{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BBFQORNWQJNN7SR5LS5RJDENCR","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":"39290ce506043a4b8f157006025130ca733236e14c6430886ac9d6af0e25dc19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-11-20T11:43:20Z","title_canon_sha256":"0384c649f120bd05757ed49514c4fe356074efe847831ce81715c270bdb4c297"},"schema_version":"1.0","source":{"id":"2311.11689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11689","created_at":"2026-07-05T07:14:37Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11689v1","created_at":"2026-07-05T07:14:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11689","created_at":"2026-07-05T07:14:37Z"},{"alias_kind":"pith_short_12","alias_value":"BBFQORNWQJNN","created_at":"2026-07-05T07:14:37Z"},{"alias_kind":"pith_short_16","alias_value":"BBFQORNWQJNN7SR5","created_at":"2026-07-05T07:14:37Z"},{"alias_kind":"pith_short_8","alias_value":"BBFQORNW","created_at":"2026-07-05T07:14:37Z"}],"graph_snapshots":[{"event_id":"sha256:9a9906688c0a324f8c63ca8cb47abf00bb7ed77fd763e50f42536fbd29c68df0","target":"graph","created_at":"2026-07-05T07:14:37Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2311.11689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Causal discovery from observational data is pivotal for deciphering complex relationships. Causal Structure Learning (CSL), which focuses on deriving causal Directed Acyclic Graphs (DAGs) from data, faces challenges due to vast DAG spaces and data sparsity. The integration of Large Language Models (LLMs), recognized for their causal reasoning capabilities, offers a promising direction to enhance CSL by infusing it with knowledge-based causal inferences. However, existing approaches utilizing LLMs for CSL have encountered issues, including unreliable constraints from imperfect LLM inferences an","authors_text":"Derui Lyu, Huanhuan Chen, Lyuzhou Chen, Taiyu Ban, Xiangyu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-11-20T11:43:20Z","title":"Causal Structure Learning Supervised by Large Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11689","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":"sha256:2bde4e2fbb28104871f0b35e1d9225126a1168b8845b1cdadaf6f1f2c7d52740","target":"record","created_at":"2026-07-05T07:14:37Z","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":"39290ce506043a4b8f157006025130ca733236e14c6430886ac9d6af0e25dc19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-11-20T11:43:20Z","title_canon_sha256":"0384c649f120bd05757ed49514c4fe356074efe847831ce81715c270bdb4c297"},"schema_version":"1.0","source":{"id":"2311.11689","kind":"arxiv","version":1}},"canonical_sha256":"084b0745b6825adfca3d5cbb148c8d14640cfda05c87c84198a3c7d805ea99e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"084b0745b6825adfca3d5cbb148c8d14640cfda05c87c84198a3c7d805ea99e2","first_computed_at":"2026-07-05T07:14:37.612507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:37.612507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Eg6GEy/Bb40vUmkFQbs5Nx4tW7WyztpY5C2v8iVDNyNqqCrgXEuXGCTbBgKygmjLIPb9MRPx4lYoHLgYZQ+VDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:37.613026Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.11689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2bde4e2fbb28104871f0b35e1d9225126a1168b8845b1cdadaf6f1f2c7d52740","sha256:9a9906688c0a324f8c63ca8cb47abf00bb7ed77fd763e50f42536fbd29c68df0"],"state_sha256":"33f97247284b756c9d5b09339e83c349c443589524ce2b8f1b3e8cfd94cdaf26"}