{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:D4W2GH63TCUHZH2VR2B7GWOJJX","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":"e64b6e8871e090634c4fcd60bec4448047e6acce76b53ae50848fed41fee2fd2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2024-10-15T20:58:42Z","title_canon_sha256":"352ba19fcbdd4dfcabfd9b9dd7cba7d0459f8785c482bbdfed252526b39586fd"},"schema_version":"1.0","source":{"id":"2410.12061","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12061","created_at":"2026-07-05T09:26:31Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12061v2","created_at":"2026-07-05T09:26:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12061","created_at":"2026-07-05T09:26:31Z"},{"alias_kind":"pith_short_12","alias_value":"D4W2GH63TCUH","created_at":"2026-07-05T09:26:31Z"},{"alias_kind":"pith_short_16","alias_value":"D4W2GH63TCUHZH2V","created_at":"2026-07-05T09:26:31Z"},{"alias_kind":"pith_short_8","alias_value":"D4W2GH63","created_at":"2026-07-05T09:26:31Z"}],"graph_snapshots":[{"event_id":"sha256:30de790acd8bdb74b5d927f29cdf8f8832313be9a2fa3b548e48567c1af151fe","target":"graph","created_at":"2026-07-05T09:26:31Z","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/2410.12061/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fake news threatens democracy and exacerbates the polarization and divisions in society; therefore, accurately detecting online misinformation is the foundation of addressing this issue. We present CrediRAG, the first fake news detection model that combines language models with access to a rich external political knowledge base with a dense social network to detect fake news across social media at scale. CrediRAG uses a news retriever to initially assign a misinformation score to each post based on the source credibility of similar news articles to the post title content. CrediRAG then improve","authors_text":"Arash Amini, Ashwin Ram, Mustafa Munir, Radu Marculescu, Yigit Ege Bayiz","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2024-10-15T20:58:42Z","title":"CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12061","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":"sha256:90d849453224749734b5a70b60523e6f090d75ed45e42e395ca7adebea80765d","target":"record","created_at":"2026-07-05T09:26:31Z","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":"e64b6e8871e090634c4fcd60bec4448047e6acce76b53ae50848fed41fee2fd2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2024-10-15T20:58:42Z","title_canon_sha256":"352ba19fcbdd4dfcabfd9b9dd7cba7d0459f8785c482bbdfed252526b39586fd"},"schema_version":"1.0","source":{"id":"2410.12061","kind":"arxiv","version":2}},"canonical_sha256":"1f2da31fdb98a87c9f558e83f359c94dc71d2843fe29e5a5dddf3aec9c7d07b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f2da31fdb98a87c9f558e83f359c94dc71d2843fe29e5a5dddf3aec9c7d07b6","first_computed_at":"2026-07-05T09:26:31.187797Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:31.187797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"id8DDn5u84G6NdJU10RzOxkd3un8Elw0D7WlkGgtij7qhaHBSUgUpx1NA5Of6rS85ypVXMRJC7QSprYHeYYEAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:31.188362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12061","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90d849453224749734b5a70b60523e6f090d75ed45e42e395ca7adebea80765d","sha256:30de790acd8bdb74b5d927f29cdf8f8832313be9a2fa3b548e48567c1af151fe"],"state_sha256":"eb52a9423a89e491556119b48c935922f75aa8b8b5d121735d4f53f44db8083e"}