{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:HFT7OQTR7B5BHURF2TDFGHWK5S","short_pith_number":"pith:HFT7OQTR","schema_version":"1.0","canonical_sha256":"3967f74271f87a13d225d4c6531ecaecbb9f568066b7c36d503ed027d4604342","source":{"kind":"arxiv","id":"1303.5718","version":2},"attestation_state":"computed","paper":{"title":"Advances in Probabilistic Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Dan Geiger, David Heckerman","submitted_at":"2013-03-20T15:30:42Z","abstract_excerpt":"This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism that makes explicit use of asymmetric independence to speed up computations, (2) a simplified definition of similarity networks and extensions of their theory, and (3) a generalized representation scheme that encodes more types of asymmetric independence assertions than do similarity networks."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1303.5718","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-20T15:30:42Z","cross_cats_sorted":[],"title_canon_sha256":"4f756fb43c8132eef6a877c9a912daa2d1befcfcf5271bd4811afb966087a26e","abstract_canon_sha256":"293d3bfe274ccea794aa51a75cae48af1542a3bfc64f8f7dbd30b051a376fa09"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:07:32.292854Z","signature_b64":"fttg0wXNZJf7LPuHliDGHTTxrEuaYcmGtNGEnBC6MOsnOgBNfbj79YyBbNAsGdKJ1DaB1y77sXzwJV626HyQAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3967f74271f87a13d225d4c6531ecaecbb9f568066b7c36d503ed027d4604342","last_reissued_at":"2026-05-18T02:07:32.292256Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:07:32.292256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Advances in Probabilistic Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Dan Geiger, David Heckerman","submitted_at":"2013-03-20T15:30:42Z","abstract_excerpt":"This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism that makes explicit use of asymmetric independence to speed up computations, (2) a simplified definition of similarity networks and extensions of their theory, and (3) a generalized representation scheme that encodes more types of asymmetric independence assertions than do similarity networks."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.5718","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1303.5718","created_at":"2026-05-18T02:07:32.292349+00:00"},{"alias_kind":"arxiv_version","alias_value":"1303.5718v2","created_at":"2026-05-18T02:07:32.292349+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.5718","created_at":"2026-05-18T02:07:32.292349+00:00"},{"alias_kind":"pith_short_12","alias_value":"HFT7OQTR7B5B","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_16","alias_value":"HFT7OQTR7B5BHURF","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_8","alias_value":"HFT7OQTR","created_at":"2026-05-18T12:27:46.883200+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S","json":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S.json","graph_json":"https://pith.science/api/pith-number/HFT7OQTR7B5BHURF2TDFGHWK5S/graph.json","events_json":"https://pith.science/api/pith-number/HFT7OQTR7B5BHURF2TDFGHWK5S/events.json","paper":"https://pith.science/paper/HFT7OQTR"},"agent_actions":{"view_html":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S","download_json":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S.json","view_paper":"https://pith.science/paper/HFT7OQTR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1303.5718&json=true","fetch_graph":"https://pith.science/api/pith-number/HFT7OQTR7B5BHURF2TDFGHWK5S/graph.json","fetch_events":"https://pith.science/api/pith-number/HFT7OQTR7B5BHURF2TDFGHWK5S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S/action/storage_attestation","attest_author":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S/action/author_attestation","sign_citation":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S/action/citation_signature","submit_replication":"https://pith.science/pith/HFT7OQTR7B5BHURF2TDFGHWK5S/action/replication_record"}},"created_at":"2026-05-18T02:07:32.292349+00:00","updated_at":"2026-05-18T02:07:32.292349+00:00"}