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Paper Citation Record · LEDGER

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2505.08197.

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

pith.paper-citation-record.v1
2505.08197 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:05:01.690504Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:40:54.348280Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:40:55.342315Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb2eeb79-7828-47bb-9463-dbdaa80d969a · outbound

This paper cites Waves: Benchmarking the ro- bustness of image watermarks.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Waves: Benchmarking the ro- bustness of image watermarks

Reference 1

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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 2026-08-20T06:33:59.587034+00:00.

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Observation fb8d5523-fedb-4479-b1f7-c2ae6ece2f24 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.438663Z digest=sha256:5ae74f45735fe843fc3d82dce4169dff80989b6c4c4f2ca192d34dbf4fc462ae

Observation 6666eacd-31d3-47e8-bf96-3e810c6428e4 · outbound

This paper cites Secure spread spectrum wa- termarking for multimedia.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Secure spread spectrum wa- termarking for multimedia

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.745781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e2075034-845f-4395-a063-6fcfacf5dd74 · outbound

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

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges The stable signature: Rooting watermarks in latent diffusion models

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.702351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.462515Z digest=sha256:225fa5c0c4257cc61d47d1d94aff90d1a05988686f107e1b01f25503288c992f

Observation 159a03d3-7c6d-4b74-9da1-d99f9f6bc519 · outbound

This paper cites Robin: Robust and invisible watermarks for diffusion models with adversarial optimization.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Robin: Robust and invisible watermarks for diffusion models with adversarial optimization

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.647100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fcef35ac-cdf6-45aa-9067-668f086c03d5 · outbound

This paper cites Watermarking Visual Concepts for Diffusion Models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Watermarking Visual Concepts for Diffusion Models

Reference 12

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no resolver link, observed 2026-08-15T22:05:01.489059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.489059Z digest=sha256:5d7880b1c53750ae13d0556c264c93115ac9fd4078aa09e03b552e76e26570c4

Observation 6cfedaaf-e48a-4259-a42d-3bfd7cd0e92b · outbound

This paper cites Diffusion models for non-autoregressive text generation: A survey.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Diffusion models for non-autoregressive text generation: A survey

Reference 13

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raw_fallback, observed 2026-08-15T22:05:02.607711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.494744Z digest=sha256:dc592084925b0767327ea063428cae3888e00d4050b6079b3316267378787450

Observation 313f3a27-657b-419e-8d2c-c5b5b17ecbe3 · outbound

This paper cites Shallow diffuse: Robust and invisible watermarking through low-dimensional subspaces in diffusion models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Shallow diffuse: Robust and invisible watermarking through low-dimensional subspaces in diffusion models

Reference 14

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no resolver link, observed 2026-08-15T22:05:01.499904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.499904Z digest=sha256:b3bc7a21e4db9292a81c0214185181597e118cc3c20ad5a7956b647d41844731

Observation 1bb8df11-209b-49ce-b7b2-1db2259294c2 · outbound

This paper cites Mist: Towards Improved Adversarial Examples for Diffusion Models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 15

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no resolver link, observed 2026-08-15T22:05:01.505393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.505393Z digest=sha256:6259650eb7f086ec185187207a3e5abc3597c19a5e64d3b6f8e83bddb8955c31

Observation 6fdbd985-e854-454f-8646-652e41ae0c09 · outbound

This paper cites Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.588270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.511246Z digest=sha256:6edac2aa8a30d26b0f8e5dc32716e1873ebdd3799fe38bfa80559fa00fc71fa0

Observation 9347dde2-c957-48a2-8a92-302e5b713212 · outbound

This paper cites Watermarking Diffusion Model.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Watermarking Diffusion Model

Reference 17

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no resolver link, observed 2026-08-15T22:05:01.516733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.516733Z digest=sha256:9f85575987c8b7b294e09dc9052de819df7a628e2932a1bc5a646356f125f5b3

Observation b1392a19-ff6d-4ac7-96ba-268e09f93ddc · outbound

This paper cites Metacloak: Preventing unauthorized subject-driven text-to-image diffusion-based synthesis via meta-learning.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Metacloak: Preventing unauthorized subject-driven text-to-image diffusion-based synthesis via meta-learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.566694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.522458Z digest=sha256:c18b77a8b3b629e7bdd8e5f1aa9ea5c225099aa3ead7af5f3a164cd2b88a0efa

Observation ac5cd19c-5752-4c07-804c-a51053d8b4c2 · outbound

This paper cites Distortion ag- nostic deep watermarking.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Distortion ag- nostic deep watermarking

Reference 19

Resolution
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raw_fallback, observed 2026-08-15T22:05:02.546807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.527748Z digest=sha256:63a356224065059d1deed8ec9a8a90a8b2cbc8d4d75ce33f31d3f0b0b134310d

Observation 75ef5252-ce6a-42e4-af97-4c21d8930b00 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Towards deep learning models resistant to adversarial attacks

Reference 20

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no resolver link, observed 2026-08-15T22:05:01.533458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.533458Z digest=sha256:394918b1e53d1075d151a92a20e90c8f03b254babeb887bb332c82b0292dcd62

Observation cc142ece-767c-4482-a0a7-9dccfa030b88 · outbound

This paper cites Intellectual property protection of diffusion models via the watermark diffusion process.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Intellectual property protection of diffusion models via the watermark diffusion process

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.491155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.546893Z digest=sha256:174244478b014ec503af4a951344af7b4a6602daa18c850c5cc8fd31af0b951b

Observation adc1d202-10ef-4f44-9df2-c201c50a9910 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion mod- els for subject-driven generation.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Dreambooth: Fine tuning text-to-image diffusion mod- els for subject-driven generation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.438885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.565047Z digest=sha256:8c2d647e400bb6126c7732efd9aa63a7b62769044621523d14dca65cc705fe55

Observation 40f8c73d-97cc-44c6-a579-5d65d3b44d3c · outbound

This paper cites Raising the Cost of Malicious AI-Powered Image Editing.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Raising the Cost of Malicious AI-Powered Image Editing

Reference 26

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no resolver link, observed 2026-08-15T22:05:01.571602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.571602Z digest=sha256:d1eaa022a5e740df8751a9a7ef0a76a50f1f05c67f882510ee14b34e7229f781

Observation e9a9fb10-dfd4-4a1c-a392-027122e8ee8f · outbound

This paper cites Glaze: Protecting artists from style mimicry by {Text-to- Image} models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Glaze: Protecting artists from style mimicry by {Text-to- Image} models

Reference 27

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raw_fallback, observed 2026-08-15T22:05:02.422326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.577864Z digest=sha256:9565cf636901898d46986f88372c8b141633e6cb73838d3fc0f57cf93ba21b73

Observation 0d1c521f-605a-4d29-bfbb-dc3b7eb9903f · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermody- namics.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Deep unsupervised learning using nonequilibrium thermody- namics

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.402342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.584660Z digest=sha256:2b341b43630de564c346b46fe98688b162cbca970d5bb0b7a1239f4324ebd2e6

Observation 25c928c7-0dad-4b4f-b21d-0b97a1366e72 · outbound

This paper cites Deceiving image-to-image translation networks for autonomous driving with adversarial perturbations.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Deceiving image-to-image translation networks for autonomous driving with adversarial perturbations

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.362791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.600886Z digest=sha256:8c5014a04ccd4efdff39558d26030ae50833a62e0d61420b9b3560bf1638c73f

Observation 09f84196-7db5-4398-96ce-8d3e7b773fff · outbound

This paper cites Simac: A simple anti- customization method for protecting face privacy against text-to-image synthesis of diffusion models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Simac: A simple anti- customization method for protecting face privacy against text-to-image synthesis of diffusion models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.343362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.608496Z digest=sha256:ea5d90ccfcacdfffa1fc6cc533e97ddefc5b9fe77c2b11bd87c3f1df4a30ae61

Observation 3aa9f347-8759-49db-ae57-a42f3d385a9a · outbound

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

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 32

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no resolver link, observed 2026-08-15T22:05:01.614659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a4a745a-4555-466d-9004-4ba41cfe958a · outbound

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

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Flexible and secure watermarking for latent diffusion model

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.323404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.620257Z digest=sha256:f2e5d8d17c54381815711fff2a690b70d2c14004dc8e84555d9c5742d2784961

Observation 8b2d0e29-262e-4822-813d-497c6e44fe1a · outbound

This paper cites Toward effective protection against diffusion-based mimicry through score distillation.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Toward effective protection against diffusion-based mimicry through score distillation

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.626346Z digest=sha256:60027b9f5e68995afbb1a1de0c52e511207685a0991d8f8c653d23b505555b6a

Observation 65ff20ef-b264-4e8d-86a2-90790976d023 · outbound

This paper cites Gaus- sian shading: Provable performance-lossless image wa- termarking for diffusion models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Gaus- sian shading: Provable performance-lossless image wa- termarking for diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.279022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.631556Z digest=sha256:2d634c664dedb067587ab73b738d7b4b164d332b0903986a8b9f92df89995dee

Observation 85515b1f-5e65-4500-927b-c70a96326a84 · outbound

This paper cites Duaw: Data-free universal adversarial wa- termark against stable diffusion customization.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Duaw: Data-free universal adversarial wa- termark against stable diffusion customization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.257606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.636674Z digest=sha256:6076a74fb72d29d184e2d4a2322dc8775fff2d209561f3a72b2024f91bf69c55

Observation bac11f58-c140-4356-8df6-5b7527790386 · outbound

This paper cites Diffforensics: Leveraging diffusion prior to image forgery detection and localization.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Diffforensics: Leveraging diffusion prior to image forgery detection and localization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.224399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.642312Z digest=sha256:f55c31e756e87b2d243f1d4416ece28acd2b7cd336041f1d430f981f41fecd2d

Observation 55d474ed-244f-4115-87db-0e8ab5791285 · outbound

This paper cites Robust Invisible Video Watermarking with Attention.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Robust Invisible Video Watermarking with Attention

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.648750Z digest=sha256:106fb2ef599705f6b29e6bb44df3514455db09b6f5c165f19f18d060b4f5f84f

Observation f2d6a163-6737-4793-a379-43e968ab8082 · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges A Recipe for Watermarking Diffusion Models

Reference 40

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no resolver link, observed 2026-08-15T22:05:01.661543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.661543Z digest=sha256:fe4319bdbd1e608da0d5ec2dbb5c46d505ae17bb55b100a289d8a3c195e8f20d

Observation 155a81cd-511c-49f1-b5bd-9eee723f3498 · outbound

This paper cites Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation

Reference 41

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no resolver link, observed 2026-08-15T22:05:01.669579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.669579Z digest=sha256:a5b558e2b4cec4708d4341eb0226bb6c791f2272fdf9c751645180b325167590

Observation 20fdebbb-3450-4980-b952-a560969cb956 · outbound

This paper cites SoK: Watermarking for AI-Generated Content.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges SoK: Watermarking for AI-Generated Content

Reference 42

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no resolver link, observed 2026-08-15T22:05:01.678134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.678134Z digest=sha256:d6f591d74ac9df8d0efcfd45243c4f5e62669c70559596062084f12f7bee7531

Observation 5e8dd6c8-50e2-4fa6-80e6-52fcc6fa1703 · outbound

This paper cites Watermark-embedded adversarial ex- amples for copyright protection against diffusion models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Watermark-embedded adversarial ex- amples for copyright protection against diffusion models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.182770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.685107Z digest=sha256:9f8fe753444e8e5f3ff664a5ccdf981a2a9d4f475c0d5094569cd8bbebdd9e54

Observation f1a08dd5-a335-46f6-bd70-7fd2b4c27175 · outbound

This paper cites HiDDeN: Hiding Data With Deep Networks.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges HiDDeN: Hiding Data With Deep Networks

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:05:01.690504Z digest=sha256:f459d75534ae6c866017cbda99a2743e2705eec21a0b7627f1e9930d49f24331

Observation 3e99db55-f7dd-4c86-ab8e-38e2a7cb3b02 · outbound

This paper cites Scalable watermarking for identifying large language model outputs.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Scalable watermarking for identifying large language model outputs

Reference 1997

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.726236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.456270Z digest=sha256:fbad9e175dbbe19113d6d2190008b7394d425a409abed6ee5859fc225f0a8f70

Observation f87c4007-d7c5-4192-af34-5d55750ef3bb · outbound

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

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges High-resolution image synthesis with latent diffusion models

Reference 1999

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.458039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.559805Z digest=sha256:3c80f53f97ea4c940bd3fb5943c38ef64ac3f355b1fc2131ad1b1036fff9e035

Observation ae250a5e-56ee-46b3-9ff8-9cf99fe68825 · outbound

This paper cites Anti-dreambooth: Protecting users from personalized text-to-image synthesis.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Anti-dreambooth: Protecting users from personalized text-to-image synthesis

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.382126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.594607Z digest=sha256:48f61d77ea80f11eb367348b11817f80973bfdae06a61b8b1006d686c6d870d5

Observation 48fea4f3-2fae-454d-8519-88c84e0a72bc · outbound

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

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Ringid: Rethinking tree-ring water- marking for enhanced multi-key identification

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.764219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.443947Z digest=sha256:b7806eecde92b577fa916059b96beb195c834eaed130fc541ca23301531b6cf3

Observation 7141872e-69b1-4489-bade-2fdbb19045a0 · outbound

This paper cites Diffusion models for adversarial purification.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Diffusion models for adversarial purification

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.510526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.540414Z digest=sha256:a697f084dfa006db45c09e2df7f6fa4c5b9bf76f7cab29a60564d2135948bbc9

Observation 94b87953-24b2-4af2-a5a0-9243afdcccb3 · outbound

This paper cites Udh: Univer- sal deep hiding for steganography, watermarking, and light field messaging.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Udh: Univer- sal deep hiding for steganography, watermarking, and light field messaging

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.202379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.654928Z digest=sha256:0ef5eb533024b94e02a2232f333ffb1d3249118c82d892e94d624f2344d2034a

Observation 263a0e67-f210-48bd-b9c0-3b362b843069 · outbound

This paper cites In- evitable trade-off between watermark strength and specu- lative sampling efficiency for language models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges In- evitable trade-off between watermark strength and specu- lative sampling efficiency for language models

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.665613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.472129Z digest=sha256:3baacd7b955290481a721a90cdeb387289d30040a4a6afe6d8abdd4b68c9506e

Observation 8180ada7-6b30-4d40-a169-d2595793678a · outbound

This paper cites Wouaf: Weight modulation for user attribution and fingerprinting in text- to-image diffusion models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Wouaf: Weight modulation for user attribution and fingerprinting in text- to-image diffusion models

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.627398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.483365Z digest=sha256:28d084204476fab0076550e67c885d9d155917a93b0e10cca1a420963a936c83

Observation 40cc55f8-8c98-49f5-af69-1ca4dcd0465f · outbound

This paper cites Denoising diffusion probabilistic models.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Denoising diffusion probabilistic models

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.683177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.467346Z digest=sha256:18f5fee3a53d5dea56b9553aca7cf9d5de51e6bec849573698d4dc50d46175c6

Observation 2f3bac68-4c38-4b89-8796-e02e83f5902a · outbound

This paper cites Pluggable watermarking of deepfake models for deepfake detection.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Pluggable watermarking of deepfake models for deepfake detection

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.781890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.433025Z digest=sha256:83474912924dbcb2e81240e38904ad68fe02aa0e2fd6ee8600175e7a99ababb4

Observation 693cbe71-25c2-4f5a-a39c-d47d0e56917b · outbound

This paper cites Information hiding-a survey.

Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Information hiding-a survey

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:05:02.474568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:05:01.553244Z digest=sha256:03cbf6fe5c1d08446f188f19aeff03c281473559e3b1287e56fbdb1d5c6dd3c4

Pith citing papers

Observation 14c78cc1-4897-47cc-9716-c2e9ef422e90 · inbound

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

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge Visual Watermarking in the Era of Diffusion Models: Advances and Challenges

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:40:55.349102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:40:54.348280Z digest=sha256:714887b93ba1b579a8ca1a2415b461a016f7e73fb6c6ba4e1442f4304c812f63