{"total":18,"rows":[{"id":"2506.00979","title":"Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection","created":"2025-06-01","cited_by_count":34,"area":null},{"id":"2505.11003","title":"ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization","created":"2025-05-16","cited_by_count":22,"area":null},{"id":"2504.21682","title":"Visual Text Processing: A Comprehensive Review and Unified Evaluation","created":"2025-04-30","cited_by_count":19,"area":null},{"id":"2605.14091","title":"Venus-DeFakerOne: Unified Fake Image Detection & Localization","created":"2026-05-13","cited_by_count":8,"area":null},{"id":"2411.14823","title":"Omni-IML: Towards Unified Image Manipulation Localization","created":"2024-11-22","cited_by_count":7,"area":null},{"id":"2602.20569","title":"AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents","created":"2026-02-24","cited_by_count":5,"area":null},{"id":"2603.01433","title":"DOCFORGE-BENCH: A Comprehensive 0-shot Benchmark for Document Forgery Detection and Analysis","created":"2026-03-02","cited_by_count":4,"area":null},{"id":"2603.11442","title":"GPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics","created":"2026-03-12","cited_by_count":4,"area":null},{"id":"2508.20987","title":"Webly-Supervised Image Manipulation Localization via Category-Aware Auto-Annotation","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2509.20006","title":"Revisiting Image Manipulation Localization under Realistic Manipulation Scenarios","created":"2025-09-24","cited_by_count":3,"area":null},{"id":"2511.12658","title":"Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis","created":"2025-11-16","cited_by_count":3,"area":null},{"id":"2602.06676","title":"Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction","created":"2026-02-06","cited_by_count":3,"area":null},{"id":"2604.25213","title":"When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents","created":"2026-04-28","cited_by_count":3,"area":null},{"id":"2609.13617","title":"ChatGPT Images 2.5 on Forgery Tasks: Testing Advertised Improvements Against Known Answers","created":"2026-09-12","cited_by_count":2,"area":null},{"id":"2606.22285","title":"Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT-Quantization Embedding","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2608.30714","title":"SegWave: Wavelet-Driven Segmentation of Tampered Regions","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.36145","title":"From Sharp Eyes to Expert Mind: Internalizing Expert Knowledge in MLLMs for Tampered Text Detection","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.37712","title":"PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}