Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.843020Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 100 of 201 outbound references and 3 inbound Pith citation observations for arXiv:2502.05240.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.843020Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T11:05:19.011287Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T11:54:38.827618Z
100 of 201 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a05485b9-ba1a-4f7c-85fb-90abb7d244f1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Hello gpt-4o
Reference 1
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Observation c049a956-3b30-4ccf-9ee7-6d51d98df14a · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Improving image generation with better captions
Reference 2
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Observation da24a3ef-f25a-4ddd-a7d0-edd48527df4c · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM High-resolution image synthesis with latent diffusion models
Reference 3
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Observation 11772ca8-03f4-4ed9-a9fe-b330e1dd8514 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Video generation models as world simulators
Reference 4
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Observation f7bcf616-0315-43b8-9771-5d079d79f78f · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Pluralistic aging diffusion autoencoder
Reference 5
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Observation c3d42e60-fb26-4ece-9ce9-e380a07b34b4 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Global and local consistent wavelet-domain age synthesis
Reference 6
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Observation ab19450f-490f-4b26-a809-488d84b435b4 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
Reference 7
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Observation 3079a0ad-4eee-4163-b745-767054a9acfc · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Combating misinformation in the era of generative ai models
Reference 8
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Observation d28f340c-767b-4a0d-9d9a-2db00f39a504 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Deep learning technology for face forgery detection: A survey
Reference 9
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Observation d6292ac0-5dd2-4af0-8982-40d23927983a · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Communicating the cultural other: Trust and bias in generative ai and large language models
Reference 10
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Observation 0ef591d9-9a6b-49e2-8556-ce79d7c23b86 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Generative ai meets copyright
Reference 11
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Observation fa1d2957-556e-42e4-843f-05f67e725e3e · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey
Reference 12
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Observation 12767eeb-dadd-4fa6-93f9-19d7702cd3be · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Online detection of ai-generated images
Reference 13
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Observation ca38bf36-9e65-4f14-94e1-e0d8c9a7d7df · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM An empirical study of ai-generated text detection tools
Reference 14
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Observation f6ac4806-3d66-4213-bf96-9480f05b34b3 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Reference 15
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Observation d5bd5c36-2147-4430-9236-d04ba2567d70 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detecting Multimedia Generated by Large AI Models: A Survey
Reference 16
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Observation fc98ebcb-fcd4-4125-9497-24ceeb4135b1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM A survey of defenses against ai-generated visual media: Detection, disruption, and authentication
Reference 17
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Observation 42979b47-816a-4bb3-b967-bb46b95435e2 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
Reference 18
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Observation b24ed57a-6f4d-4b51-80c5-705ae92cdaf1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM The Llama 3 Herd of Models
Reference 19
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Observation 41bf45a3-c1d3-472d-ae0c-42bdf13bb932 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Claude 3.5: Sonnet
Reference 20
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Observation 51560cc7-fdb1-4986-bdba-18fc23204298 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM All the news that’s fit to fabricate: Ai-generated text as a tool of media misinformation
Reference 21
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Observation d9327d13-c18e-4416-b9ba-6836a61430bb · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Program code generation with generative ais
Reference 22
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Observation f6a5c91e-e10c-4b49-b34f-1c2ff5afb66f · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Collage is the new writing: Exploring the fragmentation of text and user interfaces in ai tools
Reference 23
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Observation 5e27a907-c01a-4c0e-b616-8efcfe99f608 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Denoising diffusion probabilistic models
Reference 24
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Observation cafd85fd-e198-46c3-b23c-96e76566fdf4 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Generative modeling by estimating gradients of the data distribution
Reference 25
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Observation 1a6add62-7936-4f88-89a8-5e27cc98ad11 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Score-Based Generative Modeling through Stochastic Differential Equations
Reference 26
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Observation 2201bd10-8e8f-439d-a991-b12ff993fff2 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DeepMind
Reference 27
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Observation 3bd7f7f4-d0a3-4f50-a0d4-09a04809773b · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Midjourney
Reference 28
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Observation 58ec89a6-38b1-4f08-aae3-5078b0901591 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 29
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Observation 232de6b9-9720-4156-b30e-8735668e6fea · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Visual instruction tuning
Reference 30
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Observation 51b3d717-7f44-43fa-a438-0dda29ae3edc · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 31
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Observation beb79927-b0f6-40ab-9d99-dd37855d74b5 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 32
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Observation 2298f2ee-25dc-4877-ae98-66dba5524a99 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Dall·e 2
Reference 33
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Observation 35f76bf6-57b0-4510-812b-4e4019560cc4 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Unresolved cited work
Reference 34
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Observation f5de5cd2-8e6b-45aa-b09e-7be150203c31 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 35
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Observation 60b97434-6b6e-4cb1-886a-f10dea0a7c4c · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Llama-vid: An image is worth 2 tokens in large language models
Reference 36
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Observation b3993d1f-5478-498c-810a-039c67f137ec · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Mvbench: A comprehensive multi-modal video understanding benchmark
Reference 37
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Observation f2ba1678-4716-4563-8a31-4ac646a617a2 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Reference 38
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Observation 92092498-bc2e-49e6-9806-1a4a4b703b0e · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Audioldm: text-to-audio generation with latent diffusion models
Reference 39
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Observation fdc13d22-27a8-4849-b3db-9a8b62510a23 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Make-an-audio: text-to-audio generation with prompt-enhanced diffusion models
Reference 40
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Observation 3ac16a45-5bd5-4f75-a9ae-0834e90d4fc4 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model
Reference 41
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Observation 6c3330d6-bba7-4f8a-a7fb-1dc252bf505d · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM WavJourney: Compositional Audio Creation with Large Language Models
Reference 42
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Observation 9cc133a0-5e46-45ce-98ad-a3c78c6985f1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Reference 43
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Observation de0cd808-7e0f-4832-addb-20995a7d00e1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Explainability for large language models: A survey
Reference 44
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Observation b186ff9c-f6ba-4ef7-b70b-238c5dc1beb8 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
Reference 45
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Observation 1425f8bd-a6bc-4377-9358-8925b655f665 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Reference 46
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Observation 3f22f26a-d16f-43ee-b480-07ce0fd0acb2 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
Reference 47
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Observation ee04c8a1-631b-481f-baf7-55f9ad90a60e · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detectgpt: Zero-shot machine-generated text detection using probability curvature
Reference 48
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Observation 6e71886d-1c83-41c6-bd27-b0e2222b7e0a · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Reference 49
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Observation cd6fe240-c67f-4603-9bf7-0b6b2a7b3bb5 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Reference 50
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Observation 56ed2f15-9300-4826-9c33-fd7a013c60a8 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fighting fire with fire: can chatgpt detect ai-generated text? ACM SIGKDD Explorations Newsletter, 25(2):14–21, 2024
Reference 51
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Observation cc153f4f-b0c7-4828-a5b3-97ac7ce41622 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detection vs
Reference 52
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Observation 2a502feb-6837-49a3-bb2d-9be79cfc85d9 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions
Reference 53
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Observation 2cae0c00-d71f-4d6c-84d2-8ea568907df5 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Simllm: Detecting sentences generated by large language models using similarity between the generation and its re-generation
Reference 54
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Observation a4ff63e9-95d6-4276-84b9-0914bd04bc20 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Beat llms at their own game: Zero-shot llm-generated text detection via querying chatgpt
Reference 55
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Observation 2d1142e0-3df0-4cfd-a1a9-9cbf40aa539b · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Raidar: geneRative AI Detection viA Rewriting
Reference 56
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Observation 600dca26-f865-498b-a58e-ab5ed498a0d3 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Learning to Rewrite: Generalized LLM-Generated Text Detection
Reference 57
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Observation 4fea5176-f2b7-41e9-8515-2956d49ab8ef · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Llm-as-a-coauthor: Can mixed human-written and machine-generated text be detected? In Findings of the Association for Computational Linguistics: NAACL 2024 , pages 409–436, 2024
Reference 58
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Observation fda5103d-3f0e-4b42-9aa9-d6b999a77fba · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Reference 59
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Observation 57c0922e-fc10-404a-bffc-abb46d3fd55c · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Beemo: Benchmark of Expert-edited Machine-generated Outputs
Reference 60
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Observation e20029ae-7054-41e4-8093-15d124e15a64 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement
Reference 61
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Observation a6912873-8a98-47dc-9611-81b9798a131b · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM A watermark for large language models
Reference 62
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Observation 895b5a19-051f-4b66-8d5f-d2eb73ee560f · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM On the reliability of watermarks for large language models
Reference 63
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Observation 15a9a157-5b84-4db3-8d8f-1a22975d70e1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Undetectable watermarks for language models
Reference 64
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Observation 05444cb2-5196-4843-9fe1-67255f58c0d2 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Provable robust watermarking for ai-generated text
Reference 65
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Observation 4fd8acf1-52b3-4a50-8063-13edfbb16be1 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM PersonaMark: Personalized LLM watermarking for model protection and user attribution
Reference 66
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Observation 1842f3d5-d893-4acd-bbb8-54b0b4be4569 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
Reference 67
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Observation 53158559-7dc8-41ba-ace0-ba5a28d157e7 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization
Reference 68
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Observation 3e430203-9d05-406b-8f8f-ede864074d6c · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models
Reference 69
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Observation 252ba75c-58bc-463f-a97a-0e21c0945473 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics
Reference 70
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Observation aa6b48a0-10f1-404c-a408-1cabdff20425 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM VisualCritic: Making LMMs Perceive Visual Quality Like Humans
Reference 71
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Observation 834a1b86-6ed8-4b6f-a782-bd0e157a72e0 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
Reference 72
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Observation 2d9c046d-3e90-4551-827c-fb6c54b8ae83 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM
Reference 73
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bca85028-2868-439a-b263-cb89993d6008 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection
Reference 74
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Observation 6e1e105e-a98c-4012-a648-353467401110 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
Reference 75
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Observation 1f4f3d88-5d2f-4208-870f-2d5cd567ae5e · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Reference 76
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Observation cd488899-735a-4bb6-a1a4-644ef36e28e9 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
Reference 77
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Observation a7fd9ee0-b7d6-4a13-bb98-1dd9330a54b5 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
Reference 78
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Observation c3a0395e-5f0a-4820-86f6-3be69a506ff0 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Forgerysleuth: Empowering multimodal large language models for image manipulation detection
Reference 79
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Observation 9ac9fe25-38df-42ac-b3a2-0202d9c65f02 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
Reference 80
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Observation 8d9df4eb-32ea-4b5e-b28e-f9dc0a3edb19 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs
Reference 81
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Observation 0643c725-c24b-416e-9c99-4358fa52cbeb · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs
Reference 82
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e72797f6-df93-4958-918b-e1975e647749 · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM SONICS: Synthetic Or Not -- Identifying Counterfeit Songs
Reference 83
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Observation 4f787bc6-4362-40fe-8795-7e39912ca20d · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Sniffer: Multimodal large language model for explainable out-of-context misin- formation detection
Reference 84
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Observation c7db6c9c-1b9a-40d7-9368-ac87816ce48c · outbound
Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Cheap-fake detection with llm using prompt engineering
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Reference 87
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Reference 88
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Reference 89
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Survey on AI-Generated Media Detection: From Non-MLLM to MLLM VideoChat: Chat-Centric Video Understanding
Reference 90
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Reference 91
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Reference 92
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Reference 93
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Reference 94
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Reference 95
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Reference 96
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Survey on AI-Generated Media Detection: From Non-MLLM to MLLM T2iw: Joint text to image & watermark generation
Reference 97
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Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service
Reference 98
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Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
Reference 99
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Reference 100
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Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Reference 92
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Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Reference 105
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READER: Reasoning-Enhanced AI-Generated Text Detection Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
Reference 10
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