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Paper Citation Record · LEDGER

Robustness of AI-Art Detectors under Generator Shift

As of 17 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2608.11643.

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

pith.paper-citation-record.v1
2608.11643 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:45.271255Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fed5e7d-531b-4b2b-a06c-4e3be51e37da · outbound

This paper cites Parents and chil- dren: Distinguishing multimodal deepfakes from natural images.ACM Trans- actions on Multimedia Computing, Communications and Applications, 21(1):1– 23, 2024.

Robustness of AI-Art Detectors under Generator Shift Parents and chil- dren: Distinguishing multimodal deepfakes from natural images.ACM Trans- actions on Multimedia Computing, Communications and Applications, 21(1):1– 23, 2024

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e052ef55-9007-4b81-a8a0-bd20f2cdb7b8 · outbound

This paper cites Assessing the accuracy of pre- diction algorithms for classification: an overview.Bioinformatics, 16(5):412– 424, 2000.

Robustness of AI-Art Detectors under Generator Shift Assessing the accuracy of pre- diction algorithms for classification: an overview.Bioinformatics, 16(5):412– 424, 2000

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7aa686aa-cef0-4716-9522-15e48a916aa4 · outbound

This paper cites Demystifying MMD GANs.

Robustness of AI-Art Detectors under Generator Shift Demystifying MMD GANs

Reference 3

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Source-reported events for the cited work

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Observation 241c6f9a-58f4-483e-8ea6-8fe16f2f5f67 · outbound

This paper cites Bird and Ahmad Lotfi.

Robustness of AI-Art Detectors under Generator Shift Bird and Ahmad Lotfi

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9b253e4c-64a5-4bf2-9bb0-c522f99df9ac · outbound

This paper cites GenAI et al.

Robustness of AI-Art Detectors under Generator Shift GenAI et al

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 645d04a8-345f-4a4f-91a2-ac9200eaec5a · outbound

This paper cites Large scale GAN train- ing for high fidelity natural image synthesis.https://arxiv.org/abs/1809.

Robustness of AI-Art Detectors under Generator Shift Large scale GAN train- ing for high fidelity natural image synthesis.https://arxiv.org/abs/1809

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7aa9c6c1-9291-4ccd-83ce-b31727816410 · outbound

This paper cites Robust AI-synthesized image detec- tion via multi-feature frequency-aware learning.

Robustness of AI-Art Detectors under Generator Shift Robust AI-synthesized image detec- tion via multi-feature frequency-aware learning

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e1024321-9c71-494e-9ee0-08c27c269878 · outbound

This paper cites Understanding and creating art with AI: Review and outlook.ACM Transactions on Multimedia Computing, Communications, and Applications, 18(2):1–22, 2022.

Robustness of AI-Art Detectors under Generator Shift Understanding and creating art with AI: Review and outlook.ACM Transactions on Multimedia Computing, Communications, and Applications, 18(2):1–22, 2022

Reference 8

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Source-reported events for the cited work

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Observation bfa5bf77-2983-4d07-8cdb-c95847cea6b9 · outbound

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Robustness of AI-Art Detectors under Generator Shift Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 91cc2a38-db97-4cc5-8492-c35a29dfad74 · outbound

This paper cites Discrete Fourier transform in unmasking deepfake images: A comparative study of StyleGAN creations.Information, 15(11):711, 2024.

Robustness of AI-Art Detectors under Generator Shift Discrete Fourier transform in unmasking deepfake images: A comparative study of StyleGAN creations.Information, 15(11):711, 2024

Reference 10

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Source-reported events for the cited work

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Observation 37acb202-4f05-4587-bd3b-f593db8a31b9 · outbound

This paper cites An image is worth 16×16 words: Transformers for image recognition at scale.

Robustness of AI-Art Detectors under Generator Shift An image is worth 16×16 words: Transformers for image recognition at scale

Reference 11

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Source-reported events for the cited work

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Observation 76d89be8-ce37-468f-8450-50e55d86fa55 · outbound

This paper cites RAID: A dataset for testing the adversarial robustness of AI-generated image detectors.https: //arxiv.org/abs/2506.03988, 2025.

Robustness of AI-Art Detectors under Generator Shift RAID: A dataset for testing the adversarial robustness of AI-generated image detectors.https: //arxiv.org/abs/2506.03988, 2025

Reference 12

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Source-reported events for the cited work

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Observation 9c92ba54-0b58-4791-8e49-3bb8329dd7e1 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Robustness of AI-Art Detectors under Generator Shift Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4bf17701-4699-4a36-81e4-39dd402b56b5 · outbound

This paper cites Gatys, Alexander S.

Robustness of AI-Art Detectors under Generator Shift Gatys, Alexander S

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bf0eec8e-0e8a-4983-a23c-f51ae771623d · outbound

This paper cites Generative adver- sarial nets.Advances in Neural Information Processing Systems, pages 2672– 2680, 2014.

Robustness of AI-Art Detectors under Generator Shift Generative adver- sarial nets.Advances in Neural Information Processing Systems, pages 2672– 2680, 2014

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 094a21d8-1eb0-4f9c-acd8-abd3db77fa12 · outbound

This paper cites an unresolved cited work.

Robustness of AI-Art Detectors under Generator Shift Unresolved cited work

Reference 16

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Observation 77a3d54d-cd2f-406b-94ae-4eccf87d1b4a · outbound

This paper cites Deep residual learning for image recognition.

Robustness of AI-Art Detectors under Generator Shift Deep residual learning for image recognition

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 200bc6af-05e8-40cf-b671-4d22267aec6d · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Robustness of AI-Art Detectors under Generator Shift Gaussian Error Linear Units (GELUs)

Reference 18

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Source-reported events for the cited work

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Observation d02df1f0-90b3-4994-b08a-c36086736c54 · outbound

This paper cites CLIPscore: A reference-free evaluation metric for image captioning.

Robustness of AI-Art Detectors under Generator Shift CLIPscore: A reference-free evaluation metric for image captioning

Reference 19

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Source-reported events for the cited work

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Observation ae3dab7c-f18a-4f4f-b535-56ca79d4917b · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local Nash equilibrium.

Robustness of AI-Art Detectors under Generator Shift GANs trained by a two time-scale update rule converge to a local Nash equilibrium

Reference 20

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Source-reported events for the cited work

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Observation 8eb35f42-ce9f-4ead-bb44-6f1da91dc151 · outbound

This paper cites Multimodal LLMs can reason about aes- thetics in zero-shot.

Robustness of AI-Art Detectors under Generator Shift Multimodal LLMs can reason about aes- thetics in zero-shot

Reference 21

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Observation bf0db7bb-c10d-4764-8075-ed5e401f51a1 · outbound

This paper cites Human-art: A versatile human- centric dataset bridging natural and artificial scenes.

Robustness of AI-Art Detectors under Generator Shift Human-art: A versatile human- centric dataset bridging natural and artificial scenes

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c7bacd07-9855-4905-91de-5c15a086a5dd · outbound

This paper cites Characterizing pho- torealism and artifacts in diffusion model-generated images.

Robustness of AI-Art Detectors under Generator Shift Characterizing pho- torealism and artifacts in diffusion model-generated images

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c8c5592d-2207-4466-9676-935a1dab67e5 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Robustness of AI-Art Detectors under Generator Shift A style-based generator architecture for generative adversarial networks

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 346df2b6-2513-4e37-a0ee-07454f2190f8 · outbound

This paper cites BLIP: Bootstrapping language- image pre-training for unified vision-language understanding and generation.

Robustness of AI-Art Detectors under Generator Shift BLIP: Bootstrapping language- image pre-training for unified vision-language understanding and generation

Reference 25

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Source-reported events for the cited work

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Observation c0b187ec-1ddc-4540-bf7b-704482217214 · outbound

This paper cites Detecting AI-generated Artwork.

Robustness of AI-Art Detectors under Generator Shift Detecting AI-generated Artwork

Reference 26

Resolution
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local_arxiv, observed 2026-08-16T00:36:45.436509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d2db4f57-14a4-4393-af89-09ceaeee4bd9 · outbound

This paper cites The ArtBench Dataset: Benchmarking Generative Models with Artworks.

Robustness of AI-Art Detectors under Generator Shift The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 27

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Source-reported events for the cited work

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Observation bf921391-71fe-4335-bd00-dc91b9aa7f76 · outbound

This paper cites Visual instruction tuning.

Robustness of AI-Art Detectors under Generator Shift Visual instruction tuning

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1e2e0a44-ca37-4862-a808-378d3a1a462c · outbound

This paper cites A ConvNet for the 2020s.

Robustness of AI-Art Detectors under Generator Shift A ConvNet for the 2020s

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3f2eab94-6065-4aa4-95ad-49f0f6618da6 · outbound

This paper cites Decoupled Weight Decay Regularization.

Robustness of AI-Art Detectors under Generator Shift Decoupled Weight Decay Regularization

Reference 30

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Source-reported events for the cited work

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Observation c433ddce-fbf3-4645-8c6a-d2648edf1ad7 · outbound

This paper cites Matthews.

Robustness of AI-Art Detectors under Generator Shift Matthews

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9ff54994-3111-4397-bfd8-57a54a5a82af · outbound

This paper cites Inception- ism: Going deeper into neural networks.https://research.google/blog/ inceptionism-going-deeper-into-neural-networks/.

Robustness of AI-Art Detectors under Generator Shift Inception- ism: Going deeper into neural networks.https://research.google/blog/ inceptionism-going-deeper-into-neural-networks/

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5dcb8d7f-ca5c-45ab-b0fe-975588e24ddf · outbound

This paper cites WikiArt.https://www.kaggle.com/datasets/steubk/ wikiart.

Robustness of AI-Art Detectors under Generator Shift WikiArt.https://www.kaggle.com/datasets/steubk/ wikiart

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.138708Z digest=sha256:a587c56a1089234be9e80adc3c36f66ed86e02fc2abdd3b8759a4c9b3723c555

Observation ad70d66c-eab3-42b9-9c5d-b319714de47c · outbound

This paper cites Artificial intelligence risk management framework (AI RMF 1.0).https: //nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf, 2023.

Robustness of AI-Art Detectors under Generator Shift Artificial intelligence risk management framework (AI RMF 1.0).https: //nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf, 2023

Reference 34

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raw_fallback, observed 2026-08-16T00:36:46.097200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.144835Z digest=sha256:bd2f1a6d1f485035fba1fbb05b037b340a60aea73c33a1229cc6a1182475fdd7

Observation 11f73717-298b-4455-abd6-d41810d1941b · outbound

This paper cites an unresolved cited work.

Robustness of AI-Art Detectors under Generator Shift Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:36:46.079247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.149861Z digest=sha256:decd5cab0a8cb61efd08e3f0f0c393bd9956c2bec8ac644c72307099c4867884

Observation afb7de40-1e1f-4438-9ac3-9564274d1c26 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library.

Robustness of AI-Art Detectors under Generator Shift PyTorch: An imperative style, high-performance deep learning library

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:46.063255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.154776Z digest=sha256:66e61e298cf3d53c8856b8eabd3a80362ea6ab33735ab2cd62b0400256590b28

Observation ac658cc2-6acc-48fa-989f-95482cd6f0d4 · outbound

This paper cites Scalable diffusion models with transform- ers.

Robustness of AI-Art Detectors under Generator Shift Scalable diffusion models with transform- ers

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:46.046089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.165259Z digest=sha256:fe77dfe0a7c86640cae9453d4702a7afe5fbfdf8f6cf30192b10533c157ab2ed

Observation 3fb43b3d-d53f-4905-b6c0-858d9a3fe4cc · outbound

This paper cites pharmapsychotic/clip-interrogator.https://github.

Robustness of AI-Art Detectors under Generator Shift pharmapsychotic/clip-interrogator.https://github

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:46.028042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.169105Z digest=sha256:1e6f3fa22a7c74df623f6b66cf8066183e55efce3189298f062b53d6cd65de6d

Observation ce0442d5-54fa-4fac-b976-f47776377a06 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Robustness of AI-Art Detectors under Generator Shift Learning transferable visual models from natural language supervision

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:46.011949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.173075Z digest=sha256:9015e9c8255e30a25257ccaefeff91ea55e58fa22fefe44f4b7d7d2168be568b

Observation 3a04e61e-abfc-498e-9087-b075d5faeaa1 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of Machine Learning Research, 21(140):1–67, 2020.

Robustness of AI-Art Detectors under Generator Shift Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of Machine Learning Research, 21(140):1–67, 2020

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.996987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.177126Z digest=sha256:b1d3a1776a1ab97a1869bad043af5048eaf26f16522c61d1079336ce02ba36c6

Observation a9006a9c-3b8d-4790-ad47-8444847b85ba · outbound

This paper cites Artifact: A large-scale dataset with artificial and factual images for generalizable and robust synthetic image detection.

Robustness of AI-Art Detectors under Generator Shift Artifact: A large-scale dataset with artificial and factual images for generalizable and robust synthetic image detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.973666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.182484Z digest=sha256:5ba2d5c9118f8cd37f4b34b6e77a346b308e745b3c3c40fa5e36b7c4607f7c32

Observation 1ede804d-800e-45d2-8f87-ebef9704edd6 · outbound

This paper cites Zero-shot text-to-image generation.

Robustness of AI-Art Detectors under Generator Shift Zero-shot text-to-image generation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.957950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.186672Z digest=sha256:d94fe05776d48b2398d2e67015d94deb5333a810e832ebbf48e98d6d98fb8a39

Observation 4a0491ea-2a38-4858-9c6b-7ad88557df7c · outbound

This paper cites Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation.

Robustness of AI-Art Detectors under Generator Shift Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:36:45.371445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.192027Z digest=sha256:d3b2fdb3048dd978b40785af5b5c8528e9205a666c5af758ea93e122b414b428

Observation c1ca6d3d-618a-48e9-831e-17ad1477cc67 · outbound

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

Robustness of AI-Art Detectors under Generator Shift High-resolution image synthesis with latent diffusion models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.939123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.196208Z digest=sha256:e42e642c9c654da99f5888cd5ab2af907ef08f2bf252341d3fbbcfc8cea1f09d

Observation e530cfce-d0bd-4b56-ba8e-3e90819c1a17 · outbound

This paper cites Ethical considerations and implications of generative AI in computer graphics.IEEE Computer Graphics and Applications, 45:78–89, 2025.

Robustness of AI-Art Detectors under Generator Shift Ethical considerations and implications of generative AI in computer graphics.IEEE Computer Graphics and Applications, 45:78–89, 2025

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.922902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.201578Z digest=sha256:f157bf7b1cf282d9dde9bafe0a2ea0cd2f8982826e6bc1beef03d8643a2718bd

Observation b54fe02d-84fb-422c-bfe0-075003de978c · outbound

This paper cites Imagenet large scale visual recog- nition challenge.International Journal of Computer Vision, 115(3):211–252, 2015.

Robustness of AI-Art Detectors under Generator Shift Imagenet large scale visual recog- nition challenge.International Journal of Computer Vision, 115(3):211–252, 2015

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.907088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.205546Z digest=sha256:f315a93cc80ce068120c3b678f349798069c0429fc80fdb41ca60fc90aecc689

Observation d29831e6-c531-4df9-bd1b-4898f3cff4ad · outbound

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

Robustness of AI-Art Detectors under Generator Shift Grad-CAM: Visual explanations from deep networks via gradient-based localization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.894205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.210734Z digest=sha256:c135cefa90222c131d83e21e4a46f4a1ba7f6ef935b3845cd9a8b8eefdfaab46

Observation 2d1a84fe-02db-4419-b008-d2505ad22281 · outbound

This paper cites Glaze: Protecting artists from style mimicry by{Text-to-Image}models.

Robustness of AI-Art Detectors under Generator Shift Glaze: Protecting artists from style mimicry by{Text-to-Image}models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.877980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.216028Z digest=sha256:430a72a3c6a2075707284e3d843b3eb1a16190b86e9c64972b0fcd7c5a8e2531

Observation e38bf136-d513-4b43-ad71-f88f9cf9fd6c · outbound

This paper cites ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style.

Robustness of AI-Art Detectors under Generator Shift ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:45.220282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:36:45.220282Z digest=sha256:86079162eb6a8f12e93a3a7e1bf422e45318cfb1300e7a253a4507c7ebbb5175

Observation 439d04b8-2783-4b9a-8ecf-972fbbde2c82 · outbound

This paper cites Semantic visual anomaly detection and reasoning in AI-generated images.

Robustness of AI-Art Detectors under Generator Shift Semantic visual anomaly detection and reasoning in AI-generated images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.861195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.225645Z digest=sha256:960c78a2a14ec98c246568f84fee996886422a57c6de8604a111b6784cd212c9

Observation 517ad923-8679-41cc-9fdb-e8763e3c95ee · outbound

This paper cites EfficientNet: Rethinking model scaling for convo- lutional neural networks.

Robustness of AI-Art Detectors under Generator Shift EfficientNet: Rethinking model scaling for convo- lutional neural networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.845365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.230082Z digest=sha256:5bc50f179e17f6107f4461376a06dbbcf774e0ec54ff7beecb962973116caf51

Observation 7aae79bc-67dc-4935-8fd0-6046de4f2aa4 · outbound

This paper cites CNN-generated images are surprisingly easy to spot...for now.

Robustness of AI-Art Detectors under Generator Shift CNN-generated images are surprisingly easy to spot...for now

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.829233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.236361Z digest=sha256:fbb51379aec9c0bde61ea6d72338af19ccc020af9c487bdbae3e0ae2d39e85d6

Observation eb919ed0-6a54-4e77-80e9-55ecaafb29ea · outbound

This paper cites DIRE for diffusion- generated image detection.

Robustness of AI-Art Detectors under Generator Shift DIRE for diffusion- generated image detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.814575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.240817Z digest=sha256:5dbcaa58c4d59497868ccbd15cb21c80364de89b905313fa108891c31a72b03c

Observation 12a927c7-6b4f-4c5e-9c7b-63aeb3b20984 · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

Robustness of AI-Art Detectors under Generator Shift Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.797721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.244840Z digest=sha256:53d22a31a82214ad1347a3ee393abea35c6b9dc22db0280e6bfa780db9dbd9af

Observation c12968b0-1040-44eb-86d2-fa7841932fde · outbound

This paper cites Transformers: State-of- the-art natural language processing.

Robustness of AI-Art Detectors under Generator Shift Transformers: State-of- the-art natural language processing

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.778082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.250168Z digest=sha256:00e9315725bc01fda8601d1714ef6cf74abbb0a4102627b2ec664c963047a231

Observation 0f76f3df-1f6e-4aac-8b09-25030bbe3acd · outbound

This paper cites Diffusion models: A comprehen- sive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023.

Robustness of AI-Art Detectors under Generator Shift Diffusion models: A comprehen- sive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.761148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.254870Z digest=sha256:ff8a6f5350e0fdaad18f26d2f8ae6dba000e777cc2075ee0c3ca7f5cdb91ae5a

Observation 5124aefe-89eb-4f93-b6fa-bd3a33e82777 · outbound

This paper cites The unreasonable effec- tiveness of deep features as a perceptual metric.

Robustness of AI-Art Detectors under Generator Shift The unreasonable effec- tiveness of deep features as a perceptual metric

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.745804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.259116Z digest=sha256:d93f998dd7c3d08212786171b1d67d7f4c6fa0accb20027db1520a9c3d20a4a2

Observation d116f7a6-c73a-4d55-9ec3-5033c09ac7a1 · outbound

This paper cites Detecting and Simulating Artifacts in GAN Fake Images.

Robustness of AI-Art Detectors under Generator Shift Detecting and Simulating Artifacts in GAN Fake Images

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.728261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.263236Z digest=sha256:b3ccdd0a56ae913b3808ca270a2314d1091ac7941b22d36a9a29f458fbad2b9f

Observation f28707e9-226e-4c18-8b6a-32559b425282 · outbound

This paper cites Generative artificial intelligence, human creativity, and art.PNAS Nexus, 3(3):pgae052, 2024.

Robustness of AI-Art Detectors under Generator Shift Generative artificial intelligence, human creativity, and art.PNAS Nexus, 3(3):pgae052, 2024

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.712284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.267071Z digest=sha256:eda0539aa47a1f12b1a34d39e93336a843acc06a81e1bba3f437a9d85182f4a2

Observation 0c32147a-c8e8-4bd2-a8eb-f4718b7f78f9 · outbound

This paper cites Genimage: A million-scale benchmark for detecting AI-generated image.Advances in Neural Information Processing Systems, pages 77771–77782, 2023.

Robustness of AI-Art Detectors under Generator Shift Genimage: A million-scale benchmark for detecting AI-generated image.Advances in Neural Information Processing Systems, pages 77771–77782, 2023

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:45.693584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:36:45.271255Z digest=sha256:8a221663b573d58aac72385018b89e98cc9094d81d507a0f9471734589bbae46

Pith citing papers

No inbound Pith citation observations are available.