{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:3IRHBQ62RREVZY2CH2WCOENOVF","short_pith_number":"pith:3IRHBQ62","canonical_record":{"source":{"id":"1207.1380","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2012-07-04T16:10:18Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d25e886c68c6ba76056cef8ae13fc9c08cab2103e18a9df1df035ff3539bbe3f","abstract_canon_sha256":"71ce18d4ab959b4268a99cb5686649c0fa6c1e06e0154f4b94b18f7e61c0b2a0"},"schema_version":"1.0"},"canonical_sha256":"da2270c3da8c495ce3423eac2711aea95b47d87a37e105438571bc568f7426cf","source":{"kind":"arxiv","id":"1207.1380","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.1380","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"arxiv_version","alias_value":"1207.1380v1","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.1380","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"pith_short_12","alias_value":"3IRHBQ62RREV","created_at":"2026-05-18T12:26:50Z"},{"alias_kind":"pith_short_16","alias_value":"3IRHBQ62RREVZY2C","created_at":"2026-05-18T12:26:50Z"},{"alias_kind":"pith_short_8","alias_value":"3IRHBQ62","created_at":"2026-05-18T12:26:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:3IRHBQ62RREVZY2CH2WCOENOVF","target":"record","payload":{"canonical_record":{"source":{"id":"1207.1380","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2012-07-04T16:10:18Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d25e886c68c6ba76056cef8ae13fc9c08cab2103e18a9df1df035ff3539bbe3f","abstract_canon_sha256":"71ce18d4ab959b4268a99cb5686649c0fa6c1e06e0154f4b94b18f7e61c0b2a0"},"schema_version":"1.0"},"canonical_sha256":"da2270c3da8c495ce3423eac2711aea95b47d87a37e105438571bc568f7426cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:51:37.514609Z","signature_b64":"vzkXB5NXr0LfV/P4V/hJqXDdMgzDs4bJUnNLnwWf68DrP1I/DvK56bOc8/EMyjTGb4pNdBkeuvClG98QG6itCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da2270c3da8c495ce3423eac2711aea95b47d87a37e105438571bc568f7426cf","last_reissued_at":"2026-05-18T03:51:37.513942Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:51:37.513942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1207.1380","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":"2026-05-18T03:51:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVeU+exYrcBCzrYfnv0sv++G+ggFRZNyI5o3SrV9O7Y70bOQAORwFrOoQ0s8PbXFvqT0M9hb0e7GX1on1OR2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T21:13:50.943043Z"},"content_sha256":"859cd7136888ddd8a9fe4d0daf2345643a509cb4a577acde44009277df9c272d","schema_version":"1.0","event_id":"sha256:859cd7136888ddd8a9fe4d0daf2345643a509cb4a577acde44009277df9c272d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:3IRHBQ62RREVZY2CH2WCOENOVF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.MS","authors_text":"Antti Honkela, Harri Valpola, Juha Karhunen, Markus Harva, Tapani Raiko","submitted_at":"2012-07-04T16:10:18Z","abstract_excerpt":"A software library for constructing and learning probabilistic models is presented. The library offers a set of building blocks from which a large variety of static and dynamic models can be built. These include hierarchical models for variances of other variables and many nonlinear models. The underlying variational Bayesian machinery, providing for fast and robust estimation but being mathematically rather involved, is almost completely hidden from the user thus making it very easy to use the library. The building blocks include Gaussian, rectified Gaussian and mixture-of-Gaussians variables"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.1380","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":"2026-05-18T03:51:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C5/t/tdGY276kyglMZcE2um174HLzjRclEEK23KHWRzo3lzAB6404QcqpFFu/dxpXjop+kPZFTT2+0Ept5k6Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T21:13:50.943666Z"},"content_sha256":"36a06bb063df22851425217901cbd1e9153a204966e41981fcfc0ea644657393","schema_version":"1.0","event_id":"sha256:36a06bb063df22851425217901cbd1e9153a204966e41981fcfc0ea644657393"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3IRHBQ62RREVZY2CH2WCOENOVF/bundle.json","state_url":"https://pith.science/pith/3IRHBQ62RREVZY2CH2WCOENOVF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3IRHBQ62RREVZY2CH2WCOENOVF/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":"2026-05-19T21:13:50Z","links":{"resolver":"https://pith.science/pith/3IRHBQ62RREVZY2CH2WCOENOVF","bundle":"https://pith.science/pith/3IRHBQ62RREVZY2CH2WCOENOVF/bundle.json","state":"https://pith.science/pith/3IRHBQ62RREVZY2CH2WCOENOVF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3IRHBQ62RREVZY2CH2WCOENOVF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:3IRHBQ62RREVZY2CH2WCOENOVF","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":"71ce18d4ab959b4268a99cb5686649c0fa6c1e06e0154f4b94b18f7e61c0b2a0","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2012-07-04T16:10:18Z","title_canon_sha256":"d25e886c68c6ba76056cef8ae13fc9c08cab2103e18a9df1df035ff3539bbe3f"},"schema_version":"1.0","source":{"id":"1207.1380","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.1380","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"arxiv_version","alias_value":"1207.1380v1","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.1380","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"pith_short_12","alias_value":"3IRHBQ62RREV","created_at":"2026-05-18T12:26:50Z"},{"alias_kind":"pith_short_16","alias_value":"3IRHBQ62RREVZY2C","created_at":"2026-05-18T12:26:50Z"},{"alias_kind":"pith_short_8","alias_value":"3IRHBQ62","created_at":"2026-05-18T12:26:50Z"}],"graph_snapshots":[{"event_id":"sha256:36a06bb063df22851425217901cbd1e9153a204966e41981fcfc0ea644657393","target":"graph","created_at":"2026-05-18T03:51:37Z","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 software library for constructing and learning probabilistic models is presented. The library offers a set of building blocks from which a large variety of static and dynamic models can be built. These include hierarchical models for variances of other variables and many nonlinear models. The underlying variational Bayesian machinery, providing for fast and robust estimation but being mathematically rather involved, is almost completely hidden from the user thus making it very easy to use the library. The building blocks include Gaussian, rectified Gaussian and mixture-of-Gaussians variables","authors_text":"Antti Honkela, Harri Valpola, Juha Karhunen, Markus Harva, Tapani Raiko","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2012-07-04T16:10:18Z","title":"Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.1380","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":"sha256:859cd7136888ddd8a9fe4d0daf2345643a509cb4a577acde44009277df9c272d","target":"record","created_at":"2026-05-18T03:51:37Z","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":"71ce18d4ab959b4268a99cb5686649c0fa6c1e06e0154f4b94b18f7e61c0b2a0","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2012-07-04T16:10:18Z","title_canon_sha256":"d25e886c68c6ba76056cef8ae13fc9c08cab2103e18a9df1df035ff3539bbe3f"},"schema_version":"1.0","source":{"id":"1207.1380","kind":"arxiv","version":1}},"canonical_sha256":"da2270c3da8c495ce3423eac2711aea95b47d87a37e105438571bc568f7426cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da2270c3da8c495ce3423eac2711aea95b47d87a37e105438571bc568f7426cf","first_computed_at":"2026-05-18T03:51:37.513942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:51:37.513942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vzkXB5NXr0LfV/P4V/hJqXDdMgzDs4bJUnNLnwWf68DrP1I/DvK56bOc8/EMyjTGb4pNdBkeuvClG98QG6itCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:51:37.514609Z","signed_message":"canonical_sha256_bytes"},"source_id":"1207.1380","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:859cd7136888ddd8a9fe4d0daf2345643a509cb4a577acde44009277df9c272d","sha256:36a06bb063df22851425217901cbd1e9153a204966e41981fcfc0ea644657393"],"state_sha256":"52c27983749d02098529664e9c129dbb2dc9866941be110efdb427c30f9071d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UpnyZ63mznHYBbWV7pc4dINKAYbYvg6ttMqHzzTBsLCB4KOYX2FXHpeOYphA9VE6rWti8wXhC4bK0e7KEjfXAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T21:13:50.945799Z","bundle_sha256":"ff0794d1612a0d623936c544002e35b0b673547206992ce764e3e2a32bf490d7"}}