{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XFTJAAUUUSPONE7XVTGRMGFPGB","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":"fb90750c076c5f9dfff723df04811f3876f25138af6028a4c9ff3141fe710b6d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T14:26:31Z","title_canon_sha256":"ed0f5f799f2fa55fd1393db591199688f7df34be41dffabd3fcf9a0625cd6a25"},"schema_version":"1.0","source":{"id":"2507.02664","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02664","created_at":"2026-07-05T11:32:33Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02664v2","created_at":"2026-07-05T11:32:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02664","created_at":"2026-07-05T11:32:33Z"},{"alias_kind":"pith_short_12","alias_value":"XFTJAAUUUSPO","created_at":"2026-07-05T11:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"XFTJAAUUUSPONE7X","created_at":"2026-07-05T11:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"XFTJAAUU","created_at":"2026-07-05T11:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:1480ed8313e7167a2fee5ee4592e225282bdfa23596908dbb15f77297c338d33","target":"graph","created_at":"2026-07-05T11:32:33Z","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/2507.02664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid development of AI-generated content (AIGC) technology has led to the misuse of highly realistic AI-generated images (AIGI) in spreading misinformation, posing a threat to public information security. Although existing AIGI detection techniques are generally effective, they face two issues: 1) a lack of human-verifiable explanations, and 2) a lack of generalization in the latest generation technology. To address these issues, we introduce a large-scale and comprehensive dataset, Holmes-Set, which includes the Holmes-SFTSet, an instruction-tuning dataset with explanations on whether im","authors_text":"Jiayi Ji, Ke Sun, Ke Yan, Rongrong Ji, Shouhong Ding, Xiaoshuai Sun, Yuanchen Wu, Yunpeng Luo, Yunsheng Wu, Ziyin Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T14:26:31Z","title":"AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02664","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:b5ea8f2f70e938c67dc5d64d89d13d46924aa0edaed2028168cd3075beace449","target":"record","created_at":"2026-07-05T11:32:33Z","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":"fb90750c076c5f9dfff723df04811f3876f25138af6028a4c9ff3141fe710b6d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T14:26:31Z","title_canon_sha256":"ed0f5f799f2fa55fd1393db591199688f7df34be41dffabd3fcf9a0625cd6a25"},"schema_version":"1.0","source":{"id":"2507.02664","kind":"arxiv","version":2}},"canonical_sha256":"b966900294a49ee693f7accd1618af305cc8270d538697cff00cf6c72f81c1c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b966900294a49ee693f7accd1618af305cc8270d538697cff00cf6c72f81c1c0","first_computed_at":"2026-07-05T11:32:33.974770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:33.974770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IV/y2zAqujh6M1N9BjHT5HCgCBC3Y43pk6erEVwQ/XJ0IsIVAARqgoI4O2MWb13qKPaDjvHKhTsfnbO9PbqoAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:33.975986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.02664","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5ea8f2f70e938c67dc5d64d89d13d46924aa0edaed2028168cd3075beace449","sha256:1480ed8313e7167a2fee5ee4592e225282bdfa23596908dbb15f77297c338d33"],"state_sha256":"b7c51c7f9fcf9b8953f9aa4cce76a8c6f4c8454056600f74fd687cdb62e9697b"}