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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
  • metadata mismatch0

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

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Unavailable: canonical work link unavailable.

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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

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

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Unavailable: canonical work link unavailable.

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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

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

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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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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 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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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 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.360764Z digest=sha256:3cd9d96c90eaaad2d77c62542bf165df8ddb0918428242e8ae071101858c4261

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

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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 2026-08-18T06:34:40.430872+00:00.

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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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no resolver link, observed 2026-08-16T11:42:18.378440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.378440Z digest=sha256:62a7b2ba8ff6948d4d87e524ac0f455d6ad2edec8a12868311d2d568cbc7324a

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.383168Z digest=sha256:ff94606da37de3c10877be45131cc58b330094ce7c139269627c2d84f05f160a

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.388110Z digest=sha256:a6c58b6774ef650fafd0a2aa19553f4ad73972a13ed0e028611659ba2ac5ca78

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.392241Z digest=sha256:f6539259a4e0656d0ccdf0d1b37d2c9d4f7d581f48173fdcf2abc3d1943487ef

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.398226Z digest=sha256:137b4bfc9b5e3720e0eb5932ed2d5c6df439daff9beee84121b164212190d62a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.402719Z digest=sha256:7e69379a5d0135d76f3449fd1809d174f0c10b864c3669b1335f9e7fb373b80d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.406996Z digest=sha256:100e6b95f868cd974d323dd2e7728624833e6eee075caa1b511a97fad11593aa

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.414578Z digest=sha256:84f8b1f6d684cbb08b2ebb312687d1d0d3dfecffb85e113fc7f5dfb4223f98c2

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.420996Z digest=sha256:86e30a1247c92e69e6b0f7db01d3f1f536240813b29eda82e1852fb537a7ecda

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.428007Z digest=sha256:94e5055f47f877e5fbf9628dd71ec04e4425fe0ee72796428644c71531db92aa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.432795Z digest=sha256:a666a47f7bafe427a91cd975bcfd55179069d92360d378bf6845b2a82767433d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.437067Z digest=sha256:b65eff6e662cac95e69d9d34ebad4495c54978d39566932b9a0099a59fd5a2ca

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.441777Z digest=sha256:1877bd7236569b3eaba80ad748da157d764c666ce3fa5ec2c8afb7cf66a45c08

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.448364Z digest=sha256:030891789f1b0451741c8328b57850a1d091aca66f9b3960f2e5d672709bb2a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.452613Z digest=sha256:ea8812c8ae62ed8c5d4b802fb1f8de5096ee8f22c386088fc4cc85e14cbef943

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.457363Z digest=sha256:e06f79382972b511d3881a36473e3ada5807bfbcf6b65802f6f47590c99a6212

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.462328Z digest=sha256:2f9a2ca6df1dfad96e138084f88aafa2c340d9923e918eb41aa4903d5e65c613

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.466623Z digest=sha256:787c0aa7ca235f005d594c536df43cf9d4b1dae6514065bf3656e13c66827cc9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.471393Z digest=sha256:f21a4b3372c20dae51d29aea66a600bef48293b85f5936ab1a04b3826231b874

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.476083Z digest=sha256:881871db4fd9e9db6d336c258d9a3189b4cc6742c58a935ced6fe916290e713f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.480420Z digest=sha256:b83a07a159bfef2ba1eb0879d8733fabea0393050a29578d0cb119fe7832c48a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.485164Z digest=sha256:d6cdbce44b1a52a2eddcbb56176d84b6a60ff7209f4df4a5678309dd267a51a2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.488348Z digest=sha256:517958a68338a1083240455f76db1040a327fb210127cac6bacaed6ae78b72f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.492376Z digest=sha256:05bc9a798370b10eb14e94949b4b131e39ab29aa9234cc71474ab2a3130302ec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.497322Z digest=sha256:e747ec4db5845bb3c5209e789e0ecf828e9d554e7d918570a8dbbb94bb722ba9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.501533Z digest=sha256:ab71f3dbb31ebc6be47c75c28dc02fb535a5b4c060b096e248a7039d5d45ca36

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.506580Z digest=sha256:32aaa6e0d9d02e398b213ae39cc86d47b1443f8dec763da8878c98f1cf4eed8c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.510736Z digest=sha256:2fdf8c0313f6eb6c2ffe7c7833c49b57693cb639b288339ff0c1f038ff325544

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.

source=pdf_text observed=2026-08-16T11:42:18.516779Z digest=sha256:0c9c6aab821b5062484888562069e14c63924ead966728cf8cb023020fd0c167

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.523759Z digest=sha256:b37c43b71833aab2b4a561f8bb6bc9dc200819a31b4d41d380d13a666a73ddf8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.528859Z digest=sha256:f928fa32d549b5ffd6b67c17b6cafaea165751cd9ea3aa15965b7d223eaa2b14

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.535618Z digest=sha256:5af4e9d10f8772105443554cec9affce3f615274c0f9fec5343338bb6128b297

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.542693Z digest=sha256:535202508c9f2ffb2ca212cdbe733700f25236a48f61109b885a48f71b945cfc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.547501Z digest=sha256:8737db36108fdb2f76fd4fd476fc993a200ff71e3d62cf1eba5372182a056916

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.552111Z digest=sha256:6fc86a50bedf2cb128bab0ce86a5004597345645f542f06b79d3bd6169b7c930

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.557366Z digest=sha256:ec19f53ba887985045d84418c707335427d9d69b3371a47dbaeceb1589f6a2c7

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

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source=pdf_text observed=2026-08-16T11:42:18.563953Z digest=sha256:088811b4cd6f2d67e25044828cfea87c42d45ce3d18836b2d9f9e8da3889f14d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.569047Z digest=sha256:bc3feb0f526153416421533e4fe77ce6027c6e28c0f1f2754d9cc71485a92d10

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T11:42:18.574661Z digest=sha256:d619f4c5e04b7fce608b259c6c33887de9f10fef2fd00a822c5b477c0b7b577c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.580247Z digest=sha256:fe9464f566f55250ecabaaef8388f31a08b2db5e690426f90df6e9f2cbd2af33

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.586884Z digest=sha256:709e92bdd8683dd5c6810c546b2879e8d8b1df89a0aa6ae3e017789c9a906304

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.592033Z digest=sha256:4c8788e13678a01e6ec1396cceb3a153373efae054a04b053a564ec9c41d5780

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.597247Z digest=sha256:9fbca61cbe7d1f7c3ca09f48c60f16e3bef40929217141ddcdf63dd90e71ef1b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.603541Z digest=sha256:b77a46149efdda7a1df2505281b5b80716cf6e3e1fd26af186eb6730ee946763

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.608732Z digest=sha256:7035f85b4aee888283d05c13d929d76cf53d87b9ad0325866f444a5eecf2b797

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.613011Z digest=sha256:d7b9d6183d4dcf094a71bfaab089a85d7bab4bf557782d8f11e34c46866ee04e

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.617706Z digest=sha256:e989e54e6cc25bc1b8c29d88a6b5b92e90d787d1f8421ef6f457a791255085f7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.623552Z digest=sha256:10d5932df9b7849fda0321b28d218472079ea93b4fa07bf2662d99c29d036b01

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.628818Z digest=sha256:5c6fd467ab416b106901fd49848d7600537e4e47a8294d7d43068c2fb7dc9e7f

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:42:18.633349Z digest=sha256:b4ec17d37d81dbdb3572a65e30dbedd5df0ce4c1bd76f383a7dd6fac7c430779

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:18.341300Z digest=sha256:2c2bcafea206fe1728ef1511bd8c25de340fae5efbc12f9713d86ca02d6fc4de

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:40:51.152382Z digest=sha256:84dc0a0c22443f632a841540d2e16f1b9f62db2e6c0bc219940597135fc54a57

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:08:01.503806Z digest=sha256:9cac70175b91df14012658733996dda025c61bb42de13d2cd627c5592362254c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:32:43.680645Z digest=sha256:de1a99669a85fb999db72f3ab678679626a0f1f6b71aca3d8bd5fb229a711be7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:58:40.888525Z digest=sha256:5634600e730b96568102c1c2a8d058c02470f520092c179a49b522775763621e