{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I6G2FRCAGUMYJDHVOMBPGTA27Q","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":"c62416936328eeca01674dd135550de1cc993d3dff99af829983271aa7d07d38","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-31T17:38:33Z","title_canon_sha256":"b9bedd9a58b674bee5290d1e38846e2634cf49243dd2e1c83adfe8fa2157d2ee"},"schema_version":"1.0","source":{"id":"2404.00750","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.00750","created_at":"2026-07-05T09:15:31Z"},{"alias_kind":"arxiv_version","alias_value":"2404.00750v2","created_at":"2026-07-05T09:15:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.00750","created_at":"2026-07-05T09:15:31Z"},{"alias_kind":"pith_short_12","alias_value":"I6G2FRCAGUMY","created_at":"2026-07-05T09:15:31Z"},{"alias_kind":"pith_short_16","alias_value":"I6G2FRCAGUMYJDHV","created_at":"2026-07-05T09:15:31Z"},{"alias_kind":"pith_short_8","alias_value":"I6G2FRCA","created_at":"2026-07-05T09:15:31Z"}],"graph_snapshots":[{"event_id":"sha256:43a967fc56418e46d6efcf9829ae3bec348dd0649fa1162173d649083be98d76","target":"graph","created_at":"2026-07-05T09:15:31Z","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/2404.00750/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The capabilities of large language models (LLMs) have raised concerns about their potential to create and propagate convincing narratives. Here, we study their performance in detecting convincing arguments to gain insights into LLMs' persuasive capabilities without directly engaging in experimentation with humans. We extend a dataset by Durmus and Cardie (2018) with debates, votes, and user traits and propose tasks measuring LLMs' ability to (1) distinguish between strong and weak arguments, (2) predict stances based on beliefs and demographic characteristics, and (3) determine the appeal of a","authors_text":"Manoel Horta Ribeiro, Paula Rescala, Robert West, Tiancheng Hu","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-31T17:38:33Z","title":"Can Language Models Recognize Convincing Arguments?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.00750","kind":"arxiv","version":2},"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:bfa7a50757639e968c80c12938fc42e2260bcd47b7f732a19f1ad336f454ae39","target":"record","created_at":"2026-07-05T09:15:31Z","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":"c62416936328eeca01674dd135550de1cc993d3dff99af829983271aa7d07d38","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-31T17:38:33Z","title_canon_sha256":"b9bedd9a58b674bee5290d1e38846e2634cf49243dd2e1c83adfe8fa2157d2ee"},"schema_version":"1.0","source":{"id":"2404.00750","kind":"arxiv","version":2}},"canonical_sha256":"478da2c4403519848cf57302f34c1afc14447d91c17f0cc4f27ae18100b7d0c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"478da2c4403519848cf57302f34c1afc14447d91c17f0cc4f27ae18100b7d0c9","first_computed_at":"2026-07-05T09:15:31.010707Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:31.010707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gYiFWMtdKVlh+opZrCB2OuBi2q8Km3JLbgqtPoU7Y+szD5ZEpA+7e7JSMCa1xQ2fWWO03RmX8clogxApkmmGAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:31.011160Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.00750","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bfa7a50757639e968c80c12938fc42e2260bcd47b7f732a19f1ad336f454ae39","sha256:43a967fc56418e46d6efcf9829ae3bec348dd0649fa1162173d649083be98d76"],"state_sha256":"38d26c3146c2a2823ce8dd84ac7b967771cc91d0ffdd5008f282923fb68e6808"}