{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NJTCZDYVUNSS3NTR6RSAANCZYQ","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":"1bc3b7f49d77457622bdf87317ce63415ab2f1cdc3835f15cf3a716a26cde5ca","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-31T06:42:18Z","title_canon_sha256":"d61e42d2220bb516ac7e1fdc5efabe508ba61e7bf7c1b66b02c92835fca04d20"},"schema_version":"1.0","source":{"id":"2606.01050","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01050","created_at":"2026-06-02T01:04:19Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01050v1","created_at":"2026-06-02T01:04:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01050","created_at":"2026-06-02T01:04:19Z"},{"alias_kind":"pith_short_12","alias_value":"NJTCZDYVUNSS","created_at":"2026-06-02T01:04:19Z"},{"alias_kind":"pith_short_16","alias_value":"NJTCZDYVUNSS3NTR","created_at":"2026-06-02T01:04:19Z"},{"alias_kind":"pith_short_8","alias_value":"NJTCZDYV","created_at":"2026-06-02T01:04:19Z"}],"graph_snapshots":[{"event_id":"sha256:3b90dc80b31863e19d4c5e01bc8e60107265b899b8dba2e55fbcf4b0f95ebc50","target":"graph","created_at":"2026-06-02T01:04:19Z","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/2606.01050/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent AI-generated image (AIGI) detectors perform well on natural-image benchmarks, but their behavior on text-rich forgeries, such as fabricated screenshots, documents, and news pages prevalent in misinformation, remains untested. We introduce TextFake, a 20,000-image benchmark for text-rich AIGI detection spanning 28 languages, 4 topic categories, and 2 scene modalities. Fake images are synthesized via a four-stage pipeline that annotates real images along three controlled dimensions and generates counterparts through distribution-aligned structured prompting, ruling out covariate shortcuts","authors_text":"Changtao Miao, Mingyu Liao, Nenghai Yu, Qi Chu, Tao Gong, Tingyu Liu, Xinghao Wang, Yuning Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-31T06:42:18Z","title":"TextFake: Benchmarking AI-Generated Image Detection on Text-Rich Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01050","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":"sha256:3cb0a380570e16820d7a03c5e9ab88633840b789e15b02ce9612860fd5207c03","target":"record","created_at":"2026-06-02T01:04:19Z","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":"1bc3b7f49d77457622bdf87317ce63415ab2f1cdc3835f15cf3a716a26cde5ca","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-31T06:42:18Z","title_canon_sha256":"d61e42d2220bb516ac7e1fdc5efabe508ba61e7bf7c1b66b02c92835fca04d20"},"schema_version":"1.0","source":{"id":"2606.01050","kind":"arxiv","version":1}},"canonical_sha256":"6a662c8f15a3652db671f464003459c417aa39a26cb5283a3f2115f16addeb0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a662c8f15a3652db671f464003459c417aa39a26cb5283a3f2115f16addeb0b","first_computed_at":"2026-06-02T01:04:19.735993Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:19.735993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g4U0VqY1NvNnM3nqrVa0ov/IJRT4nwJvJXqaMjYccZ+I78mUDhPsIv5mZAZWlJa1FLKMS3mQkfuxHSbV+orTCQ==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:19.736439Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01050","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3cb0a380570e16820d7a03c5e9ab88633840b789e15b02ce9612860fd5207c03","sha256:3b90dc80b31863e19d4c5e01bc8e60107265b899b8dba2e55fbcf4b0f95ebc50"],"state_sha256":"15edc29369c65be98250a99c08124c7d8328e388282648fb9d01dda13283f0c0"}