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Paper Citation Record · LEDGER

Few-Shot Learner Generalizes Across AI-Generated Image Detection

As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 3 inbound Pith citation observations for arXiv:2501.08763.

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

pith.paper-citation-record.v1
2501.08763 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:22:20.241612Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:07:49.378649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:22:34.830470Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy35
  • unresolved18
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6b0354e-f970-48aa-a435-3e1f16f39850 · outbound

This paper cites In https://www.midjourney.com/home/, 2022.

Few-Shot Learner Generalizes Across AI-Generated Image Detection In https://www.midjourney.com/home/, 2022

Reference 1

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Observation 1bfe3d49-9962-4849-a525-3292f0360796 · outbound

This paper cites In https://xihe.mindspore.cn/modelzoo/wukong, 2022.

Few-Shot Learner Generalizes Across AI-Generated Image Detection In https://xihe.mindspore.cn/modelzoo/wukong, 2022

Reference 2

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Observation c2e0b25f-14e1-4be1-9f1e-299e2c31d778 · outbound

This paper cites Aunet: Learning relations between action units for face forgery detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Aunet: Learning relations between action units for face forgery detection

Reference 3

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Observation d714f3d6-24cb-4c4e-b5cb-5c2d64c5aea6 · outbound

This paper cites ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T20:22:20.051800Z digest=sha256:c76866462f1b50df0ab5b40ed505f0787bd09583c2a743c2b43dabf785faab7b

Observation 3cdd098c-c4d7-450c-9cb4-7286acf240af · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Large scale GAN training for high fidelity natural image synthesis

Reference 5

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Source-reported events for the cited work

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Observation aaa702e2-0d47-4c13-a024-89f7bc3cb4fb · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection Fakeinversion: Learning to detect images from unseen text-to-image models by inverting stable diffusion

Reference 6

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Source-reported events for the cited work

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Observation 13539943-5f99-4bd3-a1d6-1781d7214b17 · outbound

This paper cites What makes fake images detectable? understanding properties that generalize.

Few-Shot Learner Generalizes Across AI-Generated Image Detection What makes fake images detectable? understanding properties that generalize

Reference 7

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Source-reported events for the cited work

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Observation 7cf142ad-ae46-4c6a-82b0-c2b3918abd20 · outbound

This paper cites A Single Simple Patch is All You Need for AI-generated Image Detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection A Single Simple Patch is All You Need for AI-generated Image Detection

Reference 8

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Source-reported events for the cited work

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Observation fd867de5-8558-4c88-be76-667f3280df10 · outbound

This paper cites On the detection of synthetic images generated by diffusion models.

Few-Shot Learner Generalizes Across AI-Generated Image Detection On the detection of synthetic images generated by diffusion models

Reference 9

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Source-reported events for the cited work

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Observation 8cd9445d-5a8f-4384-9e82-09a62e119955 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Imagenet: A large-scale hierarchical image database

Reference 10

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Source-reported events for the cited work

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Observation 2b15229b-b94c-451d-a2ad-bd4c575791aa · outbound

This paper cites and Nichol, A.

Few-Shot Learner Generalizes Across AI-Generated Image Detection and Nichol, A

Reference 11

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Source-reported events for the cited work

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Observation 71549169-e2d6-44e1-84ed-04cdc61b10b3 · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection Scaling rectified flow transformers for high-resolution image synthesis

Reference 12

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Source-reported events for the cited work

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Observation c2839202-418f-4dca-97c7-d79ecb718365 · outbound

This paper cites J., Pouget - Abadie, J., Mirza, M., Xu, B., Warde - Farley, D., Ozair, S., Courville, A.

Few-Shot Learner Generalizes Across AI-Generated Image Detection J., Pouget - Abadie, J., Mirza, M., Xu, B., Warde - Farley, D., Ozair, S., Courville, A

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 8ecdab7a-e60a-46ec-aa77-452c41ee9306 · outbound

This paper cites Are GAN generated images easy to detect? A critical analysis of the state-of-the-art.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Are GAN generated images easy to detect? A critical analysis of the state-of-the-art

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 83e9132b-2524-4e67-bfea-20567715cf2f · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection Vector quantized diffusion model for text-to-image synthesis

Reference 15

Resolution
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Source-reported events for the cited work

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Observation fce8518a-848f-417a-984a-f92394f4ddc4 · outbound

This paper cites Deep residual learning for image recognition.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Deep residual learning for image recognition

Reference 16

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Source-reported events for the cited work

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Observation 4843bb17-46de-476a-beeb-baaee8671fde · outbound

This paper cites Classifier-Free Diffusion Guidance.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Classifier-Free Diffusion Guidance

Reference 17

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Observation af855eab-a140-4bc3-ab8c-ab2f3e86ba1c · outbound

This paper cites Denoising diffusion probabilistic models.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Denoising diffusion probabilistic models

Reference 18

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Source-reported events for the cited work

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Observation 4adbeb3b-dda4-4ec9-b43d-1d6d10390d36 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Analyzing and improving the image quality of stylegan

Reference 19

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Source-reported events for the cited work

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Observation 6f118064-d807-4e79-b0ac-470893150184 · outbound

This paper cites Bi-LORA: A Vision-Language Approach for Synthetic Image Detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Bi-LORA: A Vision-Language Approach for Synthetic Image Detection

Reference 20

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Source-reported events for the cited work

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Observation 9b890a96-33d4-4754-be0c-5d67402c65ec · outbound

This paper cites an unresolved cited work.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation 90b3eec3-974f-4438-b43c-c83ab3a2451e · outbound

This paper cites Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes

Reference 22

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Source-reported events for the cited work

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Observation 8ee496ce-c076-4add-b9a3-ad64d7771401 · outbound

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Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 23

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Source-reported events for the cited work

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Observation 40c1db89-f46b-4581-acf8-ffa30fc60b4c · outbound

This paper cites Towards robust gan-generated image detection: A multi-view completion representation.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Towards robust gan-generated image detection: A multi-view completion representation

Reference 24

Resolution
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T20:22:20.131485Z digest=sha256:942d3a73901f5837ed76b701cff9351717467efcd76fac1eed1dd7bd3ea9e86a

Observation ccce3594-3c5b-49a7-bf96-5a5e19456364 · outbound

This paper cites Which model generated this image? A model-agnostic approach for origin attribution.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Which model generated this image? A model-agnostic approach for origin attribution

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 31e6af1d-6ace-4ec8-af10-f0e14358cf5e · outbound

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Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 26

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Observation fcee1e6a-0b81-45de-a7c9-743c46b59dfb · outbound

This paper cites L., and Keuper, J.

Few-Shot Learner Generalizes Across AI-Generated Image Detection L., and Keuper, J

Reference 27

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Source-reported events for the cited work

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Observation 374f54ac-3221-4163-9eec-719be5c1eb8c · outbound

This paper cites Lare\( ^ 2 \): Latent reconstruction error based method for diffusion-generated image detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Lare\( ^ 2 \): Latent reconstruction error based method for diffusion-generated image detection

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 01c55388-15a2-4fd3-8be1-f2767ca74aaa · outbound

This paper cites Exposing the Fake: Effective Diffusion-Generated Images Detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 29

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Source-reported events for the cited work

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Observation a7ca822d-5a3c-452c-b6ec-21f626c9df3c · outbound

This paper cites Q., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., and Chen, M.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Q., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., and Chen, M

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.155116Z digest=sha256:53a2a3a56f22fb28534657ab19b7022bb94b81413443227876e7007964a77efa

Observation 69f5b6ad-61a1-4b31-bbc6-3f07b2b14e30 · outbound

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Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.159092Z digest=sha256:0622e2babbdda17d52aaba5058c09df1e62747f79fb5170d6d0f928ad6a17551

Observation 665c3b19-faa8-4070-b2db-0af0a0e90819 · outbound

This paper cites T., Rezende, D.

Few-Shot Learner Generalizes Across AI-Generated Image Detection T., Rezende, D

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.163522Z digest=sha256:442a1e52f1af1a79f2f934394985278857e2980a2672c60dec9dd7e7fb0af17b

Observation 49c668be-9c24-4319-9b1b-407d209b6504 · outbound

This paper cites L., Li, Y., and Angelov, P.

Few-Shot Learner Generalizes Across AI-Generated Image Detection L., Li, Y., and Angelov, P

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.595036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.167117Z digest=sha256:11b4434486a293196eb4cc7b3e579405ac9af0ae7db2634855e119a11b2a783a

Observation b6db9941-c29e-476a-a5da-b044615e1b01 · outbound

This paper cites SDXL: improving latent diffusion models for high-resolution image synthesis.

Few-Shot Learner Generalizes Across AI-Generated Image Detection SDXL: improving latent diffusion models for high-resolution image synthesis

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.170603Z digest=sha256:52c2a9e9c45f08e8ec79d68d9c7ecf577dd3f7ae68575b15e36a3849452af5ee

Observation 84af422f-ce45-4f81-b65e-952458514c8b · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.571731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.174287Z digest=sha256:cd8faed02f376453ff520cb2893b342594a527911ab92afee041617ec9dffbd3

Observation 957dc930-05e8-4f1d-aecf-daa4f4060636 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

Few-Shot Learner Generalizes Across AI-Generated Image Detection W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.560082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.178213Z digest=sha256:1ba22f1a92725fca90216a75229349ac8c173ede94033019c665dfcb681b29cc

Observation 643c7795-07a8-4cee-9955-04d14b3de2ce · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection Zero-shot text-to-image generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.549224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.181878Z digest=sha256:3dd986d41f503c395e1bb721ccf45606b721859c61e313c8910301722f395997

Observation 602dffa6-4ea2-4dbd-b82b-0b7831b8346d · outbound

This paper cites AEROBLADE: training-free detection of latent diffusion images using autoencoder reconstruction error.

Few-Shot Learner Generalizes Across AI-Generated Image Detection AEROBLADE: training-free detection of latent diffusion images using autoencoder reconstruction error

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.537067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.185525Z digest=sha256:7039694ffa90c1cc0f16b09eac884934a106b69e7c9455dbd28b854f2159524a

Observation 7a09b4b6-c780-4455-8fd5-60e97daba83a · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection High-resolution image synthesis with latent diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.523781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.189124Z digest=sha256:b4893d6f7c4cf32360fae290a636ae3c86bbcfe2df271bc26797c833c9dee02a

Observation 97fefc26-251c-405d-b76d-25c422a7ac3d · outbound

This paper cites DE-FAKE: detection and attribution of fake images generated by text-to-image generation models.

Few-Shot Learner Generalizes Across AI-Generated Image Detection DE-FAKE: detection and attribution of fake images generated by text-to-image generation models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.512353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.192629Z digest=sha256:517360d3e27e446acad59b832c86562b4134a83e7224e4e48034cabaf19e6410

Observation 0c84f08e-6a87-45ff-a2ef-aed7e06d02b9 · outbound

This paper cites DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:22:20.196464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:22:20.196464Z digest=sha256:05604480f1b25fa1f7eb4ec3e166fe0aa42dd858f6ddbd08969c53e774d985d3

Observation e8fd830a-8443-4f49-9971-d4a6b50aa962 · outbound

This paper cites an unresolved cited work.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:22:20.500968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.200369Z digest=sha256:631e0f22accf89d0fbf276a5da689af2d144c72f2ec6da7a33270eb62a8f7f84

Observation 37838d48-159c-4885-9521-35e16fca63cd · outbound

This paper cites Denoising diffusion implicit models.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Denoising diffusion implicit models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.489493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.203785Z digest=sha256:c4da344af0fd2c51e6a550a822d4eed21456069a095d4225c190a5904d192e18

Observation 86f39eab-595e-48d0-b162-8e4ba5faf50f · outbound

This paper cites C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:22:20.207420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:22:20.207420Z digest=sha256:d8c0e11e9ec0291e3c21f5903d5861bf3283974bc36ee71a502e981933d5e413

Observation 2761f897-84bb-4776-b4aa-bcca3d72c7ed · outbound

This paper cites Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.477031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.210715Z digest=sha256:7ad836af689af03f7bfa3bbeb549cb058be1abec458dad08afe8a1937d252c9d

Observation c140e521-2f2c-43d4-ac47-ecb3162bea98 · outbound

This paper cites and Hinton, G.

Few-Shot Learner Generalizes Across AI-Generated Image Detection and Hinton, G

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:22:20.213872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:22:20.213872Z digest=sha256:4068fcbc6086d5c15488cc5e56a762a4021aec92f1870b39ecb6879c75113ffc

Observation 186c5538-d254-4f61-bdb3-cdb453d5e891 · outbound

This paper cites an unresolved cited work.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:22:20.456865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.217059Z digest=sha256:18fd6ab90b804fa726344170031e0acd6428a2fbf083670333bb037905c5b744

Observation 3c505881-cc9f-4f46-a2c5-0d2a9cc75c08 · outbound

This paper cites DIRE for diffusion-generated image detection.

Few-Shot Learner Generalizes Across AI-Generated Image Detection DIRE for diffusion-generated image detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.443903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.219998Z digest=sha256:0ac445666b6135f6debf3a6b26d12565edcf78a12f3faf44378c8239ea685cc1

Observation 911e6ff5-52a6-492b-a002-bc7ed507226a · outbound

This paper cites an unresolved cited work.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:22:20.431189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.223254Z digest=sha256:61de0e58c3af28ff4b8514e0cea6a2a33f56c78e34ef76a487bbbbbbf7619a8b

Observation 4f0d3d01-b896-4e41-be90-107ae0658cdc · outbound

This paper cites Detecting and simulating artifacts in GAN fake images.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Detecting and simulating artifacts in GAN fake images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.416546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.226686Z digest=sha256:dcd584339eeda71f8b537b8145283c1e75e278b485df8a95176ead5035a88d03

Observation 5a000b9a-468a-4a66-a23f-3f093c5bdb0b · outbound

This paper cites Detecting and simulating artifacts in GAN fake images.

Few-Shot Learner Generalizes Across AI-Generated Image Detection Detecting and simulating artifacts in GAN fake images

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.402896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.230327Z digest=sha256:27414eb13d0493e63caeb25e483c0fbc2de3c236ae07e1e87c2b855f64d63d71

Observation 4ef6ec6b-cd31-4acf-88b8-f6d0ce57463c · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T20:22:20.234004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:22:20.234004Z digest=sha256:fdce4d4db466ec88a7229550fae47616cc0ea11c40ee21cb41f3ab76f506cba9

Observation 9ac77e7d-3d87-4b2e-80b7-eaa96f9ec777 · outbound

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

Few-Shot Learner Generalizes Across AI-Generated Image Detection Genimage: A million-scale benchmark for detecting ai-generated image

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:22:20.389666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:22:20.238056Z digest=sha256:1ffdae8dca44e7ef9e06dd35a856f8bc02ca2a25c5d22f296ed8e03480b975f9

Observation a868271f-607f-4589-8427-fa1efd9feca2 · outbound

This paper cites write newline.

Few-Shot Learner Generalizes Across AI-Generated Image Detection write newline

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T20:22:20.241612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:22:20.241612Z digest=sha256:b17779c763da01d33168b0f8bde81fde369e34f608be2f4eed2de393f3cc8970

Pith citing papers

Observation e4bd0a50-8af4-48ee-8896-1e0c2e05786a · inbound

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection cites this paper.

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection Few-Shot Learner Generalizes Across AI-Generated Image Detection

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T21:07:49.378649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:07:49.378649Z digest=sha256:246d86efa2c6d9e1fa13d8e9108bd0b5707c56071c18bb57396116a2b531b420

Observation b7a92084-7e1d-42e1-a64d-2e75e8a3a315 · inbound

ImageAttributionBench: How Far Are We from Generalizable Attribution? cites this paper.

ImageAttributionBench: How Far Are We from Generalizable Attribution? Few-Shot Learner Generalizes Across AI-Generated Image Detection

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:39:23.911889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T19:38:41.659261Z digest=sha256:b01dcc9b5b96607a6a366a5d52d71378f3ee2ccbfbd1c512e6a8f25d51fb27d4

Observation a368b2fb-93a7-4055-9b59-1ca3a922273d · inbound

FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection cites this paper.

FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection Few-Shot Learner Generalizes Across AI-Generated Image Detection

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:22:34.832414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T19:14:10.155813Z digest=sha256:3d5c1a098eb194cec96ccf94fd24a15c2a4b81d83ebab392d931614b19e71c1c