{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:2TXTC6UWO2QMLNJ5EK3ENATNT6","short_pith_number":"pith:2TXTC6UW","canonical_record":{"source":{"id":"1403.5150","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-20T14:38:59Z","cross_cats_sorted":[],"title_canon_sha256":"80d2066ad69217f073e633645523ba5cae1872e603b1880a47e1ae1207dd44a3","abstract_canon_sha256":"fd8d6834ced763ecfade462917e45718c131cce5755a533d411148e99e0e5e49"},"schema_version":"1.0"},"canonical_sha256":"d4ef317a9676a0c5b53d22b646826d9fbedca5d3dc40d69c1b5dc5b8467768a6","source":{"kind":"arxiv","id":"1403.5150","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.5150","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"arxiv_version","alias_value":"1403.5150v2","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.5150","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"pith_short_12","alias_value":"2TXTC6UWO2QM","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"2TXTC6UWO2QMLNJ5","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"2TXTC6UW","created_at":"2026-05-18T12:28:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:2TXTC6UWO2QMLNJ5EK3ENATNT6","target":"record","payload":{"canonical_record":{"source":{"id":"1403.5150","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-20T14:38:59Z","cross_cats_sorted":[],"title_canon_sha256":"80d2066ad69217f073e633645523ba5cae1872e603b1880a47e1ae1207dd44a3","abstract_canon_sha256":"fd8d6834ced763ecfade462917e45718c131cce5755a533d411148e99e0e5e49"},"schema_version":"1.0"},"canonical_sha256":"d4ef317a9676a0c5b53d22b646826d9fbedca5d3dc40d69c1b5dc5b8467768a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:53:17.134333Z","signature_b64":"GGSBGplbzYY82TVvTPQ5G46hHHnSJ+fWj9jGVmJtUlRLRKGAbvgBK0vCUN7gGDey2jw4hhT4ElDNv/v/tMdJAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4ef317a9676a0c5b53d22b646826d9fbedca5d3dc40d69c1b5dc5b8467768a6","last_reissued_at":"2026-05-18T02:53:17.133633Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:53:17.133633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.5150","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":"2026-05-18T02:53:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MITY1k0FeowAVoWEZUuZv9h+peXbtVM8cS1K+nrqQy25f+aIX5UP9xLREL12hPpzyPcCsPZatad4oNrNqKl/Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T00:32:04.440441Z"},"content_sha256":"30e65e813074b8749306ef9673c5ab20b3138cdca2d1a80aafd85647a972becb","schema_version":"1.0","event_id":"sha256:30e65e813074b8749306ef9673c5ab20b3138cdca2d1a80aafd85647a972becb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:2TXTC6UWO2QMLNJ5EK3ENATNT6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayes Sensitivity with Fisher-Rao Metric","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Karthik Bharath, Sebastian Kurtek","submitted_at":"2014-03-20T14:38:59Z","abstract_excerpt":"We propose a geometric framework to assess sensitivity of Bayesian procedures to modeling assumptions based on the nonparametric Fisher-Rao metric. While the framework is general in spirit, the focus of this article is restricted to metric-based diagnosis under two settings: assessing local and global robustness in Bayesian procedures to perturbations of the likelihood and prior, and identification of influential observations. The approach is based on the square-root representation of densities which enables one to compute geodesics and geodesic distances in analytical form, facilitating the d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.5150","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":"2026-05-18T02:53:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"22bh4JAPdGcS26MgIkgvXx3Sp4Ngn1QUn6JYVadM/MUp13Kc4vHCVVBkXbVbz1/3HJyVARBaZvit1iVsbTY5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T00:32:04.441159Z"},"content_sha256":"7b6951a215bdcb940611a3c25be72ed6f01aa3858d72665191af9c58d490e390","schema_version":"1.0","event_id":"sha256:7b6951a215bdcb940611a3c25be72ed6f01aa3858d72665191af9c58d490e390"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6/bundle.json","state_url":"https://pith.science/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6/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":"2026-06-10T00:32:04Z","links":{"resolver":"https://pith.science/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6","bundle":"https://pith.science/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6/bundle.json","state":"https://pith.science/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2TXTC6UWO2QMLNJ5EK3ENATNT6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:2TXTC6UWO2QMLNJ5EK3ENATNT6","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":"fd8d6834ced763ecfade462917e45718c131cce5755a533d411148e99e0e5e49","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-20T14:38:59Z","title_canon_sha256":"80d2066ad69217f073e633645523ba5cae1872e603b1880a47e1ae1207dd44a3"},"schema_version":"1.0","source":{"id":"1403.5150","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.5150","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"arxiv_version","alias_value":"1403.5150v2","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.5150","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"pith_short_12","alias_value":"2TXTC6UWO2QM","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"2TXTC6UWO2QMLNJ5","created_at":"2026-05-18T12:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"2TXTC6UW","created_at":"2026-05-18T12:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:7b6951a215bdcb940611a3c25be72ed6f01aa3858d72665191af9c58d490e390","target":"graph","created_at":"2026-05-18T02:53:17Z","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 propose a geometric framework to assess sensitivity of Bayesian procedures to modeling assumptions based on the nonparametric Fisher-Rao metric. While the framework is general in spirit, the focus of this article is restricted to metric-based diagnosis under two settings: assessing local and global robustness in Bayesian procedures to perturbations of the likelihood and prior, and identification of influential observations. The approach is based on the square-root representation of densities which enables one to compute geodesics and geodesic distances in analytical form, facilitating the d","authors_text":"Karthik Bharath, Sebastian Kurtek","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-20T14:38:59Z","title":"Bayes Sensitivity with Fisher-Rao Metric"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.5150","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":"sha256:30e65e813074b8749306ef9673c5ab20b3138cdca2d1a80aafd85647a972becb","target":"record","created_at":"2026-05-18T02:53:17Z","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":"fd8d6834ced763ecfade462917e45718c131cce5755a533d411148e99e0e5e49","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-20T14:38:59Z","title_canon_sha256":"80d2066ad69217f073e633645523ba5cae1872e603b1880a47e1ae1207dd44a3"},"schema_version":"1.0","source":{"id":"1403.5150","kind":"arxiv","version":2}},"canonical_sha256":"d4ef317a9676a0c5b53d22b646826d9fbedca5d3dc40d69c1b5dc5b8467768a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4ef317a9676a0c5b53d22b646826d9fbedca5d3dc40d69c1b5dc5b8467768a6","first_computed_at":"2026-05-18T02:53:17.133633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:53:17.133633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GGSBGplbzYY82TVvTPQ5G46hHHnSJ+fWj9jGVmJtUlRLRKGAbvgBK0vCUN7gGDey2jw4hhT4ElDNv/v/tMdJAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:53:17.134333Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.5150","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30e65e813074b8749306ef9673c5ab20b3138cdca2d1a80aafd85647a972becb","sha256:7b6951a215bdcb940611a3c25be72ed6f01aa3858d72665191af9c58d490e390"],"state_sha256":"85185f7617efe74354dfe7c357ae591554f194d05c28e0355ee10e537393ac92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"agKaQKo/q4fuIaL/wsXxn4ktchIfNo+ti9rXNSQBh207q0W1x4xAFeeuAwQXkGARYksEcXzdDsBgsDr2BpTwAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T00:32:04.445156Z","bundle_sha256":"3eab4b7fabe11a4ecc300f271c8b1a0a368905db42ecf70fb9bb79e3d01b3517"}}