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Paper Citation Record · LEDGER

Suppressing Gradient Conflict for Generalizable Deepfake Detection

As of 7 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2507.21530.

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

pith.paper-citation-record.v1
2507.21530 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:47:34.016786Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

71 of 71 outbound references displayed

  • verified exact2
  • verified fuzzy64
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1ee763d-c8ac-4eab-a45d-48044c2e8401 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection High- resolution image synthesis with latent diffusion models,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d321f5cf-aea9-4a2d-a864-9976f6e9d3e9 · outbound

This paper cites Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models,

Reference 2

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raw_fallback, observed 2026-08-06T12:47:35.830879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0a54664e-c24a-453d-b267-e581aadee842 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5743618b-d756-4962-9f3a-7e75b33495d0 · outbound

This paper cites Dcface: Synthetic face generation with dual condition diffusion model,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Dcface: Synthetic face generation with dual condition diffusion model,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation de66bf47-f22d-4c90-a916-60187aea132a · outbound

This paper cites Diffusion facial forgery detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Diffusion facial forgery detection,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.604643Z digest=sha256:14e2e683b2e7e622c1b22cca7e8a69fb8538b1f76e7a7888258cc77153ff3b49

Observation 247624d5-2b39-43b9-8739-6b4aff74b8f2 · outbound

This paper cites Region-aware face swapping,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Region-aware face swapping,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.610199Z digest=sha256:6fea443d37a68bdc843d4d5f559147c6ae94f6377d93f7d6c704527541d9dcc0

Observation 549663f8-dcde-4105-827c-c7c0ddc44bb4 · outbound

This paper cites Diffswap: High- fidelity and controllable face swapping via 3d-aware masked diffusion,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Diffswap: High- fidelity and controllable face swapping via 3d-aware masked diffusion,

Reference 7

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raw_fallback, observed 2026-08-06T12:47:35.704604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.616645Z digest=sha256:bfcc84530fa3b2f6cf2cc132f0e3abffd9722da15a30e5e84fe4e538e56f0ea8

Observation 2771f4bb-d7ab-4f29-92ec-e636e331430c · outbound

This paper cites Towards General Visual-Linguistic Face Forgery Detection(V2).

Suppressing Gradient Conflict for Generalizable Deepfake Detection Towards General Visual-Linguistic Face Forgery Detection(V2)

Reference 8

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local_arxiv, observed 2026-08-06T12:47:34.153839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.622340Z digest=sha256:f48855ee6fe57d9f507b34ceeca79944091e359447a251f7a485cc3acbba7e42

Observation 3af3aabd-9a89-4549-8dcc-c7fb2015bb17 · outbound

This paper cites Diffusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Diffusionface: Towards a comprehensive dataset for diffusion-based face forgery analysis,

Reference 9

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raw_fallback, observed 2026-08-06T12:47:35.682030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.627489Z digest=sha256:3301157000c3f978c65ebaa8cf8eef5d0303d89f0878856076aba8f70ed7153a

Observation e0a5a68e-5061-46f9-a8f3-2f965329ed25 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Can we leave deepfake data behind in training deepfake detector?

Reference 10

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raw_fallback, observed 2026-08-06T12:47:35.651873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.635688Z digest=sha256:52f87fca094cc9703f28ff0666350195355f591638c41aa4ee5df974df77615f

Observation f82a7a2b-2a38-47fd-beb8-ab0e48272a28 · outbound

This paper cites Contrastive learning for deepfake classification and localization via multi-label ranking,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Contrastive learning for deepfake classification and localization via multi-label ranking,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a61e62c9-92d7-48b5-a252-32dfb26dd60a · outbound

This paper cites Mmnet: multi- collaboration and multi-supervision network for sequential deepfake detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Mmnet: multi- collaboration and multi-supervision network for sequential deepfake detection,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.649085Z digest=sha256:5c3b2b59dfa2b66468e5af27626e13704920f6928a2c2a8c51e9713962ec7e3f

Observation 5a56d8d1-f272-4d03-bf13-e26153bb401c · outbound

This paper cites Generalizing deepfake video detection with plug-and-play: Video-level blending and spatiotemporal adapter tuning,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Generalizing deepfake video detection with plug-and-play: Video-level blending and spatiotemporal adapter tuning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.653890Z digest=sha256:26f621c451c0cbb6737c6a27760aa3a5ed54e8ba667060942d124cecd28e64b0

Observation a58e58e8-a90a-4c01-9d35-33d1db4ac74b · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Rethinking the up-sampling operations in cnn-based generative network for gener- alizable deepfake detection,

Reference 14

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raw_fallback, observed 2026-08-06T12:47:35.532255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.658936Z digest=sha256:166814d91c6bdf99845326ed7dc8f71ebb3fdceaed041a02f605dfc843e36621

Observation 7a3983b5-a186-4895-a631-d5dac188ae75 · outbound

This paper cites Contrastive pseudo learning for open-world deepfake attribution,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Contrastive pseudo learning for open-world deepfake attribution,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.665612Z digest=sha256:0a0d549e0c8dd1d71295ee4c913416d06149c6255cfb70865e9c86a1439643ca

Observation 66fea0bf-7fbd-4c49-936d-3f704e78dcce · outbound

This paper cites Jointly defending deepfake manipulation and adversarial attack using decoy mechanism,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Jointly defending deepfake manipulation and adversarial attack using decoy mechanism,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.672110Z digest=sha256:cce1b40fbf92d4c00e4bd6581be0d1d2a59ccb4cb73d0ad0ed5da4123fb19e8d

Observation 8ccf16ec-b54d-4ab8-80c2-bf577eb5a842 · outbound

This paper cites Supervised anomaly detection via conditional generative adversarial network and ensemble active learning,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Supervised anomaly detection via conditional generative adversarial network and ensemble active learning,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.677208Z digest=sha256:33b0e12b08354e62ea6bcbb263a324f0227a9b3ab3ec085fe5639bd0bb8e85a7

Observation 72e2f0e4-a8d0-4ca0-98c7-84b0b8fa4965 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Faceforensics++: Learning to detect manipulated facial images,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.682969Z digest=sha256:6de25b6dc4255e0a45f9f1b97289e97110b529ae9e0d6b5e23c9d2969d85807e

Observation d50273d0-1b21-411c-b502-b2560bb7ecc7 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1d77aa0a-48a0-4b1b-8ecd-9425cf65cf04 · outbound

This paper cites Multi- attentional deepfake detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Multi- attentional deepfake detection,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0408ff4-6f57-4b90-b633-aefe84a6b1ab · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Face x-ray for more general face forgery detection,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09c8a3f7-4ecb-442a-bf7f-042f4261c8ad · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Generalizing face forgery detection with high-frequency features,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e0c6915a-8322-4a29-a2c3-c697e5582f59 · outbound

This paper cites Representative forgery mining for fake face detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Representative forgery mining for fake face detection,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9879ed7c-1254-4514-a4f9-d2277e7e1e4c · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Implicit identity leakage: The stumbling block to improving deepfake detection generalization,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d2b0f576-9d4b-4af1-84dd-c706aca0a1dd · outbound

This paper cites Detecting deepfakes with self-blended images,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Detecting deepfakes with self-blended images,

Reference 25

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raw_fallback, observed 2026-08-06T12:47:35.235656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5e9e4478-c10d-4d22-b1f8-c1bbc4c061ff · outbound

This paper cites Freqblender: Enhancing deepfake detection by blending frequency knowledge,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Freqblender: Enhancing deepfake detection by blending frequency knowledge,

Reference 26

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raw_fallback, observed 2026-08-06T12:47:35.202640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.734981Z digest=sha256:88c043f8c67568a622f2d8be9a1ab498ab89c92e1d54eac1bc3aed23642ef776

Observation 589c132d-f349-4f47-a083-b31cec07723b · outbound

This paper cites Learning self- consistency for deepfake detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Learning self- consistency for deepfake detection,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cc3f1bca-069a-4349-b9de-39cb09925f04 · outbound

This paper cites Text-guided human image manipulation via image-text shared space,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Text-guided human image manipulation via image-text shared space,

Reference 28

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raw_fallback, observed 2026-08-06T12:47:35.158105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9da2af78-c3e5-44c1-90cf-689cd46b74df · outbound

This paper cites Deepfake detection based on discrepancies between faces and their context,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Deepfake detection based on discrepancies between faces and their context,

Reference 29

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raw_fallback, observed 2026-08-06T12:47:35.132890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.756078Z digest=sha256:350cef7d9672c2508c92d5a06f3eeadbaac72c7cb58cb9bc3d7446398955abf6

Observation 026aec7d-f079-4427-82a7-78141c0e1832 · outbound

This paper cites Auto-encoding variational bayes,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Auto-encoding variational bayes,

Reference 30

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raw_fallback, observed 2026-08-06T12:47:35.107188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.761584Z digest=sha256:3670055c2afd03822ae64faab55506d39620f97547efdabb6dbcda5bda41680f

Observation 2a5f6720-fa2c-469c-9f01-359cde55fc05 · outbound

This paper cites Generative adversarial nets,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Generative adversarial nets,

Reference 31

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raw_fallback, observed 2026-08-06T12:47:35.079739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.769645Z digest=sha256:e671147fe9a46b507055e5799e0f026f4ca386f12b062b3e7464bb920e5a5140

Observation d3ee33eb-3f7f-4150-849a-4d97367af0bc · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Face2face: Real-time face capture and reenactment of RGB videos,

Reference 32

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no resolver link, observed 2026-08-06T12:47:33.778118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:47:33.778118Z digest=sha256:6a5ca759052a2a79b29740ab84b1a2be54c1c1e3d8c8b88f27a5b4fe2af85892

Observation d351cda1-d367-4f71-b83f-9154c5b546af · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection A style-based generator architecture for generative adversarial networks,

Reference 33

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no resolver link, observed 2026-08-06T12:47:33.786672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:47:33.786672Z digest=sha256:1752e09cdf7cb5a0a2a222dd219a52bd548d79bbdac3dc633df54e20b901fab0

Observation 876b2cbd-98d5-4eda-931a-026837956ada · outbound

This paper cites Towards open-set identity preserving face synthesis,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Towards open-set identity preserving face synthesis,

Reference 34

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raw_fallback, observed 2026-08-06T12:47:34.994379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.792318Z digest=sha256:d8c4b4a1b8e376c5dec412bacde4e4bbe8c760b27b09a00fd93477881faf9fc2

Observation 094d0dd3-9926-474f-9ea9-63bf766dc4d3 · outbound

This paper cites Exchanging faces in images,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Exchanging faces in images,

Reference 35

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raw_fallback, observed 2026-08-06T12:47:34.974578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.798268Z digest=sha256:0553f8624c342cab983bc5b3863a197275a163f5f20054a732ab67845defc51c

Observation 47e67046-dc74-4dd1-913b-bc9d652e69fc · outbound

This paper cites gDDIM: Generalized denoising diffusion implicit models.

Suppressing Gradient Conflict for Generalizable Deepfake Detection gDDIM: Generalized denoising diffusion implicit models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:33.803940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:47:33.803940Z digest=sha256:edaf442d10b03b33becc38a2f42a44c5fd920736b91a95b64890bd7988cd9131

Observation 3d901d40-9c4c-4b95-8d74-9e11871982d5 · outbound

This paper cites Improved denoising diffusion proba- bilistic models,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Improved denoising diffusion proba- bilistic models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.955259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.810988Z digest=sha256:2b249bc54b4e0e22ead65d36f8f0ec9fc1c328062fc8178cb029a8de5a5b8594

Observation 07c18022-e586-4168-ac64-8d65e4fbdc38 · outbound

This paper cites BDDM: bilateral denoising diffusion models for fast and high-quality speech synthesis,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection BDDM: bilateral denoising diffusion models for fast and high-quality speech synthesis,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.938639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.816258Z digest=sha256:10990003da5cc274dbd875b9c6f5b8df481f02e6619409897ff3c09520925454

Observation 3ca187eb-e5a8-40b1-9a1a-709d723f698c · outbound

This paper cites Denoising diffusion implicit models,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Denoising diffusion implicit models,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.910320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.821088Z digest=sha256:d0dceb0ef01213c6367b26613a4f1ccd9516781716257029bd52b01cc2e25128

Observation 6e3cb0a3-845e-477a-b954-80825c302c65 · outbound

This paper cites Denoising diffusion probabilistic models,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Denoising diffusion probabilistic models,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.892333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.826486Z digest=sha256:f92c01f7f4f8d0a0bac5132d752733d83cdac0a1d999cf0c37c619a7ae3c74c9

Observation 179058b3-df9e-4b7e-97f0-13554a9b62be · outbound

This paper cites Diffface: Diffusion-based face swapping with facial guidance,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Diffface: Diffusion-based face swapping with facial guidance,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.871169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.832619Z digest=sha256:93a502fc1041c193a551ccc0aa43c1e725168281b13fa1cacd8b4a30bb5a6760

Observation 396a11d5-8e16-4b9c-916b-62994aad645f · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Transcending forgery specificity with latent space augmentation for generalizable deepfake detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.843999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.840413Z digest=sha256:a98ca55fb9c777caddc15a5ca16ac0be9276477b0c68a140de253332989b8595

Observation 5d6a1ac7-9415-456e-9356-40b78b0283b4 · outbound

This paper cites Improving generalization of deepfake detectors by imposing gradient regularization,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Improving generalization of deepfake detectors by imposing gradient regularization,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.812827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.847423Z digest=sha256:4692ff3378f05c100382fe0def5e5ea4530446d7e1626805b54338d3846bf3c1

Observation f2b46da0-5353-4c83-bfbd-27cfb12a771c · outbound

This paper cites DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution.

Suppressing Gradient Conflict for Generalizable Deepfake Detection DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:47:34.086641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.856259Z digest=sha256:bef5e8da2cae167cfa0bd410a7b729724acdb7eb5f4c5c6cf1006cde4aa42a8e

Observation d3c49632-1ffb-4685-bad7-22bf32e6153c · outbound

This paper cites Exploring frequency adversarial attacks for face forgery detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Exploring frequency adversarial attacks for face forgery detection,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.795005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.862750Z digest=sha256:c41a39a8e58cf274fd80f788d2a0be034932208a93c76006548a6e98fd9c4ee4

Observation bb53a9b7-7d3d-4d6c-af55-57c3690fd08f · outbound

This paper cites Sstnet: Detecting manipulated faces through spatial, steganalysis and temporal features,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Sstnet: Detecting manipulated faces through spatial, steganalysis and temporal features,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.778065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.869272Z digest=sha256:b8b55990f78546de6226f1e5ec8c21c3424b791aaba9f5c704739482a4eff31a

Observation cea4ce7b-9dc1-4d89-ab0a-dccaa5888035 · outbound

This paper cites Multi-factor adaptive vision selection for egocentric video question answering,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Multi-factor adaptive vision selection for egocentric video question answering,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.742577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.874789Z digest=sha256:a90e2b90c6d973773e9c799496ba0207664b73f3814bae2712be5693fa9466b4

Observation 5e364a2d-70f6-48d9-b3a8-7a170545581d · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.695334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.879688Z digest=sha256:2d20ee04e04b5e991bd9c067c99420deec0fc13891017889297dda0d5d680d3f

Observation be70ed2b-3618-43b8-b866-72c849e4ae90 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.651928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.885155Z digest=sha256:b8a312ae755db573c1d6597093feea4f82cd3458ddeea1c62fe39b99a8c69b23

Observation c668f52a-a34e-44ac-8837-17aee89ab28b · outbound

This paper cites V oice-face homogeneity tells deepfake,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection V oice-face homogeneity tells deepfake,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.622391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.890075Z digest=sha256:be62de1f6036dd86d0bb2bd098ada673cc71b4ac4560a6169d0a266d94088300

Observation 95a536e7-dc4c-4771-95a8-eb01843b194f · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Leveraging real talking faces via self-supervision for robust forgery detection,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.591682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.895074Z digest=sha256:4d14a82d0ba2496ffeecca4397b792cacee357323b44e59b5cc87338eda3e830

Observation 4ebc9df6-764a-4486-815a-69ff29b35b5e · outbound

This paper cites Emotions don’t lie: An audio-visual deepfake detection method using affective cues,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Emotions don’t lie: An audio-visual deepfake detection method using affective cues,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.564144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.900082Z digest=sha256:d9e65e1c0c26f3f50343cab750102eb9f79942f5550f6b11965a29589891717c

Observation f2d12443-127a-4dae-9aa1-086a3b1adaf2 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Dual contrastive learning for general face forgery detection,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.541660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.904825Z digest=sha256:a694ddb139b4b6cac98da124642c7e5e9741d566a496becb74fd2f1acb4120af

Observation d1b88a7d-bb19-4690-b029-d044d43549f2 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.522307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.909439Z digest=sha256:fba685b6775b6f3a860844c7b17655d64c8c4acd8b79369923b3fe61499ec155

Observation 0d7a44f9-722b-44ea-9514-66df371b98cb · outbound

This paper cites UCF: uncovering common features for generalizable deepfake detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection UCF: uncovering common features for generalizable deepfake detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.502452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.914598Z digest=sha256:092629562a55ef9dca933c1064d5f932adb9bdc13583cf46ad892b4f5bb3d87b

Observation 7adcf623-45df-44d7-bd0d-73b8fd068c64 · outbound

This paper cites Towards more general video-based deepfake detection through facial feature guided adaptation for foundation model,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Towards more general video-based deepfake detection through facial feature guided adaptation for foundation model,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.474826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.920438Z digest=sha256:3342115bd6d832612f24aa7d60f7a7daa744ba82589a5cb7e15ae4af5bddb752

Observation 99633e12-f339-4bb3-a198-523349475d6c · outbound

This paper cites Conflict-averse gradient descent for multi-task learning,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Conflict-averse gradient descent for multi-task learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.450582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.925755Z digest=sha256:297c7d55882a1e847b412e56b1ca9f5bcbb288823b9fa143decfd53b585a898f

Observation 9d33cd8a-4596-4103-8248-ad8a9e48dde0 · outbound

This paper cites Gradient surgery for multi-task learning,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Gradient surgery for multi-task learning,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.428212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.932202Z digest=sha256:135fa048488c315452c10f62b0aac5b1ebe46851e8d67584213e7db2da33a31b

Observation 6d95cc4d-ac71-43ff-8e60-0362ab36ad39 · outbound

This paper cites Gradient alignment for cross-domain face anti-spoofing,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Gradient alignment for cross-domain face anti-spoofing,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.408177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.937696Z digest=sha256:c127b6d53621aecb8a9792f83737dd59e0c70089a9f80ddf58f494dceed175a2

Observation 480496aa-e6d5-4de3-a3b1-424e76f5c293 · outbound

This paper cites Sharpness-aware gradient matching for domain generalization,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Sharpness-aware gradient matching for domain generalization,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.387904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.942744Z digest=sha256:7fcead9e22fb324c43e2fb8aa5c3248f32f428859ab885bbaf1a44974c1a4057

Observation ebf60d28-0eb9-45ba-9f5d-84b78ec68e34 · outbound

This paper cites Nasvit: Neural architecture search for efficient vision transformers with gradient conflict-aware supernet training,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Nasvit: Neural architecture search for efficient vision transformers with gradient conflict-aware supernet training,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.366877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.948508Z digest=sha256:18830cffc3e195c241fdf9f20dedb21a3a99b93f503c9edf6ba8ffc95477c4ef

Observation 0ed05310-dff4-48d3-9933-df5e04c32f64 · outbound

This paper cites Celeb-df: A large-scale challenging dataset for deepfake forensics,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Celeb-df: A large-scale challenging dataset for deepfake forensics,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.346492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.954307Z digest=sha256:20878d16d0da7f115b5557a8a2e0cbb293b11cd4f26a89da2f6ac09b7e205379

Observation c668e9b2-5793-4480-8148-810e4321912f · outbound

This paper cites The deepfake detection challenge dataset,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection The deepfake detection challenge dataset,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.327505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.959953Z digest=sha256:0bc7653e08e83a2ab5d298c6d912294407a32201393a2d5f26ee7a20b44ff8c4

Observation afb509a1-f4f4-41d1-96a1-49ad053cd899 · outbound

This paper cites In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.308867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.965482Z digest=sha256:8ba9fc0648719dab0d79720c8846fd101c12c8e6ac9f4f3d5d0b7e0006e0bbf1

Observation f8ab4a6f-9adf-41e3-876a-b80799cc56dc · outbound

This paper cites CORE: consistent representation learning for face forgery detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection CORE: consistent representation learning for face forgery detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.287559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.972387Z digest=sha256:db152f6a00c7d9f7f4a68ddc107748ad4250e399105947e97f64ede1866ea777

Observation 92c47846-41ae-4e32-9e4b-cac64df1713d · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection End-to- end reconstruction-classification learning for face forgery detection,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:33.979129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:47:33.979129Z digest=sha256:20f0ada53d4178198779115c999d060e10c3a5000b2bab52c0fdd178a1c1979c

Observation d0fe9d2e-7237-48a7-837d-957ff69b10d3 · outbound

This paper cites Learning to discover forgery cues for face forgery detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Learning to discover forgery cues for face forgery detection,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.246841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.983954Z digest=sha256:6d2e477ab45701d67dfcd5d99450cb06dbd689c09fe1a4defdd67a7953364150

Observation f8405602-c046-4548-a07c-5ec4dd9039ec · outbound

This paper cites Fully unsupervised deepfake video detection via enhanced contrastive learning,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Fully unsupervised deepfake video detection via enhanced contrastive learning,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.228003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:33.995992Z digest=sha256:3bbb6a8690dc750a5fd034bc8f5312c38d0540a678f008433e5162dbb843a7c9

Observation da6e5736-4c87-4d79-a813-f3b46febc1e6 · outbound

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection Exploiting style latent flows for generalizing deepfake video detection,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.208529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:34.001913Z digest=sha256:1e1f197ecd28845fa0832c12167996d37d1392ac5834289050f075d2c929d06e

Observation 51e4cdfc-cfa2-4698-a84a-671ae994a648 · outbound

This paper cites Orthogonal subspace decomposition for generalizable ai-generated image detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Orthogonal subspace decomposition for generalizable ai-generated image detection,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.189342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:34.010153Z digest=sha256:497701f524c0c341e8774a6aaa939db8da70e6f01f2602d8cea05540a163fd08

Observation 6100ca02-0d21-4c14-8050-bbf503713132 · outbound

This paper cites Towards general visual-linguistic face forgery detection,.

Suppressing Gradient Conflict for Generalizable Deepfake Detection Towards general visual-linguistic face forgery detection,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:34.171680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:47:34.016786Z digest=sha256:68ac578553befd0e3664c8d9ed5ecfcb7f9bf2cefe2e993e1d2ce0ea6a89a087

Pith citing papers

No inbound Pith citation observations are available.