Pith. sign in

Paper Citation Record · LEDGER

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

As of 6 August 2026, this Paper Citation Record lists 100 of 290 outbound references and 38 inbound Pith citation observations for arXiv:2411.15633.

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

pith.paper-citation-record.v1
2411.15633 v4

Coverage vector

measured 100 of 290 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:25:47.549655Z

measured 138 of 138 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:07:49.811585Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T17:16:23.136828Z

Reference resolution

100 of 290 outbound references displayed

  • verified exact8
  • verified fuzzy79
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9283985-75b6-42ee-a9d6-202982d511b9 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.544532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:1bc7d20296748d696f62870f91d2b0a59b93f77b2e906d30bfb3db9aebc45899

Observation 12d0534e-e515-4d56-99df-9ea8ce00e474 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.635482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:e85995b0d089af8211a243e9c7d106a7e4c8d6bd4e5531dd1f28b9273908c2d5

Observation fcc80347-c943-45d2-9c65-59a28c14d95d · outbound

This paper cites End-to-end reconstruction-classification learning for face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection End-to-end reconstruction-classification learning for face forgery detection

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.629808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:20736aed9c861bfc754a1e0fe4544f6eb8cb2ecaba781c6a31c4d8a9fe023604

Observation 67072a38-6248-406b-9767-544f20056b32 · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection What makes fake images detectable? understanding properties that generalize

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.603056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:4eabd8903f8b2fa34d6500223daddf137f44c33a9b6ac504a6fe2eeadae22297

Observation d46e5646-9fd1-4854-892f-e6c14bfb36f8 · outbound

This paper cites Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.687596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:56e0fcc0e1096e6c844ece98ee00388b4bc5747dbdce4a11a1774c7cfe96e72c

Observation 9dc592f8-2546-4155-9743-4470dc4a5fea · outbound

This paper cites Learning to see in the dark.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Learning to see in the dark

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.613382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:0faf6f8d48d082d6945c7ccdb7f2bc6fc5e18f00853c7e86fc6ee6c2eaa3e184

Observation f2b959be-1ebd-4bb3-a234-a2c63b7b6e5b · outbound

This paper cites Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.708159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:41a0dcca434082db1f2bfb4867441d546dd77cabdf2fe4b6d72df2dc5316fa7c

Observation 23709846-3166-46c9-88d0-d4ce145bff4c · outbound

This paper cites Ost: Improving generalization of deepfake detection via one-shot test-time training.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Ost: Improving generalization of deepfake detection via one-shot test-time training

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.705487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:714c88b43d5eceaeaf0e18600bacf20c04d0e3f0bdc3bf1ba34f92149e77feed

Observation f142607a-6ae2-4f17-b032-c4468a1223bc · outbound

This paper cites and Koltun, V.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Koltun, V

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.755519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:6f04eae206075c0099bbc7c9b0c99dbf1b664c2484657e18aa05c9ffbaef9a25

Observation 7f2f7b22-a1f7-4758-bf72-29ea17b3c7a9 · outbound

This paper cites Can we leave deepfake data behind in training deepfake detector? NeurIPS.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Can we leave deepfake data behind in training deepfake detector? NeurIPS

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.587966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:a4a1ac1ec92dbd958a956202bad0994b6cc5c695addf4a2f3e2db4d523ed8666

Observation 6fab53f8-2df1-44fe-95de-3cf99597202f · outbound

This paper cites Exploiting style latent flows for generalizing deepfake video detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Exploiting style latent flows for generalizing deepfake video detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.732289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:c12dfbccdf29564af868a9c3c99ba5bf847748f125ab5ab85ee7acfb11c94f7a

Observation 0b24131f-2562-4f55-b126-2a33df5e00a8 · outbound

This paper cites Stargan: Unified generative adversarial networks for multi-domain image-to-image translation.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Stargan: Unified generative adversarial networks for multi-domain image-to-image translation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.690468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:5b2c4bc0841b59de8d8b3f34ae2a99730b9a718a86cbbceaa68295cc9e4e72fe

Observation d76d1647-df87-4315-92dd-2229de806af8 · outbound

This paper cites Second-order attention network for single image super-resolution.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Second-order attention network for single image super-resolution

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.645001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:8f7d5ce3f3d4e0344bda30f9d925376f14e9dbbbd605b6af0030d5d48c838c57

Observation d57b7076-f279-4751-a6b1-4a369d0fa5c4 · outbound

This paper cites https://www.kaggle.com/c/deepfake-detection-challenge Accessed 2021-04-24.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection https://www.kaggle.com/c/deepfake-detection-challenge Accessed 2021-04-24

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.627056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:43869ba02ec8eee52d6c7c5340e8540acfc7512a4bef585178fb03761290366b

Observation 8c388661-0a47-414e-9a0e-847d2d1197b5 · outbound

This paper cites https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html Accessed 2021-04-24.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html Accessed 2021-04-24

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.619738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:16aa111e782c047ee9de1ffe778defffc23506a5fe996611ba0ee2edb354a5c3

Observation b885fbac-ecc2-4faf-a4c7-0a6f7840899c · outbound

This paper cites and Nichol, A.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Nichol, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.647614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:892f0e35c70e471840bd5f899cb0a9ce7987acc58f977b2b4963614ea48bff82

Observation cde0b541-5f90-40b8-ac97-994ba3061c92 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.661049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:81ae23b5f1ad778eb3e51c425ee3ac6e9e8b6d170ab8f69fc72b5ff8cd619542

Observation 4f95990e-6442-43f7-b1be-f1e284ad2afc · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Parameter-efficient fine-tuning of large-scale pre-trained language models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.650766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:fee14c0d5169a904c54ff6765a86dbea7a310fccf85a17fcd5a46232311c41bd

Observation a560496e-fa3f-403e-a216-980f2cc6307d · outbound

This paper cites The Deepfake Detection Challenge (DFDC) Preview Dataset.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.848124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:77b1bf2f3dc309a806cdf850d3a7f2f88d8e1e34adf63a08eb8add711ca4deed

Observation d9fcb329-9425-4a0d-a043-3a30b7108b30 · outbound

This paper cites Implicit identity leakage: The stumbling block to improving deepfake detection generalization.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Implicit identity leakage: The stumbling block to improving deepfake detection generalization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.752336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:bd3d94a57ce197797c3ce9ce5f2a35ab87e7123d9b1de8fe25f8c8f9f7f0ff26

Observation 4117ae3f-a1ba-4bd9-a6c5-2a82f8a2c1fc · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Exploring unbiased deepfake detection via token-level shuffling and mixing

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.711619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:6730c6e584d2f4f87f71cb2017b91833e1d514e233b29a6f64df77ba17bd7821

Observation 1aed694e-6ad0-4b3b-b1bf-e56fb54767b3 · outbound

This paper cites Generative adversarial networks.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Generative adversarial networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.717637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:be7d068b542d430448aa272e8a20d616e4e7324792f79716e376accd238df68a

Observation 9cb506f3-b9cc-4ede-830d-44b8c8ad8143 · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Vector quantized diffusion model for text-to-image synthesis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.609589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:d9369b6c319e15233429fc3ba4e754f5c74464ebc2636ea0c156ceec5c4895cf

Observation a6e471a9-04bd-497b-a460-5555d5d64c29 · outbound

This paper cites Hierarchical contrastive inconsistency learning for deepfake video detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Hierarchical contrastive inconsistency learning for deepfake video detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.624058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:a25a9f76f87660696fcb52ea6f6a80b1bd312f9df97cf4664059d0c41fe674d9

Observation 26a4723a-def6-4dc3-aa23-6d9ea57bbbc2 · outbound

This paper cites Delving into sequential patches for deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Delving into sequential patches for deepfake detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.656127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:eceade5c1b7128c87ce7e18ea2837c6fa24b4959931411cb76cdc27383332598

Observation 4886a022-aa77-497b-98aa-c0f66e40ffe2 · outbound

This paper cites E., Bhojanapalli, S., Neyshabur, B., and Srebro, N.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection E., Bhojanapalli, S., Neyshabur, B., and Srebro, N

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.630264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:9df775b7b62d8eb36cc34889e504a1c0df4a318fed652192ea826ca5f98548c1

Observation 402439b0-595b-4bc8-8696-19ca1cec4547 · outbound

This paper cites Lips don't lie: A generalisable and robust approach to face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Lips don't lie: A generalisable and robust approach to face forgery detection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.667647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:e53112775f19b04a98e4deecb2b8b6bde74552ab00dc64c90392c958a0ec96ef

Observation 146be81c-dd08-41ef-b4d3-6e9eb00067bc · outbound

This paper cites Leveraging real talking faces via self-supervision for robust forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Leveraging real talking faces via self-supervision for robust forgery detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.675988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:1e0762e0711e524f37b7d7e4c4e8a92df9cba5e8e0b9c0896622a28aef8c848e

Observation decf38ad-dc62-46a1-834e-4ca038e4a955 · outbound

This paper cites Deep residual learning for image recognition.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Deep residual learning for image recognition

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.658089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:4ac3ecb3941599873efc4a70c9d2093d628fdcc5bd1d0d2b1c3caaffff1d312f

Observation e8333b25-d8f4-4729-942e-a8e8f5cfe669 · outbound

This paper cites Denoising diffusion probabilistic models.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Denoising diffusion probabilistic models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.651125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:ad363a27815821b3373b1b44c9dd5d21561740eaca0551ea63a0e77de84a2d32

Observation 9a2fdd67-1ccf-4f3d-8a31-9e60a35196d4 · outbound

This paper cites Implicit identity driven deepfake face swapping detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Implicit identity driven deepfake face swapping detection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.654969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:003c68db03822c804e9fe39441487e905bb11d6845629af24dac2f13ec4799e1

Observation 5464c8dc-7ec7-4f48-ba8d-c7547127cb2c · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.644088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:a9f683c8430f5507056d652add028587756f5573d41a5d5b7d4e9914b924fb73

Observation 9611bf8b-3e3a-4abf-ab27-c68df08a3b78 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.759272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:2c664ae690e6c9e9f855e0999338c9aab52808918baf6633d97e84213c27f3cd

Observation cc4d41fc-a1ce-4476-8e18-ad5bd69fba64 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Progressive growing of gans for improved quality, stability, and variation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.613032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:211837b359b1ff06ee977fcd05bf00b8e868a6e1007f76bcb51e66a589ba5a33

Observation e3d14fef-72f1-4946-8953-a3c5cea8a248 · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection A style-based generator architecture for generative adversarial networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.670399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:70afc1046d5af9d3a58958169d8edbee89aa87a4f4956af74246475ed340ad01

Observation a6029c8c-e997-4e67-8050-a1da0c09565d · outbound

This paper cites and Woo, S.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Woo, S

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.672954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:065a7e6371456fd08a814171dec4a4009b834383f2e182c46c0250f6cbed4bea

Observation b435993d-03ed-4ed8-9426-7dab15fc2f13 · outbound

This paper cites Enhancing general face forgery detection via vision transformer with low-rank adaptation.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Enhancing general face forgery detection via vision transformer with low-rank adaptation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.679065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:533af3829df72565c8920432e30d599c57d05fe86464cbeb30312a5c60b95c98

Observation a022f6ea-4c13-4ed8-a779-cb03e9406415 · outbound

This paper cites DeepFakes: a New Threat to Face Recognition? Assessment and Detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:25:47.747092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:2395ec049253d550c7ee7cf315b5be04e0fa19c157b9145ed8aa4f187d85915f

Observation 0882b051-a0b9-466d-94af-fa60f38f8279 · outbound

This paper cites Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.702858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:4f9facfd3aa8a43658ee91d2f54ccd5d84fce21c62a289f6d8a0ca6e665a9362

Observation d853d7b4-6e1e-4a10-b338-5cb50cad5700 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Learning to generalize: Meta-learning for domain generalization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.714865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:5fc83aea5dfcc57044a3055eec5862ab0f920e2ea65ecc6cc53e7e4d42be1c1a

Observation 41145a9c-1771-4776-a43a-b165324034db · outbound

This paper cites Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.720257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:6ad482afc6d11caba902c900f24e5d436265ddd1ea83396a51b1d797c13c6398

Observation 05644a6a-89d3-42af-9289-16d88a8724d3 · outbound

This paper cites Diverse image synthesis from semantic layouts via conditional imle.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Diverse image synthesis from semantic layouts via conditional imle

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.664536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:e154ccc433fa572633b4c016ce5ddd758e591fc49518e3bad166f94876c73943

Observation 2782c8bc-40b3-4e34-bc9a-e89629ba1bcd · outbound

This paper cites Face x-ray for more general face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Face x-ray for more general face forgery detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.670921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:998d8cbfe7a902b12c7b59fbe69b0f8fcd35384cc1c40142e7aa96dcf384e273

Observation 93d70381-ab8a-4668-85de-875d49d94a99 · outbound

This paper cites Celeb-df: A new dataset for deepfake forensics.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Celeb-df: A new dataset for deepfake forensics

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.632718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:2ce297d4863d90dbe51418422a7513a9ed58098f0fc2a4a34bed1fa428942539

Observation d9e421b9-42f6-4404-b14e-e9b937a2ba29 · outbound

This paper cites Spatial-phase shallow learning: rethinking face forgery detection in frequency domain.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Spatial-phase shallow learning: rethinking face forgery detection in frequency domain

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.661721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:2cfee7c406eba9239cb8bb630fbdcc83cdd05b6a5ef7cc22e63221d0b7a3c0bd

Observation b91852d2-e432-4b5b-9766-bc46314fd893 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Forgery-aware adaptive transformer for generalizable synthetic image detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.744360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:3a65729bbbe743e2656954b1c52675c989063d93f27496bbc37ae89120be423c

Observation 49e685a2-ade7-463a-84a9-40ff89a71142 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:52:14.568967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:d890e9b614a9270dac000663e0512a49db8b35912be75d600f15426957fbf2b3

Observation 5a4f1dd9-7303-493a-9b4b-c749564da884 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:52:14.693180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:c5dccb5e041700a8af32beedb060f8da6bc2cc05c0ec46d1afc99dad9ba29189

Observation 9cf4c070-25fb-4ef3-9e51-e09beb42d199 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:25:47.869188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:f5a090e86db9f3f8be247d8e6a3054d95e7d581e5e93d217897bcaae14a824cc

Observation a78229ed-b958-42de-af9e-0661d2f8278d · outbound

This paper cites Generalizing face forgery detection with high-frequency features.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Generalizing face forgery detection with high-frequency features

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.871677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:cb9f9ba2fda717c823202171ee78176434a6b5488751fd550cee801cabb2d94d

Observation b7578d73-2d5c-421f-bbd1-ad975997dcdd · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Lare\^ 2 : Latent reconstruction error based method for diffusion-generated image detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.873826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:1615192b19d6f9547557653f58a7a6291c1cb66d0b17c460899b8b1a80e2f7b9

Observation a1765afd-3cc0-4221-bbbc-79f9c6d6cc72 · outbound

This paper cites F 2 trans: High-frequency fine-grained transformer for face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection F 2 trans: High-frequency fine-grained transformer for face forgery detection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.876369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:406dba2f65add9b8f3308c5a3ee499835653a27e737292a70e22f5b2de93fb93

Observation 07fa881d-11b1-4c85-af12-5b520fbdd023 · outbound

This paper cites https://www.midjourney.com/home.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection https://www.midjourney.com/home

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.878764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:d51612174a365ea9efc561ce58bc5d6dc6e7e8dcc37d40f32a47ab5dcd82ac7a

Observation 9c0ae38b-58da-4e8e-93a2-dbb66eb78d36 · outbound

This paper cites and Rostamizadeh, A.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Rostamizadeh, A

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.881223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:a98ff8124fc1fc239637b096b4f0d114ac2c88e337b4c1b6cb51d8ce10d190d2

Observation d8d98dd6-6ce7-4824-9a44-f62d256b02bf · outbound

This paper cites Detecting GAN generated Fake Images using Co-occurrence Matrices.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Detecting GAN generated Fake Images using Co-occurrence Matrices

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.769354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:8bcb3fbdeb6ac3984d8e1828e3dbb9a97d1993069e013a18f94a2a96817f82ea

Observation 517ee55c-e410-49f4-be87-070c22f95bc1 · outbound

This paper cites Core: Consistent representation learning for face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Core: Consistent representation learning for face forgery detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.883801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:f872d006153ba694d0126cb666b599f7928dd6968b8444f8e925dfe547f9e20d

Observation 94535086-9699-45cf-a96a-19194c3fbd3b · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Glide: Towards photorealistic image generation and editing with text-guided diffusion models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.886400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:54b6e67d679fded1bc7606a8a28f919fcc03af92c8c2e320b822544c7aab8724

Observation 57e65f34-76f2-413c-a17b-5b15501376cd · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:25:47.888859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:d12ef6a04f14244b3dd4f63ece6f2fcb6038f3d073e43b13838bfa3a03bb95fa

Observation e9365cbc-09ed-4adc-a52a-aa6a30165a5b · outbound

This paper cites Semantic image synthesis with spatially-adaptive normalization.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Semantic image synthesis with spatially-adaptive normalization

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.891499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:37aee71177c024e0460d60d179fa8a6bcc983bd20078e1219db3b9e634821109

Observation 671263de-ec16-4bf2-b99b-2caa0bea4d0c · outbound

This paper cites BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:25:47.658072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:ceff6e580a60c0a4a5a7cfef90340a6969b0e52d0a8d60ed49c6f570b352b5b2

Observation 0d6fd466-302f-44b4-bfa1-95c559afb41c · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.894711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:153d94ccfdab788b3f1c6b59bba5a84b74f1ab55cbdb82e84ff5f7a95cd46494

Observation a157c6f8-ed19-4cba-a8e1-718009400de1 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.897303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:519e2fbd6e1225fd993c61785992343e81ab99d7ba617b2a17271058046aa689

Observation 82c60add-3f71-498a-a065-00161e25c86c · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Zero-shot text-to-image generation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.899762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:b1dbaa2ed4d2db316689dc5adbde8130f124897fff5b4ba7a8f628a9cadb732d

Observation 0f269f75-7c0e-46c8-bf7b-ef799907ce08 · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection High-resolution image synthesis with latent diffusion models

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.902203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:0e24949d999b1881124a19bd340ec8942bd034b60ebf372f124344c3ce987ae3

Observation 4729879c-185a-4bc7-9e57-d725dc229184 · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection High-resolution image synthesis with latent diffusion models

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.904709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:2e836600ad7b9038ec44af544e3a11ce80f8b0d2d15bac7c82115c06fa2c018e

Observation a832db47-6c03-4fdf-96eb-8c5503e944e5 · outbound

This paper cites Face F orensics++: Learning to detect manipulated facial images.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Face F orensics++: Learning to detect manipulated facial images

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.907146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:78fccf24d80c84e4b3fd341928eae337dfd5dfac50d331502f1cd2f32e69ee6b

Observation f94af099-b223-4bac-9709-c5d0b577f635 · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Faceforensics++: Learning to detect manipulated facial images

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.909215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:abbf53c0da0cb474855e9e98583ed8ba44fbb872554baa45dd67ca67c8fd2a4d

Observation 31ece57b-63d1-4d21-ac64-594a1ffd3850 · outbound

This paper cites and Yamasaki, T.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Yamasaki, T

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.911119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:688e073b29b41c7db8e4eaa52cba33f456d55fedfd9e6c9e5c86e6bfc9eff250

Observation 9d9c1322-44ae-48d9-9e96-f1ba133ee3ca · outbound

This paper cites Blendface: Re-designing identity encoders for face-swapping.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Blendface: Re-designing identity encoders for face-swapping

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.913166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:206c69dda5f000c4664d53e2718993a3dc0236de14226123e3f605b684fa5806

Observation 76237258-e1e1-4130-b0dd-e925ffefc968 · outbound

This paper cites Domain general face forgery detection by learning to weight.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Domain general face forgery detection by learning to weight

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.915148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:91f49fed7bb012dc423ed88f5a13d874742c598655e26409a96dddd8dcbf1761

Observation 8c0261a7-c50a-455b-a958-39713004c88f · outbound

This paper cites Dual contrastive learning for general face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Dual contrastive learning for general face forgery detection

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.917558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:986edee89f9d8f1d2746d1239243bc9f6431187b0bf7a0257499a5e5359a2a27

Observation 0ed9e174-bf2a-449c-a121-e0c882605449 · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Learning on gradients: Generalized artifacts representation for gan-generated images detection

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.919637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:9fd9a82b6534cfc2923e491f658852c8c817373f0407022638f0152a5b8ee976

Observation 5215bccb-a547-4cf5-af73-0e8934cfe3c7 · outbound

This paper cites Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.725327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:1762ff2cee5f0494b8bc94f6842e4bf0e33951b515e9eed47add75669312bbef

Observation feec029e-f33d-43a9-bd94-4578f9110794 · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.922035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:cf4874c72b014284ce78b0224b5ec4ee19e5fd217eac6c8f806191aad4843459

Observation da51e291-7103-4cfb-8b00-12f3e81d8c5d · outbound

This paper cites Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.923985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:0a6a52738edd769cec904df64f84f6a72837d4eafb85f2d5c85b42c56778b1a2

Observation 19a9007b-d535-4c6f-ad47-70bb3dc49fde · outbound

This paper cites and Le, Q.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Le, Q

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.926023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:ddd459a5398e329ac0a520ebbe5765c8c23f6457d231f01e1c94b261a9cc0d70

Observation 9dda7600-c0ba-4a4f-b1f3-ecf5d670119f · outbound

This paper cites Face2face: Real-time face capture and reenactment of rgb videos.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Face2face: Real-time face capture and reenactment of rgb videos

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.927951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:cb93b9d6df53341cc69fc1253c96b4b4be793c5f63311b972a44a9361403c081

Observation c729b8f1-ee70-4492-94eb-f33e15a36668 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Training data-efficient image transformers & distillation through attention

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.929938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:f2604b43d77ef68209f1485ff0017d2f85778295e7709f638f6e318dabf9cbad

Observation 0dc7d66b-4b66-45a6-9ebe-770c60f8bbf8 · outbound

This paper cites and Liu, Y.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection and Liu, Y

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.931781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:707edfeddfc4d125e4b6bbf3e435f58616a85111dbf0791cee687a0c76560ba7

Observation 7d91c68f-88ac-4cef-9456-5bb1c3b64cfe · outbound

This paper cites M2tr: Multi-modal multi-scale transformers for deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection M2tr: Multi-modal multi-scale transformers for deepfake detection

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.933717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:dd7b2d97ed0fa132bbf5237b31813c0a14db7e39028d87b3c023940a5336552e

Observation 2aafefd9-cb0e-4535-8105-a424057a1647 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:25:47.935791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:f15d96718d81723a90df99c4a51fc43dd8850fe208177b78a81065085d78594e

Observation 85adfb41-8f26-46e5-a81e-f25f748d6752 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:25:47.937948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:428c274b93fdfb211d5c764af45a26f39e74db19c1bfd32b6c9df49e4c458d8e

Observation 2f6a9f0d-2c47-4f0e-ab38-86c48143349a · outbound

This paper cites Dire for diffusion-generated image detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Dire for diffusion-generated image detection

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.939911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:5534778310d57cd807b6ca59e5b7aadf2a75e7882d6df52e6d16bde9197fb874

Observation f76949d8-e354-47b7-8790-fbb57e0a96cb · outbound

This paper cites Altfreezing for more general video face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Altfreezing for more general video face forgery detection

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.941844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:12562e660fa884aa0d7c6dca43623babbf0961ca5a3acd4df97f66be066571ea

Observation 86ee42ab-6d6c-45b2-80ff-23532055a0ad · outbound

This paper cites Generalizable Synthetic Image Detection via Language-guided Contrastive Learning.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Generalizable Synthetic Image Detection via Language-guided Contrastive Learning

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.760761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:fcdec07682f7bbde2c6f7703b7265b1286e127c20257ddf3641e7d429496b269

Observation c87ebfee-ada4-490c-9d13-9a2ab36c9f88 · outbound

This paper cites Tall: Thumbnail layout for deepfake video detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Tall: Thumbnail layout for deepfake video detection

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.944047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:0a0fab01cc6f9463132ea398ee5a844ce81fcc6bb154ebb877a28b9954bdfefb

Observation 922f91d6-d77f-4284-bcab-4e958da83d1a · outbound

This paper cites UCF: Uncovering Common Features for Generalizable Deepfake Detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection UCF: Uncovering Common Features for Generalizable Deepfake Detection

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.834459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:dda1e3f7e2d824d27414bc29bc079b80a5d357ef7c6ccd51bae6206c9ecf2a1c

Observation 18726f20-77cb-4fa9-925c-449277b535f4 · outbound

This paper cites Deepfakebench: A comprehensive benchmark of deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Deepfakebench: A comprehensive benchmark of deepfake detection

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.946040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:321022562628786ec28d36b4d569035ca2c04a497c112ee676f9ef0ae74bab86

Observation 650d42e6-8593-4d88-81a4-b709de3653ef · outbound

This paper cites Transcending forgery specificity with latent space augmentation for generalizable deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Transcending forgery specificity with latent space augmentation for generalizable deepfake detection

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.948425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:8fdfea45f89c886c6ef7914c5f8a44d07e4201e05d665fe344bf242834d28413

Observation 22cda26d-6089-48e7-98c7-13656f0c6f14 · outbound

This paper cites DF40: Toward Next-Generation Deepfake Detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection DF40: Toward Next-Generation Deepfake Detection

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.675059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:aeab148e9a14b231c88feed31ef15e9d741b51910ec506b788b47e2903825fc9

Observation 6138678f-d2f8-44b2-9fc1-4c0c97e3a1f3 · outbound

This paper cites GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.705038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:d44f72e9cab530e5d06fc6813e1c66bed9c07d28fb581e40dcdeb4465c1d5856

Observation 634afb69-7d4d-4346-b33a-4d68ca130a7a · outbound

This paper cites Sigmoid loss for language image pre-training.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Sigmoid loss for language image pre-training

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.950734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:67095754a684180c77bb9b8db95ba4adbce48ef8b2d3f44e6b4c9f9a3b2e96ee

Observation 03a00a65-1f40-4af8-a968-399560148721 · outbound

This paper cites Learning self-consistency for deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Learning self-consistency for deepfake detection

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.953007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:e0abf8dd787b9ca44f2c86b0409eb15fdcc7c2e323dae56a5794d32760989801

Observation 47d375f4-8be4-45a9-a88d-225c470352e9 · outbound

This paper cites Exploring temporal coherence for more general video face forgery detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Exploring temporal coherence for more general video face forgery detection

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.955107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:7525e16c8f2b8bebc40fd82a1618de3bb50604fb940671ec5f7777bac56b9ef9

Observation 61c94741-df11-434a-9019-f11544437a20 · outbound

This paper cites Face forensics in the wild.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Face forensics in the wild

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.957473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:eb314fbd6ff15369930839b15671f9859b1d68a5139cd2a87767164a717b3567

Observation ff2576d4-400c-494f-bd3e-5f53df8c81b0 · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 106

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:25:47.959511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:647d5aceea69c668ac4d94563706cb42652f22af62ba1675a6fc3e77d38d2dc6

Observation 277b1a5e-848a-424d-83ee-76b92c221cce · outbound

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

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Genimage: A million-scale benchmark for detecting ai-generated image

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.962538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:884f6bdf18a9315fca3a917f2f443107d4634906e826420085c3e066494c7ebc

Observation 2d14f810-a26d-48f8-92ae-c3ba56651d0d · outbound

This paper cites an unresolved cited work.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Unresolved cited work

Reference 108

Resolution
unresolved
raw_fallback, observed 2026-05-17T23:25:47.964610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:3efdbea86f64ca222d5407d802d2ed3748ee0070a228c3021ab211964fcf386c

Observation b615d8cb-5190-48e0-88c3-d33c4da9bb36 · outbound

This paper cites Wilddeepfake: A challenging real-world dataset for deepfake detection.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Wilddeepfake: A challenging real-world dataset for deepfake detection

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.966923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:7162f280300e215cd498ef14b807a4b5758d46c1c5993d8c6eb961bd53243871

Observation 42268841-6ab7-4f9e-b6cc-704af56e24ac · outbound

This paper cites ICCV , year=.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection ICCV , year=

Reference 110

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T23:25:47.968830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:95ca26f0513f7a05084f7f4d469c61ec4b79bd4ead4bfc0d9826e6111134d880

Pith citing papers

Observation 3853e79b-79a8-4a54-b135-b8bfc167bd43 · inbound

Toward Generalizable Forgery Detection and Reasoning cites this paper.

Toward Generalizable Forgery Detection and Reasoning Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-05-22T22:27:12.390239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T22:26:49.062978Z digest=sha256:4c764b5219d389fff9096837d49501999b959e19a50c6b39140adf24bd732a5b

Observation 67c165d5-3c3d-4164-ad19-c4378eb5ae7e · inbound

Deeply Dual Supervised learning for melanoma recognition cites this paper.

Deeply Dual Supervised learning for melanoma recognition Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 143

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T01:12:54.846446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T01:12:16.127423Z digest=sha256:8b9475b442278800661e8ffd957117494867726ced64ecff8d1a9961992c8a9b

Observation 2339f0e5-aaf3-42aa-b652-c525ced78e2d · inbound

Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling cites this paper.

Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 136

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:46:56.000706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:46:49.811128Z digest=sha256:715405c3f58c7a04ca28e1f198fba7d0005b163c9e1f2536ee7c836113a15dcd

Observation d2c60e34-5156-4a57-b030-d2f9d3c4e977 · inbound

DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation cites this paper.

DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 138

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:42:54.455537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:42:14.586310Z digest=sha256:ebfa02c9ec3d8e1f8e62ec704b40798772c65fb64c288172369986f38232ff25

Observation 87fb8ced-ecfe-4229-8ded-bb546d873501 · inbound

VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation cites this paper.

VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 134

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:41:56.262415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T00:37:16.337914Z digest=sha256:16f813b8159b3f9f3a23690a9d8e0b637d607a793a9c44f7691b0fc8cb799c3d

Observation 57181793-ce32-42ba-9bd4-7f19a68e45a5 · 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 Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T21:07:49.811585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:07:49.811585Z digest=sha256:d8884a88960577781d278820ca543f6326bfdfb92c63fb6e300c373a59ccb909

Observation da65b3b9-5199-4269-88db-fd4363ac4b25 · inbound

How Noise Benefits AI-generated Image Detection cites this paper.

How Noise Benefits AI-generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:53:31.985118Z digest=sha256:98df829c98e0e878d8aec2d7971f0d2aa69e8f187203006886a5faf05ca136ba

Observation 0c7ef250-9b1d-4d9c-bea1-6757ad695510 · inbound

Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes cites this paper.

Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T22:06:34.356607Z digest=sha256:b31c4d71b316b995828746f218b4c07d88005539b526aec6c423f3907b7576d2

Observation 6f3789f7-ee4e-4558-b092-08c650c1f62c · inbound

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models cites this paper.

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T08:40:09.385451Z digest=sha256:04997f15098399d5e57a1b986738f3fb89f2ead25d710c4902c2d24167237e86

Observation 855ebdc1-bcb7-4165-9ea1-c5a53fb3ba01 · inbound

HEDGE: Heterogeneous Ensemble for Detection of AI-GEnerated Images in the Wild cites this paper.

HEDGE: Heterogeneous Ensemble for Detection of AI-GEnerated Images in the Wild Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T18:53:14.522561Z digest=sha256:31ee0e4e6bc8a0226cc295991e8d16d96077b0f565117cf204c82c7d68257b95

Observation d16a13e5-ce86-420a-9f85-7b9845f08074 · inbound

LOGER: Local--Global Ensemble for Robust Deepfake Detection in the Wild cites this paper.

LOGER: Local--Global Ensemble for Robust Deepfake Detection in the Wild Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T18:37:11.529615Z digest=sha256:c0250fe1fc86e619d2587a16fd79e9d3eb1a2b0d882b9b1a3a3cabb63138e864

Observation 4f9a683e-8b74-4fa3-a96c-e4ac206f6a02 · inbound

Boosting Robust AIGI Detection with LoRA-based Pairwise Training cites this paper.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c0b776e1e35d604d7608415c8c950978d5b77d8f9e52f197cb76a5f8798c22a9

Observation 1f043df7-8b0d-45c2-9520-6b77bd0b4f5f · inbound

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection cites this paper.

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:01:21.206132Z digest=sha256:1a34947d8d486c86b3d6be3f44c650799b799969f2b3869f41f6e798d0d9516e

Observation 42b40c90-78fc-415a-8fda-7eb225f9fb4c · inbound

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection cites this paper.

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:24:42.346112Z digest=sha256:64ec65112333d751630747a305c7dfe72fffb624739ae03d94ef2ff4f320bf8d

Observation c5a247d1-afe8-4ed6-9344-82f5db2bb849 · inbound

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 56

Resolution
unresolved
no resolver link, observed 2026-07-12T19:12:16.091691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:12:16.091691Z digest=sha256:00e5554841b508fe31bdee4c1fe806c09965d8cf0f0c538abd9fe98452144b46

Observation 98b85534-124e-4ca3-8d57-b65c1806d5ab · inbound

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception cites this paper.

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T07:57:28.950520Z digest=sha256:cdd92a377cc900f8cda1c04deac538f2ce270297950b02d244f39d6b7e9d2765

Observation a740f831-ba00-461d-b6ec-bd4764a1f0b5 · inbound

Towards Generalizable Deepfake Image Detection with Vision Transformers cites this paper.

Towards Generalizable Deepfake Image Detection with Vision Transformers Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T06:36:56.465272Z digest=sha256:642559f699d529f6ff563d19d61a830e3aa0043211f9c6d2bbe870577ba97557

Observation 4b026857-a81e-4734-9be1-786448538354 · inbound

Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded Fusion cites this paper.

Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded Fusion Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-05T01:20:37.319629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-05T01:15:04.990410Z digest=sha256:cd58235fd326eb05c7ed98bcaa6efdad63a75d3928619de622c533c4dd66bc16

Observation 80a1e2c3-2e87-45a6-96d9-00f905f12fb2 · inbound

Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts cites this paper.

Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T21:46:18.489180Z digest=sha256:20ab13c455df1dbe22bc596dea9abf6a431474c7d1f4f1253eb75e374cab3bb0

Observation 8d91377e-2eab-4fa0-a6c0-4d4700d7dfb0 · inbound

Robust Deepfake Detection: Mitigating Spatial Attention Drift via Calibrated Complementary Ensembles cites this paper.

Robust Deepfake Detection: Mitigating Spatial Attention Drift via Calibrated Complementary Ensembles Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:36:57.444874Z digest=sha256:41f6284f157b2ccccaa4ac5066da4eb4357fa1cbd574fe27b3e61f01735a3db8

Observation f5ec0737-bd86-4e4f-a3cd-e040dd16b5ac · inbound

LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection cites this paper.

LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T18:35:37.185926Z digest=sha256:aca9dc889c5658e0e6daea5a5f4197b0567ef294af47efddf8482b27297ff0bc

Observation 593da019-f7d5-40c9-a677-e357abc4a9a5 · inbound

LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection cites this paper.

LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T14:52:09.236878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:52:09.236878Z digest=sha256:cbefd2d52fcd3b6a6ca1f7ab3ddaf24ae4690c045460f085ad9004d8d76eeda1

Observation 0add01cc-07cd-401e-869c-addca662909b · inbound

Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection cites this paper.

Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T02:04:30.218860Z digest=sha256:dffbd5694f1f81003f1c7c1edd012f69a9f0611838cbbb6ce802344b305c779c

Observation d504ec29-f184-4c6b-aae4-842f45673bb6 · inbound

Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection cites this paper.

Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:22:43.574089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T18:18:21.878665Z digest=sha256:c350bc6b8b9bd263a6f030a4ab3aa8b44c5c9e482f31a7ac95cdaa86b3ecd042

Observation eab6a492-28ba-4e1a-b64b-8aa218ff3c7f · inbound

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts cites this paper.

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:30:55.547341Z digest=sha256:f0d3af72a217e0745754b21611e27afdc26d474c3484839e5d43047685dc0137

Observation d5d000ea-9c1f-4012-8649-2e4298c65705 · inbound

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection cites this paper.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T02:35:57.685518Z digest=sha256:2717564ecae53566506a5215a41dccf9bfc3287b6efbc1d4a6d3adeee1e91cf9

Observation 4b1c6df0-d056-4880-90b3-12e32e8c8025 · inbound

HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection cites this paper.

HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:53:51.100301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T18:51:53.451225Z digest=sha256:d2e53af1e02c9240fb12a82354d137c12d3a235a5c9dddad74fefe67da17fe0e

Observation 283fc0eb-3554-4bf9-b586-a38985bcceed · inbound

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection cites this paper.

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:03:47.945043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T18:00:33.346957Z digest=sha256:62dca6e0e24afdf6b463b2069707d9e00142f5263d4b2a526d349f0945a92ee1

Observation 24ebeb57-0bfd-4b92-9836-1ad66bc60da4 · inbound

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection cites this paper.

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:03:14.109387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T07:59:44.436264Z digest=sha256:ee9d5334e277f36f48d2188998a3dbaf92c5d7e68916c1ba8e783a4e773beaa7

Observation e14b2631-9272-485b-8980-aebd977decae · inbound

The Regularizing Power of Language-Training Deepfake Detectors cites this paper.

The Regularizing Power of Language-Training Deepfake Detectors Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:22:46.814484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:19:55.111556Z digest=sha256:cf46523b633413a11fde5f0ce888aa2d5f863fd7f6c407b4ca3eff2fc7aab31e

Observation 054e10fc-67a0-4062-90f6-b2aa40ba536f · inbound

Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection cites this paper.

Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:36:17.599823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T15:12:34.221684Z digest=sha256:070dcc38aa1a151977bbdb925f5a0b2657c706b62ee6f15e4f4ba5e44ad7dd05

Observation 9214bdb9-d38e-4926-9ffb-c7e72a092263 · inbound

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders cites this paper.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:37:26.148783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T18:45:40.075404Z digest=sha256:8f4bd76e42a9fa069fbfff7e733a2e3b6af7e85968cfaaad7f9bd866e63394fb

Observation be2fd4a0-b372-4476-86c4-4003586f4b72 · inbound

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations cites this paper.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-04T15:49:57.123262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:858da5f07c4ec4da108dfd0624683046c6a6d2799a9dd90931463b86551b54dc

Observation 6ade0037-c54f-440e-8e68-63f2225df1ed · inbound

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors cites this paper.

Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-09T17:16:23.140023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T17:12:53.262559Z digest=sha256:b65c26b4cf1bf55bbc588246463b7645e83142423459ef534ddb00dca5980f8f

Observation 6785370b-6910-40cc-80bf-9794fb83eb91 · inbound

GlobalForge: Towards Robust AI-Generated Image Detection cites this paper.

GlobalForge: Towards Robust AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T01:26:29.867563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:26:29.867563Z digest=sha256:67b3bf5a02e8570a9540ee089bdff330255528a91799cbfc684c903f84640ee9

Observation 222e32dd-0f29-49ca-8ef9-10be9f460452 · inbound

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection cites this paper.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T01:25:14.912439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:25:14.912439Z digest=sha256:0d953696683cb0b2ac00cb8108ed2295a9a31f7c44943d5356ad3aed070b6602

Observation 82701a77-5448-4500-a261-0864baf22d3b · inbound

Less is More: Modality-Decoupling for General AIGC Audio-Video Detection cites this paper.

Less is More: Modality-Decoupling for General AIGC Audio-Video Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T02:09:53.253285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:09:53.253285Z digest=sha256:4ef05d14eada30217b33905f43eaf6394ad139e2ec1fdc5bc1263ce322d539cd

Observation cc583ca8-32ad-4ac4-8554-2d8cef42d060 · inbound

DECODE: Tackling Representation and Decision Degradation in Continual AI-Generated Image Detection cites this paper.

DECODE: Tackling Representation and Decision Degradation in Continual AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T23:47:27.144479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:47:27.144479Z digest=sha256:3460a917ad3f7af5373baed937867b3cb2dbaabc8a9fa6ef8413989f1d1e1758