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Paper Citation Record · LEDGER

Image Watermarking of Generative Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2502.10465.

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

pith.paper-citation-record.v1
2502.10465 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T06:03:33.543383Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:18:33.163138Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T08:19:51.981576Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy34
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5833bbc8-2666-4307-acc7-3b879e7083f5 · outbound

This paper cites Mesonet: a compact facial video forgery detection network.

Image Watermarking of Generative Diffusion Models Mesonet: a compact facial video forgery detection network

Reference 1

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no resolver link, observed 2026-08-08T06:03:32.912118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08ecea21-c913-42a6-b568-0531b16b355a · outbound

This paper cites Threat of adversarial attacks on deep learning in computer vision: A survey.

Image Watermarking of Generative Diffusion Models Threat of adversarial attacks on deep learning in computer vision: A survey

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.359867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d5c19058-3a66-4dae-9190-015776d4e469 · outbound

This paper cites Demystifying MMD GANs.

Image Watermarking of Generative Diffusion Models Demystifying MMD GANs

Reference 3

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no resolver link, observed 2026-08-08T06:03:32.919095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:32.919095Z digest=sha256:fbfc4cf4a750207b623ea6cd234db3e1c7f0f0cae4babe66d0a19cbbbb494adb

Observation 6cd03e8d-6bc5-4066-943e-e5e5ed8c6f53 · outbound

This paper cites A Survey on Generative Diffusion Model.

Image Watermarking of Generative Diffusion Models A Survey on Generative Diffusion Model

Reference 4

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no resolver link, observed 2026-08-08T06:03:32.942378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:32.942378Z digest=sha256:512c607c87378464948e5fd017542c8a65583782fec653d04b9f09527b41a343

Observation c5de7f28-ee1c-4ed7-9018-ad80123d2591 · outbound

This paper cites A con- vex model for edge-histogram specification with applications to edge- preserving smoothing.

Image Watermarking of Generative Diffusion Models A con- vex model for edge-histogram specification with applications to edge- preserving smoothing

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.351620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:32.972672Z digest=sha256:de9d3805ef9f7f2b21d8abdeedee05b7e4c41e6bee6b3798d061967939cde416

Observation 44e869c8-67df-490c-8311-eb8ec391d70d · outbound

This paper cites Digital watermarking and steganography.

Image Watermarking of Generative Diffusion Models Digital watermarking and steganography

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.343322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:32.985049Z digest=sha256:a1ae1c337940fa4fbbee89483a1b653c7c3ab0d8026b4f1c6c4208df7cd56184

Observation 1a154fa2-227f-4564-a4e1-41dce2d51674 · outbound

This paper cites Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection.

Image Watermarking of Generative Diffusion Models Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.334751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.008884Z digest=sha256:3e1e5a3b6a4f1f9d9846219a1301d48337ad07e7719f26da1ee8801a4d6bbf16

Observation 31d631dc-2e77-4288-92cd-31104db4a46d · outbound

This paper cites Generative adversarial networks: An overview.

Image Watermarking of Generative Diffusion Models Generative adversarial networks: An overview

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.326168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.032082Z digest=sha256:75da14f3177abc7f119768da756d3e52426423984205a628ffd412250b3d5f11

Observation b7d53a4f-f653-4a76-a4d8-5516cab5d940 · outbound

This paper cites Image sharpness measure for blurred images in frequency domain.

Image Watermarking of Generative Diffusion Models Image sharpness measure for blurred images in frequency domain

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.317809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 61ba04c7-0f8a-400e-9650-6c8a4fc24a2e · outbound

This paper cites Naturalness and image quality: saturation and lightness variation in color images of natural scenes.

Image Watermarking of Generative Diffusion Models Naturalness and image quality: saturation and lightness variation in color images of natural scenes

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.310164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c56f5994-a777-49c5-8c8b-b7aa38a9dbab · outbound

This paper cites The contourlet transform: an efficient directional multiresolution image representation.

Image Watermarking of Generative Diffusion Models The contourlet transform: an efficient directional multiresolution image representation

Reference 11

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raw_fallback, observed 2026-08-08T06:03:34.302015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e04e33f9-f4c8-44b4-a84c-718325a3027d · outbound

This paper cites Tutorial on Variational Autoencoders.

Image Watermarking of Generative Diffusion Models Tutorial on Variational Autoencoders

Reference 12

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no resolver link, observed 2026-08-08T06:03:33.170143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.170143Z digest=sha256:e88430d80b393dacd56d6d9fff2e7e10dc501868a0e8d4c02f51f840151962e1

Observation e44fd359-2a46-4062-9cfa-7327c1d511e9 · outbound

This paper cites Blind watermarking applied to image authentication.

Image Watermarking of Generative Diffusion Models Blind watermarking applied to image authentication

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.291725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb3fe6a8-650b-442d-b64f-380f01e9cf92 · outbound

This paper cites A cyber defense system against phishing attacks with deep learning game theory and lstm-cnn with african vulture optimiza- tion algorithm (avoa).

Image Watermarking of Generative Diffusion Models A cyber defense system against phishing attacks with deep learning game theory and lstm-cnn with african vulture optimiza- tion algorithm (avoa)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.235639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.200639Z digest=sha256:d9d21f700fb3eec26bb818354f5fe4279803d7645219db31c8326a3aec7ae8c3

Observation 46ab6dac-dad1-4175-b5ec-3642a146b234 · outbound

This paper cites Leveraging frequency analysis for deep fake image recognition.

Image Watermarking of Generative Diffusion Models Leveraging frequency analysis for deep fake image recognition

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.120624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5331a433-974a-4e2a-a930-169724b9aca2 · outbound

This paper cites On the application lbp texture descriptors and its variants for no-reference image quality assessment.

Image Watermarking of Generative Diffusion Models On the application lbp texture descriptors and its variants for no-reference image quality assessment

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.111973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.207000Z digest=sha256:b21fd1d298cb407bfdbe1a4431fdda597c8398b1857759653ce175f0b21eb733

Observation 1c23031b-6fc6-45be-8b93-5ae01e18ac67 · outbound

This paper cites Practical markov chain monte carlo.

Image Watermarking of Generative Diffusion Models Practical markov chain monte carlo

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.102864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.210240Z digest=sha256:251dfbc2081466cb428a98d7094a4e638864a132cf2331aa12d52dfffba7e792

Observation f18fd951-8159-4549-87c5-7b1de81d8a42 · outbound

This paper cites Pggan: Improve password cover rate using the controller.

Image Watermarking of Generative Diffusion Models Pggan: Improve password cover rate using the controller

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.092877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.212610Z digest=sha256:cae364717d5d12ece65d634b0279a317022978f6752087969533a27ca5c96e46

Observation de50ae6a-3b04-45e2-8304-e0b0452b413b · outbound

This paper cites Laplacian score for feature selection.

Image Watermarking of Generative Diffusion Models Laplacian score for feature selection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.084160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8d682cda-792a-42eb-8f6e-02bab4ea2df6 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Image Watermarking of Generative Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 20

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unresolved
no resolver link, observed 2026-08-08T06:03:33.218667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.218667Z digest=sha256:2c3de6fb5bc699e0c650c629b53486c5011967c6a03b0fed1e376f83e0759f12

Observation 76e123c8-3bdc-4ee0-a979-d52e7db31090 · outbound

This paper cites Denoising diffusion probabilistic models.

Image Watermarking of Generative Diffusion Models Denoising diffusion probabilistic models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.070102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.221804Z digest=sha256:d777a0661ce7376d6f67784c128e9f470aaf2b8aa0f4c7fc807e83a8bb00871d

Observation 25e0125a-c90d-45a6-8e00-91c875626e5c · outbound

This paper cites Robust texture-aware local adaptive image watermarking with perceptual guarantee.

Image Watermarking of Generative Diffusion Models Robust texture-aware local adaptive image watermarking with perceptual guarantee

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.061713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.224626Z digest=sha256:c82607d158ce448a02a215732e6fd2dcdd3783941a83f5dcd1f429cd3353630b

Observation b97bf397-5b94-4304-a054-6ab7106a538c · outbound

This paper cites Learning multiple layers of features from tiny images, cifar-10 and cifar-100 datasets, 2009.

Image Watermarking of Generative Diffusion Models Learning multiple layers of features from tiny images, cifar-10 and cifar-100 datasets, 2009

Reference 23

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raw_fallback, observed 2026-08-08T06:03:34.053094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 011a6bb4-d108-4a05-ab93-242459b49e20 · outbound

This paper cites Robust image watermarking using local invariant features.

Image Watermarking of Generative Diffusion Models Robust image watermarking using local invariant features

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.045205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.230456Z digest=sha256:c8dfd78230b967d801826cf90e0769c7a7b1744cb2433a735eaf611ab834d79b

Observation c89b575d-233f-449e-9920-fda09ee46eca · outbound

This paper cites Stl-10 - image recognition dataset, 2017.

Image Watermarking of Generative Diffusion Models Stl-10 - image recognition dataset, 2017

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.036741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.233681Z digest=sha256:8dd3fc51c14e159d02cd9c93b7ca864e7b861ca61d3c275eca055e4d2fa0a49b

Observation 040390a5-76cf-47cf-9e87-d7571ff1d232 · outbound

This paper cites ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties.

Image Watermarking of Generative Diffusion Models ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-08T06:03:33.619289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.235986Z digest=sha256:baa3da68ebc06b961df44d4325da2b92d9a84efbcb993376c59aca6bdaefa390

Observation d42e5cb9-55ab-43b8-995a-eda69685e73f · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

Image Watermarking of Generative Diffusion Models Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 27

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no resolver link, observed 2026-08-08T06:03:33.238871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.238871Z digest=sha256:660e948f703103a779806da54db26304513a91b47a6146f82cd26f6b8c8af48e

Observation db0bd03e-17f5-4ecf-80b7-6ab82cd43c18 · outbound

This paper cites Blind dual watermarking for color images’ authentication and copyright protection.

Image Watermarking of Generative Diffusion Models Blind dual watermarking for color images’ authentication and copyright protection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.028990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.242363Z digest=sha256:159f957ef8074c38aa1a10156e9f990a796670a2d0329b4c6ea842807df800ed

Observation a40080d7-0705-4270-82b0-c069e48d8c4b · outbound

This paper cites Leveraging Optimization for Adaptive Attacks on Image Watermarks.

Image Watermarking of Generative Diffusion Models Leveraging Optimization for Adaptive Attacks on Image Watermarks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.245298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.245298Z digest=sha256:4c79b6393bf3973c69f617e497cd277c39b4d2eb36f4efef240a828a124b557f

Observation 2a0340fd-bd34-4b3e-b096-31a7be0b7874 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Image Watermarking of Generative Diffusion Models Improved denoising diffusion probabilistic models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.248931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.248931Z digest=sha256:32c30ef4b7a9d9fea45eb163b0aa4bfef7c9820465fc9c2c0789949bbdd96ad3

Observation e970f1c0-4e45-4473-af0d-1fa0f56d2034 · outbound

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

Image Watermarking of Generative Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:34.015068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.252120Z digest=sha256:6cedeab01c8690e23db98808fe8dc9abd9bba266beb8aac1e1108f84234ecb44

Observation a0ead0f2-8d50-4340-a550-f5b4fe682386 · outbound

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

Image Watermarking of Generative Diffusion Models Faceforensics++: Learning to detect manipulated facial images

Reference 32

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unresolved
no resolver link, observed 2026-08-08T06:03:33.255044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.255044Z digest=sha256:0386eb3e75f402725149b77127079fd4ce0ef366ae8ef59489e7ae466bde2fee

Observation 17358eba-a265-4eaf-88a4-3d92a0f14353 · outbound

This paper cites Improved techniques for training gans.

Image Watermarking of Generative Diffusion Models Improved techniques for training gans

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.257800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.257800Z digest=sha256:71257f7a94783196a3e259182e7cf8fb29a6fae6b6c885bc4319434bc6003e10

Observation 6cddcc75-4fa4-44ee-9e9a-ea9dcd8fa1d5 · outbound

This paper cites Gray Level Co-Occurrence Matrices: Generalisation and Some New Features.

Image Watermarking of Generative Diffusion Models Gray Level Co-Occurrence Matrices: Generalisation and Some New Features

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.260548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.260548Z digest=sha256:d51752fef36454514a2eb2dae2ab49e8a0d3f05abb53bcf636c4f23f5f48283f

Observation fabb0cd6-6d00-44d8-8683-b6faf7e59e33 · outbound

This paper cites Denoising Diffusion Implicit Models.

Image Watermarking of Generative Diffusion Models Denoising Diffusion Implicit Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.263480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.263480Z digest=sha256:2737720688e0a47be45bfb77b54f679f14b7dfb82ea6271825112bdc3259bbcb

Observation 594bea9a-fbdb-4ff4-94ce-294ddce26201 · outbound

This paper cites Density based smart traffic control system using canny edge detection algorithm for congregating traffic information.

Image Watermarking of Generative Diffusion Models Density based smart traffic control system using canny edge detection algorithm for congregating traffic information

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.938794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1f619902-5955-4311-82d3-56dc451c8603 · outbound

This paper cites The oxford-iiit pet dataset, 2021.

Image Watermarking of Generative Diffusion Models The oxford-iiit pet dataset, 2021

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.851332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.269202Z digest=sha256:b49125c42e84b44db103445f8512c29972783daa3afe6e849a25af6a560f82bc

Observation b32161b8-4e71-49db-90c5-9c51822803d1 · outbound

This paper cites A distributed and cooperative signature-based intrusion detection system framework for multi-channel man-in-the-middle attacks against pro- tected wi-fi networks.

Image Watermarking of Generative Diffusion Models A distributed and cooperative signature-based intrusion detection system framework for multi-channel man-in-the-middle attacks against pro- tected wi-fi networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.812387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1271f766-6bc6-4b00-a0f6-747c64bc0f28 · outbound

This paper cites Information entropy measure for evaluation of image quality.

Image Watermarking of Generative Diffusion Models Information entropy measure for evaluation of image quality

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.752377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.275014Z digest=sha256:a3fe656fba6dc10caf595bfe0ad0b4040ef11d9d8193d61b98b4f66fcb5e532a

Observation c6988fca-90f3-4b95-831b-b39e12b66327 · outbound

This paper cites Neural discrete representation learning.

Image Watermarking of Generative Diffusion Models Neural discrete representation learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.719441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.278109Z digest=sha256:b720ff8c8ab0a1473f4015e99138b4e3ebec5f57ac55bc7a873be52de4c5e36f

Observation b9a3f190-a6ef-4894-9e08-18f7b89f8c75 · outbound

This paper cites Robust image watermarking with synchronization using template enhanced-extracted network.

Image Watermarking of Generative Diffusion Models Robust image watermarking with synchronization using template enhanced-extracted network

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.711241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.327689Z digest=sha256:d238fbce9577e5792a7ef497b9686aa8044231ebd735c1c26e5acfb955e4d381

Observation c9b7139a-c0eb-464e-9475-171917290f11 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Image Watermarking of Generative Diffusion Models Image quality assessment: from error visibility to structural similarity

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.361661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.361661Z digest=sha256:e89f1c860ef670b9ab420d851f59c6c0fb613e259e71994d5daf16dc7c8d80de

Observation 15566915-d292-4885-95d6-a0615db4e76f · outbound

This paper cites A markov- transition model for cascading failures in power grids.

Image Watermarking of Generative Diffusion Models A markov- transition model for cascading failures in power grids

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.696982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.405682Z digest=sha256:f90c9e082f5026cefcddcc9ee2b68adb188728c7f6e495da52c63b4348c2bd59

Observation 6a5713f3-63a4-4c07-b3bd-a8bfe6591d1a · outbound

This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.

Image Watermarking of Generative Diffusion Models Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.419790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.419790Z digest=sha256:780aa0220dbdb5ca9110a38f6ac5557408ee484663fda48ff7509fea9a903bb6

Observation 4fec4448-75ae-4d7f-8828-c8cf4a7c7f09 · outbound

This paper cites Watermarking neural networks with watermarked images.

Image Watermarking of Generative Diffusion Models Watermarking neural networks with watermarked images

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.688422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.450918Z digest=sha256:97c8332dfcdadc6f45e21ec3529a0bc1280477bc4bebfbdff070bf3e05a4eadf

Observation 93edeeac-f143-4362-9beb-f86472526478 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Image Watermarking of Generative Diffusion Models LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T06:03:33.475706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T06:03:33.475706Z digest=sha256:3286f6cbb8fd190519bb2b6c6a8ba634b30acb96432134c7b3ea2ce1694f2e93

Observation 125ddff9-dda9-4609-b35a-9d48242cbda0 · outbound

This paper cites A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level co-occurrence matrix fusion algorithm.

Image Watermarking of Generative Diffusion Models A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level co-occurrence matrix fusion algorithm

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.678271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.517952Z digest=sha256:a062f8fdd10e29b2ea9d634e841a63f8233a58a031b90fa8592204942336997b

Observation 1ed9d9e4-b3f9-4181-ad31-ef9e2d1415ab · outbound

This paper cites Hype: human-eye perceptual evaluation of generative models.

Image Watermarking of Generative Diffusion Models Hype: human-eye perceptual evaluation of generative models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.669329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.537390Z digest=sha256:c067b44fef83c8677aa26ef2e311b466a173f7048dc3e4e0474f66f87da45f46

Observation b9b11796-4d2c-4059-b908-52c724cf1124 · outbound

This paper cites Hidden: Hiding data with deep networks.

Image Watermarking of Generative Diffusion Models Hidden: Hiding data with deep networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.661106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.540303Z digest=sha256:6d12306fb2e37ad8c2cdabb04824af26f836f9472324844dbfba6d62477cfa3d

Observation a8d5564e-6012-4cd9-a385-a62847915bc7 · outbound

This paper cites Robust histogram shape-based method for image watermarking.

Image Watermarking of Generative Diffusion Models Robust histogram shape-based method for image watermarking

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T06:03:33.652509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T06:03:33.543383Z digest=sha256:0773556b812e87e69fa6dc29d606179326699ca5968b638b9e0aef4798b711d2

Pith citing papers

Observation 06f99542-d4c4-4715-81da-3725e762754c · inbound

Dynamic watermarks in images generated by diffusion models cites this paper.

Dynamic watermarks in images generated by diffusion models Image Watermarking of Generative Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T23:18:33.163138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.163138Z digest=sha256:b372ae42a2ad448165a38594cec396cd7b7ce450b013ab76e6142b005caed2e8

Observation 148ce7d4-4602-4126-b0da-7e6012da0ba8 · inbound

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge cites this paper.

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge Image Watermarking of Generative Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T14:40:54.329386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:40:54.329386Z digest=sha256:9ebb29eedd0a4df28ed3f398b637d4b64d09f3309bac5679c39a634e315988f1

Observation ad5653ef-10fb-4279-a36a-34c1c261427f · inbound

CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models cites this paper.

CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models Image Watermarking of Generative Diffusion Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:19:51.986577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T08:19:38.946663Z digest=sha256:c6bbaa46429213f2383b7dea95e4f97c31cb0ae207773a5fe006cef8696b87b8