{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QDVTIULL24QV5SUGXCJ23HO4DG","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":"eaf556c1a25916115ac67add05170ca51eebc1773717659233d5282458ee0951","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-14T00:45:24Z","title_canon_sha256":"74bf44321a95a34b756108badab7275b9d99bc8e991c803e1b73b803617bf307"},"schema_version":"1.0","source":{"id":"2403.09017","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09017","created_at":"2026-07-05T09:31:00Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09017v3","created_at":"2026-07-05T09:31:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09017","created_at":"2026-07-05T09:31:00Z"},{"alias_kind":"pith_short_12","alias_value":"QDVTIULL24QV","created_at":"2026-07-05T09:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"QDVTIULL24QV5SUG","created_at":"2026-07-05T09:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"QDVTIULL","created_at":"2026-07-05T09:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:0c12d493f31df3c7dc2040bc4e8f09fcf9d373f3f000d3a18fbdccc69117080a","target":"graph","created_at":"2026-07-05T09:31:00Z","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/2403.09017/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The swift progress and widespread acceptance of artificial intelligence (AI) systems highlight a pressing requirement to comprehend both the capabilities and potential risks associated with AI. Given the linguistic complexity, cultural richness, and underrepresented status of Arabic in AI research, there is a pressing need to focus on Large Language Models (LLMs) performance and safety for Arabic-related tasks. Despite some progress in their development, there is a lack of comprehensive trustworthiness evaluation benchmarks, which presents a major challenge in accurately assessing and improvin","authors_text":"Afnan Y. Alomairi, Ahmed Ashraf, Deema Alnuhait, Emad A. Alghamdi, Mohamed Zaytoon, Reem I. Masoud","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-14T00:45:24Z","title":"AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09017","kind":"arxiv","version":3},"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:d5decc47c8cf67ea2824c6ba4b3a6f13623d2cfacc49ecd0a8c5be8bce5351b9","target":"record","created_at":"2026-07-05T09:31:00Z","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":"eaf556c1a25916115ac67add05170ca51eebc1773717659233d5282458ee0951","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-14T00:45:24Z","title_canon_sha256":"74bf44321a95a34b756108badab7275b9d99bc8e991c803e1b73b803617bf307"},"schema_version":"1.0","source":{"id":"2403.09017","kind":"arxiv","version":3}},"canonical_sha256":"80eb34516bd7215eca86b893ad9ddc19af269894987329845ba8b6802181e7f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80eb34516bd7215eca86b893ad9ddc19af269894987329845ba8b6802181e7f1","first_computed_at":"2026-07-05T09:31:00.254663Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:00.254663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5ZqMKNbiixtHlcvvUf9szxCz6TDSv0PzOXogm+OFX5sNw3uM78YtBww9GR7IjASIfLEwdxfIMT1Wu5bLpU29Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:00.255160Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09017","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5decc47c8cf67ea2824c6ba4b3a6f13623d2cfacc49ecd0a8c5be8bce5351b9","sha256:0c12d493f31df3c7dc2040bc4e8f09fcf9d373f3f000d3a18fbdccc69117080a"],"state_sha256":"c7f0b907c95ef9fe044e067fc09f439ec3c4efeef73a352a25a72fa9c3b83bf4"}