{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:M4MR3YP7ERYLH6ACWVJGT7EJUR","short_pith_number":"pith:M4MR3YP7","canonical_record":{"source":{"id":"1409.8470","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-09-30T10:43:30Z","cross_cats_sorted":[],"title_canon_sha256":"5be0d71ee6425c570e5981876cc8a59b68fc145addae12e4d3221aa6cf6e0092","abstract_canon_sha256":"de3824881f525c1793cb56e219dc92357bb17b7384504515b752c7ef43c14e88"},"schema_version":"1.0"},"canonical_sha256":"67191de1ff2470b3f802b55269fc89a464509cbb7841102905ec3f979ed67af6","source":{"kind":"arxiv","id":"1409.8470","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.8470","created_at":"2026-05-18T02:41:25Z"},{"alias_kind":"arxiv_version","alias_value":"1409.8470v1","created_at":"2026-05-18T02:41:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.8470","created_at":"2026-05-18T02:41:25Z"},{"alias_kind":"pith_short_12","alias_value":"M4MR3YP7ERYL","created_at":"2026-05-18T12:28:38Z"},{"alias_kind":"pith_short_16","alias_value":"M4MR3YP7ERYLH6AC","created_at":"2026-05-18T12:28:38Z"},{"alias_kind":"pith_short_8","alias_value":"M4MR3YP7","created_at":"2026-05-18T12:28:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:M4MR3YP7ERYLH6ACWVJGT7EJUR","target":"record","payload":{"canonical_record":{"source":{"id":"1409.8470","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-09-30T10:43:30Z","cross_cats_sorted":[],"title_canon_sha256":"5be0d71ee6425c570e5981876cc8a59b68fc145addae12e4d3221aa6cf6e0092","abstract_canon_sha256":"de3824881f525c1793cb56e219dc92357bb17b7384504515b752c7ef43c14e88"},"schema_version":"1.0"},"canonical_sha256":"67191de1ff2470b3f802b55269fc89a464509cbb7841102905ec3f979ed67af6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:41:25.314091Z","signature_b64":"TG1BlveIeWr8RXFIbHDPaVzM8pDXmzSU8KmOR0zrS8WE6kLaHq/4MWmznha1PzJys0EhQzP1SFAjd6p+NLqiBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67191de1ff2470b3f802b55269fc89a464509cbb7841102905ec3f979ed67af6","last_reissued_at":"2026-05-18T02:41:25.313656Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:41:25.313656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1409.8470","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":"2026-05-18T02:41:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wVMaxhF+jkp20HyLpK4cysH+/him5OEx+X5BJP9yVT/BQQp/T8c6YZkLJPwKdliF+22xCExtyrZ2Ma4SmHarBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:02:46.214297Z"},"content_sha256":"317abe4be5df0f0cb7ac587acebcb014d696effb32bfcd7eda9bbdb014ebc001","schema_version":"1.0","event_id":"sha256:317abe4be5df0f0cb7ac587acebcb014d696effb32bfcd7eda9bbdb014ebc001"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:M4MR3YP7ERYLH6ACWVJGT7EJUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interference Effects in Quantum Belief Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Andreas Wichert, Catarina Moreira","submitted_at":"2014-09-30T10:43:30Z","abstract_excerpt":"Probabilistic graphical models such as Bayesian Networks are one of the most powerful structures known by the Computer Science community for deriving probabilistic inferences. However, modern cognitive psychology has revealed that human decisions could not follow the rules of classical probability theory, because humans cannot process large amounts of data in order to make judgements. Consequently, the inferences performed are based on limited data coupled with several heuristics, leading to violations of the law of total probability. This means that probabilistic graphical models based on cla"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.8470","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":"2026-05-18T02:41:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ip+1JUd3NEN/AYin2UD/n16lt+A8c0pISGqvEUoZ9tlSVz2ygWatPIL+yNfsmBNvto7ywkOzTFwn2dRDPMAfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:02:46.214676Z"},"content_sha256":"86284c4ae6ac0dd734c20fc230c3eb43597ebdcdcd809bc4099f73d360407d43","schema_version":"1.0","event_id":"sha256:86284c4ae6ac0dd734c20fc230c3eb43597ebdcdcd809bc4099f73d360407d43"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR/bundle.json","state_url":"https://pith.science/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR/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":"2026-06-24T20:02:46Z","links":{"resolver":"https://pith.science/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR","bundle":"https://pith.science/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR/bundle.json","state":"https://pith.science/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M4MR3YP7ERYLH6ACWVJGT7EJUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:M4MR3YP7ERYLH6ACWVJGT7EJUR","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":"de3824881f525c1793cb56e219dc92357bb17b7384504515b752c7ef43c14e88","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-09-30T10:43:30Z","title_canon_sha256":"5be0d71ee6425c570e5981876cc8a59b68fc145addae12e4d3221aa6cf6e0092"},"schema_version":"1.0","source":{"id":"1409.8470","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.8470","created_at":"2026-05-18T02:41:25Z"},{"alias_kind":"arxiv_version","alias_value":"1409.8470v1","created_at":"2026-05-18T02:41:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.8470","created_at":"2026-05-18T02:41:25Z"},{"alias_kind":"pith_short_12","alias_value":"M4MR3YP7ERYL","created_at":"2026-05-18T12:28:38Z"},{"alias_kind":"pith_short_16","alias_value":"M4MR3YP7ERYLH6AC","created_at":"2026-05-18T12:28:38Z"},{"alias_kind":"pith_short_8","alias_value":"M4MR3YP7","created_at":"2026-05-18T12:28:38Z"}],"graph_snapshots":[{"event_id":"sha256:86284c4ae6ac0dd734c20fc230c3eb43597ebdcdcd809bc4099f73d360407d43","target":"graph","created_at":"2026-05-18T02:41:25Z","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":"Probabilistic graphical models such as Bayesian Networks are one of the most powerful structures known by the Computer Science community for deriving probabilistic inferences. However, modern cognitive psychology has revealed that human decisions could not follow the rules of classical probability theory, because humans cannot process large amounts of data in order to make judgements. Consequently, the inferences performed are based on limited data coupled with several heuristics, leading to violations of the law of total probability. This means that probabilistic graphical models based on cla","authors_text":"Andreas Wichert, Catarina Moreira","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-09-30T10:43:30Z","title":"Interference Effects in Quantum Belief Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.8470","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":"sha256:317abe4be5df0f0cb7ac587acebcb014d696effb32bfcd7eda9bbdb014ebc001","target":"record","created_at":"2026-05-18T02:41:25Z","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":"de3824881f525c1793cb56e219dc92357bb17b7384504515b752c7ef43c14e88","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-09-30T10:43:30Z","title_canon_sha256":"5be0d71ee6425c570e5981876cc8a59b68fc145addae12e4d3221aa6cf6e0092"},"schema_version":"1.0","source":{"id":"1409.8470","kind":"arxiv","version":1}},"canonical_sha256":"67191de1ff2470b3f802b55269fc89a464509cbb7841102905ec3f979ed67af6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67191de1ff2470b3f802b55269fc89a464509cbb7841102905ec3f979ed67af6","first_computed_at":"2026-05-18T02:41:25.313656Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:25.313656Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TG1BlveIeWr8RXFIbHDPaVzM8pDXmzSU8KmOR0zrS8WE6kLaHq/4MWmznha1PzJys0EhQzP1SFAjd6p+NLqiBA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:25.314091Z","signed_message":"canonical_sha256_bytes"},"source_id":"1409.8470","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:317abe4be5df0f0cb7ac587acebcb014d696effb32bfcd7eda9bbdb014ebc001","sha256:86284c4ae6ac0dd734c20fc230c3eb43597ebdcdcd809bc4099f73d360407d43"],"state_sha256":"cc2df2f704e35403827679e08b4f74483d152c9cb62d251d2cba83bf16382c1b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XkdgHbrie6w2eTH4AzAxpRTlfOp5uUDqqE87IVNI777WHYKFUWFJgRvujWlpw9BWYkn6wv3S2EftI6PA7CGdAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T20:02:46.216774Z","bundle_sha256":"d44447670e233e7b65f22f08266526e1dd3b95318303ba8ef3ed5c3a9ff9469d"}}