{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ELV6VVAWFD2RXF5OTHYHY7X2SX","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":"17d1068a845d6cc0930fbbf93624067c3f306633fbfa037ab60ada5390420a3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-01-21T09:50:34Z","title_canon_sha256":"676b7bec3709fb787f89dabd524c54f4b2c5f0f8501889b111246ec58fe54bc0"},"schema_version":"1.0","source":{"id":"1501.05108","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1501.05108","created_at":"2026-05-17T23:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"1501.05108v6","created_at":"2026-05-17T23:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.05108","created_at":"2026-05-17T23:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"ELV6VVAWFD2R","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"ELV6VVAWFD2RXF5O","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"ELV6VVAW","created_at":"2026-05-18T12:29:19Z"}],"graph_snapshots":[{"event_id":"sha256:418c6b0941f891b92e8db380d28bbff7237c251c4ae9378cd29cdcc40cfa515b","target":"graph","created_at":"2026-05-17T23:46:31Z","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":"Graphical models provide powerful tools to uncover complicated patterns in multivariate data and are commonly used in Bayesian statistics and machine learning. In this paper, we introduce the R package BDgraph which performs Bayesian structure learning for general undirected graphical models (decomposable and non-decomposable) with continuous, discrete, and mixed variables. The package efficiently implements recent improvements in the Bayesian literature, including that of Mohammadi and Wit (2015) and Dobra and Mohammadi (2018). To speed up computations, the computationally intensive tasks hav","authors_text":"Ernst C. Wit, Reza Mohammadi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-01-21T09:50:34Z","title":"BDgraph: An R Package for Bayesian Structure Learning in Graphical Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.05108","kind":"arxiv","version":6},"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":"sha256:4f25348049c7d9a8fd9398ab0a1120b042e6236aa6dcdecd784b5c7c38db6db3","target":"record","created_at":"2026-05-17T23:46:31Z","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":"17d1068a845d6cc0930fbbf93624067c3f306633fbfa037ab60ada5390420a3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-01-21T09:50:34Z","title_canon_sha256":"676b7bec3709fb787f89dabd524c54f4b2c5f0f8501889b111246ec58fe54bc0"},"schema_version":"1.0","source":{"id":"1501.05108","kind":"arxiv","version":6}},"canonical_sha256":"22ebead41628f51b97ae99f07c7efa95ff08774402bdbd136f17a1e0808a706b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22ebead41628f51b97ae99f07c7efa95ff08774402bdbd136f17a1e0808a706b","first_computed_at":"2026-05-17T23:46:31.422153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:31.422153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vCrMiZC+8jff+sGqrRH5P4BM2q5JWBIEhH+b65Wk3C2VPexMyrO9RwT1erxQUDy30tmEAzV3RB37QDZEqn83AA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:31.422850Z","signed_message":"canonical_sha256_bytes"},"source_id":"1501.05108","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f25348049c7d9a8fd9398ab0a1120b042e6236aa6dcdecd784b5c7c38db6db3","sha256:418c6b0941f891b92e8db380d28bbff7237c251c4ae9378cd29cdcc40cfa515b"],"state_sha256":"d7db752b4d792c08188a4ad320710c7dddc7b7bfc85aa1b19a1681a3e83fe1ec"}