{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WMR3ZRRX3HQNXN53XJVTK47CTK","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":"410cc13b866d215767a532b4744f25b073dea13e90c9ab8ea4958fa96937ab67","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T03:04:28Z","title_canon_sha256":"fc231020532dd2778f0daeeffd9043fe91d393d4bda9ea972c057660450eb8d8"},"schema_version":"1.0","source":{"id":"2406.08772","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.08772","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"arxiv_version","alias_value":"2406.08772v3","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.08772","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"pith_short_12","alias_value":"WMR3ZRRX3HQN","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"pith_short_16","alias_value":"WMR3ZRRX3HQNXN53","created_at":"2026-07-05T10:20:37Z"},{"alias_kind":"pith_short_8","alias_value":"WMR3ZRRX","created_at":"2026-07-05T10:20:37Z"}],"graph_snapshots":[{"event_id":"sha256:fa761a07e5f0a7624368fecf1b06185d6592580279667566a8ec9e930e8301b3","target":"graph","created_at":"2026-07-05T10:20:37Z","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/2406.08772/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current multimodal misinformation detection (MMD) methods often assume a single source and type of forgery for each sample, which is insufficient for real-world scenarios where multiple forgery sources coexist. The lack of a benchmark for mixed-source misinformation has hindered progress in this field. To address this, we introduce MMFakeBench, the first comprehensive benchmark for mixed-source MMD. MMFakeBench includes 3 critical sources: textual veracity distortion, visual veracity distortion, and cross-modal consistency distortion, along with 12 sub-categories of misinformation forgery type","authors_text":"Huaibo Huang, Linzhi Huang, Peipei Li, Shuhan Xia, Weihong Deng, Xing Cui, Xuannan Liu, Zekun Li, Zhaofeng He","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T03:04:28Z","title":"MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.08772","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":"sha256:1f9847a5d9fac73c0a5a8cbd673ce4051d9d9f5c00f868f234dc7da31e6d64ca","target":"record","created_at":"2026-07-05T10:20:37Z","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":"410cc13b866d215767a532b4744f25b073dea13e90c9ab8ea4958fa96937ab67","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T03:04:28Z","title_canon_sha256":"fc231020532dd2778f0daeeffd9043fe91d393d4bda9ea972c057660450eb8d8"},"schema_version":"1.0","source":{"id":"2406.08772","kind":"arxiv","version":3}},"canonical_sha256":"b323bcc637d9e0dbb7bbba6b3573e29a8dd0b78dcf94300b5a0f00630d429efb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b323bcc637d9e0dbb7bbba6b3573e29a8dd0b78dcf94300b5a0f00630d429efb","first_computed_at":"2026-07-05T10:20:37.671469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:37.671469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iI7W8LAnakrYYTrnjHI6gyMv93Xngt2HreTK2QXRQJ9MRL7wg2fzhNAmn99B06wIw7qhyarsYH6oVhArGcaNDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:37.672038Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.08772","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f9847a5d9fac73c0a5a8cbd673ce4051d9d9f5c00f868f234dc7da31e6d64ca","sha256:fa761a07e5f0a7624368fecf1b06185d6592580279667566a8ec9e930e8301b3"],"state_sha256":"9b5a1ae49a15061376990124b150d8bfd1cd3bf47e65de50bdf339acd8879ec9"}