVf6YJ6yGb7HusCXOuav2vkwOVG0Fd7eQCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64030daae9039f66cb1fa516cf02448a9e3a3cc537b1a2add8f2582476c2b4d9","last_reissued_at":"2026-07-05T08:28:20.664285Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:20.664285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.04095","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":"2026-07-05T08:28:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Bt2Eq6I9OrXStun/MBL05EUw07VaTGz2HThu6+3yoFKbZMyg7M6qli62AsLqwPfVeKj7sINRQDJDVtdTjz+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:24:28.870817Z"},"content_sha256":"1ddaf936158cbf98f8ce7402beda83a7d0813eb6cf190d3bd75f037c77f1cddb","schema_version":"1.0","event_id":"sha256:1ddaf936158cbf98f8ce7402beda83a7d0813eb6cf190d3bd75f037c77f1cddb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MQBQ3KXJAOPWNSY7UULM6ASERK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A likelihood-based sensitivity analysis for addressing publication bias in meta-analysis of diagnostic studies using exact likelihood","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Satoshi Hattori, Taojun Hu, Xiao-Hua Zhou, Yi Zhou","submitted_at":"2024-06-06T14:12:55Z","abstract_excerpt":"Publication bias (PB) poses a significant threat to meta-analysis, as studies yielding notable results are more likely to be published in scientific journals. Sensitivity analysis provides a flexible method to address PB and to examine the impact of unpublished studies. A selection model based on t-statistics to sensitivity analysis is proposed by Copas. This t-statistics selection model is interpretable and enables the modeling of biased publication sampling across studies, as indicated by the asymmetry in the funnel-plot. In meta-analysis of diagnostic studies, the summary receiver operating"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04095","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.04095/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:28:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"01A40xT10JYUG5wxPRHcF7eLBJkPB5SsX0DbUUL/S8eI/TGtlJzGRlY+daWoYe4G6ESs5NfDDFK1++FjfVelBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:24:28.871312Z"},"content_sha256":"239cad2bc224a18c694df33b383ba76c1f28da134be8058b46c289a82b126c50","schema_version":"1.0","event_id":"sha256:239cad2bc224a18c694df33b383ba76c1f28da134be8058b46c289a82b126c50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MQBQ3KXJAOPWNSY7UULM6ASERK/bundle.json","state_url":"https://pith.science/pith/MQBQ3KXJAOPWNSY7UULM6ASERK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MQBQ3KXJAOPWNSY7UULM6ASERK/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":"2026-08-22T11:24:28Z","links":{"resolver":"https://pith.science/pith/MQBQ3KXJAOPWNSY7UULM6ASERK","bundle":"https://pith.science/pith/MQBQ3KXJAOPWNSY7UULM6ASERK/bundle.json","state":"https://pith.science/pith/MQBQ3KXJAOPWNSY7UULM6ASERK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MQBQ3KXJAOPWNSY7UULM6ASERK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MQBQ3KXJAOPWNSY7UULM6ASERK","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":"c81f50351b72c3e7307b1e6deaf504efe3c3bfd2b4d7b40c4e6f5248ab60df3b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-06-06T14:12:55Z","title_canon_sha256":"a3ce486be028eb5a23fb773156f69d639e1c90611e8667a56d9961de1a4b6766"},"schema_version":"1.0","source":{"id":"2406.04095","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04095","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04095v1","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04095","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"pith_short_12","alias_value":"MQBQ3KXJAOPW","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"pith_short_16","alias_value":"MQBQ3KXJAOPWNSY7","created_at":"2026-07-05T08:28:20Z"},{"alias_kind":"pith_short_8","alias_value":"MQBQ3KXJ","created_at":"2026-07-05T08:28:20Z"}],"graph_snapshots":[{"event_id":"sha256:239cad2bc224a18c694df33b383ba76c1f28da134be8058b46c289a82b126c50","target":"graph","created_at":"2026-07-05T08:28:20Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2406.04095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Publication bias (PB) poses a significant threat to meta-analysis, as studies yielding notable results are more likely to be published in scientific journals. Sensitivity analysis provides a flexible method to address PB and to examine the impact of unpublished studies. A selection model based on t-statistics to sensitivity analysis is proposed by Copas. This t-statistics selection model is interpretable and enables the modeling of biased publication sampling across studies, as indicated by the asymmetry in the funnel-plot. In meta-analysis of diagnostic studies, the summary receiver operating","authors_text":"Satoshi Hattori, Taojun Hu, Xiao-Hua Zhou, Yi Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-06-06T14:12:55Z","title":"A likelihood-based sensitivity analysis for addressing publication bias in meta-analysis of diagnostic studies using exact likelihood"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04095","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":"sha256:1ddaf936158cbf98f8ce7402beda83a7d0813eb6cf190d3bd75f037c77f1cddb","target":"record","created_at":"2026-07-05T08:28:20Z","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":"c81f50351b72c3e7307b1e6deaf504efe3c3bfd2b4d7b40c4e6f5248ab60df3b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-06-06T14:12:55Z","title_canon_sha256":"a3ce486be028eb5a23fb773156f69d639e1c90611e8667a56d9961de1a4b6766"},"schema_version":"1.0","source":{"id":"2406.04095","kind":"arxiv","version":1}},"canonical_sha256":"64030daae9039f66cb1fa516cf02448a9e3a3cc537b1a2add8f2582476c2b4d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64030daae9039f66cb1fa516cf02448a9e3a3cc537b1a2add8f2582476c2b4d9","first_computed_at":"2026-07-05T08:28:20.664285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:20.664285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"azu0cHA9eh7Euy8YWRbi2VWoBMWzgIAdX1Gi0Q2xu4c3dZB0b04UVf6YJ6yGb7HusCXOuav2vkwOVG0Fd7eQCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:20.664831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.04095","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ddaf936158cbf98f8ce7402beda83a7d0813eb6cf190d3bd75f037c77f1cddb","sha256:239cad2bc224a18c694df33b383ba76c1f28da134be8058b46c289a82b126c50"],"state_sha256":"1e10336904cc8f284008497118020317772e7236688fabdf5bd14d235432493a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7rnh/7WCQrPSzKqU/YR4nKd+NndXdJF+LS8tScnPEOtiXnPTnyNmiEh9mpHmEl/fjjQSFoQla98KzP4I83o8Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T11:24:28.876654Z","bundle_sha256":"a9b769e1fa2926206d0567e3740d2fe0d9efa50a7f610f5aec290dfeddd6870c"}}