{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HFBP2DS5CINJJJHFUGUDMHTHVA","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":"8b2ea684661fa243b6faf0946104f5c808bc8d95e52fed3376f0ad381533ca31","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-14T18:57:07Z","title_canon_sha256":"3c735e811021b3a7222530cb651e33575fcecf330696f35cf943e73ecf239055"},"schema_version":"1.0","source":{"id":"2508.11021","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11021","created_at":"2026-07-05T11:54:16Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11021v1","created_at":"2026-07-05T11:54:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11021","created_at":"2026-07-05T11:54:16Z"},{"alias_kind":"pith_short_12","alias_value":"HFBP2DS5CINJ","created_at":"2026-07-05T11:54:16Z"},{"alias_kind":"pith_short_16","alias_value":"HFBP2DS5CINJJJHF","created_at":"2026-07-05T11:54:16Z"},{"alias_kind":"pith_short_8","alias_value":"HFBP2DS5","created_at":"2026-07-05T11:54:16Z"}],"graph_snapshots":[{"event_id":"sha256:5d58e4bf291453419e4ef1b59fb79214c9f7807c582f37b2004f4ba3b6d4ff16","target":"graph","created_at":"2026-07-05T11:54:16Z","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/2508.11021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Document fraud poses a significant threat to industries reliant on secure and verifiable documentation, necessitating robust detection mechanisms. This study investigates the efficacy of state-of-the-art multi-modal large language models (LLMs)-including OpenAI O1, OpenAI 4o, Gemini Flash (thinking), Deepseek Janus, Grok, Llama 3.2 and 4, Qwen 2 and 2.5 VL, Mistral Pixtral, and Claude 3.5 and 3.7 Sonnet-in detecting fraudulent documents. We benchmark these models against each other and prior work on document fraud detection techniques using a standard dataset with real transactional documents.","authors_text":"Disha Patil, Jiayu Xue, Kidus Zewde, Qinzhe Liu, Rudra Pratap Singh, Simiao Ren, Yao Yao, Yifei Chen, Zexi Chen, Zisheng Liang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-14T18:57:07Z","title":"Can Multi-modal (reasoning) LLMs detect document manipulation?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11021","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":"sha256:30508ae675d031ba06eecd125588faed043f6b7737411630dfca246cdcf0961c","target":"record","created_at":"2026-07-05T11:54:16Z","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":"8b2ea684661fa243b6faf0946104f5c808bc8d95e52fed3376f0ad381533ca31","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-14T18:57:07Z","title_canon_sha256":"3c735e811021b3a7222530cb651e33575fcecf330696f35cf943e73ecf239055"},"schema_version":"1.0","source":{"id":"2508.11021","kind":"arxiv","version":1}},"canonical_sha256":"3942fd0e5d121a94a4e5a1a8361e67a81d38aa5a1abe1a7c3ae06e9487ee15ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3942fd0e5d121a94a4e5a1a8361e67a81d38aa5a1abe1a7c3ae06e9487ee15ba","first_computed_at":"2026-07-05T11:54:16.951753Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:16.951753Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vAkL+pXsNSzbvm/VM72Tc/xiQ7x0bHm8+wlDnoB5k3JJNKPIhvIrFa8525GZpcIqzdV9aGQZXXAf39Mxka57Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:16.952246Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.11021","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30508ae675d031ba06eecd125588faed043f6b7737411630dfca246cdcf0961c","sha256:5d58e4bf291453419e4ef1b59fb79214c9f7807c582f37b2004f4ba3b6d4ff16"],"state_sha256":"dbaf281ea28539f6da1d91fa5df94e3bac2b5a8927f66aeae26c86f98aa526f4"}