{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:53XSQA62FF4UAD76BXI44ZJUPE","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":"7c7d980b8b70ecd208e28dbcdd83c8e357dfb87d6cc176c0c1ca04663063d257","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-09T17:47:17Z","title_canon_sha256":"e8e0a623892c19c480beff5eddd8360bd380c899b712fa7510e002df83a3242b"},"schema_version":"1.0","source":{"id":"2501.05498","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05498","created_at":"2026-07-05T09:59:24Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05498v1","created_at":"2026-07-05T09:59:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05498","created_at":"2026-07-05T09:59:24Z"},{"alias_kind":"pith_short_12","alias_value":"53XSQA62FF4U","created_at":"2026-07-05T09:59:24Z"},{"alias_kind":"pith_short_16","alias_value":"53XSQA62FF4UAD76","created_at":"2026-07-05T09:59:24Z"},{"alias_kind":"pith_short_8","alias_value":"53XSQA62","created_at":"2026-07-05T09:59:24Z"}],"graph_snapshots":[{"event_id":"sha256:dbc6813831f354bd5eae3d2ee415b6cd6b51270e74d9193a230e7a92e270ee20","target":"graph","created_at":"2026-07-05T09:59:24Z","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/2501.05498/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Without any assumptions about data generation, multiple causal models may explain our observations equally well. To avoid selecting a single arbitrary model that could result in unsafe decisions if it does not match reality, it is therefore essential to maintain a notion of epistemic uncertainty about our possible candidates. This thesis studies the problem of structure learning from a Bayesian perspective, approximating the posterior distribution over the structure of a causal model, represented as a directed acyclic graph (DAG), given data. It introduces Generative Flow Networks (GFlowNets),","authors_text":"Tristan Deleu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-09T17:47:17Z","title":"Generative Flow Networks: Theory and Applications to Structure Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05498","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":"sha256:466e390125a49b16bb97de5ff70fcfeab46a7d2ac7578e234e1d839b71a1d44a","target":"record","created_at":"2026-07-05T09:59:24Z","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":"7c7d980b8b70ecd208e28dbcdd83c8e357dfb87d6cc176c0c1ca04663063d257","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-09T17:47:17Z","title_canon_sha256":"e8e0a623892c19c480beff5eddd8360bd380c899b712fa7510e002df83a3242b"},"schema_version":"1.0","source":{"id":"2501.05498","kind":"arxiv","version":1}},"canonical_sha256":"eeef2803da2979400ffe0dd1ce65347936a5dd04110daf8fbc99ea342cc52479","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eeef2803da2979400ffe0dd1ce65347936a5dd04110daf8fbc99ea342cc52479","first_computed_at":"2026-07-05T09:59:24.346976Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:24.346976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i/klUGyR3nNq7MCJz4d0TQjBlbbA4+Tl9Op9f62xD+fuLH9t12rXYR9AZ5Mni8LFDfL0Zz7Zi5J81Y4/CKywDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:24.347354Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.05498","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:466e390125a49b16bb97de5ff70fcfeab46a7d2ac7578e234e1d839b71a1d44a","sha256:dbc6813831f354bd5eae3d2ee415b6cd6b51270e74d9193a230e7a92e270ee20"],"state_sha256":"e0d13d7d4bc32ecf92ca45bebab87b04b5ef8011e4937d4f0bd4f6b14c058d0a"}