{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:D554OGV3U7SGOVBXPIUKVHPFR2","short_pith_number":"pith:D554OGV3","canonical_record":{"source":{"id":"2105.11839","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-25T11:23:08Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"7b41ace77d909a56ce9b802c561954e6b7a00a8428e6704f3b7fff63507e4025","abstract_canon_sha256":"d89cd98ab2e8fb9c4bee092f2e116fc99bb6bb6c05631aa51da69e8a8eaabcb5"},"schema_version":"1.0"},"canonical_sha256":"1f7bc71abba7e46754377a28aa9de58ebc3a8d2c51d1fa84d137f7631ad00296","source":{"kind":"arxiv","id":"2105.11839","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.11839","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"arxiv_version","alias_value":"2105.11839v3","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.11839","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"pith_short_12","alias_value":"D554OGV3U7SG","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"pith_short_16","alias_value":"D554OGV3U7SGOVBX","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"pith_short_8","alias_value":"D554OGV3","created_at":"2026-07-05T03:41:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:D554OGV3U7SGOVBXPIUKVHPFR2","target":"record","payload":{"canonical_record":{"source":{"id":"2105.11839","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-25T11:23:08Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"7b41ace77d909a56ce9b802c561954e6b7a00a8428e6704f3b7fff63507e4025","abstract_canon_sha256":"d89cd98ab2e8fb9c4bee092f2e116fc99bb6bb6c05631aa51da69e8a8eaabcb5"},"schema_version":"1.0"},"canonical_sha256":"1f7bc71abba7e46754377a28aa9de58ebc3a8d2c51d1fa84d137f7631ad00296","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:41:25.210068Z","signature_b64":"p8Abg94KuCWtTo6J7Ph3DxWqp3hik1lisy+PlYEEaZUiW6fKmtu7W53PIX3Dw2f0tcLWXn1hMEWYN3J57XoGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f7bc71abba7e46754377a28aa9de58ebc3a8d2c51d1fa84d137f7631ad00296","last_reissued_at":"2026-07-05T03:41:25.209660Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:41:25.209660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.11839","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:41:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0J4I4YviWP/iWX4gDxcPCAhnqzjx6JKEW/RBTJEQn9umWmEfvNW/j8h4p9HMx17a8dOvBefVvejO4Ys8gAK/Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T16:04:58.182783Z"},"content_sha256":"dcb06c26b56166708a72a5903e7560f72293bb353d7012d944e27ef5e5479d7a","schema_version":"1.0","event_id":"sha256:dcb06c26b56166708a72a5903e7560f72293bb353d7012d944e27ef5e5479d7a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:D554OGV3U7SGOVBXPIUKVHPFR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiBS: Differentiable Bayesian Structure Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Andreas Krause, Bernhard Sch\\\"olkopf, Jonas Rothfuss, Lars Lorch","submitted_at":"2021-05-25T11:23:08Z","abstract_excerpt":"Bayesian structure learning allows inferring Bayesian network structure from data while reasoning about the epistemic uncertainty -- a key element towards enabling active causal discovery and designing interventions in real world systems. In this work, we propose a general, fully differentiable framework for Bayesian structure learning (DiBS) that operates in the continuous space of a latent probabilistic graph representation. Contrary to existing work, DiBS is agnostic to the form of the local conditional distributions and allows for joint posterior inference of both the graph structure and t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.11839","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2105.11839/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:41:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q3kHS0ddxsDRKluOlnq0nUVINwtX8erIG/gcVTE5GiRnKXd4CbszaQkWz0N90KWyxXaWBX2MsjB02v9KhyH9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T16:04:58.183507Z"},"content_sha256":"05ba623c94f02f2447ebc6086616b389716f9b8086b4b189881571b672a986c3","schema_version":"1.0","event_id":"sha256:05ba623c94f02f2447ebc6086616b389716f9b8086b4b189881571b672a986c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D554OGV3U7SGOVBXPIUKVHPFR2/bundle.json","state_url":"https://pith.science/pith/D554OGV3U7SGOVBXPIUKVHPFR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D554OGV3U7SGOVBXPIUKVHPFR2/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":"2026-08-19T16:04:58Z","links":{"resolver":"https://pith.science/pith/D554OGV3U7SGOVBXPIUKVHPFR2","bundle":"https://pith.science/pith/D554OGV3U7SGOVBXPIUKVHPFR2/bundle.json","state":"https://pith.science/pith/D554OGV3U7SGOVBXPIUKVHPFR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D554OGV3U7SGOVBXPIUKVHPFR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:D554OGV3U7SGOVBXPIUKVHPFR2","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":"d89cd98ab2e8fb9c4bee092f2e116fc99bb6bb6c05631aa51da69e8a8eaabcb5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-25T11:23:08Z","title_canon_sha256":"7b41ace77d909a56ce9b802c561954e6b7a00a8428e6704f3b7fff63507e4025"},"schema_version":"1.0","source":{"id":"2105.11839","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.11839","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"arxiv_version","alias_value":"2105.11839v3","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.11839","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"pith_short_12","alias_value":"D554OGV3U7SG","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"pith_short_16","alias_value":"D554OGV3U7SGOVBX","created_at":"2026-07-05T03:41:25Z"},{"alias_kind":"pith_short_8","alias_value":"D554OGV3","created_at":"2026-07-05T03:41:25Z"}],"graph_snapshots":[{"event_id":"sha256:05ba623c94f02f2447ebc6086616b389716f9b8086b4b189881571b672a986c3","target":"graph","created_at":"2026-07-05T03:41:25Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2105.11839/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bayesian structure learning allows inferring Bayesian network structure from data while reasoning about the epistemic uncertainty -- a key element towards enabling active causal discovery and designing interventions in real world systems. In this work, we propose a general, fully differentiable framework for Bayesian structure learning (DiBS) that operates in the continuous space of a latent probabilistic graph representation. Contrary to existing work, DiBS is agnostic to the form of the local conditional distributions and allows for joint posterior inference of both the graph structure and t","authors_text":"Andreas Krause, Bernhard Sch\\\"olkopf, Jonas Rothfuss, Lars Lorch","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-25T11:23:08Z","title":"DiBS: Differentiable Bayesian Structure Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.11839","kind":"arxiv","version":3},"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:dcb06c26b56166708a72a5903e7560f72293bb353d7012d944e27ef5e5479d7a","target":"record","created_at":"2026-07-05T03:41:25Z","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":"d89cd98ab2e8fb9c4bee092f2e116fc99bb6bb6c05631aa51da69e8a8eaabcb5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-25T11:23:08Z","title_canon_sha256":"7b41ace77d909a56ce9b802c561954e6b7a00a8428e6704f3b7fff63507e4025"},"schema_version":"1.0","source":{"id":"2105.11839","kind":"arxiv","version":3}},"canonical_sha256":"1f7bc71abba7e46754377a28aa9de58ebc3a8d2c51d1fa84d137f7631ad00296","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f7bc71abba7e46754377a28aa9de58ebc3a8d2c51d1fa84d137f7631ad00296","first_computed_at":"2026-07-05T03:41:25.209660Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:41:25.209660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p8Abg94KuCWtTo6J7Ph3DxWqp3hik1lisy+PlYEEaZUiW6fKmtu7W53PIX3Dw2f0tcLWXn1hMEWYN3J57XoGBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:41:25.210068Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.11839","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dcb06c26b56166708a72a5903e7560f72293bb353d7012d944e27ef5e5479d7a","sha256:05ba623c94f02f2447ebc6086616b389716f9b8086b4b189881571b672a986c3"],"state_sha256":"6bae3deebe9c3e08d98154c66973e0e7209e61a8c103282b1b5b879b6c8ce359"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"olrdktjN1bu9TfP3OnojqU7kKJvhHpuj68xrY1gd/0xw5kKqlBDcQUeElMNJEKUZ9OUcnLhQbpW9LiBIQdx2CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T16:04:58.188653Z","bundle_sha256":"927ef916dc03d7cf8fde97bcffe542c2fe78472809ca57448397665e813e7f0e"}}