Pith. sign in

Paper Citation Record · LEDGER

Suppressing Gradient Conflict for Generalizable Deepfake Detection

As of 17 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 2026-08-17T06:30:58.91139+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.852552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.420704Z digest=sha256:5f2fd16a9a08956e75cfad0993266258adc7887bb2339f3ff84454306266d1a7

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.428504Z digest=sha256:e41e30a1cb0ffacd6ab29bbdb8d0ea6881270305551bd9bdf292e6abd45fa0f1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.807211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.439127Z digest=sha256:67c14a39ef732ebd1fda18a5ed1e662274bb0e83cde1ce8b3ca1a38e95b642cb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.778561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.595863Z digest=sha256:14647938b48b54e484eac7b6b16d5c4b00e03621ff1df15f7f1bc4522138a64c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.752025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.604643Z digest=sha256:7f23a89b6b2fffebe7a7ec0b88120ccae63dc6a09b7fd5545f129e3babba4d51

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.731044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.610199Z digest=sha256:e2cda1a2da778881d93bce9b05502ee12e6db70b1cb72a6ba34c62c47020985a

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.616645Z digest=sha256:3188b9a00f76db1edbb9f314e56eedbddce8f2a2ba3514254e2e750ac6ba1a47

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.622340Z digest=sha256:a28421359f660be912473ff3a36f40100b9b14c76ffa80cf2b3ade93b0fbe0dd

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.627489Z digest=sha256:8e6d65260a81bef0a9d9ac3ccad4099fa55555a6b6f002f0f3ccf734c3a7a0fd

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.635688Z digest=sha256:c34ceac198d232c9a84660bfe5f7c458cd55dd764da260902733341d958bf600

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.621406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.642405Z digest=sha256:0c1509bc34bc1a268f1c20b6d9076bef8fc698a8b7ac5212b1b1a4e4a90725d6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.581070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.649085Z digest=sha256:2ddc429cf42f99da05582f3ad028f6bcf72aa8672bd0e898b862f9bffab3e966

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.556086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.653890Z digest=sha256:3302cbc9afe71c19335f95ca4e17f2171a07196ab606e4962e17af1233d29e80

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.658936Z digest=sha256:21d2be9b087084bb78bda3407bd9dcd1398f814edfa413c3cef6082cafaeb067

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.503148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.665612Z digest=sha256:64cac4e7d321a7c78e38f1e3af3d599842b545a55aaca0e465bd622d3622fce2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.472930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.672110Z digest=sha256:5f78a06b19145cd4b453d8eb5274f691bb96bcd766517a3a979f997f5a2a9660

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.452240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.677208Z digest=sha256:ed5f7d5865cf00294bbbd76a615f2f44523068e37789218dc1f071b6e9d4b0e2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.424998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.682969Z digest=sha256:2b2f81cae4fb20423bc09e630174c68d5ba07770d9249e479474184b490c89da

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.393821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.688590Z digest=sha256:e03cec61345b85bf12fe298aa5bdcee8bdc2cc87ca6a2ad9dc88acb97812ca9d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.368128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.693232Z digest=sha256:75c267799c56caef915cefb11491450bdc1eac71ed3358a066440cbefe4d189d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:33.699592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:47:33.699592Z digest=sha256:f8321e6f1630403bf47ed31d7c6ae4c9061be6b2c537d4088688d5401bfe120d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.314601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.707028Z digest=sha256:30931d9e863cb9e1af1bca60fe0bd5c67176071fc13916d98298e2ea61318755

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.282846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.713017Z digest=sha256:0a84c5d6ed9db45f09bdf22a1c27dfd3293746a65455d776e84839f413fd93ae

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.261044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.721838Z digest=sha256:7d52e69ea5d734fc65784f5cf0b6ac418bfb3cdea3402abe0d25d0b479194bb2

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.729148Z digest=sha256:f45c8bfe9fd681dab2ec8a6af15a84be49a0e47610d0d775063a2786f72c9996

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.734981Z digest=sha256:b47c4c8242f01967c82e5141370f9ccf179a30f682d34c7f6c75babf8d5a7c4f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:47:35.177638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.741432Z digest=sha256:b1ff1bcca9ebbfbe84204d673dc70159df5359da56d0f1e544fde90cbf454c47

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.750595Z digest=sha256:64494c9a5cf42f1e100a7995bf48f0eba210099a75373d972012421bfd9e49f7

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.756078Z digest=sha256:ddbea057b8dd02461ccb5baf51c01397e37b857a2056777a19c841f6847c7967

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.761584Z digest=sha256:855be011c20fd46632cef1a566345b59ccf0c7f9ecea10ce1ff224a6fb61b6b2

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.769645Z digest=sha256:081abc6a053770f071abd46e37647b42b9d1c8effa950ef0114ff98870ee7783

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

Resolution
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:b667ae7d55496e37622d3cdeab2f3adf012af4f0a40cfafab5cd32d77c6b37e6

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

Resolution
unresolved
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:c28f35b94051e0b6c2f4b9b00371bfd0d3c84386e8c72b27e0ce405de6807884

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.792318Z digest=sha256:e41329df686c0f7122fb30eb0eef029eb92a47d61432e8ea838fcc885bd18688

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.798268Z digest=sha256:7a07e4ac3e25f82cfd0a168b4503f01f0b1311529653c26ab4a65aabc6d86c71

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=sha256:7894cc81f0b8bec71ec1e0d754a57e8036791842d58106705714d75d12869600

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.810988Z digest=sha256:45c8c0fa1e93a2fd3e841c35d230e22c4f0ffddfc2114433cf84c068910b7b23

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.816258Z digest=sha256:501a6c36486500cd3f233f95df6abc626dc1f2ed72c464c099820c81ca34c6ba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.821088Z digest=sha256:bf61c2cadf61ae3751f3ad7c188975d44e3832d2a91502cfea1a0d840cfc4d6a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.826486Z digest=sha256:c90ee2d5b8c43d020d9f0482d504753ae899bbacbebe9a04b4e5f68e6b04c10e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.832619Z digest=sha256:147aa2197f34e4581d4d0613bc468409495602ffa86e0a0a9558611c733973a1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.840413Z digest=sha256:0c22f24c5c9b98e8b4bfa7f765d51a85fd73f867afcda561269aaf29da45e2bf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.847423Z digest=sha256:b4da283d4fd7dc21a19932cf0a232aa127b495443391db1376ad0b4e4a0a72ad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.856259Z digest=sha256:6aa7a660da774dc1a378f1ef11f324a4a2f8c4153dcefc605ee2f3c609516f75

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.862750Z digest=sha256:896cb238e555f4e5032509f79804e495687ac10fb48747a4e933e5a69c6052c5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.869272Z digest=sha256:1d450ae3b808e0e4953ed57228066459ab72f65fbd83c8596a7fcd78f0a497ea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.874789Z digest=sha256:b91db75ab7ceba9b401e379e609ad392d4e334a9452975b8da0cde90929b7640

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.879688Z digest=sha256:dc7aa0864e65b7f455cf8dc3b24da171e2ce6be9ee978ccff766628cffbed4e4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.885155Z digest=sha256:844a3eedf7407668f299ef33ef6bbb57a065a6e1b9f04b215f813544b383c8ea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.890075Z digest=sha256:39e1779c772987cbe58452ce5885fa17dd4328fb8687950bf8f0e9cf77757871

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.895074Z digest=sha256:e081c24dfa57eb827ca231c7f05f25e324ad5ed9972161864c4b6f999401509f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.900082Z digest=sha256:374da1f229385985bc4acd919a3468df31f778ae8448c24c3bfed05120ab2ae1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.904825Z digest=sha256:315f69e6d6280b93597538df25ec774b384cc6fc16c81287958e50e58fbda477

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.909439Z digest=sha256:3fd0b421c31d743f6beeda2913bf482c8a323a4701458417d3e34ae6b4b984ee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.914598Z digest=sha256:cc4623216768518fb021f6c1d084835710a6e45e669fed05f79ec36cb33928de

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.920438Z digest=sha256:e6ce02140a170ceb559351d0b72e16ddf3dfbacb7038209c2a888c55d240ef0a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.925755Z digest=sha256:42df7a6f5f43c0405867903663841183a292b29be05a053cb8ac61f1805c5e36

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.932202Z digest=sha256:7232fcd2969164af5fda137a3a9098fd78f181d4cd93cb12b2b611ed6d079a3b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.937696Z digest=sha256:f64bedad527d8f35e15f2793b4ea9a7fac74cce601fa0514afd73e53e4a3f159

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.942744Z digest=sha256:ff25b770986d348d527ddd8623234f247a67fbb87ab6e0ff01c0859adca26ad7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.948508Z digest=sha256:7c0fd05f4bad4b4695dae721dd4c5d8b72d9a08ca6cf44ccd3bb38970a7caa4b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.954307Z digest=sha256:af65c1e9c113bd92300768aa1eb83e243ad6d8816f274ded51f241048a7bfae7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.959953Z digest=sha256:46fe202db5774971099202bfb19715d30cfaec837959392d59af1298fc83e784

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.965482Z digest=sha256:d53668e277df657234b3be8d35d78505a3cf9b5a3c0e217ea5c615bca4b1fa75

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.972387Z digest=sha256:e2083a01b589c49650e8114165ecd7a226e680103139decd4b4b52a512dac859

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=sha256:0788506b3b205042352cea75121819b4150edc5b334a59f5707fcf881ecac0cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.983954Z digest=sha256:7b32c67f029a17ad0c2315b8fce8d02673894f55e2e2219d2194d194f85e3515

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:33.995992Z digest=sha256:a46221ce0e30d1883f2d4b16bc1c3fe49f15430b645ca710a9da6d18373320ca

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:34.001913Z digest=sha256:115b88ef51214e37f35496920831e70007e3aa3c68f70e0cc130debfecff0e5f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:34.010153Z digest=sha256:d1db49cc422617363255894709b0fb80b9bab51ef0ddd159186e13be7d4e768c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:47:34.016786Z digest=sha256:edf4d2b1707cc4d3da68e8594e70b2aba20b6010026562f89e06d87e8eed92d0

Pith citing papers

No inbound Pith citation observations are available.