{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U32KIYXNKX6IC65XSFB3L575KH","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":"96234a5c2aa6cbeaf436c231ca1a8d5630148e959070522bd728f39eebf826a8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-18T02:35:15Z","title_canon_sha256":"5fb6f49714a0f276ccd030d192f897518e46168b490b3b8d7ce3aa5d9683fa83"},"schema_version":"1.0","source":{"id":"2411.11247","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11247","created_at":"2026-07-05T09:36:53Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11247v1","created_at":"2026-07-05T09:36:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11247","created_at":"2026-07-05T09:36:53Z"},{"alias_kind":"pith_short_12","alias_value":"U32KIYXNKX6I","created_at":"2026-07-05T09:36:53Z"},{"alias_kind":"pith_short_16","alias_value":"U32KIYXNKX6IC65X","created_at":"2026-07-05T09:36:53Z"},{"alias_kind":"pith_short_8","alias_value":"U32KIYXN","created_at":"2026-07-05T09:36:53Z"}],"graph_snapshots":[{"event_id":"sha256:b5c35ee6235ead61c4cac9faedede872594d82b127b825e95932b51340a26241","target":"graph","created_at":"2026-07-05T09:36:53Z","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/2411.11247/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose ZeFaV - a zero-shot based fact-checking verification framework to enhance the performance on fact verification task of large language models by leveraging the in-context learning ability of large language models to extract the relations among the entities within a claim, re-organized the information from the evidence in a relationally logical form, and combine the above information with the original evidence to generate the context from which our fact-checking model provide verdicts for the input claims. We conducted empirical experiments to evaluate our approach on t","authors_text":"Hiep Nguyen, Le-Minh Nguyen, Son T. Luu, Trung Vo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-18T02:35:15Z","title":"ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11247","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":"sha256:6a8b31fe28f5afb4821ce5b27aba76f9654f682903171f15b9167c18302f85ec","target":"record","created_at":"2026-07-05T09:36:53Z","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":"96234a5c2aa6cbeaf436c231ca1a8d5630148e959070522bd728f39eebf826a8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-18T02:35:15Z","title_canon_sha256":"5fb6f49714a0f276ccd030d192f897518e46168b490b3b8d7ce3aa5d9683fa83"},"schema_version":"1.0","source":{"id":"2411.11247","kind":"arxiv","version":1}},"canonical_sha256":"a6f4a462ed55fc817bb79143b5f7fd51d8eed96c6353d9df271ca89c2a5dffc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6f4a462ed55fc817bb79143b5f7fd51d8eed96c6353d9df271ca89c2a5dffc9","first_computed_at":"2026-07-05T09:36:53.461463Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:36:53.461463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kWdWOmrKK5qdyR6B1ilfn++xb179THux38tsrAWHmj6/LGjTmSdsTDAQ9ETV54cn4k1S+ESlos4g8HElAJV9BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:36:53.461900Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11247","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a8b31fe28f5afb4821ce5b27aba76f9654f682903171f15b9167c18302f85ec","sha256:b5c35ee6235ead61c4cac9faedede872594d82b127b825e95932b51340a26241"],"state_sha256":"348a21f0bbf7201e9c925b908ba5df240b7e9894d1686c791bf92b5fdac214b6"}