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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

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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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source=pdf_text observed=2026-08-03T23:48:03.416569Z digest=sha256:fed869f2899091b04123e307384fc8cdd7fd8fa1d4d9b207a0f0a5820b289216

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

This paper cites an unresolved cited work.

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

This paper cites Stable diffusion 3.5-large.

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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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:e0bfb9e4cdf09785bf74b1c39ece3ba2b95a86e55e871e4d304823867a6146d2

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

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source=pdf_text observed=2026-08-03T23:48:03.478647Z digest=sha256:d26456baaffb3a1e3c0f9b0f85c6ac013391094c8646e518fb6165c304f95301

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

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source=pdf_text observed=2026-08-03T23:48:03.480714Z digest=sha256:c552d3b355be60bc56a22effc471bd9fe26c1d9ec37be911912e719651be19e1

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:b1e25763f2d3b58c57b50ed284a34508be4f5518b971292c0c94f745a1d6953d

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=sha256:606e5f7cdacd3e245d497eed6ab43468cfde67a2d72380afd6a76b9762da9763

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=sha256:4896b2ee2450a4230ef31a6a37fa7cae674e16bb34c73d8116f1863249149fb4

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:b6c01f672e0943212929c3ec512171ee9c73e73217e4ae9b4b5eeda682e52a86

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=sha256:89b3778a426df2979df049fd03407e6acaffe9c62abfbb94baa92d603d08432a

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=sha256:0751efb1b9b1f949f43fc3accfa32550aaae596c835a8b7f613c71e46844276a

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:c53e01ca102447e773c5597b9ec6df7c0f8a52cc3994809a2e67b27dd65c9121

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=sha256:6d4312f209f8dfcef93c29ff98b1dcfb8832cad2466b8aab577c1c8c3061655a

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=sha256:8eb3edd574f47144511716724bbe24fe97f9fe7af399da72de9f821c6b6987de

Pith citing papers

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