{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:37JCGQL5FISNIZEWIAWJLPG5IZ","short_pith_number":"pith:37JCGQL5","canonical_record":{"source":{"id":"2311.17355","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-29T05:04:52Z","cross_cats_sorted":[],"title_canon_sha256":"df8410a93f364611ce8b346eab0abf58f96c34fafa6e83133d08068bb182bfa3","abstract_canon_sha256":"dcf9752a3852f7803b6834c24cb0da40bd7fbb1a9b223656a751203349be169e"},"schema_version":"1.0"},"canonical_sha256":"dfd223417d2a24d46496402c95bcdd467d2c2abeebc22b2c634a1925e3b0b8b5","source":{"kind":"arxiv","id":"2311.17355","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17355","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17355v1","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17355","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"pith_short_12","alias_value":"37JCGQL5FISN","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"pith_short_16","alias_value":"37JCGQL5FISNIZEW","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"pith_short_8","alias_value":"37JCGQL5","created_at":"2026-07-05T07:18:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:37JCGQL5FISNIZEWIAWJLPG5IZ","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17355","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-29T05:04:52Z","cross_cats_sorted":[],"title_canon_sha256":"df8410a93f364611ce8b346eab0abf58f96c34fafa6e83133d08068bb182bfa3","abstract_canon_sha256":"dcf9752a3852f7803b6834c24cb0da40bd7fbb1a9b223656a751203349be169e"},"schema_version":"1.0"},"canonical_sha256":"dfd223417d2a24d46496402c95bcdd467d2c2abeebc22b2c634a1925e3b0b8b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:02.012787Z","signature_b64":"/ljruNThz3VbOePV8Wi07EBQC0SbMeMOrW2cnsxjy1Tr2KuVboUW+bQau3sWiYm2PNSn7Y1TCm0Nm/YhLcmPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dfd223417d2a24d46496402c95bcdd467d2c2abeebc22b2c634a1925e3b0b8b5","last_reissued_at":"2026-07-05T07:18:02.012348Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:02.012348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17355","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:18:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ePDdLmoX47SOwe7VqlMnjOuFqkrn+XCd2T6FZ0WfaufIEADLIZOPEMdlXktna1xtga/JEZibTHu24oSRVoRuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:16:48.896648Z"},"content_sha256":"876494176b8a771afeb12948b78811c218830b27ee942c2f346a5f1282aa7d92","schema_version":"1.0","event_id":"sha256:876494176b8a771afeb12948b78811c218830b27ee942c2f346a5f1282aa7d92"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:37JCGQL5FISNIZEWIAWJLPG5IZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Are Large Language Models Good Fact Checkers: A Preliminary Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Han Cao, Lingwei Wei, Mengyang Chen, Songlin Hu, Wei Zhou","submitted_at":"2023-11-29T05:04:52Z","abstract_excerpt":"Recently, Large Language Models (LLMs) have drawn significant attention due to their outstanding reasoning capabilities and extensive knowledge repository, positioning them as superior in handling various natural language processing tasks compared to other language models. In this paper, we present a preliminary investigation into the potential of LLMs in fact-checking. This study aims to comprehensively evaluate various LLMs in tackling specific fact-checking subtasks, systematically evaluating their capabilities, and conducting a comparative analysis of their performance against pre-trained "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17355","kind":"arxiv","version":1},"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/2311.17355/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":"2026-07-05T07:18:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"luLVvHCMxJT73ohkKKcpsqrX2edDhASW4+5JFxu0ougBEaMh0cffvwIQ+SqAj8HJPoUliW7SYDVmmf8xJOYdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:16:48.901354Z"},"content_sha256":"cf0e7b5e25eb92f07c229992417af89e3fb6434cf255e41fc7fcfd40f58c7567","schema_version":"1.0","event_id":"sha256:cf0e7b5e25eb92f07c229992417af89e3fb6434cf255e41fc7fcfd40f58c7567"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/37JCGQL5FISNIZEWIAWJLPG5IZ/bundle.json","state_url":"https://pith.science/pith/37JCGQL5FISNIZEWIAWJLPG5IZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/37JCGQL5FISNIZEWIAWJLPG5IZ/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":"2026-08-08T14:16:48Z","links":{"resolver":"https://pith.science/pith/37JCGQL5FISNIZEWIAWJLPG5IZ","bundle":"https://pith.science/pith/37JCGQL5FISNIZEWIAWJLPG5IZ/bundle.json","state":"https://pith.science/pith/37JCGQL5FISNIZEWIAWJLPG5IZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/37JCGQL5FISNIZEWIAWJLPG5IZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:37JCGQL5FISNIZEWIAWJLPG5IZ","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":"dcf9752a3852f7803b6834c24cb0da40bd7fbb1a9b223656a751203349be169e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-29T05:04:52Z","title_canon_sha256":"df8410a93f364611ce8b346eab0abf58f96c34fafa6e83133d08068bb182bfa3"},"schema_version":"1.0","source":{"id":"2311.17355","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17355","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17355v1","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17355","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"pith_short_12","alias_value":"37JCGQL5FISN","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"pith_short_16","alias_value":"37JCGQL5FISNIZEW","created_at":"2026-07-05T07:18:02Z"},{"alias_kind":"pith_short_8","alias_value":"37JCGQL5","created_at":"2026-07-05T07:18:02Z"}],"graph_snapshots":[{"event_id":"sha256:cf0e7b5e25eb92f07c229992417af89e3fb6434cf255e41fc7fcfd40f58c7567","target":"graph","created_at":"2026-07-05T07:18:02Z","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/2311.17355/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Large Language Models (LLMs) have drawn significant attention due to their outstanding reasoning capabilities and extensive knowledge repository, positioning them as superior in handling various natural language processing tasks compared to other language models. In this paper, we present a preliminary investigation into the potential of LLMs in fact-checking. This study aims to comprehensively evaluate various LLMs in tackling specific fact-checking subtasks, systematically evaluating their capabilities, and conducting a comparative analysis of their performance against pre-trained ","authors_text":"Han Cao, Lingwei Wei, Mengyang Chen, Songlin Hu, Wei Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-29T05:04:52Z","title":"Are Large Language Models Good Fact Checkers: A Preliminary Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17355","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":"sha256:876494176b8a771afeb12948b78811c218830b27ee942c2f346a5f1282aa7d92","target":"record","created_at":"2026-07-05T07:18:02Z","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":"dcf9752a3852f7803b6834c24cb0da40bd7fbb1a9b223656a751203349be169e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-29T05:04:52Z","title_canon_sha256":"df8410a93f364611ce8b346eab0abf58f96c34fafa6e83133d08068bb182bfa3"},"schema_version":"1.0","source":{"id":"2311.17355","kind":"arxiv","version":1}},"canonical_sha256":"dfd223417d2a24d46496402c95bcdd467d2c2abeebc22b2c634a1925e3b0b8b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dfd223417d2a24d46496402c95bcdd467d2c2abeebc22b2c634a1925e3b0b8b5","first_computed_at":"2026-07-05T07:18:02.012348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:02.012348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/ljruNThz3VbOePV8Wi07EBQC0SbMeMOrW2cnsxjy1Tr2KuVboUW+bQau3sWiYm2PNSn7Y1TCm0Nm/YhLcmPDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:02.012787Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17355","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:876494176b8a771afeb12948b78811c218830b27ee942c2f346a5f1282aa7d92","sha256:cf0e7b5e25eb92f07c229992417af89e3fb6434cf255e41fc7fcfd40f58c7567"],"state_sha256":"ac698a12c9030c37e1f53365960f08ca17ac28d5a54ee96cd2562abbf95bac78"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dRLXe7JTWq6xvppgNBmmRThcenbv2MOGpnA7oLn1zMCm7d8ap4CmyyhcIY5c/q4exVMMdat4I0hjkqmRsE6vAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:16:48.908101Z","bundle_sha256":"dc4c641f905a3446b687431c6f02199ced3ee7f534f5e936b6dbd412b059590e"}}