LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains | Paper Citation Record

Observation 8aef61ce-43f1-4b57-bbe3-1f1660caeae8 · outbound

This paper cites Seeing is not always believing: Benchmarking human and model perception of ai-generated images,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Seeing is not always believing: Benchmarking human and model perception of ai-generated images,

Reference 1

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Observation 23466163-97ba-4f90-8e19-ce622f2bf623 · outbound

This paper cites Crafting syn- thetic realities: Examining visual realism and misinformation potential of photorealistic ai-generated images,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Crafting syn- thetic realities: Examining visual realism and misinformation potential of photorealistic ai-generated images,

Reference 2

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Observation d101122c-ce3a-4f7b-a619-dfd95e3099c4 · outbound

This paper cites How spammers and scammers leverage ai-generated images on facebook for audience growth,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains How spammers and scammers leverage ai-generated images on facebook for audience growth,

Reference 3

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Observation 8e5707d9-f298-4727-b904-ef1f43d1a282 · outbound

This paper cites 99 amazing social media statistics and facts,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains 99 amazing social media statistics and facts,

Reference 4

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Observation c04bb7dd-b788-4ff6-92a1-6eba8e45c25c · outbound

This paper cites 3.2 billion images and 720,000 hours of video are shared online daily. can you sort real from fake?.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains 3.2 billion images and 720,000 hours of video are shared online daily. can you sort real from fake?

Reference 5

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Observation b1d8c688-e6c6-4289-b305-199f056cbac3 · outbound

This paper cites Photo statistics: How many photos are taken every day?.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Photo statistics: How many photos are taken every day?

Reference 6

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Observation f5f75f34-1d54-44a8-9b94-0f7f744f9ba0 · outbound

This paper cites Labeling ai-generated images on facebook, instagram and threads,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Labeling ai-generated images on facebook, instagram and threads,

Reference 7

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Observation cdcbbedb-efd8-4575-a1b5-12f50bc689a6 · outbound

This paper cites New labels for disclosing ai-generated content,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains New labels for disclosing ai-generated content,

Reference 8

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Observation 5fb43130-77f8-4010-a7f9-5b10a9235771 · outbound

This paper cites Authenticity,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Authenticity,

Reference 9

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Observation 5f8b1b26-c76d-4287-b47d-e16587a3417f · outbound

This paper cites Ai-generated image detection: Passive or watermark?.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Ai-generated image detection: Passive or watermark?

Reference 10

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Observation 1e69c4a5-1595-4a6f-9ec5-a8c0bae412ee · outbound

This paper cites Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.968428Z

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Observation 8b0749d0-a79c-4112-be4e-6996a0dbf0b8 · outbound

This paper cites Spectral leakage and rethinking the kernel size in cnns,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Spectral leakage and rethinking the kernel size in cnns,

Reference 12

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Observation 16610ec4-2d27-4eda-8d9f-da9e0efabee0 · outbound

This paper cites Beyond the spectrum: Detecting deepfakes via re-synthesis,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Beyond the spectrum: Detecting deepfakes via re-synthesis,

Reference 13

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Observation 5ab23314-e7ba-4d64-9994-21216e7ff5b5 · outbound

This paper cites Bihpf: Bilateral high-pass filters for robust deepfake detection,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Bihpf: Bilateral high-pass filters for robust deepfake detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.947290Z

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Observation 1142ece5-2c10-4657-af02-66b25cfa28b8 · outbound

This paper cites A survey of defenses against ai-generated visual media: Detection, disruption, and authentication,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains A survey of defenses against ai-generated visual media: Detection, disruption, and authentication,

Reference 15

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Observation c3409569-d9fc-4f65-9112-d149d73382b9 · outbound

This paper cites UnMarker: A Universal Attack on Defensive Image Watermarking.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains UnMarker: A Universal Attack on Defensive Image Watermarking

Reference 16

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Observation c39940c0-f018-470f-8797-6421b661d4bd · outbound

This paper cites Hidden: Hiding data with deep networks,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Hidden: Hiding data with deep networks,

Reference 17

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Observation e2e50703-090d-4532-85e2-1557a35a8013 · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains The stable signature: Rooting watermarks in latent diffusion models,

Reference 18

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Observation 0e0e3273-4a89-48bc-994e-72cef75a2fb9 · outbound

This paper cites Wouaf: Weight modulation for user attribution and fingerprinting in text-to-image diffu- sion models,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Wouaf: Weight modulation for user attribution and fingerprinting in text-to-image diffu- sion models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.917305Z

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Observation 120494d0-a725-4d27-9a7a-53cafc97433f · outbound

This paper cites Gaussian shading: Provable performance-lossless image watermarking for diffu- sion models,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Gaussian shading: Provable performance-lossless image watermarking for diffu- sion models,

Reference 20

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Observation 0b677548-f382-4a32-9f20-24e3d74b16c6 · outbound

This paper cites Tree-rings watermarks: Invisible fingerprints for diffusion images,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Tree-rings watermarks: Invisible fingerprints for diffusion images,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.902244Z

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Observation 2dff4569-0e72-4bea-812b-1c453ed9e020 · outbound

This paper cites Deeptag: Robust image tagging for deepfake provenance. arxiv preprint arxiv,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Deeptag: Robust image tagging for deepfake provenance. arxiv preprint arxiv,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.894606Z

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Observation 2a964a51-df88-475b-a572-9b81e6ef8cd0 · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Stegastamp: Invisible hyperlinks in physical photographs,

Reference 23

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Observation 48a0ff9a-bf8f-4499-b361-9b2ecbb0f72b · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Faceforensics++: Learning to detect manipulated facial images,

Reference 24

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Observation ea90e9d6-be1b-402d-96e6-a672950a701b · outbound

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

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Cnn- generated images are surprisingly easy to spot... for now,

Reference 25

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Observation c42446d7-fe16-4d60-9bef-84ae6130879a · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Learning on gradients: Generalized artifacts representation for gan-generated images detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.871097Z

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Observation 29810147-3bd4-4294-955e-dbb00a12b479 · outbound

This paper cites Towards universal fake image detec- tors that generalize across generative models,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Towards universal fake image detec- tors that generalize across generative models,

Reference 27

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Observation 7f44f5be-f955-4d8c-b5a3-bc665b2a1505 · outbound

This paper cites Dire for diffusion-generated image detection,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Dire for diffusion-generated image detection,

Reference 28

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Observation 70197f4f-2c87-4c80-80de-672c7d6446f4 · outbound

This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 29

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Observation 6589f89b-4f12-49fc-868a-91021c875feb · outbound

This paper cites Leveraging frequency analysis for deep fake image recogni- tion,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Leveraging frequency analysis for deep fake image recogni- tion,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.855090Z

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Observation 9817e873-c8ce-4b58-9c67-a6651a515b0c · outbound

This paper cites Attributing fake images to gans: Learn- ing and analyzing gan fingerprints,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Attributing fake images to gans: Learn- ing and analyzing gan fingerprints,

Reference 31

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This paper cites A Sanity Check for AI-generated Image Detection.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains A Sanity Check for AI-generated Image Detection

Reference 32

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

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains De-fake: Detection and attribution of fake images generated by text-to-image generation models,

Reference 33

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Observation b02a2a0e-43b4-44c2-a421-2854f8fea391 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Learning transferable visual models from natural language supervision,

Reference 34

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Observation 722551e5-9d10-4a12-8d8a-5bc67a7b0df1 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Rethinking the inception architecture for computer vision,

Reference 35

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Observation 09b815db-8b81-40d5-82a3-a543e6b26361 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 36

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Observation f2680cf3-20c9-4f6b-8c36-777d68a0ed38 · outbound

This paper cites Fakespotter: A simple yet robust baseline for spotting ai-synthesized fake faces,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Fakespotter: A simple yet robust baseline for spotting ai-synthesized fake faces,

Reference 37

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Observation ffac4546-7533-40e0-a85f-b04dc87957c9 · outbound

This paper cites keras-vggface: Vggface implementation with keras frame- work,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains keras-vggface: Vggface implementation with keras frame- work,

Reference 38

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Observation 5cbfa07f-fce3-489e-b416-4cbdc42bd7be · outbound

This paper cites Detec- tion of ai-generated synthetic images with a lightweight cnn,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Detec- tion of ai-generated synthetic images with a lightweight cnn,

Reference 39

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Observation 0c10a952-4621-4603-9df4-3115cd317c8d · outbound

This paper cites Spottingdiffusion:re using transfer learning to detect latent diffusion model-synthesized images,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Spottingdiffusion:re using transfer learning to detect latent diffusion model-synthesized images,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.803704Z

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Observation e5122e94-6017-4937-b9e6-59cdcda2da9e · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains High- resolution image synthesis with latent diffusion models,

Reference 41

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This paper cites Midjourney,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Midjourney,

Reference 42

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Observation 9cb0955a-7209-4ae5-962e-b2b5c62a64f3 · outbound

This paper cites Zero-shot text-to-image generation,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Zero-shot text-to-image generation,

Reference 43

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

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Genimage: A million-scale benchmark for detecting ai- generated image,

Reference 44

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This paper cites Diffusion models beat gans on image synthesis,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Diffusion models beat gans on image synthesis,

Reference 45

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Observation 8a3fb2a8-9495-47f5-b545-9c056d762b1f · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 46

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This paper cites an unresolved cited work.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Unresolved cited work

Reference 47

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Observation fcb4e166-d672-46ae-8510-05c43a004eac · outbound

This paper cites Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization

Reference 48

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Observation dd614e18-0302-4674-a48c-efe5c03c6d9c · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 49

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This paper cites Models and pre-trained weights,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Models and pre-trained weights,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:18.156313Z

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Observation 9205c83f-3685-49a3-a2f1-746de9112af8 · outbound

This paper cites Pytorch image models,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Pytorch image models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:17.855314Z

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Observation 83d17a15-4e12-45ac-bfe4-d288b25a6460 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Imagenet classification with deep convolutional neural networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:17.553879Z

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Observation 01f97b81-0d8b-4706-b9e7-561052136b45 · outbound

This paper cites Densely connected convolutional networks,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Densely connected convolutional networks,

Reference 53

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Efficientnetv2: Smaller models and faster training,

Reference 54

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Going deeper with convolutions,

Reference 55

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Mnasnet: Platform-aware neural architecture search for mobile,

Reference 56

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 57

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Searching for mobilenetv3,

Reference 58

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Regnet: self-regulated network for image classification,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:17.015925Z

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Shufflenet: An extremely effi- cient convolutional neural network for mobile devices,

Reference 60

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 61

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Co-scale conv-attentional image transformers,

Reference 62

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Edgenext: efficiently amalgamated cnn- transformer architecture for mobile vision applications,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:16.606389Z

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Observation db00f3c3-2989-4904-9ef6-bf3c0c274c9f · outbound

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Efficientformer: Vision transformers at mobilenet speed,

Reference 64

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Fastvit: A fast hybrid vision transformer using structural reparameterization,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:16.413817Z

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Observation d1834797-72c5-47aa-ba04-9cd454c96f14 · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference,.

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Levit: a vision transformer in convnet’s clothing for faster inference,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:36:16.201026Z

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 67

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LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains Separable Self-attention for Mobile Vision Transformers

Reference 68

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