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Paper Citation Record · LEDGER

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2511.04260.

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

pith.paper-citation-record.v1
2511.04260 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:48:03.499352Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation fc50c2ac-f806-4883-83d3-0ec0d6766d30 · outbound

This paper cites Generative adversarial nets.Advances in Neural Information Processing Systems, 27, 2014.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Generative adversarial nets.Advances in Neural Information Processing Systems, 27, 2014

Reference 1

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Observation be9f35c7-b406-4d9b-af8c-fa3578a912d7 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 2

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Observation 33848501-a47f-4394-b95b-c13179d3e1b4 · outbound

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

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery High-resolution image synthesis with latent diffusion models

Reference 3

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Observation acca4f19-222c-4070-ac54-186f717d95cd · outbound

This paper cites Deepfake detection in the aigc era: A survey, benchmarks, and future perspectives.Information Fusion, page 103740, 2025.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Deepfake detection in the aigc era: A survey, benchmarks, and future perspectives.Information Fusion, page 103740, 2025

Reference 4

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Observation e072250e-99b8-46a9-9f76-04eba742b38b · outbound

This paper cites Media forensics and deepfakes: An overview.IEEE journal of selected topics in signal processing, 14(5):910–932, 2020.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Media forensics and deepfakes: An overview.IEEE journal of selected topics in signal processing, 14(5):910–932, 2020

Reference 5

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Observation 71b3351d-0b28-4e03-af1b-f889edcd9a97 · outbound

This paper cites Deepfake detection by analyzing convolutional traces.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Deepfake detection by analyzing convolutional traces

Reference 6

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Observation bbc9b45d-7725-4679-bac6-bce259810863 · outbound

This paper cites FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 7

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Observation 80ebc23e-8fa5-4d8e-86a6-6cedb1255584 · outbound

This paper cites Deepfake Attribution: On the Source Identification of Artificially Generated Images.Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(3): e1438, 2022.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Deepfake Attribution: On the Source Identification of Artificially Generated Images.Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(3): e1438, 2022

Reference 8

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Observation 86b25d1f-7a43-4435-a205-de34b372e24b · outbound

This paper cites Tiny Autoencoders are Effective Few-Shot Generative Model Detectors.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Tiny Autoencoders are Effective Few-Shot Generative Model Detectors

Reference 9

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Observation 5b1fca2b-5891-448f-a021-deb3ac333a12 · outbound

This paper cites On the Detection of Synthetic Images Generated by Diffusion Models.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery On the Detection of Synthetic Images Generated by Diffusion Models

Reference 10

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Observation c54d205c-5f7d-4add-9e6f-e909bed54ba2 · outbound

This paper cites BOSC: A Backdoor-Based Framework for Open Set Synthetic Image Attribution.IEEE Transactions on Information Forensics and Security, 20:8043–8058, 2025.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery BOSC: A Backdoor-Based Framework for Open Set Synthetic Image Attribution.IEEE Transactions on Information Forensics and Security, 20:8043–8058, 2025

Reference 11

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Observation 9fe106c1-978b-4173-9572-e5bfef25e249 · outbound

This paper cites Exploiting the Signal-Leak Bias in Diffusion Models.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Exploiting the Signal-Leak Bias in Diffusion Models

Reference 12

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Observation 4f37d8cc-86fc-4b8c-9459-a0d36e379607 · outbound

This paper cites Exploring unbiased deepfake detection via token-level shuffling and mixing.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Exploring unbiased deepfake detection via token-level shuffling and mixing

Reference 13

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Observation e77afeea-f73b-456c-9b8e-2a4e2abfe7c7 · outbound

This paper cites Adaptive test-time semantic debiasing for ai-generated image detection.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Adaptive test-time semantic debiasing for ai-generated image detection

Reference 14

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Observation 25c33e81-e269-4c4c-9a78-5523803cb750 · outbound

This paper cites Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Reference 15

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Observation 4709c5e7-ecc1-43a5-b016-9b3d4e8543a5 · outbound

This paper cites Contrastive Pseudo Learning for Open-World Deepfake Attribution.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Contrastive Pseudo Learning for Open-World Deepfake Attribution

Reference 16

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Observation b1d7adfa-5a79-4826-ba8f-8194ee624a1b · outbound

This paper cites Do DeepFake Attribution Models Generalize? InProceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation, pages 45–54, 2025.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Do DeepFake Attribution Models Generalize? InProceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation, pages 45–54, 2025

Reference 17

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Observation 8f1ab6fb-7fc7-43cb-9a05-31217b65147f · outbound

This paper cites Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning

Reference 18

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Observation ce34f837-0dab-4293-b8e2-bac7df38f755 · outbound

This paper cites Present and Future Generalization of Synthetic Image Detectors.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Present and Future Generalization of Synthetic Image Detectors

Reference 19

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Observation e38447d8-6aa8-468e-89e4-b5056de9cae5 · outbound

This paper cites How to Trace Latent Generative Model Generated Images without Artificial Watermark? InInternational Conference on Machine Learning, pages 51396–51414.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery How to Trace Latent Generative Model Generated Images without Artificial Watermark? InInternational Conference on Machine Learning, pages 51396–51414

Reference 20

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Observation f4fcde58-6536-46d0-b3ba-19247071e66a · outbound

This paper cites Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution

Reference 21

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Observation 427d7551-bfa6-4f7a-8fb9-04c05bd59b6b · outbound

This paper cites Rethinking the Up- Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Rethinking the Up- Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

Reference 22

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Observation 64191dc0-8f28-484d-9191-3729fc850e19 · outbound

This paper cites LATTE: Latent Trajectory Embedding for Diffusion-Generated Image Detection.arXiv preprint arXiv:2507.03054, 2025.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery LATTE: Latent Trajectory Embedding for Diffusion-Generated Image Detection.arXiv preprint arXiv:2507.03054, 2025

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Observation c81c3964-5150-45d3-bab5-c293b0e7da47 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Deep Residual Learning for Image Recognition

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Observation 871b751d-0daa-47d9-9935-2d835466cb87 · outbound

This paper cites WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution

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Observation f16c94d6-7792-4ba5-9a88-c3b4aa7ef146 · outbound

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Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Unresolved cited work

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Observation d7c8f4d7-c2a6-4584-ab20-751c0517a676 · outbound

This paper cites Improving image generation with better captions.OpenAI Technical Report, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Improving image generation with better captions.OpenAI Technical Report, 2024

Reference 27

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Observation 5e64b945-7952-4937-b81d-7ceca505c546 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Flux.https://github.com/black-forest-labs/flux, 2024

Reference 28

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Observation 8106af89-cb58-4796-a757-c57a1ef25cc9 · outbound

This paper cites FLUX 1.1 [pro]: Advanced Text-to-Image Generation Model, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery FLUX 1.1 [pro]: Advanced Text-to-Image Generation Model, 2024

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Observation 847c032b-fc36-44b3-a9df-086266339699 · outbound

This paper cites Freepik AI Image Generator, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Freepik AI Image Generator, 2024

Reference 30

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Observation 9a834bf7-d9c3-4f21-bd6c-56f20558c5e8 · outbound

This paper cites Leonardo AI: AI-Powered Creative Image Generation Platform, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Leonardo AI: AI-Powered Creative Image Generation Platform, 2024

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Observation 646964fa-e739-453c-91ea-08f4036e5020 · outbound

This paper cites MidJourney: An AI-powered image generation tool, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery MidJourney: An AI-powered image generation tool, 2024

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Observation 8a4633dd-20d2-4883-a848-b8a8f86e0ada · outbound

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Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Stable diffusion 3.5-large

Reference 33

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Observation 9379b809-689f-469d-8538-9f8ea8861f88 · outbound

This paper cites Using diffusers: Sdxl turbo, 2023.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Using diffusers: Sdxl turbo, 2023

Reference 34

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Observation 52f1ff94-cd92-4018-9410-beb9a9286024 · outbound

This paper cites Starry ai, 2023.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Starry ai, 2023

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source=pdf_text observed=2026-08-03T23:48:03.474379Z digest=sha256:0eb64f40a1a424a056e8270d9e1c5339b948816f29b74707dfd36395f27e6a58

Observation e343fc6e-b8ed-4bc9-a304-3693b1a679ee · outbound

This paper cites Zero-Shot Text-to-Image Generation.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Zero-Shot Text-to-Image Generation

Reference 36

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source=pdf_text observed=2026-08-03T23:48:03.476241Z digest=sha256:d1ce2094162e62afcb283e95b504320cc7f59d82414b2fcf9c1db77d2cd3ced5

Observation 340be8fd-57f0-4e61-aeef-dbabd3818607 · outbound

This paper cites DeepAI Text-to-Image Generator, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery DeepAI Text-to-Image Generator, 2024

Reference 37

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source=pdf_text observed=2026-08-03T23:48:03.478647Z digest=sha256:34ac08d3858a5c792d5f96f757f20452a0eb6716ef6dc0c675057e469fdfb7ed

Observation f8862230-a86e-4574-8843-d1a9982d5a04 · outbound

This paper cites HotPot AI: AI-Powered Image and Text Generation Tools, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery HotPot AI: AI-Powered Image and Text Generation Tools, 2024

Reference 38

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source=pdf_text observed=2026-08-03T23:48:03.480714Z digest=sha256:f38e239acf32853f0d4402ab2f0092331152b2a7d78a1eaa42fbb785302f675e

Observation 833fcf7c-8958-4bf5-afb9-9e291fc1ce89 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 39

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source=pdf_text observed=2026-08-03T23:48:03.483001Z digest=sha256:f603b95662f2768ec5f2fb42d18fe6f1aa9897e452aa4907da0c7c624467d6cf

Observation 6b4cf6a1-b091-46c1-bde1-9326f71ef263 · outbound

This paper cites Richter, Christopher Pal, and Marc Aubreville.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Richter, Christopher Pal, and Marc Aubreville

Reference 40

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source=pdf_text observed=2026-08-03T23:48:03.485200Z digest=sha256:f12a28c67cbf69be8b632b9001482b882a2d527040e23190fbbe2a2d9418246e

Observation 515bf0df-7e87-47bf-b020-dc438af365a2 · outbound

This paper cites Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Reference 41

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source=pdf_text observed=2026-08-03T23:48:03.487057Z digest=sha256:015bf55ef77770f86cbb0465100390758fcdeb596fcd161f9e37be697131ede8

Observation 621c0f47-77e5-4965-a424-59f432c5f8e7 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 42

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source=pdf_text observed=2026-08-03T23:48:03.489173Z digest=sha256:efaacdd1308f5afc33f20da55a8dddce2d69fdcea8200028cdf4b782d5550155

Observation 3ef082ce-e24c-4165-9de8-383db9a17490 · outbound

This paper cites Analyzing and Improving the Image Quality of StyleGAN.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Analyzing and Improving the Image Quality of StyleGAN

Reference 43

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source=pdf_text observed=2026-08-03T23:48:03.491403Z digest=sha256:69f6d3b4a60eccce5a339ea4d04ea58dd2eef1c85fffa49f833ce39e2b82b0c8

Observation 9e8acfca-ec89-477d-b693-57cc233774dd · outbound

This paper cites Alias-free generative adversarial networks.Advances in neural information processing systems, 34:852–863, 2021.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Alias-free generative adversarial networks.Advances in neural information processing systems, 34:852–863, 2021

Reference 44

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source=pdf_text observed=2026-08-03T23:48:03.493514Z digest=sha256:3ab65c06fd82190d317597a213c0c2dd012c22b83b1a61e778a6e13e3ab5c0d4

Observation 322005dd-6af4-482b-8815-b0f33a7eff60 · outbound

This paper cites Hunyuan-dit: A powerful multi-resolution diffusion transformer with fine-grained chinese understanding, 2024.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Hunyuan-dit: A powerful multi-resolution diffusion transformer with fine-grained chinese understanding, 2024

Reference 45

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source=pdf_text observed=2026-08-03T23:48:03.495536Z digest=sha256:0747f2a44d90966d2fdf2a9b9c15703a16c2a22cc28a405c67678dfa65bc8f6d

Observation 15011ca1-7fb9-474f-8950-185b7db9e435 · outbound

This paper cites Deep Learning Face Attributes in the Wild.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Deep Learning Face Attributes in the Wild

Reference 46

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source=pdf_text observed=2026-08-03T23:48:03.497457Z digest=sha256:b8aaea1beb8f4a35e6d60aaebc0ae9279aee0002c5b0547d5ed5819175ca147e

Observation ae71042b-6604-4d75-87cd-ea495100e742 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 47

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source=pdf_text observed=2026-08-03T23:48:03.499352Z digest=sha256:a0d747cbb032b1d4790ff2698c76e34041f003bed2e945e894946841d8fe9e4c

Pith citing papers

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