{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GRK3BIS4GVTBIJ3PNYRLXCGC2U","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":"508201a1f5a7a574d63149eb683eaec38bd5fc722e5662edd5871474f2333f73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T00:08:35Z","title_canon_sha256":"f9cba68ec6229f27d72252b76356e08fbde53f8e6d67ed1b791946510a7ecf61"},"schema_version":"1.0","source":{"id":"2606.18554","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18554","created_at":"2026-06-19T16:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18554v1","created_at":"2026-06-19T16:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18554","created_at":"2026-06-19T16:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"GRK3BIS4GVTB","created_at":"2026-06-19T16:11:40Z"},{"alias_kind":"pith_short_16","alias_value":"GRK3BIS4GVTBIJ3P","created_at":"2026-06-19T16:11:40Z"},{"alias_kind":"pith_short_8","alias_value":"GRK3BIS4","created_at":"2026-06-19T16:11:40Z"}],"graph_snapshots":[{"event_id":"sha256:f4afbf9d324562d87b5c30a7fa8c2155fbadbfc41ba1b8bde49ed5b4b3f6fbd5","target":"graph","created_at":"2026-06-19T16:11:40Z","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/2606.18554/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid advancement of text-to-image diffusion models has enabled the creation of highly photorealistic synthetic images that closely resemble real photographs, making it increasingly difficult to distinguish authentic content from AI-generated fabrications. This poses challenges for cybersecurity, digital forensics, and disaster response, where fake imagery of floods, fires, or earthquakes can spread misinformation or disrupt emergency operations. To address this, we introduce Forged Calamity, a benchmark dataset for synthetic disaster detection containing 30,000 images, including 6,000 rea","authors_text":"Anh-Tuan Vo, Duc-Manh Phan, Duy-Khang Do, Hai-Dang Nguyen, Isao Echizen, Mai-Khiem Tran, Minh-Triet Tran, Quoc-Duy Tran, Tam V. Nguyen, Trong Le Do, Trung-Nghia Le, Vinh-Tiep Nguyen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T00:08:35Z","title":"Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18554","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":"sha256:968cfaf943c019d55a2bb7dfa4e364ca56dccb326e8906efcb23c7b59ee11054","target":"record","created_at":"2026-06-19T16:11:40Z","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":"508201a1f5a7a574d63149eb683eaec38bd5fc722e5662edd5871474f2333f73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T00:08:35Z","title_canon_sha256":"f9cba68ec6229f27d72252b76356e08fbde53f8e6d67ed1b791946510a7ecf61"},"schema_version":"1.0","source":{"id":"2606.18554","kind":"arxiv","version":1}},"canonical_sha256":"3455b0a25c356614276f6e22bb88c2d51a96af1a950780e388c4aef1dddc0905","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3455b0a25c356614276f6e22bb88c2d51a96af1a950780e388c4aef1dddc0905","first_computed_at":"2026-06-19T16:11:40.795455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:40.795455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vlXNpomwRKuOWsrAtjc36ZxV1Xk5/wGEUMxRWKtvO+QveUpxhHSuTcKpfI9iJz6NUBryWu1NyycLBip2JlO0Aw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:40.795947Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18554","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:968cfaf943c019d55a2bb7dfa4e364ca56dccb326e8906efcb23c7b59ee11054","sha256:f4afbf9d324562d87b5c30a7fa8c2155fbadbfc41ba1b8bde49ed5b4b3f6fbd5"],"state_sha256":"f3a12fb95d60f097696d0a035a5f2097e03cf4701286271caf1abfdf5a32ce62"}