{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LNTHBXQKOJS4X2UBL6DDFBQLBN","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":"91f1d1840cee5712d5a299dc271ef292b68096937f82eecf5dfbb5c18f1ad619","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-24T15:27:25Z","title_canon_sha256":"b585c3e3d80dd164a4f0391a9bcff4e72d66c65365aa0aba92894aabb9ec63da"},"schema_version":"1.0","source":{"id":"2404.15923","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15923","created_at":"2026-07-05T08:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15923v1","created_at":"2026-07-05T08:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15923","created_at":"2026-07-05T08:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"LNTHBXQKOJS4","created_at":"2026-07-05T08:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"LNTHBXQKOJS4X2UB","created_at":"2026-07-05T08:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"LNTHBXQK","created_at":"2026-07-05T08:11:47Z"}],"graph_snapshots":[{"event_id":"sha256:59f0dc1b592b7205fd615c400a3c6f8751a5501b7b983ddc27bd1c3eafc42b20","target":"graph","created_at":"2026-07-05T08:11:47Z","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/2404.15923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study explores the use of Large Language Models (LLMs) for automatic evaluation of knowledge graph (KG) completion models. Historically, validating information in KGs has been a challenging task, requiring large-scale human annotation at prohibitive cost. With the emergence of general-purpose generative AI and LLMs, it is now plausible that human-in-the-loop validation could be replaced by a generative agent. We introduce a framework for consistency and validation when using generative models to validate knowledge graphs. Our framework is based upon recent open-source developments for str","authors_text":"Chris Hokamp, Demian Gholipour Ghalandari, Dominic Thorn, Jack Boylan, Parsa Ghaffari, Shashank Mangla","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-24T15:27:25Z","title":"KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15923","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":"sha256:089489c82766040c72f31d3b73fcd5345f7ef7379b07787809e496c5cdb812e7","target":"record","created_at":"2026-07-05T08:11:47Z","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":"91f1d1840cee5712d5a299dc271ef292b68096937f82eecf5dfbb5c18f1ad619","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-24T15:27:25Z","title_canon_sha256":"b585c3e3d80dd164a4f0391a9bcff4e72d66c65365aa0aba92894aabb9ec63da"},"schema_version":"1.0","source":{"id":"2404.15923","kind":"arxiv","version":1}},"canonical_sha256":"5b6670de0a7265cbea815f8632860b0b5d9becdacda7d597b71d9b475e708f56","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b6670de0a7265cbea815f8632860b0b5d9becdacda7d597b71d9b475e708f56","first_computed_at":"2026-07-05T08:11:47.505811Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:47.505811Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"poE3BLHawPLXuFim7Ql194mUTkncAxAlxfcJR6BTFQlzZYosS88D6j6AVqfvBnM6OujMbkFYLN7CQKlp3cV5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:47.506298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.15923","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:089489c82766040c72f31d3b73fcd5345f7ef7379b07787809e496c5cdb812e7","sha256:59f0dc1b592b7205fd615c400a3c6f8751a5501b7b983ddc27bd1c3eafc42b20"],"state_sha256":"b5595f65e719abb6cf9ab347c6b75c83bde12dca7f0e6d6d5a3be3e3048b319a"}