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Paper Citation Record · LEDGER

Suppressing Gradient Conflict for Generalizable Deepfake Detection

As of 20 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 2026-08-20T06:33:59.587034+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

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.595863Z digest=sha256:600bba6d04fa00a1280fac4fa5812fb171952b7f15a8999269be75c757ca51d4

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.616645Z digest=sha256:c474aa8a6cacba509ffb0398cacca62fab4f673f0402ecae8005696c9b0e89df

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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verified exact
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 2026-08-20T06:33:59.587034+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.627489Z digest=sha256:9b277c3f91f48ef4074db92a1d22765666ed16436673001c2f8a07cb38e7d439

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

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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

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.734981Z digest=sha256:a6d047904e2d2d7669a56739df17544b5cf7c98bf8ac668616807c8a386c0560

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.756078Z digest=sha256:33259397775c50cfd89b23db14c9af6dae2ed8c2501d287e18da4f335d3e9e31

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.761584Z digest=sha256:eb555787c4f1c321664ae820868b1708f3097e4a280a364c197dec4f6b83634f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.769645Z digest=sha256:8c8e3f53942d1cb1fcf7e32ad554fabcc56fff310d8f501c5ecc2d8ef55b9eda

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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unresolved
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=sha256:5a217581bfe9b882820875fb31193a76792dadec7bcc6148bdd485e05c427918

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=sha256:7f860d71a4751ad069875ca8fe93d16a6d156964bf0177671239c1e86b42cbcc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.792318Z digest=sha256:0458893dd0cd97da57fcb4974005ea4aba4623925ecbdc1a439a90f8332f9bd6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.798268Z digest=sha256:0afec29742a9cbde27e82a4d39926f7d3bd63d8424d6370e651a2217e62088a2

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

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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=sha256:4e2376e7cb8ecdb782903ab5963a8cecc03831d3c29bc7fc9e628020c7ad7cca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.810988Z digest=sha256:bb344198cfe9f1ed7b21967fc2a6cce5c97bc3d1231f636b9375abd96339d2ae

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.816258Z digest=sha256:68c20b20bef9b138b47f8d08989422a001a8b047dca984dd068dc17089a2d085

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.821088Z digest=sha256:0dfe898ce231ca9dc719d3e491c0685aeb8f8fcab703069d32ef7026d0ee4d99

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.826486Z digest=sha256:c45aeffbac96ef84c4659f4b51c5c85d0e9b43809db283acd17a1073802ab378

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.832619Z digest=sha256:b8ccdf79f01c7cae82a0da8134352661badb08e139144ef24387c6a0683c8ba7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.840413Z digest=sha256:e2d3b93756a0afbc5b4d7079cd207fb71e9568ce7bc2b2afd4e291a80ea930b4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.847423Z digest=sha256:0b9ff42436075cf825445fee34d2579138e7c04c4fa759e222222aad83789ef5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.856259Z digest=sha256:ea423339de3050117e87cace74c0ae5620e8fdcb9d2810424f71f4a594774662

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.862750Z digest=sha256:8f317ce0a5d5e9d75890f2f425fa0e6cf00a2d80820b392098623a257716293a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.869272Z digest=sha256:c048a91fcfb1fff10272096f90e43c8f7bd5334e5393d20fa3a7b14c1947bacb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.874789Z digest=sha256:2377f5ec41ff81eaf2267d9a66c721ddf1bcd9bd3bfc40e143cc7a91959907c0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.879688Z digest=sha256:00f64915899bfe4c819e1c63efd7cf7edd0639140186bd3b8507897209072702

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.885155Z digest=sha256:d5a4f95b5821f2374a41294ef01d0700491e10a438d46710914f41600454fb90

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.890075Z digest=sha256:e075603bca9ff8f04629b5d6131b540590e2e781dad6c3a1bb55b46d65af19f8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.895074Z digest=sha256:191c76561d4c6e87e0545e45ef6d5f9405a71932ecfbb046fcc0bba31f03e460

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.900082Z digest=sha256:75803708c3d347fa667f11fbf903b4fc87218cda2201a62b58970c340fdb9928

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.904825Z digest=sha256:c115b9785e38b2c17038cc1859ccab13c81b1fd78f92f2277fc680d60e5772fd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.909439Z digest=sha256:99fc1dbc50e3540c5e0937fabf487ef27de5d8753567b75b1fa22ee6f202211a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.914598Z digest=sha256:f55a4fec578edb7ec3ea61068347a2a8c151b7f48aedd6e4d6cd69ac207710a2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.920438Z digest=sha256:d4533721d78e52761721319611f51331b183aedf85f53c76abebd33a1c78187e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.925755Z digest=sha256:620494c0f3a548986f5a5e59e6aba4fa5ca0b2cf5933f741fa4f7b37fdb41680

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.932202Z digest=sha256:a46e16b66b9398ad6462c3f443b47c984166f7709b0a9a98f71769e0de2fe297

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.937696Z digest=sha256:077ec0b3e0c0ec7a906fb0b7605eed8319e5d24b53e9676ee116597d59b04395

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.942744Z digest=sha256:6d565a98f3306be4f6bb1ca89978b51e4f91146627b55702c59c6f8e15e9c0f1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.948508Z digest=sha256:0a70de16b1539a5b8a1ae59f09d072bee4925436659b1383e84fbc6b611675d2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.954307Z digest=sha256:ce4f781f68daae699fa97a401baa7905586463310949ca60391eab6ea7647971

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.959953Z digest=sha256:aa9565821beb69f9ac22863aba906760656051c556094d76a041442ad0ccc033

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.965482Z digest=sha256:307b4dfdc9e687b59e702564153e20531658c85db6f92bf8d4a8e9ce4ce50fb6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.972387Z digest=sha256:89822af491fedb544c7670bea54ac25ffc86e34aa131b1c0655313107a13dae7

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=sha256:8a248db07f74befd71a61736425fcffc829adaae71d58822f8c6cd72e8e6ba9a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.983954Z digest=sha256:7073320c5058fb6a33b9b6cdfd4b0ea9a5ac7f6b07ff3669dccd0ff5ebf95d1a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:33.995992Z digest=sha256:b6d7adf62e8ede894410d97f2ba10403eaa3465f02f422f6db40ad64dff8d54c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:34.001913Z digest=sha256:385059e74ef3503e4c2c2b3be408713dc6f0f38d8ed0a1dbb64eefc821a8d257

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:34.010153Z digest=sha256:7e77b9d0a689d10b48ef69d920b72bb0e7ff39f0215ecd6589210561b30d9e9f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T12:47:34.016786Z digest=sha256:c2ba68fad9bb75ea1ff7453f58dbc7f55c07d4b8e493a8bb47bd3ff2b381935b

Pith citing papers

No inbound Pith citation observations are available.