{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:RDLF2IFBOL3SBS3VTVZ3LGSFVR","short_pith_number":"pith:RDLF2IFB","canonical_record":{"source":{"id":"1904.04484","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-09T06:36:49Z","cross_cats_sorted":[],"title_canon_sha256":"f9f2968420b19a88c31fb00e089228ff6e6a92fc9b9551a78c9546b96549ce50","abstract_canon_sha256":"187ddc1281a41880c0ab16f50f83fa657e4fd5f6ba0e625976d89147f3700a95"},"schema_version":"1.0"},"canonical_sha256":"88d65d20a172f720cb759d73b59a45ac6adc4433fb401d319e5cc25affff1abd","source":{"kind":"arxiv","id":"1904.04484","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04484","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04484v2","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04484","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"pith_short_12","alias_value":"RDLF2IFBOL3S","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"pith_short_16","alias_value":"RDLF2IFBOL3SBS3V","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"pith_short_8","alias_value":"RDLF2IFB","created_at":"2026-07-05T09:19:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:RDLF2IFBOL3SBS3VTVZ3LGSFVR","target":"record","payload":{"canonical_record":{"source":{"id":"1904.04484","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-09T06:36:49Z","cross_cats_sorted":[],"title_canon_sha256":"f9f2968420b19a88c31fb00e089228ff6e6a92fc9b9551a78c9546b96549ce50","abstract_canon_sha256":"187ddc1281a41880c0ab16f50f83fa657e4fd5f6ba0e625976d89147f3700a95"},"schema_version":"1.0"},"canonical_sha256":"88d65d20a172f720cb759d73b59a45ac6adc4433fb401d319e5cc25affff1abd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:19:49.261405Z","signature_b64":"RRvZu35PzbGTdcQ/arHf0jREYibxn6oVi4eOspwXc5gbdtThfEegCEIfHhONVYBuPw8nMQ9PLkDYSDtnPH7/DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88d65d20a172f720cb759d73b59a45ac6adc4433fb401d319e5cc25affff1abd","last_reissued_at":"2026-07-05T09:19:49.260993Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:19:49.260993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.04484","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":"2026-07-05T09:19:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OYNqXzz63afyYowDFXiE/IZXRyceac0G+9GMsdlbSKWK4U03T7Qnc8hVWTt0zgjg8V9W3qUPLJrZ3S/t1SJbDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:25:27.932586Z"},"content_sha256":"be0f1944afed460c44b8863a8f3346539f8320cbf277d383a776e73c463a11fe","schema_version":"1.0","event_id":"sha256:be0f1944afed460c44b8863a8f3346539f8320cbf277d383a776e73c463a11fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:RDLF2IFBOL3SBS3VTVZ3LGSFVR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Meta-analysis of Bayesian analyses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Diego Mesquita, Jarno Lintusaari, Jukka Corander, Omar Rivasplata, Paul Blomstedt, Samuel Kaski, Tuomas Sivula","submitted_at":"2019-04-09T06:36:49Z","abstract_excerpt":"Meta-analysis aims to generalize results from multiple related statistical analyses through a combined analysis. While the natural outcome of a Bayesian study is a posterior distribution, traditional Bayesian meta-analyses proceed by combining summary statistics (i.e., point-valued estimates) computed from data. In this paper, we develop a framework for combining posterior distributions from multiple related Bayesian studies into a meta-analysis. Importantly, the method is capable of reusing pre-computed posteriors from computationally costly analyses, without needing the implementation detail"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04484","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1904.04484/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":"2026-07-05T09:19:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GVvn1b6I+R9IF+xLWdWsZLdfdSbBHXEviTqkbtTEyDvaBJgvf0KSErloEmnswpu6UIciSJGGuX0Fo677yZRPDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:25:27.932969Z"},"content_sha256":"92938a4e13eed11c9f878aa95a0d8e40edb95b031ad2e4c9eb563747687a39a3","schema_version":"1.0","event_id":"sha256:92938a4e13eed11c9f878aa95a0d8e40edb95b031ad2e4c9eb563747687a39a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR/bundle.json","state_url":"https://pith.science/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR/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":"2026-07-07T13:25:27Z","links":{"resolver":"https://pith.science/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR","bundle":"https://pith.science/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR/bundle.json","state":"https://pith.science/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RDLF2IFBOL3SBS3VTVZ3LGSFVR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RDLF2IFBOL3SBS3VTVZ3LGSFVR","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":"187ddc1281a41880c0ab16f50f83fa657e4fd5f6ba0e625976d89147f3700a95","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-09T06:36:49Z","title_canon_sha256":"f9f2968420b19a88c31fb00e089228ff6e6a92fc9b9551a78c9546b96549ce50"},"schema_version":"1.0","source":{"id":"1904.04484","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04484","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04484v2","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04484","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"pith_short_12","alias_value":"RDLF2IFBOL3S","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"pith_short_16","alias_value":"RDLF2IFBOL3SBS3V","created_at":"2026-07-05T09:19:49Z"},{"alias_kind":"pith_short_8","alias_value":"RDLF2IFB","created_at":"2026-07-05T09:19:49Z"}],"graph_snapshots":[{"event_id":"sha256:92938a4e13eed11c9f878aa95a0d8e40edb95b031ad2e4c9eb563747687a39a3","target":"graph","created_at":"2026-07-05T09:19:49Z","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/1904.04484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Meta-analysis aims to generalize results from multiple related statistical analyses through a combined analysis. While the natural outcome of a Bayesian study is a posterior distribution, traditional Bayesian meta-analyses proceed by combining summary statistics (i.e., point-valued estimates) computed from data. In this paper, we develop a framework for combining posterior distributions from multiple related Bayesian studies into a meta-analysis. Importantly, the method is capable of reusing pre-computed posteriors from computationally costly analyses, without needing the implementation detail","authors_text":"Diego Mesquita, Jarno Lintusaari, Jukka Corander, Omar Rivasplata, Paul Blomstedt, Samuel Kaski, Tuomas Sivula","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-09T06:36:49Z","title":"Meta-analysis of Bayesian analyses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04484","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:be0f1944afed460c44b8863a8f3346539f8320cbf277d383a776e73c463a11fe","target":"record","created_at":"2026-07-05T09:19:49Z","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":"187ddc1281a41880c0ab16f50f83fa657e4fd5f6ba0e625976d89147f3700a95","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-09T06:36:49Z","title_canon_sha256":"f9f2968420b19a88c31fb00e089228ff6e6a92fc9b9551a78c9546b96549ce50"},"schema_version":"1.0","source":{"id":"1904.04484","kind":"arxiv","version":2}},"canonical_sha256":"88d65d20a172f720cb759d73b59a45ac6adc4433fb401d319e5cc25affff1abd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88d65d20a172f720cb759d73b59a45ac6adc4433fb401d319e5cc25affff1abd","first_computed_at":"2026-07-05T09:19:49.260993Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:49.260993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RRvZu35PzbGTdcQ/arHf0jREYibxn6oVi4eOspwXc5gbdtThfEegCEIfHhONVYBuPw8nMQ9PLkDYSDtnPH7/DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:49.261405Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04484","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be0f1944afed460c44b8863a8f3346539f8320cbf277d383a776e73c463a11fe","sha256:92938a4e13eed11c9f878aa95a0d8e40edb95b031ad2e4c9eb563747687a39a3"],"state_sha256":"7d515e5f724c36fa463154344348c7b059eba731f8b3daf5a893f70bbe06c0d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oR99eoQm3ZPrqDSFcH208DKeq2iQiSt5239MOHvqZaTCqnk3+Ejgu1TouVA7lEybBXWV7FcfONg9HK4it4gQDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:25:27.934943Z","bundle_sha256":"1a4de7b0b322fb51ece1d443be42ebefbc8e190e9451e7786a7fc9e6dea15817"}}