Paper Citation Record · LEDGER

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2411.14798.

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

pith.paper-citation-record.v1
2411.14798 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:57:46.932437Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:27:41.650310Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact3
verified fuzzy30
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72be4b32-4b3c-462e-86a6-cbb63ad8755b · outbound

This paper cites Wasserstein GAN.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Wasserstein GAN

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.794375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9b72b9-85d4-4a86-83ce-1c8fb3634832 · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Self-supervised learning of adversarial exam- ple: Towards good generalizations for deepfake detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.335232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b0ba2dec-3cb3-408c-8a80-2d5d117399f2 · outbound

This paper cites Simswap: An efficient framework for high fidelity face swapping.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Simswap: An efficient framework for high fidelity face swapping

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.326853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7669814-7390-49cd-9566-14f7e0cda3e7 · outbound

This paper cites V oice-face homogeneity tells deep- fake.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach V oice-face homogeneity tells deep- fake

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.318834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa03dea0-eebe-4b89-b43e-72c5b0b60853 · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Stargan v2: Diverse image synthesis for multiple domains

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.310815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a846325a-a88f-4d17-8e2d-38e89fdc5baa · outbound

This paper cites Pentyala, Yuening Li, and Xia Hu.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Pentyala, Yuening Li, and Xia Hu

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.302660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f24e911-ee10-4c42-b28c-9e66e7539c40 · outbound

This paper cites Information bottleneck disentanglement for identity swapping.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Information bottleneck disentanglement for identity swapping

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.295047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e2f05d3-841e-4472-bfd6-2f883db5db04 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.287061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3db05ab0-e95c-424f-b826-7bfa9a434d41 · outbound

This paper cites an unresolved cited work.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:57:47.279363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 034feb21-7dc8-4016-8482-3d8cd8f3aff9 · outbound

This paper cites Courville.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Courville

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.271607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc8b3a95-33cb-4632-8edc-b897cdf1a12d · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Lips don’t lie: A generalisable and robust approach to face forgery detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.263685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f722510-0b7c-490e-881a-c6645bae85b9 · outbound

This paper cites Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.827556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976b60b0-6867-4d34-9f1a-1bda569b85c5 · outbound

This paper cites Shan, and Xilin Chen.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Shan, and Xilin Chen

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.255831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3acb8336-c9c8-444f-8cfd-33abeef57980 · outbound

This paper cites Squeeze-and-excitation networks.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Squeeze-and-excitation networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.248319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e07031d9-6b06-4491-a1b1-35c3910b31cf · outbound

This paper cites CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:57:47.044575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f385d88-5166-4c99-b709-d6c5c8776011 · outbound

This paper cites Zhang, Wenbo Zhou, Weiming Zhang, and Nenghai Yu.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Zhang, Wenbo Zhou, Weiming Zhang, and Nenghai Yu

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.240787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01d57eeb-9d71-4461-88e3-14a49016a9de · outbound

This paper cites Fang, and Weiming Zhang.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Fang, and Weiming Zhang

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.233233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb2a27fb-f5f8-4897-aae1-ba06ad3a8bd1 · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.844124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0422fe7d-0822-4da9-9892-24405e115216 · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach A style-based generator architecture for generative adversarial networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.225645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89cd7b80-8589-43cb-b8a4-3deadfa35399 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Analyzing and improving the image quality of stylegan

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.218056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 65673689-ecb2-4c41-ace0-6630fdf36e18 · outbound

This paper cites an unresolved cited work.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:57:47.210402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 188b47fd-e1cb-4ffd-ad32-4dab869ad0af · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.855115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ee6e83-7d7d-4a6a-8be9-7fa0bb5c6718 · outbound

This paper cites Gradient-based learning applied to document recog- nition.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Gradient-based learning applied to document recog- nition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.202490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b65a50f8-1318-4d2a-bb98-695c99b12877 · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Frequency-aware discriminative feature learning supervised by single-center loss for face forgery de- tection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.194940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a95fe816-3b89-4130-820a-34df2b22daf5 · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Face x-ray for more general face forgery detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.186736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2f8f22c-7b8f-4b53-8903-d2d52cad1fe9 · outbound

This paper cites Deep learning face attributes in the wild.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Deep learning face attributes in the wild

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.179053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19a429e0-3ed7-4077-96ed-bac6ccd6259d · outbound

This paper cites an unresolved cited work.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:57:47.171480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ee5b11c-4068-4b27-98b7-1dc54d0a07d3 · outbound

This paper cites Proactive deep- fake detection using gan-based visible watermarking.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Proactive deep- fake detection using gan-based visible watermarking

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.163498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e6fec1a5-18ca-49ef-b99d-c5c5092f37e1 · outbound

This paper cites FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.874500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66fd3a04-22c3-4e80-b40b-f1f486fb48de · outbound

This paper cites Use of a Capsule Network to Detect Fake Images and Videos.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Use of a Capsule Network to Detect Fake Images and Videos

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.877402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce2fcc10-99a6-4f03-92fa-261dc045fd70 · outbound

This paper cites Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.880395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d17fa3c-6d3d-4d3e-8d82-6135b3f04b99 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.883277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da7330d8-856b-4710-b705-e80511055297 · outbound

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

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.886066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5fe13c-1485-4762-acfa-4a77bcdf2c7e · outbound

This paper cites Detecting and Grounding Multi-Modal Media Manipulation and Beyond.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Detecting and Grounding Multi-Modal Media Manipulation and Beyond

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:57:46.985837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46bc2c17-9966-4ee9-96a0-ca0236c098f7 · outbound

This paper cites Yamasaki.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Yamasaki

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.155808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7d83fd0-4d2b-4023-937f-05ecf2261bd3 · outbound

This paper cites FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:57:46.974439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d66a7031-f7a7-4783-8018-71c2b55202ac · outbound

This paper cites Stegas- tamp: Invisible hyperlinks in physical photographs.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Stegas- tamp: Invisible hyperlinks in physical photographs

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.148066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a767ac48-3bb9-46ba-8380-dc7ad7c9f9ac · outbound

This paper cites Anti-forgery: Towards a stealthy and robust deepfake disruption attack via adversarial perceptual-aware perturbations.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Anti-forgery: Towards a stealthy and robust deepfake disruption attack via adversarial perceptual-aware perturbations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.140257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c476fa83-de41-486e-b1c6-40523afa68f9 · outbound

This paper cites an unresolved cited work.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:57:47.132155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e27a4839-4979-42b0-93a8-634bcea70fb6 · outbound

This paper cites Yang, Yuan Li, Huizhu Jia, and Xiaodong Xie.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Yang, Yuan Li, Huizhu Jia, and Xiaodong Xie

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.124442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 39cca91d-8fcd-496a-a50d-62e54a0a877a · outbound

This paper cites FaceGuard: Proactive Deepfake Detection.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach FaceGuard: Proactive Deepfake Detection

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.910229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd15cf22-f9bf-4fb5-8e78-6a53b8687d06 · outbound

This paper cites Artificial fingerprinting for generative models: Root- ing deepfake attribution in training data.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Artificial fingerprinting for generative models: Root- ing deepfake attribution in training data

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.116529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4feac46-4fae-4102-a0cd-08f9632f4e00 · outbound

This paper cites Responsible Disclosure of Generative Models Using Scalable Fingerprinting.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:57:46.915835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142dacd3-4a29-44bd-a86e-7ef9d4c6d8cb · outbound

This paper cites Udh: Universal deep hiding for steganogra- phy, watermarking, and light field messaging.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Udh: Universal deep hiding for steganogra- phy, watermarking, and light field messaging

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.108278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c1cc3e7e-0a9c-49fe-a4c1-a697dcc8ea2c · outbound

This paper cites Multi-attentional deep- fake detection.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Multi-attentional deep- fake detection

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.099630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 167f742e-a9d5-436b-bbb2-94015a7b1a01 · outbound

This paper cites Learning self-consistency for deep- fake detection.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Learning self-consistency for deep- fake detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.091586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a426005-0019-4098-a6d6-610b0b06827a · outbound

This paper cites Proactive deepfake defence via identity water- 10 marking.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Proactive deepfake defence via identity water- 10 marking

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.083261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e8ddd15-0592-4da8-9127-55d37ef13806 · outbound

This paper cites Hidden: Hiding data with deep networks.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Hidden: Hiding data with deep networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:57:47.075032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e68d03c8-5a30-4ebe-8031-417e84e87486 · outbound

This paper cites an unresolved cited work.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:57:47.066852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation f5c56c42-6ff6-454c-b1aa-93d95fca877f · inbound

PhantomSeal: Proactive Deepfakes Defense with Identity/Context Protection and Forensic Tracing cites this paper.

PhantomSeal: Proactive Deepfakes Defense with Identity/Context Protection and Forensic Tracing Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T15:27:41.650310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.