Pith. sign in

Paper Citation Record · LEDGER

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2603.01544.

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

pith.paper-citation-record.v1
2603.01544 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:39:17.853122Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff96332b-2d30-4e13-aaa5-e95770158e60 · outbound

This paper cites ε:The average difference ∆(ε) across a grid of Gaussian perturbation magnitudes ε.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry ε:The average difference ∆(ε) across a grid of Gaussian perturbation magnitudes ε

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:17.691560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:17.691560Z digest=sha256:20b961628b1ec43f2b8492d2c0cde710c235f4c23a9af28d3a1c54f8247c4c77

Observation 602557bf-b1ef-47ff-bc78-a719ddd4e1c8 · outbound

This paper cites inverted U-shape.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry inverted U-shape

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:17.853122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:17.853122Z digest=sha256:3bb4d320c65fa536edb99dfa1f353666ef6da5d7ce891c25b62fe768798c6282

Observation a59576e1-c27e-4c24-b4b0-e0b697511217 · outbound

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

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.601845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.601845Z digest=sha256:18225cb8f8a0f846567f2fa2755e999c9bcb0c13910cc8f18d4d1db633072dcc

Observation cac8d408-7590-46e6-b4c9-453f26a90b51 · outbound

This paper cites ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-02T19:39:16.750521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.750521Z digest=sha256:99fb4a8c7a61e07e5b098adf99c2b548804b3976b8e68d7ddc2bec82e891b2a5

Observation 3a22770f-d492-4842-9138-4bcf95c148a2 · outbound

This paper cites DINOv3.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry DINOv3

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:17.016668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:17.016668Z digest=sha256:89ac90d6dfd3b2b4226c509a55efc2aa63b2919c980eaced285f7058df666c1a

Observation 30892bb3-d165-426c-bde1-8c20812c00a8 · outbound

This paper cites Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:17.303239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:17.303239Z digest=sha256:bde91c8ace8223b054ea8698e66f49e8fab8b21338d00a557645ba2018c6278e

Observation 8a72f8f2-d85d-4308-84d9-1069a0c81229 · outbound

This paper cites 12 RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry By orthogonality and isotropy, E∥t∥2 = ε2 0 N trPT = ε2 0 N m,E∥s∥ 2 = ε2 0 N (N−m).

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry 12 RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry By orthogonality and isotropy, E∥t∥2 = ε2 0 N trPT = ε2 0 N m,E∥s∥ 2 = ε2 0 N (N−m)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:17.479068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:17.479068Z digest=sha256:6736080fde4f9c3fe7c16110f2fd3093a9117d1791a011b01eb967ecc2fd0bdc

Observation 5f165e08-acc7-4f6f-aabc-7f736e148286 · outbound

This paper cites URL https://doi.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry URL https://doi

Reference 300

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:17.145782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:17.145782Z digest=sha256:02fde1a0b85d846a565b75cd373f4f2be62688f1bb58babcd56c125eeaadf830

Observation 6674b22d-b233-4c79-b43d-4d9a08be6254 · outbound

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

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.431596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.431596Z digest=sha256:2c45c8e444676f83a5b1a9f87592ddb072236bd50ee41e9bff0b68c5e09f147b

Observation 4605c226-bd14-41ae-8cde-4b6596fc7bbc · outbound

This paper cites A Group-Theoretic Framework for Data Augmentation.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry A Group-Theoretic Framework for Data Augmentation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.258722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.258722Z digest=sha256:99677c2b1bdbf4b730fd94af4d1b9da30fa9cc6a5e2b161cb6f11d241432c8f8

Observation 966e8d2c-1c67-4bb3-8caf-ad5bce1c8319 · outbound

This paper cites Carlini, N., Hayes, J., Nasr, M., Jagielski, M., Se- hwag, V ., Tram `er, F., Balle, B., Ippolito, D., and Wallace, E.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry Carlini, N., Hayes, J., Nasr, M., Jagielski, M., Se- hwag, V ., Tram `er, F., Balle, B., Ippolito, D., and Wallace, E

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.099270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.099270Z digest=sha256:b092f14a0458739fe6f1ff884afc852d57f9903785943e4e2924b53bc1b4291a

Observation bc0d2262-41a7-4881-aada-08161293e5a9 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.923645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.923645Z digest=sha256:c8f8c016f647aa1421c4811cc71a8d7e5ba51401a23e4d06fd156394b16c4e49

Observation 170a759b-21e0-4fea-bf35-021f385df658 · outbound

This paper cites Caron, M., Touvron, H., Misra, I., et al.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry Caron, M., Touvron, H., Misra, I., et al

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.156087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.156087Z digest=sha256:ad9a6ae78b0fde8f8b712ead30a4a074aefc977c0324bc15df892b9e7d1c72cb

Pith citing papers

No inbound Pith citation observations are available.