{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:VWCU57U4HNPHFX2YVYBZD4CNPJ","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":"5cb7a4a2fa282ab469fab6877abfe41ad127143f78e7e300de9cc100c689560e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-10T17:26:40Z","title_canon_sha256":"7632c1720945ccfb026a384f5199f3da0b0d7f60ea4a8fcf45847c5ab3fa43c3"},"schema_version":"1.0","source":{"id":"1403.2310","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.2310","created_at":"2026-05-18T00:24:32Z"},{"alias_kind":"arxiv_version","alias_value":"1403.2310v4","created_at":"2026-05-18T00:24:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.2310","created_at":"2026-05-18T00:24:32Z"},{"alias_kind":"pith_short_12","alias_value":"VWCU57U4HNPH","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"VWCU57U4HNPHFX2Y","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"VWCU57U4","created_at":"2026-05-18T12:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:6e6b8906dc92474fb3896641c3a3d5a719b3c7aec9f6de571da811cc1a8551b6","target":"graph","created_at":"2026-05-18T00:24:32Z","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":"Bayesian networks, with structure given by a directed acyclic graph (DAG), are a popular class of graphical models. However, learning Bayesian networks from discrete or categorical data is particularly challenging, due to the large parameter space and the difficulty in searching for a sparse structure. In this article, we develop a maximum penalized likelihood method to tackle this problem. Instead of the commonly used multinomial distribution, we model the conditional distribution of a node given its parents by multi-logit regression, in which an edge is parameterized by a set of coefficient ","authors_text":"Fei Fu, Jiaying Gu, Qing Zhou","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-10T17:26:40Z","title":"Penalized Estimation of Directed Acyclic Graphs From Discrete Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.2310","kind":"arxiv","version":4},"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:b96c3f6bc3942170b99f8d6afb45982ddd681ab38b42f8d04255ac8e57d70142","target":"record","created_at":"2026-05-18T00:24:32Z","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":"5cb7a4a2fa282ab469fab6877abfe41ad127143f78e7e300de9cc100c689560e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-10T17:26:40Z","title_canon_sha256":"7632c1720945ccfb026a384f5199f3da0b0d7f60ea4a8fcf45847c5ab3fa43c3"},"schema_version":"1.0","source":{"id":"1403.2310","kind":"arxiv","version":4}},"canonical_sha256":"ad854efe9c3b5e72df58ae0391f04d7a68181e5cfba6bfcb2e4e340b72434f74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad854efe9c3b5e72df58ae0391f04d7a68181e5cfba6bfcb2e4e340b72434f74","first_computed_at":"2026-05-18T00:24:32.163902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:32.163902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AQgVEWmcw1C38cub196UfF7wls3fvo0l4aAh6FAAYqs3h2kQMjqpP9agnNUr85DIWv9AL91IQCOnnetu0ZoyBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:32.164404Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.2310","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b96c3f6bc3942170b99f8d6afb45982ddd681ab38b42f8d04255ac8e57d70142","sha256:6e6b8906dc92474fb3896641c3a3d5a719b3c7aec9f6de571da811cc1a8551b6"],"state_sha256":"265254894c39c635029c5d2fa7f59baa774b01817ae322fd7fdf492b949b44ed"}