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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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.

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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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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 2026-08-19T06:32:44.657259+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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.462515Z digest=sha256:9b469832a861e9ee873db7c548e9ae36c838410dba877851b3c86e636e8c3432

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.477593Z digest=sha256:a9395eaabcfa3bc41355f90aad7cc3d0755827110c7d2e1d4e285c5f4b4c4451

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.494744Z digest=sha256:4b6461971147379fd7cb33e3dd7d493226c0ebb16ea6a29336fd1b6deb5ef9f2

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.511246Z digest=sha256:d2497cb236dc534ed5152a4ee2b105a3b3689b18e1028b7aaa9c385436a89bdf

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

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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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unresolved
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.546893Z digest=sha256:4db09f75dced4331f842cca090cd3825a02e08479428b1b10b82117ba407a76b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.565047Z digest=sha256:0e69f40b66eb86831321f55e81cd95825e8c2d4fbe9bcb100caade7d78d492b8

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.577864Z digest=sha256:f8a654ba2299f1b88ee8084cb45152b4ee3be7c51c163d3b5931c7203e86ae0b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.584660Z digest=sha256:6bfeceb930f8786abb1bbacbbb103e2b121bd4f56aead46d51cdedc6c1550528

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.600886Z digest=sha256:38a19717cef32c8528414a555f4801423801c908a97c814e35b0c04bb5ead4cc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.608496Z digest=sha256:6bd51f532225342a11e0620b379a9aab484fcca415529d7c212ad241c5f022dd

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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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 2026-08-19T06:32:44.657259+00:00.

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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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raw_fallback, observed 2026-08-15T22:05:02.303822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.626346Z digest=sha256:43f077e67c43fa0e5681f48c7886098409fba9fad01605613ab090cdb772384b

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.631556Z digest=sha256:6f3ac5066bd2066193d141389456525b9f8ed033de92a1150b09896747a56965

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.636674Z digest=sha256:509242eba2cab728ac82f59fab59fa78c168d9838807b97ed44007a85b77cf24

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.642312Z digest=sha256:61736123fd7aadc5f9c3f5f476592d14355644265375040203b9c669e84e4bd8

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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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.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.685107Z digest=sha256:7d4ac266a2d10112315db749d5bbc8dde7258ae9e8f94e9d207ab997cce38466

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.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.456270Z digest=sha256:d93f0b24b6e202bfc085d200bb1b4b1cba4f99e1db507fbd02a4cccc94f3c4e7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.559805Z digest=sha256:fd611e1576da3264406bb711059ad42c866d3e6e96126515c4b922fdf7be3c80

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.594607Z digest=sha256:70b4fbe7f1f22ded693a71ca839be2ef9119dbd2b288b2714182d3564a577ec9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.443947Z digest=sha256:a7ab9b82c65903be056182f2f7cc626690f2093643b5c3a9950b478900a3bef6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.540414Z digest=sha256:3a4fe1b2e81f7169c64b28f9675f063b0a3b88f66e5d47fa4fab82281c375b35

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.654928Z digest=sha256:d3bef0ca23e971165d1e50466458763ee0fec0697b482e29019917241429fc0d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.472129Z digest=sha256:3694e52407d9f908ec90e35c0d15ebc3a5b26c191410b347e574ceefb27daab6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.483365Z digest=sha256:d5970b2ff84d81bc42aadd83842fe4d097df4919879be22dbe0c154fe5d7a54f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.467346Z digest=sha256:c494ce71b69e75d2f862949074944dbdd4f10cb3b201315919a1241b14932198

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.433025Z digest=sha256:d1845b4f219929b12e48d986caeb2d1dd9569773ed5537864f2ae5bc89e7e55b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T22:05:01.553244Z digest=sha256:b7433c9a548879bd8a8ae61c3b4f157be1828cc90ffde54270037a64c7dbc755

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:40:54.348280Z digest=sha256:ddf8b76e891d3f6942183319bc8f979e187ebfb8bfd93c11c331cfaedca06ad6