{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:WW5HG7YGELM6757E4AJAJFYJKB","short_pith_number":"pith:WW5HG7YG","canonical_record":{"source":{"id":"1304.2359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:43:30Z","cross_cats_sorted":[],"title_canon_sha256":"fa372739ba2cc3767567605e39bfa30a0e351327588ce3815be1470ce189fe0c","abstract_canon_sha256":"f1d3e9fcd9206a83e407162b2f55fe2ab4392432e3b904999275ade33854ea4f"},"schema_version":"1.0"},"canonical_sha256":"b5ba737f0622d9eff7e4e01204970950618ad0c9b9a1d1c7b01d4a510d2c61d1","source":{"kind":"arxiv","id":"1304.2359","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.2359","created_at":"2026-05-18T03:28:32Z"},{"alias_kind":"arxiv_version","alias_value":"1304.2359v1","created_at":"2026-05-18T03:28:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.2359","created_at":"2026-05-18T03:28:32Z"},{"alias_kind":"pith_short_12","alias_value":"WW5HG7YGELM6","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"WW5HG7YGELM6757E","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"WW5HG7YG","created_at":"2026-05-18T12:28:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:WW5HG7YGELM6757E4AJAJFYJKB","target":"record","payload":{"canonical_record":{"source":{"id":"1304.2359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:43:30Z","cross_cats_sorted":[],"title_canon_sha256":"fa372739ba2cc3767567605e39bfa30a0e351327588ce3815be1470ce189fe0c","abstract_canon_sha256":"f1d3e9fcd9206a83e407162b2f55fe2ab4392432e3b904999275ade33854ea4f"},"schema_version":"1.0"},"canonical_sha256":"b5ba737f0622d9eff7e4e01204970950618ad0c9b9a1d1c7b01d4a510d2c61d1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:28:32.456769Z","signature_b64":"grjJUi2iq6Fi3c+h70ajby8MSa2dC5ocsLTOUmqt0Tf7MxnStvF9E/DAuKc7x9EMDxuXvwdGEmOPpCbPCgwhBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b5ba737f0622d9eff7e4e01204970950618ad0c9b9a1d1c7b01d4a510d2c61d1","last_reissued_at":"2026-05-18T03:28:32.456180Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:28:32.456180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1304.2359","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":"2026-05-18T03:28:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aOLoyj0+m+m/8flZUA/AmLvmfgHv7Wyy2rG4hbiAXvHkfdo2N58TBVcO4W3gGn2IugVfTZlG8/eGdkFuxZPMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T23:14:40.239813Z"},"content_sha256":"32eb77bf5eb2164f2e5900cf0a9b5a966c3afc9085ae8db56895b25b00d47501","schema_version":"1.0","event_id":"sha256:32eb77bf5eb2164f2e5900cf0a9b5a966c3afc9085ae8db56895b25b00d47501"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:WW5HG7YGELM6757E4AJAJFYJKB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stochastic Sensitivity Analysis Using Fuzzy Influence Diagrams","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alice M. Agogino, Pramod Jain","submitted_at":"2013-03-27T19:43:30Z","abstract_excerpt":"The practice of stochastic sensitivity analysis described in the decision analysis literature is a testimonial to the need for considering deviations from precise point estimates of uncertainty.  We propose the use of Bayesian fuzzy probabilities within an influence diagram computational scheme for performing sensitivity analysis during the solution of probabilistic inference and decision problems.  Unlike other parametric approaches, the proposed scheme does not require resolving the problem for the varying probability point estimates.  We claim that the solution to fuzzy influence diagrams p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.2359","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":"2026-05-18T03:28:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pef9Zx1dpRZYpqlyeFQxZDWiDBBhbJxLWjuWG8pEepAsfatjuC/AxVZKXanU2vadJp6g3K1dgcJ8DRuircdXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T23:14:40.240158Z"},"content_sha256":"b2b8a751e2a35732ed4f842bc50c3c74ae4ba519f46973a578999164873bf7d2","schema_version":"1.0","event_id":"sha256:b2b8a751e2a35732ed4f842bc50c3c74ae4ba519f46973a578999164873bf7d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WW5HG7YGELM6757E4AJAJFYJKB/bundle.json","state_url":"https://pith.science/pith/WW5HG7YGELM6757E4AJAJFYJKB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WW5HG7YGELM6757E4AJAJFYJKB/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":"2026-07-02T23:14:40Z","links":{"resolver":"https://pith.science/pith/WW5HG7YGELM6757E4AJAJFYJKB","bundle":"https://pith.science/pith/WW5HG7YGELM6757E4AJAJFYJKB/bundle.json","state":"https://pith.science/pith/WW5HG7YGELM6757E4AJAJFYJKB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WW5HG7YGELM6757E4AJAJFYJKB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:WW5HG7YGELM6757E4AJAJFYJKB","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":"f1d3e9fcd9206a83e407162b2f55fe2ab4392432e3b904999275ade33854ea4f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:43:30Z","title_canon_sha256":"fa372739ba2cc3767567605e39bfa30a0e351327588ce3815be1470ce189fe0c"},"schema_version":"1.0","source":{"id":"1304.2359","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.2359","created_at":"2026-05-18T03:28:32Z"},{"alias_kind":"arxiv_version","alias_value":"1304.2359v1","created_at":"2026-05-18T03:28:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.2359","created_at":"2026-05-18T03:28:32Z"},{"alias_kind":"pith_short_12","alias_value":"WW5HG7YGELM6","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"WW5HG7YGELM6757E","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"WW5HG7YG","created_at":"2026-05-18T12:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:b2b8a751e2a35732ed4f842bc50c3c74ae4ba519f46973a578999164873bf7d2","target":"graph","created_at":"2026-05-18T03:28:32Z","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":"The practice of stochastic sensitivity analysis described in the decision analysis literature is a testimonial to the need for considering deviations from precise point estimates of uncertainty.  We propose the use of Bayesian fuzzy probabilities within an influence diagram computational scheme for performing sensitivity analysis during the solution of probabilistic inference and decision problems.  Unlike other parametric approaches, the proposed scheme does not require resolving the problem for the varying probability point estimates.  We claim that the solution to fuzzy influence diagrams p","authors_text":"Alice M. Agogino, Pramod Jain","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:43:30Z","title":"Stochastic Sensitivity Analysis Using Fuzzy Influence Diagrams"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.2359","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":"sha256:32eb77bf5eb2164f2e5900cf0a9b5a966c3afc9085ae8db56895b25b00d47501","target":"record","created_at":"2026-05-18T03:28:32Z","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":"f1d3e9fcd9206a83e407162b2f55fe2ab4392432e3b904999275ade33854ea4f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:43:30Z","title_canon_sha256":"fa372739ba2cc3767567605e39bfa30a0e351327588ce3815be1470ce189fe0c"},"schema_version":"1.0","source":{"id":"1304.2359","kind":"arxiv","version":1}},"canonical_sha256":"b5ba737f0622d9eff7e4e01204970950618ad0c9b9a1d1c7b01d4a510d2c61d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5ba737f0622d9eff7e4e01204970950618ad0c9b9a1d1c7b01d4a510d2c61d1","first_computed_at":"2026-05-18T03:28:32.456180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:28:32.456180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"grjJUi2iq6Fi3c+h70ajby8MSa2dC5ocsLTOUmqt0Tf7MxnStvF9E/DAuKc7x9EMDxuXvwdGEmOPpCbPCgwhBg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:28:32.456769Z","signed_message":"canonical_sha256_bytes"},"source_id":"1304.2359","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32eb77bf5eb2164f2e5900cf0a9b5a966c3afc9085ae8db56895b25b00d47501","sha256:b2b8a751e2a35732ed4f842bc50c3c74ae4ba519f46973a578999164873bf7d2"],"state_sha256":"6fd63690725e2cceec02fad3e8c01c6f09363a1e2fba33fb3bea57c4a073683e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zDWCNNsPipN85GcxB5RAr9fh7SGV28BDzqXRSYSKoramGcHU1gcxceTGPXgWkHRoMsD3OYti7Z+dRsnc/qj7CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T23:14:40.242533Z","bundle_sha256":"dac864dad06bdcba8f8019666387d1f1ea09ef6a1df51a5873d999e39801a603"}}