Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:55.145079Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2506.07045.
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 2026-08-07T05:48:55.145079Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T19:51:45.257204Z
A source-named dated measurement, never combined with another source.
Source: cited_works
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0e7f8d76-f94f-4b44-a366-0d0f1e6f9a30 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Unresolved cited work
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Large scale gan training for high fidelity natural image synthesis
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Maskgit: Masked generative image transformer
Reference 3
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
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Observation d4efb5d2-1349-4dee-8bcb-eae3e34bd7bb · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs R1-v: Reinforcing super generaliza- tion ability in vision-language models with less than $3.https://github.com/Deep-Agent/ R1-V, 2025
Reference 8
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Observation 95898ec4-0fc4-433d-9510-367969ddd549 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Expanding performance boundaries of open-source multimodal models with model, data, and test-time scaling, 2025
Reference 9
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Observation f1e7c8f3-2bb6-4ed3-84f8-a8b4e4684b7c · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs On the detection of synthetic images generated by diffusion models
Reference 10
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Observation 8fda4d6e-c16c-42f2-99a3-19ef0403c29d · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Li, and Li Fei-Fei
Reference 11
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Observation 39713f27-1e7a-4841-83ad-08f4a3c2e7dd · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Witherden
Reference 12
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Scaling rectified flow transformers for high-resolution image synthesis, 2024
Reference 13
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Observation e38691b6-2ff7-4c8a-8a32-70639c23e7ab · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Taming transformers for high-resolution image synthesis
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Leveraging frequency analysis for deep fake image recognition
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Unresolved cited work
Reference 16
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Observation c627ae84-6a6d-4690-a634-6068160aae11 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
Reference 17
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Observation c5733705-d799-4d65-94d4-5917ff8b4c85 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Vector quantized diffusion model for text-to-image synthesis
Reference 18
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Observation 772af3bd-20b0-4bc5-9b4e-17ffa5d60199 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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Observation b9dd8cd8-0564-4a0f-a727-4bedf20e389b · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Reference 20
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Observation 3331b2a9-7ba8-484e-aa06-82f4db5dc329 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Denoising Diffusion Probabilistic Models
Reference 21
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Observation 48441d9a-76fc-44e2-a92a-af8794007c85 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 22
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Observation 8746c636-0c81-4f9d-a86c-4920d717200c · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs OpenAI o1 System Card
Reference 23
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Observation f8cfe678-9952-47c6-8012-f97e01aa4c3f · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Reference 24
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Observation 2c20a2d8-01bc-4ab9-86a4-ea0b8fc6d9ee · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs A style-based generator architecture for generative adversarial networks.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4396–4405, 2018
Reference 25
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Observation 7d6f2faa-3b59-4dfc-808a-3e105841c2b3 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Flux.https://github.com/black-forest-labs/flux, 2024
Reference 26
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Observation 581d1329-37cd-4107-8be0-da8572df8ebf · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
Reference 27
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Observation fe6721fe-3541-4b89-b4cd-deacd7399960 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Unresolved cited work
Reference 28
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Observation c28363fa-ba59-4d2b-8d3c-a040c7f15fc3 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Unresolved cited work
Reference 29
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Observation cb7e5213-8ff5-4313-9378-fdbe5e3da131 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Midjourney, 2023
Reference 30
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Observation 11a71384-23b1-4a1c-8cc7-25c3ce55430c · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 31
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Observation 6d49cb2a-fd81-4305-a838-a30531a11118 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Towards universal fake image detectors that generalize across generative models.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 24480–24489, 2023
Reference 32
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Observation 70fd46fc-2543-4fe2-b18a-c314c456dd73 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Dall·e 3 system card, 2023
Reference 33
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Observation 6244c030-da6a-4d4c-83b2-81c53d7c81f3 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Introducing 4o image generation, Mar 2025
Reference 34
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Observation 8f5a04ac-0987-46c5-80d8-e87cd012a2e5 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022
Reference 35
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Observation 04b3b00c-b072-4a79-9734-767ad16a5a2c · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Reference 36
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Observation 41ab725f-d6d2-4d24-bdf7-07f5f05ca2f1 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Community forensics: Using thousands of generators to train fake image detectors, 2024
Reference 37
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Observation 0567dd4b-b0e8-429a-b921-f4c965670d52 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Scalable diffusion models with transformers
Reference 38
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Observation ea4d3ae2-260f-47cd-a298-c91581a5d099 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Reference 39
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Observation 036a4fa0-38bc-4bcd-a2e1-03361296afbc · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Qwen2.5-vl, January 2025
Reference 40
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Observation 3bee05a3-5f7a-4c42-a890-a080ce2b6ce4 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 41
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Observation 5a4cfdbc-4fa5-4024-8de3-304dc0f17d93 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Rapidata openai 4o preference, Mar 2025
Reference 42
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Observation 9069a64d-d0b9-422c-8785-73cfac203fcb · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Unresolved cited work
Reference 43
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Observation 8e3322b7-803e-4288-87c0-52a0c6746e25 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs High- resolution image synthesis with latent diffusion models
Reference 45
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Observation b42a3a56-990c-49bd-96c5-c26fab66c890 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs FaceForensics++: Learning to detect manipulated facial images
Reference 46
Source-reported events for the cited work
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Observation b4bdfadc-0be5-48c3-a2b4-d9ffefec4e29 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022
Reference 47
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Observation 50934704-7f11-4a33-a645-7069c477362b · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra
Reference 48
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Observation ef605562-9d20-4cea-adc2-958f60edb5f4 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 49
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Observation 7f41f5c8-a783-4870-a1a8-35f6ea756aff · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 50
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Observation 3fdfd517-3cf0-4e12-98c9-dd7271710d31 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Reference 51
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Observation f02bd0a1-16bb-487d-b07c-803ca65569e4 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Denoising Diffusion Implicit Models
Reference 52
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Observation cf0e2900-bde2-45ff-ba06-6eb85915a682 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Reference 53
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Observation 35060b25-8ffb-42d1-a720-756a33f7dab4 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Axiomatic attribution for deep networks
Reference 54
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Observation 8a093ee3-ee65-4fdf-8528-ce90f5a08efe · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Reference 55
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Observation cb0e83bd-2e69-4a4b-8dc3-4db9c942bfc2 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Galip: Generative adversarial clips for text-to-image synthesis
Reference 56
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Observation 27ab6bfe-108a-474e-af38-98c75799394e · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024
Reference 57
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Observation 9165d7d7-7170-488d-aabb-8e0ba2ffba10 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Neural discrete representation learning.Advances in neural information processing systems, 30, 2017
Reference 58
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Observation e5ef4c12-43f8-4160-9034-7a2fe3057d22 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Reference 59
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Observation b9c2cce1-18f5-4bcd-bbaa-83f297ab0191 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Objectformer for image manipulation detection and localization
Reference 60
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Observation 721ae601-ec48-4c43-8434-5c0e0d0e68a1 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 61
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Observation b4dc13ff-6422-4a7c-b142-6dcdabbf60b4 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Cnn- generated images are surprisingly easy to spot
Reference 62
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Observation 67d4c699-1623-44f4-b2b0-3a5e4d881b44 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Dire for diffusion-generated image detection
Reference 63
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Observation 3f8897c8-3c31-4f32-8a2d-e0cc3e02ea8b · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Fast-slow thinking for large vision-language model reasoning.arXiv preprint arXiv:2504.18458, 2025
Reference 64
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Segformer: Simple and efficient design for semantic segmentation with transformers
Reference 65
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Observation a8bfaf4e-1672-4d46-b297-4a163a4f8466 · outbound
Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Reference 66
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
Reference 67
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs Swift: a scalable lightweight infrastructure for fine-tuning
Reference 68
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Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Reference 69
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Observation 58107120-92a3-49ae-9527-a2a7309da508 · inbound
AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs
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