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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2507.05162.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.05162 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:15.874299Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

68 of 68 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

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

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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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Source-reported events for the cited work

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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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Observation 82e4463d-aafe-41a0-a31c-31620bec8762 · outbound

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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Observation 8e6138f0-378f-4b6f-806f-e0381946d294 · outbound

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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Source-reported events for the cited work

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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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source=pdf_text observed=2026-08-06T19:36:13.620281Z digest=sha256:cdca5091e1a05a36bbca88f2fae4093c1a38c33c5e33c1eb7bb657e4a4afa9c6

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:13.680591Z digest=sha256:9f38887760ae12ea7c6315a4bcc92456f7a9fd03a0e1406a82ef2fb3adcbd2a1

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:13.737272Z digest=sha256:024e121eef61c41fa387d77778ef454864e7f4f3e3464b20657f81859ef1df46

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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source=pdf_text observed=2026-08-06T19:36:13.812783Z digest=sha256:4e9b0e435a389c250e66fa55f7b30a6c6ee3269fb877e1a14926853768510f9f

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:13.870029Z digest=sha256:6c282810da5a7b45b61a69e3add14a7050145f3054c788d4a5367e2345d17a96

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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source=pdf_text observed=2026-08-06T19:36:13.945614Z digest=sha256:735a9fcae86722a52552cfe32022c97a785765c90a59dc40f8a4d2d0cd3782d4

Observation c529b965-43eb-4898-a9d6-144f22bbf8e3 · outbound

This paper cites Midjourney,.

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

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:13.971940Z digest=sha256:f0b4710e7a6d970ca06f41bc6b56d0f1c0defeeab76f538880eee3fef71a945e

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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source=pdf_text observed=2026-08-06T19:36:14.035071Z digest=sha256:c7d7c018d0ef6855e8377817c15e232a4bc6623734f550e22ca3222c8c5d3d5c

Observation 4d8c2932-0341-4ff3-889b-bd48f117bb5c · outbound

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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source=pdf_text observed=2026-08-06T19:36:14.090887Z digest=sha256:2cb4f51f3983c6338f6f8edea2d57512885635a2a19066a43837c11fec9163fc

Observation 46d6fc0b-cfd7-40cd-b540-16a626339f53 · outbound

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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source=pdf_text observed=2026-08-06T19:36:14.145459Z digest=sha256:8b906efb54e6a8ec6cde57716af87f3e8446d540c44e67c6acddd53619a5f2f4

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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source=pdf_text observed=2026-08-06T19:36:14.214390Z digest=sha256:f4974121f278059a550aad77d59627e83d0bf452574c7aaf01d9c311d634c99c

Observation f10f07b2-cc39-4c82-8d70-f6a7692b3e93 · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:14.264917Z digest=sha256:d3e3a5ca7ad3b7a820f5c67254104a9bdbb1ffdb5a96b752f8ef86bd7d737855

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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source=pdf_text observed=2026-08-06T19:36:14.290776Z digest=sha256:83e072c01cbdae001cc284216a53c6d3a57b3941bc83755864e7a9f097f67a9d

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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source=pdf_text observed=2026-08-06T19:36:14.335204Z digest=sha256:3c3e9177239de3bd3f90891fbfee01079a034725044f47ef06c1bf05e027e2a9

Observation 495161b8-a640-4a59-b9bd-02d0fd80c4af · outbound

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:14.386151Z digest=sha256:c6572f0581bbb3f2d3c7a0328f0cbd1148a242a145dd9d8bffece7dbc6af9496

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:14.444145Z digest=sha256:b06f89505c74329fd19b200d72109fa45482b0cad5ac98cba4caba2a490785cf

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:14.493653Z digest=sha256:585314f3ce851033f7e22314ed047abf0f541682f1088533bb9a56b5e0ecc251

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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source=pdf_text observed=2026-08-06T19:36:14.524946Z digest=sha256:a164c84d152855cb9d52e898375ec8237679da187e2cbe433f7a1dd5542879ff

Observation 2c725970-9428-4749-b00c-bce59b0928a0 · outbound

This paper cites Efficientnetv2: Smaller models and faster training,.

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

Reference 54

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:36:14.575309Z digest=sha256:8f618868bb248b338e4b9d66abd029d1c3f3e5aaef34b56bd3e08d5345a62995

Observation 12e6757f-9dcf-4d18-a11e-46e625bd1169 · outbound

This paper cites Going deeper with convolutions,.

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

Reference 55

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source=pdf_text observed=2026-08-06T19:36:14.625968Z digest=sha256:49023b3226378c192d9f13b55ed13258a3e457a4d94fc214b366c2ee2f69050b

Observation b29a9cc1-c00b-4a78-a975-217f02f4a92b · outbound

This paper cites Mnasnet: Platform-aware neural architecture search for mobile,.

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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raw_fallback, observed 2026-08-06T19:36:17.302962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:14.689200Z digest=sha256:cc8b03685a9067efb43ae416f5a98c91e61cc4ac1d301905b5b4413662316ecc

Observation e9a17fab-4db0-4221-af6c-ef9a43fe741c · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

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

Reference 57

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source=pdf_text observed=2026-08-06T19:36:14.782284Z digest=sha256:91e8791933c487c48f4525301879cfbb198adba5c4f4dd8778756ba3bcd48cb1

Observation ae09c568-e7d0-4c45-8304-eb662248e80e · outbound

This paper cites Searching for mobilenetv3,.

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

Reference 58

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source=pdf_text observed=2026-08-06T19:36:14.898599Z digest=sha256:1872a97015a082e3cf3d3932129f8ba45500911df78750b74502ff5fd64219f7

Observation 4dde7b5a-237b-43bb-a1d7-eda89c568725 · outbound

This paper cites Regnet: self-regulated network for image classification,.

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

Reference 59

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:14.965122Z digest=sha256:ce768072b9eeacfe07da643cb930f30e6ab422bab68c6935193a55d6578b6643

Observation 3a1fbe0c-e4ee-40db-b598-5c16696c3b47 · outbound

This paper cites Shufflenet: An extremely effi- cient convolutional neural network for mobile devices,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:15.087211Z digest=sha256:fa28ccaa23ccd650a9495821b79b2edaa71c6970b4107b6bba813b9565a6616a

Observation e724d4ad-fbb3-46fc-a273-efa75335c55d · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

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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source=pdf_text observed=2026-08-06T19:36:15.171340Z digest=sha256:44ba12c9644fbd00ef9db06a85540615b89f25870991f9f11127b31f96e337fd

Observation 863687ad-5846-4993-93c3-5145cec3fbcd · outbound

This paper cites Co-scale conv-attentional image transformers,.

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

Reference 62

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Observation 019de0d0-8d55-440d-8df8-3fd9ae0f3621 · outbound

This paper cites Edgenext: efficiently amalgamated cnn- transformer architecture for mobile vision applications,.

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

Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:15.334982Z digest=sha256:946fb8797d3c00753257df30c014b7b2d6c13f2894f3312efd17b2f5b795aaff

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

This paper cites Efficientformer: Vision transformers at mobilenet speed,.

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

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:15.428629Z digest=sha256:13ec9a7140e203c39e72d974b0484e74df8f9abd4a339bb38b0b9a6fbf67eb20

Observation e84c91e2-9b54-42de-a705-c26c4ed456d1 · outbound

This paper cites Fastvit: A fast hybrid vision transformer using structural reparameterization,.

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

Reference 65

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raw_fallback, observed 2026-08-06T19:36:16.413817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:15.535332Z digest=sha256:0ff2d91e354288e37db7621665e49d53667bfdc24be24a1c06e21e0e28a90580

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:36:15.636119Z digest=sha256:3ebab214d0f45a026b9c3d195d5b9373bbff14be66bce6042c9f0a652774bfbc

Observation 0f1fe34f-c663-4b6e-9f44-c32ec4e2b895 · outbound

This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:36:15.752787Z digest=sha256:8226c18d91858e5d480e9e2c723fa2e90a2ced0a130ae2783763cfe60bd51838

Observation 0740fd8c-70f7-43da-a3b8-73aea374fe41 · outbound

This paper cites Separable Self-attention for Mobile Vision Transformers.

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

Reference 68

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source=pdf_text observed=2026-08-06T19:36:15.874299Z digest=sha256:d2d3f2ede6c13ed78b0c916e5872fb317475ccae29d335f508a4beafc2d9b130

Pith citing papers

No inbound Pith citation observations are available.