{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:IVESB5N4DRE3XM5FF6AU7VCACC","short_pith_number":"pith:IVESB5N4","canonical_record":{"source":{"id":"1303.5438","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-13T12:56:04Z","cross_cats_sorted":[],"title_canon_sha256":"cbed12647648e0d2d31ba757ca62b7ba16c77b57341bd3bb14e3fd138f433f1f","abstract_canon_sha256":"d0a9fa327629737edcc2cc868d06a5b3f61422e988be3ba75fd1cbf9e7840fc7"},"schema_version":"1.0"},"canonical_sha256":"454920f5bc1c49bbb3a52f814fd44010a3dedcf7acffba601bedb28840252307","source":{"kind":"arxiv","id":"1303.5438","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.5438","created_at":"2026-05-18T03:30:04Z"},{"alias_kind":"arxiv_version","alias_value":"1303.5438v1","created_at":"2026-05-18T03:30:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.5438","created_at":"2026-05-18T03:30:04Z"},{"alias_kind":"pith_short_12","alias_value":"IVESB5N4DRE3","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"IVESB5N4DRE3XM5F","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"IVESB5N4","created_at":"2026-05-18T12:27:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:IVESB5N4DRE3XM5FF6AU7VCACC","target":"record","payload":{"canonical_record":{"source":{"id":"1303.5438","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-13T12:56:04Z","cross_cats_sorted":[],"title_canon_sha256":"cbed12647648e0d2d31ba757ca62b7ba16c77b57341bd3bb14e3fd138f433f1f","abstract_canon_sha256":"d0a9fa327629737edcc2cc868d06a5b3f61422e988be3ba75fd1cbf9e7840fc7"},"schema_version":"1.0"},"canonical_sha256":"454920f5bc1c49bbb3a52f814fd44010a3dedcf7acffba601bedb28840252307","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:30:04.145330Z","signature_b64":"8YkF9pQKIpFwRejy+djX6wEZGG8IY8ud7ffLVma6i7jFJyERvNKGQyfaT4hiy3bg8f0LBQ5CkY7NVHRbjsNWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"454920f5bc1c49bbb3a52f814fd44010a3dedcf7acffba601bedb28840252307","last_reissued_at":"2026-05-18T03:30:04.144776Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:30:04.144776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1303.5438","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":"2026-05-18T03:30:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dL01OlQ2hJBcX7rOfM2aEyUrtwalJYmwRxhdozoy2WwqE3SHH51lVmodcaYjfHml4cmUb+eugMH5RTxxyjcRBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T13:22:53.283500Z"},"content_sha256":"d6e5ad142e31f8a498481c27e4211dfbf00cc859c7a8e61bc50daa63696d277b","schema_version":"1.0","event_id":"sha256:d6e5ad142e31f8a498481c27e4211dfbf00cc859c7a8e61bc50daa63696d277b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:IVESB5N4DRE3XM5FF6AU7VCACC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Localization in Bayesian Networks for Large Expert Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"David L. Poole, Michael P. Beddoes, Yang Xiang","submitted_at":"2013-03-13T12:56:04Z","abstract_excerpt":"Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network.  At any time, a human reasoner in a large domain may direct his attention to only one of a number of natural subdomains, i.e., there is ?localization' of queries and evidence.  In such a case, propagating evidence through a homogeneous network is inefficient since the entire network has to be updated each time. This paper presents multiply sectioned Bayesian networks that enable a (localization preserving) representation of natural subdomains by separate Bayesian sub"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.5438","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":"2026-05-18T03:30:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xK/cW19nBSPyGF03ZCbiwpH/uE7EZi5oT+0RYYh+WUwoJodCncISvmne6HUKgMqlmnpfRdWnqd+A3dsIEp5ZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T13:22:53.283834Z"},"content_sha256":"5816395481b340bc58ef58bd35abb5033c3bf7118a1a702085264f7c079c640d","schema_version":"1.0","event_id":"sha256:5816395481b340bc58ef58bd35abb5033c3bf7118a1a702085264f7c079c640d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IVESB5N4DRE3XM5FF6AU7VCACC/bundle.json","state_url":"https://pith.science/pith/IVESB5N4DRE3XM5FF6AU7VCACC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IVESB5N4DRE3XM5FF6AU7VCACC/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":"2026-06-29T13:22:53Z","links":{"resolver":"https://pith.science/pith/IVESB5N4DRE3XM5FF6AU7VCACC","bundle":"https://pith.science/pith/IVESB5N4DRE3XM5FF6AU7VCACC/bundle.json","state":"https://pith.science/pith/IVESB5N4DRE3XM5FF6AU7VCACC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IVESB5N4DRE3XM5FF6AU7VCACC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:IVESB5N4DRE3XM5FF6AU7VCACC","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":"d0a9fa327629737edcc2cc868d06a5b3f61422e988be3ba75fd1cbf9e7840fc7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-13T12:56:04Z","title_canon_sha256":"cbed12647648e0d2d31ba757ca62b7ba16c77b57341bd3bb14e3fd138f433f1f"},"schema_version":"1.0","source":{"id":"1303.5438","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.5438","created_at":"2026-05-18T03:30:04Z"},{"alias_kind":"arxiv_version","alias_value":"1303.5438v1","created_at":"2026-05-18T03:30:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.5438","created_at":"2026-05-18T03:30:04Z"},{"alias_kind":"pith_short_12","alias_value":"IVESB5N4DRE3","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"IVESB5N4DRE3XM5F","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"IVESB5N4","created_at":"2026-05-18T12:27:49Z"}],"graph_snapshots":[{"event_id":"sha256:5816395481b340bc58ef58bd35abb5033c3bf7118a1a702085264f7c079c640d","target":"graph","created_at":"2026-05-18T03:30:04Z","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":"Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network.  At any time, a human reasoner in a large domain may direct his attention to only one of a number of natural subdomains, i.e., there is ?localization' of queries and evidence.  In such a case, propagating evidence through a homogeneous network is inefficient since the entire network has to be updated each time. This paper presents multiply sectioned Bayesian networks that enable a (localization preserving) representation of natural subdomains by separate Bayesian sub","authors_text":"David L. Poole, Michael P. Beddoes, Yang Xiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-13T12:56:04Z","title":"Exploring Localization in Bayesian Networks for Large Expert Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.5438","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:d6e5ad142e31f8a498481c27e4211dfbf00cc859c7a8e61bc50daa63696d277b","target":"record","created_at":"2026-05-18T03:30:04Z","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":"d0a9fa327629737edcc2cc868d06a5b3f61422e988be3ba75fd1cbf9e7840fc7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-13T12:56:04Z","title_canon_sha256":"cbed12647648e0d2d31ba757ca62b7ba16c77b57341bd3bb14e3fd138f433f1f"},"schema_version":"1.0","source":{"id":"1303.5438","kind":"arxiv","version":1}},"canonical_sha256":"454920f5bc1c49bbb3a52f814fd44010a3dedcf7acffba601bedb28840252307","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"454920f5bc1c49bbb3a52f814fd44010a3dedcf7acffba601bedb28840252307","first_computed_at":"2026-05-18T03:30:04.144776Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:30:04.144776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8YkF9pQKIpFwRejy+djX6wEZGG8IY8ud7ffLVma6i7jFJyERvNKGQyfaT4hiy3bg8f0LBQ5CkY7NVHRbjsNWBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:30:04.145330Z","signed_message":"canonical_sha256_bytes"},"source_id":"1303.5438","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6e5ad142e31f8a498481c27e4211dfbf00cc859c7a8e61bc50daa63696d277b","sha256:5816395481b340bc58ef58bd35abb5033c3bf7118a1a702085264f7c079c640d"],"state_sha256":"367aeea1566132785b6b7d21da972b239aa3ba0b6bfd8306facba1b6e7b6f6e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iCjAMnj8v0ap2V8Zhz8KPIj2hvcehqGk1fNcskfr/NmIL5qw8sEyaaMcdYqNONztWeSW8Gv+lkM7bJCcIuM4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T13:22:53.285644Z","bundle_sha256":"484ec6bfb1ca604293636503cf6a8802d6c8957d32eae37a224e4a406dfdca40"}}