{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:XS2HUEMKTAKSLVAIQBPRDBZREV","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":"47a489fa9282dd1f8b08e879857ab947c26261a426303807f34d8e29780ca883","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-02-06T15:55:43Z","title_canon_sha256":"9b6ff355c53292d7d932695cd9a3ba2f377453f69c33cb5baa77863fc6bcb2d4"},"schema_version":"1.0","source":{"id":"1302.1542","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.1542","created_at":"2026-05-18T03:34:23Z"},{"alias_kind":"arxiv_version","alias_value":"1302.1542v1","created_at":"2026-05-18T03:34:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.1542","created_at":"2026-05-18T03:34:23Z"},{"alias_kind":"pith_short_12","alias_value":"XS2HUEMKTAKS","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"XS2HUEMKTAKSLVAI","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"XS2HUEMK","created_at":"2026-05-18T12:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:3e0ba4c8057da99eeacdc7111085bd9d27e77744ce8f84390ebfa1b428efb68d","target":"graph","created_at":"2026-05-18T03:34:23Z","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":"A Bayesian net (BN) is more than a succinct way to encode a probabilistic distribution; it also corresponds to a function used to answer queries.  A BN can therefore be evaluated by the accuracy of the answers it returns.  Many algorithms for learning BNs, however, attempt to optimize another criterion (usually likelihood, possibly augmented with a regularizing term), which is independent of the distribution of queries that are posed.  This paper takes the \"performance criteria\" seriously, and considers the challenge of computing the BN whose performance - read \"accuracy over the distribution ","authors_text":"Adam J. Grove, Dale Schuurmans, Russell Greiner","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-02-06T15:55:43Z","title":"Learning Bayesian Nets that Perform Well"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.1542","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":"sha256:0d4936383512b32905b6afa819befa38634ffe8121bd268073421d15bb44a09e","target":"record","created_at":"2026-05-18T03:34:23Z","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":"47a489fa9282dd1f8b08e879857ab947c26261a426303807f34d8e29780ca883","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-02-06T15:55:43Z","title_canon_sha256":"9b6ff355c53292d7d932695cd9a3ba2f377453f69c33cb5baa77863fc6bcb2d4"},"schema_version":"1.0","source":{"id":"1302.1542","kind":"arxiv","version":1}},"canonical_sha256":"bcb47a118a981525d408805f1187312558d0a193a21dd555ca4df10fb4e5820a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcb47a118a981525d408805f1187312558d0a193a21dd555ca4df10fb4e5820a","first_computed_at":"2026-05-18T03:34:23.841604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:34:23.841604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uzEqU733mlc3gNHtVtFuMVTPm1jJQHwMfgxmFBaWzmwZhOubQjlta+BTeruLpgl+4kS2L086maJ8RJe/JaSOBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:34:23.841987Z","signed_message":"canonical_sha256_bytes"},"source_id":"1302.1542","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d4936383512b32905b6afa819befa38634ffe8121bd268073421d15bb44a09e","sha256:3e0ba4c8057da99eeacdc7111085bd9d27e77744ce8f84390ebfa1b428efb68d"],"state_sha256":"200e96d72ced6a4af313168cbfc1dddbf906dcf76b173d577e7f174372f07587"}