{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:S5TAK6IMQXDEQAN7DIXZWK3PXX","short_pith_number":"pith:S5TAK6IM","canonical_record":{"source":{"id":"1703.01234","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-03T16:29:21Z","cross_cats_sorted":["stat.AP","stat.CO","stat.ML"],"title_canon_sha256":"bf8cb6294214ef48c9792344c603167c6f0c40b3c22508909187ca925e5f08ad","abstract_canon_sha256":"e4e2a87bc44d33deca3c62bc0235731779045bfd7fa531d5fd07461e85fd5f66"},"schema_version":"1.0"},"canonical_sha256":"976605790c85c64801bf1a2f9b2b6fbdec068f302b40dd80f0d4a0367414dfcf","source":{"kind":"arxiv","id":"1703.01234","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01234","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01234v1","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01234","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"pith_short_12","alias_value":"S5TAK6IMQXDE","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"S5TAK6IMQXDEQAN7","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"S5TAK6IM","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:S5TAK6IMQXDEQAN7DIXZWK3PXX","target":"record","payload":{"canonical_record":{"source":{"id":"1703.01234","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-03T16:29:21Z","cross_cats_sorted":["stat.AP","stat.CO","stat.ML"],"title_canon_sha256":"bf8cb6294214ef48c9792344c603167c6f0c40b3c22508909187ca925e5f08ad","abstract_canon_sha256":"e4e2a87bc44d33deca3c62bc0235731779045bfd7fa531d5fd07461e85fd5f66"},"schema_version":"1.0"},"canonical_sha256":"976605790c85c64801bf1a2f9b2b6fbdec068f302b40dd80f0d4a0367414dfcf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:35.647980Z","signature_b64":"bb8KHWQOlO9bwPzudQ088heX2oPmCj9gzPWOY4t72xH1mdNokF8ZtWA6Nv4nh4K4DZBX/bhHI/XBhDchYFuDBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"976605790c85c64801bf1a2f9b2b6fbdec068f302b40dd80f0d4a0367414dfcf","last_reissued_at":"2026-05-18T00:49:35.647433Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:35.647433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.01234","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":"2026-05-18T00:49:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hBH9EJpI0o9JWV5G3fs91Zm4D3BLjdgvTtBR5msIWWX5lyhXPVFMFhYPedo/a5YjbxxpOLXvnOTs5Tr2tLGADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T13:34:24.701727Z"},"content_sha256":"d16ae15903393532435bbf400be3dbe76d1946026a59a8440e36c9743b1cc81d","schema_version":"1.0","event_id":"sha256:d16ae15903393532435bbf400be3dbe76d1946026a59a8440e36c9743b1cc81d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:S5TAK6IMQXDEQAN7DIXZWK3PXX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Bayesian computer model analysis of Robust Bayesian analyses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.CO","stat.ML"],"primary_cat":"stat.ME","authors_text":"Ian Vernon, John Paul Gosling","submitted_at":"2017-03-03T16:29:21Z","abstract_excerpt":"We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves. These techniques facilitate robust Bayesian analyses and/or sensitivity analyses of complex problems, and hence allow global exploration of the impacts of choices made in both the likelihood and prior specification. We show how previously intractable problems in robustness studies can be overcome using emulation techniques, and how these methods allow other scientists to quickly extract approximations to posterior resu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01234","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":"2026-05-18T00:49:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J7GZUOadq2zPacZyjRaGRTO1XCIxs7TZt1uzWO0QWC4zqUViJp+qh11+6/DhkL1qcG9nOnU5Be5ZoYpF+AavDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T13:34:24.702084Z"},"content_sha256":"b084603bc1a610583d5fcd2d5c333c9bb511b086fa44da17e934493aba30190c","schema_version":"1.0","event_id":"sha256:b084603bc1a610583d5fcd2d5c333c9bb511b086fa44da17e934493aba30190c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX/bundle.json","state_url":"https://pith.science/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX/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":"2026-06-01T13:34:24Z","links":{"resolver":"https://pith.science/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX","bundle":"https://pith.science/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX/bundle.json","state":"https://pith.science/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S5TAK6IMQXDEQAN7DIXZWK3PXX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:S5TAK6IMQXDEQAN7DIXZWK3PXX","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":"e4e2a87bc44d33deca3c62bc0235731779045bfd7fa531d5fd07461e85fd5f66","cross_cats_sorted":["stat.AP","stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-03T16:29:21Z","title_canon_sha256":"bf8cb6294214ef48c9792344c603167c6f0c40b3c22508909187ca925e5f08ad"},"schema_version":"1.0","source":{"id":"1703.01234","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01234","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01234v1","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01234","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"pith_short_12","alias_value":"S5TAK6IMQXDE","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"S5TAK6IMQXDEQAN7","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"S5TAK6IM","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:b084603bc1a610583d5fcd2d5c333c9bb511b086fa44da17e934493aba30190c","target":"graph","created_at":"2026-05-18T00:49:35Z","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":"We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves. These techniques facilitate robust Bayesian analyses and/or sensitivity analyses of complex problems, and hence allow global exploration of the impacts of choices made in both the likelihood and prior specification. We show how previously intractable problems in robustness studies can be overcome using emulation techniques, and how these methods allow other scientists to quickly extract approximations to posterior resu","authors_text":"Ian Vernon, John Paul Gosling","cross_cats":["stat.AP","stat.CO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-03T16:29:21Z","title":"A Bayesian computer model analysis of Robust Bayesian analyses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01234","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:d16ae15903393532435bbf400be3dbe76d1946026a59a8440e36c9743b1cc81d","target":"record","created_at":"2026-05-18T00:49:35Z","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":"e4e2a87bc44d33deca3c62bc0235731779045bfd7fa531d5fd07461e85fd5f66","cross_cats_sorted":["stat.AP","stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-03T16:29:21Z","title_canon_sha256":"bf8cb6294214ef48c9792344c603167c6f0c40b3c22508909187ca925e5f08ad"},"schema_version":"1.0","source":{"id":"1703.01234","kind":"arxiv","version":1}},"canonical_sha256":"976605790c85c64801bf1a2f9b2b6fbdec068f302b40dd80f0d4a0367414dfcf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"976605790c85c64801bf1a2f9b2b6fbdec068f302b40dd80f0d4a0367414dfcf","first_computed_at":"2026-05-18T00:49:35.647433Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:35.647433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bb8KHWQOlO9bwPzudQ088heX2oPmCj9gzPWOY4t72xH1mdNokF8ZtWA6Nv4nh4K4DZBX/bhHI/XBhDchYFuDBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:35.647980Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.01234","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d16ae15903393532435bbf400be3dbe76d1946026a59a8440e36c9743b1cc81d","sha256:b084603bc1a610583d5fcd2d5c333c9bb511b086fa44da17e934493aba30190c"],"state_sha256":"e8b8c98dc9e48497c38e8b97bf7fbfe7755de52eb9f641063e840093b27196d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I2IvGznyydl3mcvI5OiNp0C/uOf/llPQJsVg6qMaQ28aSDUG0OVKFi/B+2xx0VUnPByrdn5CORy8R6iq/8JyAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T13:34:24.704329Z","bundle_sha256":"cf04ed9df6e1fb690954a489975cb99565f2f79030dfac75c314e9ad5d378d33"}}