Paper Citation Record · LEDGER

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 6 inbound Pith citation observations for arXiv:2504.20111.

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

pith.paper-citation-record.v1
2504.20111 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:23.212839Z

measured 54 of 54 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:13:45.098365Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:15:14.771394Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy29
unresolved19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67936335-5734-4d65-8774-82dd417566ed · outbound

This paper cites Waves: Bench- marking the robustness of image watermarks.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Waves: Bench- marking the robustness of image watermarks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.396774Z

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

Observation fa1b0f90-97d9-4147-b01c-26ce4b84f9c0 · outbound

This paper cites Hidden in the Noise: Two-Stage Robust Watermarking for Images.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Hidden in the Noise: Two-Stage Robust Watermarking for Images

Reference 2

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Observation e2b9ce1b-f000-4ead-9323-10aa93f1da9c · outbound

This paper cites Adversarially robust represen- tations with smooth encoders.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Adversarially robust represen- tations with smooth encoders

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.388452Z

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Observation 8db066c2-9a22-466c-bd4d-0cc4dc2b2597 · outbound

This paper cites WMAdapter: Adding WaterMark Control to Latent Diffusion Models.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image WMAdapter: Adding WaterMark Control to Latent Diffusion Models

Reference 4

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Observation 0bb7073a-17a4-4547-99e8-927afb81f22e · outbound

This paper cites Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.379069Z

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.

Observation d5a15888-bbc6-4da5-814a-dd0ff65da112 · outbound

This paper cites On the use of automatically generated synthetic image datasets for benchmarking face recognition.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image On the use of automatically generated synthetic image datasets for benchmarking face recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.369770Z

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.

Observation 215212fb-8ad7-4f1a-be54-7bda00642b14 · outbound

This paper cites Digital watermarking and steganography.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Digital watermarking and steganography

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.224554Z

Source-reported events for the cited work

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Observation e5d80ed3-6e15-476d-bbed-8dd17a7e32e6 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Diffusion models beat gans on image synthesis

Reference 8

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Observation 936eeab1-0145-4c02-b6b8-ebca0aa635e0 · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Watermarking images in self-supervised latent spaces

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.183004Z

Source-reported events for the cited work

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Observation a6c0040c-3cbf-40ec-a0d4-cc3a5de428fc · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image The stable signature: Rooting watermarks in latent diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.174470Z

Source-reported events for the cited work

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Observation 85acf41b-c020-4229-8f6b-86f53a8aa9a1 · outbound

This paper cites An Undetectable Watermark for Generative Image Models.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image An Undetectable Watermark for Generative Image Models

Reference 11

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Source-reported events for the cited work

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Observation 778af2e9-a540-439f-acf5-11d570deb9c7 · outbound

This paper cites Multimedia watermark- ing techniques.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Multimedia watermark- ing techniques

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.144148Z

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.

Observation 0879e915-659b-4730-97db-54c4e5dbbeac · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.087006Z

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.

Observation 6e6894e1-000e-4a6e-a5d2-99f616b2bcc5 · outbound

This paper cites A Transfer Attack to Image Watermarks.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image A Transfer Attack to Image Watermarks

Reference 14

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Source-reported events for the cited work

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Observation 13ee8328-cf02-4fff-a176-477797d8b7d2 · outbound

This paper cites Exploring frequency adversar- ial attacks for face forgery detection.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Exploring frequency adversar- ial attacks for face forgery detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.076962Z

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.

Observation 954651bf-7efa-4d2e-b8ac-0f163f5533f0 · outbound

This paper cites Image forgery techniques: a review.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Image forgery techniques: a review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:24.045337Z

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.

Observation ce89ded6-b927-4fb9-8e08-34d7038668ac · outbound

This paper cites Adversarial Machine Learning at Scale.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Adversarial Machine Learning at Scale

Reference 17

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Source-reported events for the cited work

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Observation 348f2d66-9bf2-488d-9cd7-e29401d9768e · outbound

This paper cites Ad- versarial examples in the physical world.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Ad- versarial examples in the physical world

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.994820Z

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.

Observation b832e45a-bf12-496f-b34e-2c313a9c07eb · outbound

This paper cites Microsoft coco: Common objects in context.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Microsoft coco: Common objects in context

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.971317Z

Source-reported events for the cited work

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Observation 16885a95-a109-49ca-aab7-b0bd7c49a718 · outbound

This paper cites Image Watermarks are Removable Using Controllable Regeneration from Clean Noise.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Image Watermarks are Removable Using Controllable Regeneration from Clean Noise

Reference 20

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Observation aa4b72d8-7291-49e9-bb34-4abfc74befbe · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Leveraging Optimization for Adaptive Attacks on Image Watermarks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.547782Z

Source-reported events for the cited work

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Observation ac12b5d7-abc4-4738-8c25-baa8f9c3cef7 · outbound

This paper cites Frequency-driven imperceptible adversarial attack on semantic similarity.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Frequency-driven imperceptible adversarial attack on semantic similarity

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.962289Z

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.

Observation 1a75b364-6e67-4077-9aa2-a6096822c2f9 · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Null-text inversion for editing real im- ages using guided diffusion models

Reference 23

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Source-reported events for the cited work

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Observation f2dbc90f-b753-401c-a933-bfebb1fbba9c · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.621647Z

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Observation 89fd9af8-5b8f-434a-a06c-0d5699f6c2a4 · outbound

This paper cites Digital watermark- ing: algorithms and applications.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Digital watermark- ing: algorithms and applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.948922Z

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.

Observation c50b9620-c36a-48ef-83a5-cc1df6a720a7 · outbound

This paper cites A survey of digital image watermarking techniques.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image A survey of digital image watermarking techniques

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.858295Z

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.

Observation 1ec4efb4-1bcf-41d8-9db2-024b30a68786 · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image High-resolution image synthesis with latent diffusion models

Reference 27

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Source-reported events for the cited work

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Observation 5513e557-78e5-4616-b495-de25da8962bb · outbound

This paper cites Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.722600Z

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Observation 303274f0-fcab-4ad5-95fa-d2cd86cfbfa0 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Photorealistic text-to-image diffusion models with deep language understanding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.726892Z

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Observation 6e45bdb9-3c9d-4a09-b7e2-251ae8a6999f · outbound

This paper cites Communication in the presence of noise.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Communication in the presence of noise

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.776312Z

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.

Observation e49c005f-9e0d-4321-b283-800ac6fd3f90 · outbound

This paper cites Denoising Diffusion Implicit Models.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Denoising Diffusion Implicit Models

Reference 31

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Observation c6377afe-a684-468b-9082-6a50a649e11a · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Stegastamp: Invisible hyperlinks in physical photographs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.862750Z

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Observation 725f2aa7-a07d-414e-ac00-e56ab1ce8fa5 · outbound

This paper cites Watermark faker: towards forgery of digital image water- marking.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Watermark faker: towards forgery of digital image water- marking

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.765120Z

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.

Observation 5969ca2a-eb67-43cf-acf1-0557c314b805 · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Image quality assessment: from error visibility to structural similarity

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.757398Z

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.

Observation e1de5b1f-6a7b-44af-8bfd-560f974b9c0c · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:22.936261Z

Source-reported events for the cited work

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Observation e36212c2-53f4-4048-b73a-9adfc85c27ec · outbound

This paper cites Secret and public key image watermarking schemes for image authentication and ownership verification.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Secret and public key image watermarking schemes for image authentication and ownership verification

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.722158Z

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.

Observation 9fdd21e4-2276-430e-a79d-3252761370ef · outbound

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

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Flexible and secure watermarking for latent diffusion model

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.674929Z

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.

Observation efbf4054-d23c-4543-8a3a-5318fae6a139 · outbound

This paper cites Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?

Reference 38

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Source-reported events for the cited work

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Observation 5533f29b-aedd-42a2-b95a-7c307fc131e1 · outbound

This paper cites Gaussian shading: Prov- able performance-lossless image watermarking for diffusion models.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Gaussian shading: Prov- able performance-lossless image watermarking for diffusion models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.667224Z

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.

Observation 7a34009a-2556-4855-af07-45e94b7bce92 · outbound

This paper cites Robust Invisible Video Watermarking with Attention.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Robust Invisible Video Watermarking with Attention

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:23.157901Z

Source-reported events for the cited work

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Observation ac8756ba-adf8-42a1-a478-9bd1bb888dbc · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image The unreasonable effectiveness of deep features as a perceptual metric

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.659517Z

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.

Observation 209e1dd2-631d-4444-8e89-e0c79fc747c8 · outbound

This paper cites Invisible image watermarks are provably removable using generative ai.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Invisible image watermarks are provably removable using generative ai

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.648431Z

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.

Observation d5faa0e3-cc16-4b4e-a2ae-7db6cc023e50 · outbound

This paper cites an unresolved cited work.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:58:23.581715Z

Source-reported events for the cited work

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Observation bbc6a241-f8a9-426d-aecb-335393942a69 · outbound

This paper cites We have set hy- perparametersϵ in Eq.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image We have set hy- perparametersϵ in Eq

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.509448Z

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.

Observation 4997457c-1a0c-4150-bf6d-d19cb5c1c27a · outbound

This paper cites In this section, we show that this works better in practice as compared to using a fixed pixel value of 127.5.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image In this section, we show that this works better in practice as compared to using a fixed pixel value of 127.5

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.500636Z

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.

Observation 220988fb-1e7a-463c-ba56-2dfd007e1e2d · outbound

This paper cites The optimization objective remains the same as Equation 7, i.e., min δ ∥Eϕ(x(w) +δ)−Eϕ(x(c))∥2 +λ∥δ∥2, (7) where x(c) is a randomly selected real image.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image The optimization objective remains the same as Equation 7, i.e., min δ ∥Eϕ(x(w) +δ)−Eϕ(x(c))∥2 +λ∥δ∥2, (7) where x(c) is a randomly selected real image

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.491448Z

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.

Observation c8509b4f-35c3-4318-99fd-56e7800271a1 · outbound

This paper cites Prompt Datasets We utilize two datasets namely, the Gustavosta/Stable- Diffusion-Prompts1 dataset and the runwayml-stable- diffusion-v1-5-eval-random-prompts2 dataset.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image Prompt Datasets We utilize two datasets namely, the Gustavosta/Stable- Diffusion-Prompts1 dataset and the runwayml-stable- diffusion-v1-5-eval-random-prompts2 dataset

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.449235Z

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.

Observation 0e269bc8-0232-4fe0-a25d-b639cafd4940 · outbound

This paper cites We show examples of forgery attacks on Tree-Ring in Figure 11, RingID in Figure 12, WIND in Figure 13, and Gaussian Shading in Figure 14.

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image We show examples of forgery attacks on Tree-Ring in Figure 11, RingID in Figure 12, WIND in Figure 13, and Gaussian Shading in Figure 14

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:58:23.410274Z

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.

Pith citing papers

Observation 3cf3f879-e088-4b3d-af5d-108fd74f864d · inbound

SEAL: Semantic Aware Image Watermarking cites this paper.

SEAL: Semantic Aware Image Watermarking Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:15:14.773974Z

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.

Observation 94593848-2fe8-431c-a2f5-b8b0271d7ce7 · inbound

Mitigating Watermark Forgery in Generative Models via Randomized Key Selection cites this paper.

Mitigating Watermark Forgery in Generative Models via Randomized Key Selection Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:27:05.485886Z

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.

Observation 37ef5f00-69df-4b38-a540-728fae0bfd14 · inbound

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

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:40:54.417216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f31456-46f2-44a7-8bf7-d63cb0c80428 · inbound

On the Robustness of Watermarking for Autoregressive Image Generation cites this paper.

On the Robustness of Watermarking for Autoregressive Image Generation Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:06:00.829930Z

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.

Observation d5f82d17-f3de-4db7-8c02-9621d52adf0d · inbound

PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection cites this paper.

PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:28.282831Z

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.

Observation b5a91b77-c9b4-40e3-b779-f45519ef08e9 · inbound

IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion Images cites this paper.

IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion Images Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T17:13:45.098365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.