Paper Citation Record · LEDGER

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 4 inbound Pith citation observations for arXiv:2504.15026.

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

pith.paper-citation-record.v1
2504.15026 v2

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:42:18.633349Z

measured 88 of 88 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:40:51.152382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:26:01.021119Z

Reference resolution

84 of 84 outbound references displayed

verified exact1
verified fuzzy36
unresolved47
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afbca386-89b8-4c72-b7a3-8e0282439eba · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.171026Z

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Unavailable: canonical work link unavailable.

Observation cb78b50f-b4d6-4fcf-ae34-702a27deef8e · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Generative modeling by estimating gradients of the data distribution,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.177075Z

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Observation dbe358b7-ac75-42a1-b8ef-989c1147f763 · outbound

This paper cites Score-based generative modeling through stochastic differ- ential equations,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Score-based generative modeling through stochastic differ- ential equations,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.181831Z

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Observation f04482ca-728a-4dc3-ab8e-29d5921f55ee · outbound

This paper cites Denoising diffusion probabilistic models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Denoising diffusion probabilistic models,

Reference 4

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Observation dbf4522e-d7fb-49d6-b062-c9291aecb515 · outbound

This paper cites Denoising diffusion implicit models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Denoising diffusion implicit models,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.195187Z

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Observation 81e39c81-9d07-4afb-a6dc-e228f51db0e0 · outbound

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

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models High- resolution image synthesis with latent diffusion models,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.201104Z

Source-reported events for the cited work

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Observation e8da8004-0d3b-4e2c-8212-43abe7c6781c · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.206454Z

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Observation e90f2e26-6d66-493b-9595-24864ee13226 · outbound

This paper cites an unresolved cited work.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 62c39f36-a68e-4731-9a66-1f1186cf3ddf · outbound

This paper cites Robust Invisible Video Watermarking with Attention.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Robust Invisible Video Watermarking with Attention

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.216413Z

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Observation ee33aa4f-b492-4a05-ad7f-ae3c209f786d · outbound

This paper cites Hidden: Hiding data with deep networks,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Hidden: Hiding data with deep networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.221101Z

Source-reported events for the cited work

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Observation e86d16a2-150b-4d0c-9db2-844931170d80 · outbound

This paper cites Distortion ag- nostic deep watermarking,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Distortion ag- nostic deep watermarking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:20.049312Z

Source-reported events for the cited work

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Observation 3ed697c6-540d-4c78-9448-bbb817aab739 · outbound

This paper cites Udh: Universal deep hiding for steganography, watermarking, and light field messag- ing,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Udh: Universal deep hiding for steganography, watermarking, and light field messag- ing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:20.031333Z

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.

Observation 1b3b5226-072f-4064-8456-0a7f8496d330 · outbound

This paper cites Fixed neural network steganography: Train the images, not the network,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Fixed neural network steganography: Train the images, not the network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:20.011791Z

Source-reported events for the cited work

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Observation 13c4d0b6-40b9-4c10-aee6-75c4c33c5633 · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Stegastamp: Invisible hyperlinks in physical photographs,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.240044Z

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Observation 5862a189-5b55-4d51-af08-c83046fd7e9a · outbound

This paper cites An automated and robust image watermarking scheme based on deep neural networks,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models An automated and robust image watermarking scheme based on deep neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.982733Z

Source-reported events for the cited work

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Observation c314b836-bd26-4f55-aa8f-ddf7dc3d5930 · outbound

This paper cites Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg com- pression,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg com- pression,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.252763Z

Source-reported events for the cited work

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Observation b99aaf7d-cc8e-4adb-ad4c-bb001d065787 · outbound

This paper cites Towards blind watermarking: Combining invertible and non-invertible mecha- nisms,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Towards blind watermarking: Combining invertible and non-invertible mecha- nisms,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.953032Z

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.

Observation 63a4cc36-9a6c-4d6c-bf9e-9ef422723e14 · outbound

This paper cites Watermarking images in self-supervised latent spaces,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Watermarking images in self-supervised latent spaces,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.939938Z

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.

Observation d3a6dd61-56e6-402d-a95c-1e63cebbcb31 · outbound

This paper cites Pimog: An effective screen-shooting noise-layer simulation for deep-learning-based watermarking network,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Pimog: An effective screen-shooting noise-layer simulation for deep-learning-based watermarking network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.918978Z

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.

Observation fb1ec952-e2a5-434b-93fb-0632b0cb0ea7 · outbound

This paper cites Flow-based robust watermarking with invertible noise layer for black- box distortions,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Flow-based robust watermarking with invertible noise layer for black- box distortions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.902679Z

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.

Observation 60306127-518b-4337-a4ab-1a9d4808bdf8 · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models The stable signature: Rooting watermarks in latent diffusion models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.274402Z

Source-reported events for the cited work

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Observation d9e43a64-b574-4761-8922-030ef3c5b4f9 · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models A Recipe for Watermarking Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.279059Z

Source-reported events for the cited work

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Observation e3ffa384-a9c2-4db5-9fc6-cf52afbd0319 · outbound

This paper cites Watermarking Diffusion Model.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Watermarking Diffusion Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.285626Z

Source-reported events for the cited work

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Observation b33c421b-58f7-4f82-bd42-5fae4a0b47ab · outbound

This paper cites DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.290306Z

Source-reported events for the cited work

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Observation f0b30da3-2959-4037-a43b-e8e38f48624d · outbound

This paper cites Flexible and secure watermarking for latent diffusion model,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Flexible and secure watermarking for latent diffusion model,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.863832Z

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.

Observation 988a73bf-1a8b-4fc8-b984-89ee8bef5525 · outbound

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

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.300219Z

Source-reported events for the cited work

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Observation ecd77251-d1b9-4c15-80c9-77256514a61f · outbound

This paper cites Gaussian shading: Provable performance-lossless image watermarking for diffu- sion models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Gaussian shading: Provable performance-lossless image watermarking for diffu- sion models,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.306791Z

Source-reported events for the cited work

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Observation d3596da1-4a62-4ba2-ae9a-c111839a8d4b · outbound

This paper cites An undetectable watermark for generative image models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models An undetectable watermark for generative image models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.834355Z

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.

Observation 3faccb3e-04c0-40f8-8307-5ede69fa2d3f · outbound

This paper cites Pseudorandom error-correcting codes,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Pseudorandom error-correcting codes,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.817667Z

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.

Observation 8cc1ba75-0dc4-4b14-9c9b-70e758ddde94 · outbound

This paper cites On the difficulty of constructing a robust and publicly-detectable watermark,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models On the difficulty of constructing a robust and publicly-detectable watermark,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.801491Z

Source-reported events for the cited work

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Observation 04316d39-00ae-4f2a-90ac-d4dfe543d866 · outbound

This paper cites On exact inversion of dpm-solvers,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models On exact inversion of dpm-solvers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.782719Z

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.

Observation 1e841f60-0cdd-4434-85a8-bcd54b2acc18 · outbound

This paper cites Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.360764Z

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Observation 54cb8ace-6733-4551-8be2-81cdee050fcd · outbound

This paper cites 62: public key cryptography for the financial services industry: the elliptic curve digital signature algorithm (ecdsa),.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models 62: public key cryptography for the financial services industry: the elliptic curve digital signature algorithm (ecdsa),

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.747633Z

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.

Observation 79e75d3d-c12c-4feb-acc7-556c9e415c1f · outbound

This paper cites Variational image compression with a scale hyperprior.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Variational image compression with a scale hyperprior

Reference 35

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Observation d72f1e5a-00b4-44b3-8eaa-4c278886de49 · outbound

This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.383168Z

Source-reported events for the cited work

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Observation a1e0f0be-2098-49f8-8d1b-0a3e3db03e01 · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Taming transformers for high- resolution image synthesis,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.388110Z

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Observation ec3c9d17-588a-4360-ba6b-2f9023751214 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Diffusion models beat gans on image synthesis,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.392241Z

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Observation cdd2e26c-2bda-4cde-85d3-e37bf9e2a8b8 · outbound

This paper cites Improved denoising diffusion probabilis- tic models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Improved denoising diffusion probabilis- tic models,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.398226Z

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Observation 9cff77ec-63bb-41a0-8df0-fe9f1a2297f0 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.402719Z

Source-reported events for the cited work

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Observation d22467ec-1c17-44b6-9608-c5ef358869ee · outbound

This paper cites Vector quantized diffusion model for text-to-image synthesis,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Vector quantized diffusion model for text-to-image synthesis,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.406996Z

Source-reported events for the cited work

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Observation 27a0bf17-9cf7-4ee6-81a8-80d3bea38955 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Classifier-Free Diffusion Guidance

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.414578Z

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Observation c2a14d30-e6a1-4099-883c-7a95ede0db85 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.420996Z

Source-reported events for the cited work

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Observation 2aceef66-6f7a-4605-8a3d-002279dc00d6 · outbound

This paper cites Edict: Exact diffusion inversion via coupled transformations,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Edict: Exact diffusion inversion via coupled transformations,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.659007Z

Source-reported events for the cited work

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Observation 459067cc-c483-41f7-acf6-47f12aafb334 · outbound

This paper cites Exact diffusion inversion via bidirectional integration approximation,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Exact diffusion inversion via bidirectional integration approximation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.639652Z

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.

Observation 78b4d199-a398-41f5-8e09-41c3d37d615b · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.437067Z

Source-reported events for the cited work

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Observation 03a77a64-f9e1-4f9f-a177-75efe95eb777 · outbound

This paper cites Null- text inversion for editing real images using guided diffusion models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Null- text inversion for editing real images using guided diffusion models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.622286Z

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.

Observation eaa2d8f5-cd88-4615-894a-2c541991b964 · outbound

This paper cites Inversion-based style transfer with diffusion models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Inversion-based style transfer with diffusion models,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.448364Z

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Observation fc1f1b22-a459-48bc-81a2-e962af260632 · outbound

This paper cites Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.594094Z

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.

Observation f554f963-f318-4a32-9a77-38dd25a2db23 · outbound

This paper cites Self-discovering interpretable diffusion latent directions for responsible text-to-image generation,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Self-discovering interpretable diffusion latent directions for responsible text-to-image generation,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.457363Z

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Observation ec85ff66-3b54-4c73-9a96-e364ae2a35bd · outbound

This paper cites Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.559996Z

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.

Observation d7717e7f-ab07-4b64-9ded-160a14b7a4bd · outbound

This paper cites A digital watermark,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models A digital watermark,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.542813Z

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.

Observation 39f5dc90-7583-4531-997d-3d7a8dde6291 · outbound

This paper cites A robust digital image watermarking method using wavelet-based fusion,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models A robust digital image watermarking method using wavelet-based fusion,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.521790Z

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.

Observation 3894f3e9-bca0-417b-82f7-e295fde53ce4 · outbound

This paper cites Joint wavelet and spatial trans- formation for digital watermarking,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Joint wavelet and spatial trans- formation for digital watermarking,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.500978Z

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.

Observation 7912a2cc-1c93-4a44-8cf0-dee7bf12766c · outbound

This paper cites Digital image watermarking for joint ownership,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Digital image watermarking for joint ownership,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.482363Z

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.

Observation a9075311-6e6f-478d-b83c-917302f8f30f · outbound

This paper cites Reversible image watermarking based on integer-to-integer wavelet transform,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Reversible image watermarking based on integer-to-integer wavelet transform,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.460664Z

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.

Observation e3ffcd45-def2-450c-9c3d-a2ebe0267627 · outbound

This paper cites Combined dwt-dct digital image watermarking,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Combined dwt-dct digital image watermarking,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.436523Z

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.

Observation 5ecf3c84-2588-488c-bd12-d7291ce3bdac · outbound

This paper cites An application of multidimen- sional time-frequency analysis as a base for the unified watermarking approach,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models An application of multidimen- sional time-frequency analysis as a base for the unified watermarking approach,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.389634Z

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.

Observation bf3dc54c-ec48-489b-9e99-7ff2bd19962b · outbound

This paper cites Hybrid blind robust image watermarking technique based on dft-dct and arnold transform,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Hybrid blind robust image watermarking technique based on dft-dct and arnold transform,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.370172Z

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.

Observation b35c56e0-d449-4668-b7f0-b1c24f084eaa · outbound

This paper cites Gradient-based learning applied to document recognition,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Gradient-based learning applied to document recognition,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.501533Z

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Observation ca57aa78-6b0e-4988-ae8f-cbb038cda718 · outbound

This paper cites Attention is all you need,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Attention is all you need,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.506580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69cf0d5d-c1f8-41db-9c54-a8779ab7983c · outbound

This paper cites Artificial fingerprinting for generative models: Rooting deepfake attribution in training data,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Artificial fingerprinting for generative models: Rooting deepfake attribution in training data,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.311528Z

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.

Observation 2e60da1f-f4a1-4df2-87d6-8372d38e0ee7 · outbound

This paper cites Provably secure steganogra- phy,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Provably secure steganogra- phy,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.516779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b882de-9f58-46f9-87ea-fc1f84f72737 · outbound

This paper cites Distribution-preserving steganography based on text-to-speech genera- tive models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Distribution-preserving steganography based on text-to-speech genera- tive models,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.523759Z

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Unavailable: canonical work link unavailable.

Observation bdf9cc2d-625d-4fdc-9114-d2bd207d5ea5 · outbound

This paper cites Provable secure steganography: Theory, application and prospects,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Provable secure steganography: Theory, application and prospects,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.275104Z

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.

Observation 8e08401d-020e-4929-9704-44e14147bac1 · outbound

This paper cites Ryan and S.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Ryan and S

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.535618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5349cf16-ada1-4e2e-b083-f57f15be5358 · outbound

This paper cites Soft-decision decoding of linear block codes based on ordered statistics,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Soft-decision decoding of linear block codes based on ordered statistics,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.260948Z

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.

Observation 1f09a405-81a5-475c-9ff1-a4ef827f8b03 · outbound

This paper cites Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.547501Z

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Observation a759f45b-d4db-4fdc-9154-c76cba7ad8f2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Imagenet: A large-scale hierarchical image database,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.552111Z

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Observation 4f096e43-57ec-4290-a47e-01969b531974 · outbound

This paper cites Invisible image watermarks are prov- ably removable using generative ai,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Invisible image watermarks are prov- ably removable using generative ai,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.226846Z

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.

Observation 6f36eb24-96c4-4e95-94a3-a04d5673cecc · outbound

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

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.563953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df75ba11-aaf6-4a80-983b-0c2d1bef0d26 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Learning transferable visual models from natural language supervision,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.569047Z

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Observation 7e459b8c-559e-4da8-8063-3400a32cc60d · outbound

This paper cites Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.574661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5444f06-5fd4-4628-83cc-5296ae7916b3 · outbound

This paper cites WAVES: Benchmarking the Robustness of Image Watermarks.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models WAVES: Benchmarking the Robustness of Image Watermarks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.580247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8714035d-0d64-4887-8e40-07b529d9d7e9 · outbound

This paper cites Microsoft coco: Common objects in context,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Microsoft coco: Common objects in context,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.586884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3243ea5-8607-457e-9dc2-e35d893cd3b0 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Reproducible scaling laws for contrastive language-image learning,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.592033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6141b78e-7794-4f84-b65b-2939ca85b345 · outbound

This paper cites On the estimation of the discrepancy between empirical curves of distribution for two independent samples,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models On the estimation of the discrepancy between empirical curves of distribution for two independent samples,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.130192Z

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.

Observation caefef1d-b243-4cdf-88bf-97098ac5b0c9 · outbound

This paper cites An analysis of variance test for normality (complete samples),.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models An analysis of variance test for normality (complete samples),

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.603541Z

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Observation ff7a1650-8328-41dc-a55c-cf89a443e8e1 · outbound

This paper cites On the distribution of the two-sample cramer-von mises criterion,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models On the distribution of the two-sample cramer-von mises criterion,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.102864Z

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.

Observation 5316b02e-a280-4672-a36b-71a5ca4a67f9 · outbound

This paper cites A test for normality of observations and regression residuals,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models A test for normality of observations and regression residuals,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.087682Z

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.

Observation c9ba09a5-4cde-47c1-9844-c52aebd98521 · outbound

This paper cites A suggestion for using powerful and informative tests of normality,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models A suggestion for using powerful and informative tests of normality,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.063958Z

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.

Observation ce0e1e73-4b82-483a-84dc-a5d6ad6bd637 · outbound

This paper cites On a class of error correcting binary group codes,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models On a class of error correcting binary group codes,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.623552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a82d005b-1ac2-45ad-88ca-6baf70903084 · outbound

This paper cites Ideal Pseudorandom Codes.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Ideal Pseudorandom Codes

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:42:18.689207Z

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.

Observation 4151b539-9d67-458e-887b-4cd7ff9995e9 · outbound

This paper cites Gradient- free decoder inversion in latent diffusion models,.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models Gradient- free decoder inversion in latent diffusion models,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:19.027194Z

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.

Observation 556cc687-9141-4f0e-9530-bd36d60fbb2b · outbound

This paper cites On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark.

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:18.341300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fe07e259-532e-4a4c-806e-4aa9c48482be · inbound

Improved Pseudorandom Codes from Permuted Puzzles cites this paper.

Improved Pseudorandom Codes from Permuted Puzzles Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T17:40:51.152382Z

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Observation 39708c59-c932-43ca-ace2-cb36e1840a4f · inbound

Towards Robust Content Watermarking Against Removal and Forgery Attacks cites this paper.

Towards Robust Content Watermarking Against Removal and Forgery Attacks Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:01.030623Z

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.

Observation d71c0581-d79e-4a57-856b-d2ab29099057 · inbound

DNA: Dual-stage Native Attribution for Generated Image Source Tracing cites this paper.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T04:32:43.680645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0585dfe-19f2-4e9f-b82f-9fd416a4557b · inbound

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models cites this paper.

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T22:58:40.888525Z

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