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Paper Citation Record · LEDGER

Time Step Generating: A Universal Synthesized Deepfake Image Detector

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2411.11016.

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

pith.paper-citation-record.v1
2411.11016 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:06:51.510447Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:25:36.545753Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:25:36.739512Z

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation fb76b120-759b-4a9f-9e81-20ea7bbd4062 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Denoising dif- fusion probabilistic models

Reference 1

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Observation 7e1c7410-4044-4588-ac9a-dcb0aab7fa44 · outbound

This paper cites Denois- ing diffusion implicit models.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Denois- ing diffusion implicit models

Reference 2

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Observation 7343fc22-e3f7-455e-a04a-67d71169ff96 · outbound

This paper cites Towards more accurate diffusion model acceleration with a timestep tuner.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Towards more accurate diffusion model acceleration with a timestep tuner

Reference 3

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Observation 519e435a-b1ec-4707-9021-c8a4e8e23f9e · outbound

This paper cites Attention-driven training-free efficiency enhancement of diffusion models.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Attention-driven training-free efficiency enhancement of diffusion models

Reference 4

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Observation 40a5f1e9-807d-47ec-aa9f-cef2de221128 · outbound

This paper cites Dif- fusion models without attention.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Dif- fusion models without attention

Reference 5

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Observation 190481af-0632-467c-a66f-a6e7c866b7e7 · outbound

This paper cites Improving train- ing efficiency of diffusion models via multi-stage framework and tailored multi-decoder architecture.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Improving train- ing efficiency of diffusion models via multi-stage framework and tailored multi-decoder architecture

Reference 6

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Observation 9d2a76e2-1970-432a-900b-5069a219f4e8 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Diffusion models beat gans on image synthesis

Reference 7

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Observation d60b6940-e186-460d-93bf-dd867d3e15c3 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Deep unsupervised learning using nonequilibrium thermodynamics

Reference 8

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Observation f609d206-29aa-4b3a-989e-656c7a678855 · outbound

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

Time Step Generating: A Universal Synthesized Deepfake Image Detector High-resolution image synthesis with latent diffusion models

Reference 9

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Observation 96f874fa-2646-48fa-91a4-a7a1b7e67f58 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Improved denoising diffusion probabilistic models

Reference 10

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Observation 40f4f6b1-4da2-4b1b-b08e-afac132d35d9 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Classifier-Free Diffusion Guidance

Reference 11

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Observation 8a82f461-5c9b-4b24-938b-459f545e5495 · outbound

This paper cites Video dif- fusion models.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Video dif- fusion models

Reference 12

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Observation 99e11057-d988-4567-8646-53fc1251df8b · outbound

This paper cites Controlnet ++: Improving conditional controls with efficient consistency feedback.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Controlnet ++: Improving conditional controls with efficient consistency feedback

Reference 13

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Observation 4945a980-899c-42af-8e30-30bf18210d46 · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

Time Step Generating: A Universal Synthesized Deepfake Image Detector ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 14

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Observation 4754ca64-1455-401c-b9f9-2d48518669cf · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Imagic: Text-based real image editing with diffusion models

Reference 15

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Observation 31bebc23-0b25-4d06-8e5d-3fa5540b359f · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Time Step Generating: A Universal Synthesized Deepfake Image Detector In- structpix2pix: Learning to follow image editing instructions

Reference 16

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Observation 2e4ec735-1465-4a97-ae77-042f74b78cbd · outbound

This paper cites Countering malicious deepfakes: Survey, battleground, and horizon.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Countering malicious deepfakes: Survey, battleground, and horizon

Reference 17

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Observation ce7dfe7d-8c3f-4123-a6c8-b1f0d90094f8 · outbound

This paper cites Dire for diffusion-generated image detection.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Dire for diffusion-generated image detection

Reference 18

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Observation 669f0ec8-eafe-4639-9eb2-8cc157ea7b66 · outbound

This paper cites Lareˆ2: Latent reconstruction error based method for diffusion-generated image detection.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Lareˆ2: Latent reconstruction error based method for diffusion-generated image detection

Reference 19

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Observation ce57f6b6-9ce8-409f-83ac-1d193c61073f · outbound

This paper cites Genimage: A million-scale benchmark for de- tecting ai-generated image.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Genimage: A million-scale benchmark for de- tecting ai-generated image

Reference 20

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Observation 42e05469-4911-48c0-ae6e-3e7ba93036ad · outbound

This paper cites Generative adversarial nets.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Generative adversarial nets

Reference 21

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Observation fc9824d5-dcf5-4430-ab71-d68396a026c6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Auto-Encoding Variational Bayes

Reference 22

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Observation 7af29f19-f078-484d-bd8d-b2f66b5c40f6 · outbound

This paper cites Pixart-$\alpha$: Fast training of diffusion transformer for photorealistic text-to-image syn- thesis.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Pixart-$\alpha$: Fast training of diffusion transformer for photorealistic text-to-image syn- thesis

Reference 23

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Observation 2855a749-067a-4c10-8050-a56c83d033d3 · outbound

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

Time Step Generating: A Universal Synthesized Deepfake Image Detector Cnn-generated images are surprisingly easy to spot

Reference 24

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Observation e23a79d8-2201-4485-aa43-c7156d5d147e · outbound

This paper cites What makes fake images detectable? understanding proper- ties that generalize.

Time Step Generating: A Universal Synthesized Deepfake Image Detector What makes fake images detectable? understanding proper- ties that generalize

Reference 25

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Observation 58e3ec4f-b5b5-4e70-8878-2602632e5225 · outbound

This paper cites Adversarial level of face images generated by prompt-based image coding in face recognition system.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Adversarial level of face images generated by prompt-based image coding in face recognition system

Reference 26

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Observation ef3b97bf-7a40-4426-ac50-e9a920cc64d2 · outbound

This paper cites Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection

Reference 27

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Observation ebf0a32c-d7b3-4939-a9eb-5d546ce22f0c · outbound

This paper cites Improving gan-generated image detec- tion generalization using unsupervised domain adaptation.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Improving gan-generated image detec- tion generalization using unsupervised domain adaptation

Reference 28

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Observation e4cc41bc-072e-454c-a2a8-5d57f3ab2f55 · outbound

This paper cites Whodunit: Detection and attribution of synthetic images by leveraging model-specific fingerprints.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Whodunit: Detection and attribution of synthetic images by leveraging model-specific fingerprints

Reference 29

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Observation ec7fb8df-8d8b-499f-ad42-a66d97236f15 · outbound

This paper cites RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection.

Time Step Generating: A Universal Synthesized Deepfake Image Detector RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection

Reference 30

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Observation 27864d7b-cad1-44b0-b8ba-8ffc4d7439cd · outbound

This paper cites Generalizable Synthetic Image Detection via Language-guided Contrastive Learning.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Generalizable Synthetic Image Detection via Language-guided Contrastive Learning

Reference 31

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Observation e3bab450-4c1b-4a5b-93db-4af6de837368 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Learning transferable visual models from natural language supervi- sion

Reference 32

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Observation ee8991d6-4ff6-4919-8057-bea637981a23 · outbound

This paper cites Fakeinversion: Learning to detect images from un- seen text-to-image models by inverting stable diffusion.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Fakeinversion: Learning to detect images from un- seen text-to-image models by inverting stable diffusion

Reference 33

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Observation e0705a22-d9dd-4af1-8d28-3c90b35ab52f · outbound

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

Time Step Generating: A Universal Synthesized Deepfake Image Detector Learning on gradients: Generalized arti- facts representation for gan-generated images detection

Reference 34

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Observation c4c27b90-826d-4837-8c71-044b39ba7c4d · outbound

This paper cites Deep residual learning for image recognition.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Deep residual learning for image recognition

Reference 35

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Source-reported events for the cited work

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Observation f5a09428-282b-40b4-94cb-3a874ca7696e · outbound

This paper cites Large scale GAN training for high fidelity natural image synthe- sis.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Large scale GAN training for high fidelity natural image synthe- sis

Reference 36

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Source-reported events for the cited work

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Observation 900958e1-8e97-41b0-982f-61c714aaea82 · outbound

This paper cites Vec- tor quantized diffusion model for text-to-image synthesis.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Vec- tor quantized diffusion model for text-to-image synthesis

Reference 37

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5265dc56-9a6f-4451-aabb-6e0bcf235085 · outbound

This paper cites Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark

Reference 38

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6dfd8c13-555c-40e5-82c1-13cf0ce7c79d · outbound

This paper cites an unresolved cited work.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Unresolved cited work

Reference 39

Resolution
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Observation 207f72b0-293b-4ae3-b4a9-e0b885a87e77 · outbound

This paper cites Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets.

Time Step Generating: A Universal Synthesized Deepfake Image Detector Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets

Reference 40

Resolution
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Source-reported events for the cited work

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Observation f196fcef-3410-4403-8ea8-0fdc7ff8841b · outbound

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

Time Step Generating: A Universal Synthesized Deepfake Image Detector GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae4cb367-6e63-414f-bd67-a4620f6f08a1 · outbound

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

Time Step Generating: A Universal Synthesized Deepfake Image Detector Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 42

Resolution
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Unavailable: canonical work link unavailable.

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Pith citing papers

Observation c564c42f-7aca-4ea1-b83e-d199c5de1d84 · inbound

Towards Reliable Identification of Diffusion-based Image Manipulations cites this paper.

Towards Reliable Identification of Diffusion-based Image Manipulations Time Step Generating: A Universal Synthesized Deepfake Image Detector

Reference 90

Resolution
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Source-reported events for the cited work

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