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Paper Citation Record · LEDGER

Explaining AI-Image Detection: What the Heatmap Actually Shows

As of 20 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2607.29581.

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pith.paper-citation-record.v1
2607.29581 v1

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measured 69 of 69 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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69 of 69 outbound references displayed

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External citation measurements

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Outbound references

Observation ec048f73-a779-403b-84d4-6d0ae69ce236 · outbound

This paper cites Cnn-generated images are surprisingly easy to spot... for now,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Cnn-generated images are surprisingly easy to spot... for now,

Reference 1

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Observation f41ce38f-3089-4a3a-b676-ca7212698f59 · outbound

This paper cites Towards universal fake image detectors that generalize across generative models,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Towards universal fake image detectors that generalize across generative models,

Reference 2

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Observation f324ff83-c46f-4b1b-887b-0485aee5cdb1 · outbound

This paper cites On the detection of synthetic images gen- erated by diffusion models,.

Explaining AI-Image Detection: What the Heatmap Actually Shows On the detection of synthetic images gen- erated by diffusion models,

Reference 3

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Observation 5b923802-3b71-4f0b-b621-6827e4cd3fd6 · outbound

This paper cites Fake or jpeg? revealing common biases in generated image detection datasets,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Fake or jpeg? revealing common biases in generated image detection datasets,

Reference 4

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Observation 073a5a87-4722-4fad-b1b0-7fd98b1fdd3a · outbound

This paper cites Sanity checks for saliency maps,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Sanity checks for saliency maps,

Reference 5

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This paper cites Bias-id: A framework for analyzing transformation biases in ai-generated image detectors,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Bias-id: A framework for analyzing transformation biases in ai-generated image detectors,

Reference 6

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This paper cites Sanity checks for saliency metrics,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Sanity checks for saliency metrics,

Reference 7

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Observation c986c2ec-6cc1-4b16-9213-9bb05c996ad7 · outbound

This paper cites Genimage: A million-scale benchmark for detecting ai-generated image,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Genimage: A million-scale benchmark for detecting ai-generated image,

Reference 8

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Observation 00eb13c1-4d3d-4ced-8a9c-2f9670eacd45 · outbound

This paper cites How fragile are training-free ai- generated image detectors? a controlled audit of score direc- tion, preprocessing, and compression,.

Explaining AI-Image Detection: What the Heatmap Actually Shows How fragile are training-free ai- generated image detectors? a controlled audit of score direc- tion, preprocessing, and compression,

Reference 9

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Observation 9c7a9f4c-70ad-4725-9041-8af4e97fa93b · outbound

This paper cites Dual data alignment makes ai-generated image detector easier generalizable,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Dual data alignment makes ai-generated image detector easier generalizable,

Reference 10

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Observation fcbe4c2d-1191-4921-9459-6e38aad90a8a · outbound

This paper cites Interpretation of neural networks is fragile,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Interpretation of neural networks is fragile,

Reference 11

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Explaining AI-Image Detection: What the Heatmap Actually Shows The (un)reliability of saliency methods,

Reference 12

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Observation 27f68ff3-62f4-474c-83a5-76e8dd727894 · outbound

This paper cites A comparative evaluation of explainability techniques for image data,.

Explaining AI-Image Detection: What the Heatmap Actually Shows A comparative evaluation of explainability techniques for image data,

Reference 13

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This paper cites A bench- mark for interpretability methods in deep neural networks (roar),.

Explaining AI-Image Detection: What the Heatmap Actually Shows A bench- mark for interpretability methods in deep neural networks (roar),

Reference 14

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Explaining AI-Image Detection: What the Heatmap Actually Shows A consistent and efficient evaluation strategy for attribution methods,

Reference 15

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Explaining AI-Image Detection: What the Heatmap Actually Shows Counterfactual visual explanations,

Reference 16

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Explaining AI-Image Detection: What the Heatmap Actually Shows Discriminative attribution from counterfactuals,

Reference 17

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Explaining AI-Image Detection: What the Heatmap Actually Shows Evaluating weakly supervised object localization methods right,

Reference 18

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Explaining AI-Image Detection: What the Heatmap Actually Shows The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions,

Reference 19

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Observation ec72dea6-c970-4a5a-94a9-7a72b206cb27 · outbound

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Explaining AI-Image Detection: What the Heatmap Actually Shows What do different evaluation metrics tell us about saliency models?,

Reference 20

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Observation 0e77cf8a-35ab-4b81-b02d-1c99a2c85d59 · outbound

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Explaining AI-Image Detection: What the Heatmap Actually Shows Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization,

Reference 21

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Observation 2aa231f8-f079-42dc-9e03-07f97d632e7e · outbound

This paper cites Weakly-supervised deepfake localization in diffusion-generated images.

Explaining AI-Image Detection: What the Heatmap Actually Shows Weakly-supervised deepfake localization in diffusion-generated images

Reference 22

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This paper cites SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model.

Explaining AI-Image Detection: What the Heatmap Actually Shows SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

Reference 23

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This paper cites Aigi-holmes: Towards explainable and generalizable ai-generated image detection via multimodal large language models,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Aigi-holmes: Towards explainable and generalizable ai-generated image detection via multimodal large language models,

Reference 24

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Explaining AI-Image Detection: What the Heatmap Actually Shows Raising the bar of ai-generated image detection with clip,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Dinov2: Learning robust visual features without supervision,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Learning transferable visual models from natural language supervision,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Sigmoid loss for language image pre-training,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Perception encoder: The best visual em- beddings are not at the output of the network,

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Explaining AI-Image Detection: What the Heatmap Actually Shows On calibra- tion of modern neural networks,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Rise: Randomized input sampling for explanation of black-box models,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Eraser: A benchmark to evaluate rationalized nlp models,

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Explaining AI-Image Detection: What the Heatmap Actually Shows On the (in)fidelity and sensitivity of explana- tions,

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Explaining AI-Image Detection: What the Heatmap Actually Shows On the faithfulness of vision transformer explanations,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Top-down neural attention by excitation back- prop,

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Explaining AI-Image Detection: What the Heatmap Actually Shows Slic superpixels compared to state-of-the-art superpixel methods,

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Explaining AI-Image Detection: What the Heatmap Actually Shows "why should i trust you?

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Explaining AI-Image Detection: What the Heatmap Actually Shows Understanding deep networks via extremal perturbations and smooth masks,

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Observation 06a72f62-5c8b-4729-bf8b-c187eb0b91c5 · outbound

This paper cites Transformer interpretability beyond attention visualization,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Transformer interpretability beyond attention visualization,

Reference 39

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Observation 0573d6b9-cd6f-4eb5-836e-06ca626876d6 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Explaining AI-Image Detection: What the Heatmap Actually Shows An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 40

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Observation eda8b76a-a46b-4568-9cb2-814f2a5a5198 · outbound

This paper cites De-fake: Detection and attribution of fake images generated by text-to-image generation models,.

Explaining AI-Image Detection: What the Heatmap Actually Shows De-fake: Detection and attribution of fake images generated by text-to-image generation models,

Reference 41

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Observation 68c32c64-b28f-45e5-b0f9-abd4aa8e35ef · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 42

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Observation 94d05848-7f06-4245-9b60-26fa5090479e · outbound

This paper cites Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,

Reference 43

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source=pdf_text observed=2026-08-03T04:13:11.809144Z digest=sha256:7045907e690d59f0f453a0ba938aac9134ca8fb0ade1f1e00ffac7f6813eb7f8

Observation 030e0f8b-e75c-4be7-9956-1dcec065fafc · outbound

This paper cites Layercam: Exploring hierarchical class activation maps for localization,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Layercam: Exploring hierarchical class activation maps for localization,

Reference 44

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source=pdf_text observed=2026-08-03T04:13:11.813327Z digest=sha256:72537126c8a5094e65f1d4659ebe7a127012f6255ee9a5c9a6656fedbe7b3b17

Observation f136359f-ef73-4be0-bcd3-287c2a0dd5a5 · outbound

This paper cites Score-cam: Score-weighted visual explanations for convolutional neural networks,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Score-cam: Score-weighted visual explanations for convolutional neural networks,

Reference 45

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source=pdf_text observed=2026-08-03T04:13:11.817921Z digest=sha256:c37148a4b69cb30f0cfafbce0e6d219cd1dc689bd3bb53e0df723af15f578a30

Observation cf90607e-3172-4171-b680-ad7a459428fd · outbound

This paper cites Ablation-cam: Visual ex- planations for deep convolutional network via gradient-free localization,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Ablation-cam: Visual ex- planations for deep convolutional network via gradient-free localization,

Reference 46

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Observation 3d93ca58-da77-4d72-b6e8-9067a50a42dc · outbound

This paper cites Axiomatic attribution for deep networks,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Axiomatic attribution for deep networks,

Reference 47

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source=pdf_text observed=2026-08-03T04:13:11.826199Z digest=sha256:29ae5300a360349c3eb8853c3671e35c791ed24ca36ff096d5e4f2b6c464d54f

Observation c0abf3b5-f834-40ce-880f-248fdc539a51 · outbound

This paper cites Smoothgrad: removing noise by adding noise,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Smoothgrad: removing noise by adding noise,

Reference 48

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source=pdf_text observed=2026-08-03T04:13:11.830287Z digest=sha256:d5b16b6417c1a63e394a7ec61f2a049edc11af3d09a423ae55ad767cf06051c0

Observation 23f2dd03-9438-47c8-8188-60338e34d714 · outbound

This paper cites Visualizing and understanding convolutional networks,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Visualizing and understanding convolutional networks,

Reference 49

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Observation e5d573b9-c74c-49f4-b7d9-169f7b0cc7f2 · outbound

This paper cites A unified approach to inter- preting model predictions,.

Explaining AI-Image Detection: What the Heatmap Actually Shows A unified approach to inter- preting model predictions,

Reference 50

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Observation c62d62e8-d257-4dd8-8dc3-b7978bd0c017 · outbound

This paper cites Efficient graph- based image segmentation,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Efficient graph- based image segmentation,

Reference 51

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source=pdf_text observed=2026-08-03T04:13:11.844389Z digest=sha256:e78b826a8aaa8875d3cbab6d270bba0a843535b534ca12638542492483edd8c4

Observation 27c8951f-cb96-4cd4-aaff-7f8977ddf0b6 · outbound

This paper cites Segment anything,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Segment anything,

Reference 52

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source=pdf_text observed=2026-08-03T04:13:11.848496Z digest=sha256:e2dbff8f53678156c15c0d1aa0d3225d2eac0f80303cbe559f6e42081ba0e96b

Observation 7883ff01-f501-485b-abbf-638acf3ad4ba · outbound

This paper cites Quantifying attention flow in transformers,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Quantifying attention flow in transformers,

Reference 53

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source=pdf_text observed=2026-08-03T04:13:11.852790Z digest=sha256:fabc8aa541fa556a800c1a7bd9f62db34e72c7dae5a64c41f1e40ae385345115

Observation e98aec4d-cec7-4fc9-bd46-d9d286882008 · outbound

This paper cites Vit-cx: Causal explanation of vision transformers,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Vit-cx: Causal explanation of vision transformers,

Reference 54

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Observation 1558ea2e-d6fb-4aa6-b83d-e099830f5732 · outbound

This paper cites Legrad: An explainability method for vision transformers via feature formation sensitivity,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Legrad: An explainability method for vision transformers via feature formation sensitivity,

Reference 55

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Observation 132b6802-c522-4314-9ae4-3e584046acce · outbound

This paper cites Token transformation matters: Towards faithful post-hoc explanation for vision transformer,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Token transformation matters: Towards faithful post-hoc explanation for vision transformer,

Reference 56

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Observation b9ee39da-e6ef-4fbe-bc50-151f75fa7933 · outbound

This paper cites Quantus: An explainable ai toolkit for responsible evaluation of neural network explanations and beyond,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Quantus: An explainable ai toolkit for responsible evaluation of neural network explanations and beyond,

Reference 57

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source=pdf_text observed=2026-08-03T04:13:11.868711Z digest=sha256:52f4cead692bce7f61ff83039b6b657fdb229b5c5924366cc8a191e86671e285

Observation 323841ac-c580-43a7-b7f6-b9d6f5c95a94 · outbound

This paper cites The meta-evaluation prob- lem in explainable ai: Identifying reliable estimators with metaquantus,.

Explaining AI-Image Detection: What the Heatmap Actually Shows The meta-evaluation prob- lem in explainable ai: Identifying reliable estimators with metaquantus,

Reference 58

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Observation ce57d919-8465-4859-97d2-18db8b60d34b · outbound

This paper cites A meaningful perturbation metric for evaluating explainability methods,.

Explaining AI-Image Detection: What the Heatmap Actually Shows A meaningful perturbation metric for evaluating explainability methods,

Reference 59

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Observation f377865b-5859-4e87-b676-98bff56c1eef · outbound

This paper cites Saliency benchmarking made easy: Separating models, maps and met- rics,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Saliency benchmarking made easy: Separating models, maps and met- rics,

Reference 60

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Observation 8b493408-246e-4d13-aa90-49b6fa6e6cf6 · outbound

This paper cites Hierar- chical fine-grained image forgery detection and localization,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Hierar- chical fine-grained image forgery detection and localization,

Reference 61

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source=pdf_text observed=2026-08-03T04:13:11.885173Z digest=sha256:d3d241738a8a57b1d7261062697a1a0131bbd09ffbcbbbf9014617d865d4c8d9

Observation b78db149-4e49-4868-8272-7d0e24876c51 · outbound

This paper cites Iml- vit: Benchmarking image manipulation localization by vision transformer,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Iml- vit: Benchmarking image manipulation localization by vision transformer,

Reference 62

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source=pdf_text observed=2026-08-03T04:13:11.889219Z digest=sha256:55a78d28acc1a3df3646af8362f1daf95254bac3c9b6e0cd0e9e800358f861ef

Observation 1c125403-ac22-4636-8984-52156b0edba9 · outbound

This paper cites Learning jpeg compression artifacts for image manipulation detection and localization (cat-net),.

Explaining AI-Image Detection: What the Heatmap Actually Shows Learning jpeg compression artifacts for image manipulation detection and localization (cat-net),

Reference 63

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source=pdf_text observed=2026-08-03T04:13:11.893512Z digest=sha256:04c8363239f90e80b4a630faf8e3825739e62ad3703ef2efaee0db0e50a10e0d

Observation 383fa0a4-4a74-44d6-ae3c-7f810dc65e3a · outbound

This paper cites Casia image tampering detec- tion evaluation database,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Casia image tampering detec- tion evaluation database,

Reference 64

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source=pdf_text observed=2026-08-03T04:13:11.897654Z digest=sha256:d77f4925eb40aa3c5ec0fa66690710f28dc890b87128604ae4524d0dc0740e3e

Observation 3212362b-2a50-48ad-aaba-e5b61729f330 · outbound

This paper cites Imd2020: A large- scale annotated dataset tailored for detecting manipulated images,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Imd2020: A large- scale annotated dataset tailored for detecting manipulated images,

Reference 65

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source=pdf_text observed=2026-08-03T04:13:11.902142Z digest=sha256:af488ab3e9f1adfa3876b2d80db6a4d965478f0240342f2fd9832c219cc45035

Observation 64842b97-1c32-41cb-bee7-8b5501151fff · outbound

This paper cites Au- tosplice: A text-prompt manipulated image dataset for media forensics,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Au- tosplice: A text-prompt manipulated image dataset for media forensics,

Reference 66

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source=pdf_text observed=2026-08-03T04:13:11.906271Z digest=sha256:b68791451253cd06c8388769b6bcdd5fdce524700bc77148dadc8db6ae10969d

Observation b8e46afe-dddf-4306-b24b-994e85eb2f56 · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing,.

Explaining AI-Image Detection: What the Heatmap Actually Shows Magicbrush: A manually annotated dataset for instruction-guided image editing,

Reference 67

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source=pdf_text observed=2026-08-03T04:13:11.910684Z digest=sha256:d5e17b86d520fe54332bd91bbc35d3d0b59fedfcab6d121df6f1c27df1f74d37

Observation 184dbbc4-11a4-43a7-abff-4324a880c2d9 · outbound

This paper cites one reference → one model → one composite prompt → one image.

Explaining AI-Image Detection: What the Heatmap Actually Shows one reference → one model → one composite prompt → one image

Reference 68

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source=pdf_text observed=2026-08-03T04:13:11.915654Z digest=sha256:81daadb5e448d70a51e5b3f8b70b49094370b436047edfaea112e821c6c3e6da

Observation 4a3c5275-5911-4e91-b325-65ab87dee827 · outbound

This paper cites check passed.

Explaining AI-Image Detection: What the Heatmap Actually Shows check passed

Reference 69

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