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Paper Citation Record · LEDGER

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.06354.

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

pith.paper-citation-record.v1
2607.06354 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T08:43:02.726745Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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

53 of 53 outbound references displayed

  • verified exact5
  • verified fuzzy42
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8758c9c-cdcc-4779-a28f-94f8361c7657 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Ntire 2017 challenge on single image super-resolution: Dataset and study, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp

Reference 1

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Observation c97e28bc-b655-45f1-a829-aa4cd750c582 · outbound

This paper cites Ai-generatedvideodetectionviaspatial-temporalanomalylearning,in:ChineseConferenceonPattern Recognition and Computer Vision (PRCV), pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Ai-generatedvideodetectionviaspatial-temporalanomalylearning,in:ChineseConferenceonPattern Recognition and Computer Vision (PRCV), pp

Reference 2

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Observation ae9c025d-f93d-45e2-a03d-5e24aff92461 · outbound

This paper cites Synthbuster: Towards detection of diffusion model generated images.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Synthbuster: Towards detection of diffusion model generated images

Reference 3

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Observation e42615e7-dc4f-439c-85fb-5a5d536ab935 · outbound

This paper cites an unresolved cited work.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation ea171171-6fcc-4e38-8fb6-b3ce8282cf88 · outbound

This paper cites Real-Time Deepfake Detection in the Real-World.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Real-Time Deepfake Detection in the Real-World

Reference 5

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verified exact
local_arxiv, observed 2026-07-08T08:44:45.945791Z

Source-reported events for the cited work

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Observation fdb279f5-ab83-4d02-8833-942343423bd7 · outbound

This paper cites Mmp-2k:Abenchmarkmulti-labeledmacrophotographyimagequalityassessmentdatabase.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Mmp-2k:Abenchmarkmulti-labeledmacrophotographyimagequalityassessmentdatabase

Reference 6

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verified exact
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Observation e6e8e2db-3a4e-420e-bef5-49f6c2231c49 · outbound

This paper cites an unresolved cited work.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 19dc9158-c51d-4c8a-b30e-ef550ae8667a · outbound

This paper cites Dual dataalignment makes ai-generated image detector easier generalizable, in: Advances in Neural Information Processing Systems, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Dual dataalignment makes ai-generated image detector easier generalizable, in: Advances in Neural Information Processing Systems, pp

Reference 8

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verified fuzzy
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Source-reported events for the cited work

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Observation 7f9e7f6a-897b-4fcd-bed7-7c93c6d6878c · outbound

This paper cites Raising the bar of AI-generated image detection with CLIP, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Raising the bar of AI-generated image detection with CLIP, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 9

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Source-reported events for the cited work

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Observation 328fbc46-3182-4825-95c1-e2ee9fcef159 · outbound

This paper cites Raise: A raw images dataset for digital image forensics, in: Proceedings of the ACM Multimedia Systems Conference, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Raise: A raw images dataset for digital image forensics, in: Proceedings of the ACM Multimedia Systems Conference, pp

Reference 10

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Observation 60e07312-c788-4cfd-8c74-435ec11cd465 · outbound

This paper cites 3247–3258.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning 3247–3258

Reference 11

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Source-reported events for the cited work

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Observation 1c9e64eb-b114-4067-bc6f-7ba0bb9e3a7e · outbound

This paper cites Rich models for steganalysis of digital images.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Rich models for steganalysis of digital images

Reference 12

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Source-reported events for the cited work

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Observation 824aa9ab-6f71-4b20-8b21-4c8d5935c4e4 · outbound

This paper cites Generative adversarial nets.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Generative adversarial nets

Reference 13

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Observation ef012c87-9597-496c-b39a-baf784081091 · outbound

This paper cites 20606–20615.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning 20606–20615

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation faca6438-9153-4210-b756-7465c35f9474 · outbound

This paper cites 18685–18694.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning 18685–18694

Reference 15

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Observation 2053208d-995b-4b9b-8eac-ac8068131de3 · outbound

This paper cites 4895–4899.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning 4895–4899

Reference 16

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Source-reported events for the cited work

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Observation ac745d31-a9f4-4613-949e-2799f1ae7436 · outbound

This paper cites Denoising diffusion probabilistic models, in: Advances in Neural Information Processing Systems, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Denoising diffusion probabilistic models, in: Advances in Neural Information Processing Systems, pp

Reference 17

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Source-reported events for the cited work

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Observation 07dd8003-f6ec-46c5-9d7b-da6bfe990b62 · outbound

This paper cites Fusing global and local features for generalized ai-synthesized image detection, in: 2022 IEEE International Conference on Image Processing, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Fusing global and local features for generalized ai-synthesized image detection, in: 2022 IEEE International Conference on Image Processing, pp

Reference 18

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Observation 15a5d56f-3e33-4713-934c-a45d79d7772f · outbound

This paper cites Elucidating the design space of diffusion-based generative models, in: Advances in Neural Information Processing Systems, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Elucidating the design space of diffusion-based generative models, in: Advances in Neural Information Processing Systems, pp

Reference 19

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Source-reported events for the cited work

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Observation e90e8649-457b-4d37-b191-0bdce8b5819e · outbound

This paper cites Supervised contrastive learning, in: Advances in Neural Information Processing Systems, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Supervised contrastive learning, in: Advances in Neural Information Processing Systems, pp

Reference 20

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Source-reported events for the cited work

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Observation 1828db68-7a4d-45dc-bfd5-e1d0109ef611 · outbound

This paper cites Leveraging representations from intermediate encoder-blocks for synthetic image detection, in: Proceedings of the European Conference on Computer Vision, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Leveraging representations from intermediate encoder-blocks for synthetic image detection, in: Proceedings of the European Conference on Computer Vision, pp

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f70b0e6b-9715-42f0-bbba-ac542600144d · outbound

This paper cites Enhanced deep residual networks for single image super-resolution, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Enhanced deep residual networks for single image super-resolution, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp

Reference 22

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raw_fallback, observed 2026-07-08T08:44:46.154076Z

Source-reported events for the cited work

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Observation 30e20ce9-ff65-477b-b1ff-079ab6b2d426 · outbound

This paper cites Microsoft COCO: Common objects in context, in: Proceedings of the European Conference on Computer Vision, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Microsoft COCO: Common objects in context, in: Proceedings of the European Conference on Computer Vision, pp

Reference 23

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raw_fallback, observed 2026-07-08T08:44:46.093894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9ef42bce-5a94-487f-8c8c-4348b54a5dd7 · outbound

This paper cites Detecting generated images by real images, in: European conference on computer vision, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Detecting generated images by real images, in: European conference on computer vision, pp

Reference 24

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raw_fallback, observed 2026-07-08T08:44:46.107761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation df34d789-51fc-4e6f-bfb8-5d671737cc60 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Forgery-aware adaptive transformer for generalizable synthetic image detection, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 25

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verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.041828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9a050505-514b-4d28-a84f-e2eb3746386c · outbound

This paper cites Exploring multi-view pixel contrast for general and robust image forgery localization.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Exploring multi-view pixel contrast for general and robust image forgery localization

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6d9d6fd0-c396-47bb-a8cc-ff0b86ecdf9f · outbound

This paper cites Trustedvideoinpaintinglocalizationviadeepattentivenoiselearning.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Trustedvideoinpaintinglocalizationviadeepattentivenoiselearning

Reference 27

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verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.073800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ba3dd66c-db61-491c-b23c-607eb784ed06 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps, in: Advances in Neural Information Processing Systems, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps, in: Advances in Neural Information Processing Systems, pp

Reference 28

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verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.039096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:45e13d738cdf9c32194cf2a0829266631372955e639115c3287253e11bbc6ce7

Observation d371ef04-b456-44aa-95e6-2f73d3fc902e · outbound

This paper cites Towards universal fake image detectors that generalize across generative models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Towards universal fake image detectors that generalize across generative models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 29

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verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.045305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:100a2a62ea2e31c7268ce118427f17de2c6b84aa550a0313bdc85249352bf1bc

Observation 69fffabd-d37e-420b-b9ba-ad16652cf589 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Representation Learning with Contrastive Predictive Coding

Reference 30

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verified exact
local_arxiv, observed 2026-07-08T08:44:45.955731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fb6f9ef0-a19e-4f28-b433-bc77f78aa458 · outbound

This paper cites BAM: Bottleneck Attention Module.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning BAM: Bottleneck Attention Module

Reference 31

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verified exact
local_arxiv, observed 2026-07-08T08:44:45.948756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:490b147022fe30da8e0bacec40bba35b9e0b27b3db3fedde19bafb22ff9d5ab4

Observation 90a12111-1a97-4cd5-9354-deb3c6575623 · outbound

This paper cites Film:Visualreasoningwithageneralconditioninglayer,in:Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Film:Visualreasoningwithageneralconditioninglayer,in:Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 32

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verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.090397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:8313c539a2e261810e1eff22b7c84d28e0076e14bc0fc74e88deda07a53ef156

Observation 34cfc98b-7536-41e4-85ee-9c732f7a4cb4 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis, in: Proceedings of the International Conference on Learning Representations, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning SDXL: Improving latent diffusion models for high-resolution image synthesis, in: Proceedings of the International Conference on Learning Representations, pp

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.178659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:1b6657036a9d178db4bd12a082359df3571404d8d744159a0336294dab9319fd

Observation bd2e8e56-a15c-4038-9d2f-19cbd083e7fa · outbound

This paper cites Learning transferable visual models from natural language supervision, in: Proceedings of the International Conference on Machine Learning, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Learning transferable visual models from natural language supervision, in: Proceedings of the International Conference on Machine Learning, pp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.183688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:2c4b57096438f1cf4ff35b27ed9df140bc7820c147fb9c4d40e7c0ee365cbf94

Observation 87f238f6-dd1d-49b6-b74a-52f90a2583ee · outbound

This paper cites Aligneddatasetsimprovedetectionoflatentdiffusion-generatedimages,in:Proceedings of the International Conference on Learning Representations.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Aligneddatasetsimprovedetectionoflatentdiffusion-generatedimages,in:Proceedings of the International Conference on Learning Representations

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.188884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:2e805980f7c213baed0d873049c52346ab2779a85afe883b9e84a17ecbe6f05a

Observation 94f1f5db-17c3-4cce-ab2b-56bba3016c6f · outbound

This paper cites Contrastive learning with hard negative samples, in: Proceedings of the International Conference on Learning Representations.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Contrastive learning with hard negative samples, in: Proceedings of the International Conference on Learning Representations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.119262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:eea3f1886bc724814466a9570253fa74d0e4620ec7f85785af57f291b9a8c361

Observation 0b6f2f11-1e76-4873-9b1d-03dbcf5595be · outbound

This paper cites High-resolution image synthesis with latent diffusion models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning High-resolution image synthesis with latent diffusion models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.165924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:20bc6883b12ccae02469b847682eb41e58805c110dac62c0ca78e1c1b3dd74ad

Observation a1345ba3-8b30-4616-b85f-d12ebd026506 · outbound

This paper cites an unresolved cited work.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-07-08T08:44:46.173312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:1236fa8d5d9479b54e4a776ab5c963557f28fac5bc67314be7589b7ff168cd0c

Observation a032d594-5828-4688-9ade-50644b84836d · outbound

This paper cites Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T08:44:45.942416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:ac8a9e241048b131ffff86acaf138f3c09a4cb9f01bbc2debae603d9acdcef4b

Observation 9b7e4316-36c5-4ccb-998c-e2588234b8c5 · outbound

This paper cites 7184–7192.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning 7184–7192

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.138506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:5f27b8e59eabf4846d447886a2aa06e669d9f41588c771fbeaf783c31a946dc4

Observation 31521e78-baef-46c6-9b76-cc38d4fca0c2 · outbound

This paper cites an unresolved cited work.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-07-08T08:44:46.116324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:b9112974965f090a316d0b4a2b632ed5007ee429493377d86da32e18a4f040f2

Observation d3f20299-94ed-4a47-ad1f-5446f437c35f · outbound

This paper cites an unresolved cited work.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-07-08T08:44:46.168312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:0116f95639aa7c3f77e4af1a70396ab73b4f65baa9b11663186270513e035033

Observation 140adb1e-5b81-4d1c-9779-fc496f29c5c8 · outbound

This paper cites Attention is all you need, in: Advances in Neural Information Processing Systems.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Attention is all you need, in: Advances in Neural Information Processing Systems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.170787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:4f8051c31567d11cceecbbebe702edbad6e4954b1863289a5de4f3d127d86a6a

Observation ee87cbf3-59e9-4a01-ac8a-23cf736aa639 · outbound

This paper cites 8695–8704.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning 8695–8704

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.176087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:25f876d57c42ea91a83275356a8d90616fd29e9dac637529b11be153ee3f8146

Observation 2106f81d-91a9-40fb-b337-bd29a70bee93 · outbound

This paper cites Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.110856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:afcd5e883e0c95ecfd6e25afa7daf35a8440aa8d229a2a64502984adb7403389

Observation 9c0e6735-5b3f-4905-9a80-89fae43159a9 · outbound

This paper cites DIRE for diffusion-generated image detection, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning DIRE for diffusion-generated image detection, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.160484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:3c97174d8f9b0568707c9bb1d2f8304b4388063cb690b1fb33d780e263abf599

Observation 17880845-e971-45a4-9664-b91a23acf4cc · outbound

This paper cites A sanity check for AI-generated image detection, in: Proceedings of the International Conference on Learning Representations.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning A sanity check for AI-generated image detection, in: Proceedings of the International Conference on Learning Representations

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.087149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:5f47cc431b0a3011a45eaf4625e8e562960008d936446a2c2bb4d25e56d49c40

Observation b658eaca-143c-49b0-95d7-b9d54323ad18 · outbound

This paper cites Bdd100k:Adiversedrivingdatasetforheterogeneous multitask learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Bdd100k:Adiversedrivingdatasetforheterogeneous multitask learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.163240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:82f31f9cb87214407cce990f1b90f10fc2828429c9023f90f785d0dcd91acb4e

Observation 0d21d890-f16b-415f-8d73-588e33a8f4af · outbound

This paper cites Adding conditional control to text-to-image diffusion models, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Adding conditional control to text-to-image diffusion models, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.077509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:a4042f2e5c5d2cd6af37ff4641ccfcb4365f5674d18a86197059f9fb0f78e2a5

Observation 09d5a5b4-4b69-4008-a9f3-991a464fef44 · outbound

This paper cites Makingconvolutionalnetworksshift-invariantagain,in:ProceedingsoftheInternationalConferenceonMachineLearning, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Makingconvolutionalnetworksshift-invariantagain,in:ProceedingsoftheInternationalConferenceonMachineLearning, pp

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.036382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:db61f5a2a34a34bac596eb4fc2a450e01c6bb6509badc4ed92d465d184044c04

Observation 2aa6cf5d-9645-4d26-a18c-4d7dbcea2235 · outbound

This paper cites Hybrid transformer-cnn for real image denoising.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Hybrid transformer-cnn for real image denoising

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.113407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:65210f6e6318b2c46859909996afa99d465256537d9ec56cc14f489006c4c2bc

Observation 56490a0c-63b5-4c87-b9e5-63e9d766c1e9 · outbound

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

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-07-08T08:44:45.959311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:3a7cb5f8df9b3fb0d048a48464540e7f3489ca69743f4a79df0290706b4d278d

Observation a65a4df3-8504-4bab-8147-50f2c7cfedcb · outbound

This paper cites Genimage: A million-scale benchmark for detecting AI-generated image, in: Advances in Neural Information Processing Systems, pp.

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning Genimage: A million-scale benchmark for detecting AI-generated image, in: Advances in Neural Information Processing Systems, pp

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.064803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T08:43:02.726745Z digest=sha256:c66c7a73534039a2631bf619dbf5943d30bd1d1e597401969cbc39f318fec546

Pith citing papers

No inbound Pith citation observations are available.