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Paper Citation Record · LEDGER

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection

As of 9 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2506.02665.

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

pith.paper-citation-record.v1
2506.02665 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:24:03.633371Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

87 of 87 outbound references displayed

  • verified exact4
  • verified fuzzy47
  • unresolved35
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d56bef9-a648-413f-93a9-4e254fc1c52b · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection WAVES: Benchmarking the Robustness of Image Watermarks

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.215177Z digest=sha256:b5935af0cf99be6cca13709dc48a270e23618ba4da778979f84c4f21888c1986

Observation 13317730-fa8a-400b-9924-257643725307 · outbound

This paper cites Invertible generative models for inverse problems: mitigating representation error and dataset bias.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Invertible generative models for inverse problems: mitigating representation error and dataset bias

Reference 2

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source=pdf_text observed=2026-08-07T11:23:57.261811Z digest=sha256:8c1fc045fab48a89dec2f2bbf1fe182918c81cb86d3cc2bf0e673fab87b1c9ac

Observation 23abc6db-e9a0-4bcf-97e2-4ff2507848d2 · outbound

This paper cites Synthesizing robust adversarial exam- ples.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Synthesizing robust adversarial exam- ples

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.327107Z digest=sha256:0cb30a8182b3844688603040b2cfbd5104484dc24f305b712ff99b9b7c2b4b62

Observation 36db2ec7-fc9f-444d-9116-bab5cee1fcc9 · outbound

This paper cites The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples

Reference 4

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verified exact
local_arxiv, observed 2026-08-07T11:24:04.539446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 06265adf-ec2c-4c83-a13c-e3c44c33de32 · outbound

This paper cites Compressed Sensing Using Generative Mod- els.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Compressed Sensing Using Generative Mod- els

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:23:57.466297Z digest=sha256:1234ae205c3bb90e2e24c176906a9f06b54660b0c71f5137d62f3cc3711c9007

Observation 3b702145-bef9-4b62-9b22-a12042456d62 · outbound

This paper cites An Introduction to Vision-Language Modeling.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection An Introduction to Vision-Language Modeling

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.545756Z digest=sha256:138e927f6877663df345e7a070e595615f90c2725a3751b1d71dc0d2c17ba18a

Observation b2a6f44b-795f-48b7-8002-51328ee217ea · outbound

This paper cites Braudaway, Karen A.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Braudaway, Karen A

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.623097Z digest=sha256:be247e8aa0f797aecad03efd65f02ed00854b41eebe74702de1f1e3336e56e63

Observation a4738b73-62ed-40a3-ba7f-05855a2fc4c9 · outbound

This paper cites Generative adversarial networks model for visible watermark removal.IET Image Processing, 13 (10):1783–1789, 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Generative adversarial networks model for visible watermark removal.IET Image Processing, 13 (10):1783–1789, 2019

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.729025Z digest=sha256:b7873a506939a0e9f9a130a677c8d02e986a928f4cfcc01571ea2d0b095ba1c2

Observation 549fe70e-6ee9-4a91-ad03-f37bae86cd3d · outbound

This paper cites Large-scale visible watermark detection and removal with deep convo- lutional networks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Large-scale visible watermark detection and removal with deep convo- lutional networks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.803104Z digest=sha256:f69f7efb8e410ab00c45ce52a1b7b70c3bbb7d741f8daaaa0fd50c05e85099f1

Observation a96bee41-fda0-4697-8865-54aa573b0ecc · outbound

This paper cites Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.892296Z digest=sha256:169a4ea62560056f31d1b0daff558d83867634cf12e6144a805fa536ffa36c05

Observation da27d9f1-45f7-4da4-a860-5ea1ff1c8ca2 · outbound

This paper cites How to backdoor diffusion models? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4015–4024, 2023.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection How to backdoor diffusion models? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4015–4024, 2023

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:57.948409Z digest=sha256:d29b8dff9473697025f398c6245a28ed93a47c96e30d9c9df67aa1f25641c8d4

Observation 90dfab48-19af-4223-b228-2353f1ab9612 · outbound

This paper cites Emnist: Extending mnist to hand- written letters.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Emnist: Extending mnist to hand- written letters

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:57.997583Z digest=sha256:6ad1a029714dabf15b998cedeee6480b2144fde05e3ee51f729445aa5be2dc5b

Observation 20ae7964-9399-459f-94b4-76284bb35ed0 · outbound

This paper cites Secure spread spectrum watermarking for multimedia.IEEE transactions on image process- ing, 6(12):1673–1687, 1997.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Secure spread spectrum watermarking for multimedia.IEEE transactions on image process- ing, 6(12):1673–1687, 1997

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b8b53a13-30aa-4232-848a-1c66054e6e1d · outbound

This paper cites Split then refine: stacked attention-guided resunets for blind single im- age visible watermark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Split then refine: stacked attention-guided resunets for blind single im- age visible watermark removal

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.978794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:58.186378Z digest=sha256:bd830550e54e58cd8b522734420e88309281ec9a9b6f252f23396d6c6e37a9f7

Observation 351fb156-537c-4bd5-8ddd-b7213f228c2b · outbound

This paper cites On the effectiveness of visible watermarks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection On the effectiveness of visible watermarks

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.792190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:58.228751Z digest=sha256:cec0a32ae565a5efdec1eee04384a2fc605b8e00e32fd424b627c38908704201

Observation ddd7b47b-169b-4c63-8d8d-6d72f1f9c9f1 · outbound

This paper cites Why do ad- versarial attacks transfer? explaining transferability of evasion and poisoning attacks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Why do ad- versarial attacks transfer? explaining transferability of evasion and poisoning attacks

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.641466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:58.300609Z digest=sha256:73e6156d3c70caeb932c62853339fe853c5a659f73551a6986333eef9d25f2cd

Observation d0e3c189-d7c7-4157-9567-5dc676166d0f · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Imagenet: A large-scale hierarchical image database

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0ea3f56-0617-45da-b040-349f4157db7f · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 18

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Observation 8154cbeb-87e8-4d60-bfea-4f8a4c6ba33d · outbound

This paper cites Density estimation using Real NVP.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Density estimation using Real NVP

Reference 19

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Observation 731829a3-38ff-407a-9fc8-0c346873ad8d · outbound

This paper cites A study of the effect of JPG compression on adversarial images.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A study of the effect of JPG compression on adversarial images

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:58.622291Z digest=sha256:99ff29e18d606f7c31ef16e05d8184e325e7f9896ad6cab6c3209056f21c975f

Observation 6984b3eb-c6fe-4457-93e6-73fd151a6a35 · outbound

This paper cites The stable signa- ture: Rooting watermarks in latent diffusion models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The stable signa- ture: Rooting watermarks in latent diffusion models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:58.678943Z digest=sha256:908b35aabc57332f898299442a5241330cc6f3c08e7567efab2d21cba6a3a20b

Observation c418df87-56a9-4195-bd24-90c8f8bbcb94 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Model-agnostic meta-learning for fast adaptation of deep networks

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 233c33e5-19c6-4287-a558-9e7ec606f44c · outbound

This paper cites Bilevel pro- gramming for hyperparameter optimization and meta- learning.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Bilevel pro- gramming for hyperparameter optimization and meta- learning

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.104915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:58.904234Z digest=sha256:8a3e13e3c41e5abd82f1761555bd339a400421eb3ebcf40687a6c09fe51d8b24

Observation ae26a90d-05a8-4d30-9d7f-05c38a954eef · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 24

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Observation 5028c061-7f72-4fb7-8999-d9d6fb815b5c · outbound

This paper cites Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Reference 25

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no resolver link, observed 2026-08-07T11:23:59.030691Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:59.030691Z digest=sha256:01cd6984cde9cfd5acfcabb3f10b12637607ad0dbe00990e22805838aec57ed7

Observation 6f1324bb-3c96-4d76-9b22-01a91c77322d · outbound

This paper cites Approximation Methods for Bilevel Programming.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Approximation Methods for Bilevel Programming

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:59.121752Z digest=sha256:dca19783afcdd8643f88b89db9d7b9096ecaac8daf56b97cd1f463836be9eea8

Observation 23cff279-f997-44e3-ba19-9bb933ed9c8e · outbound

This paper cites Aigc challenges and opportunities related to public safety: a case study of chatgpt.Journal of Safety Science and Resilience, 4(4):329–339, 2023.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Aigc challenges and opportunities related to public safety: a case study of chatgpt.Journal of Safety Science and Resilience, 4(4):329–339, 2023

Reference 27

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raw_fallback, observed 2026-08-07T11:24:11.927974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dbb07047-6f70-487a-b03c-90d1338f7d49 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 28

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no resolver link, observed 2026-08-07T11:23:59.259952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:59.259952Z digest=sha256:91a9ffc21397f77bff5949e32e7f1d3029a2ab8f32061362015a4198eea655e8

Observation 44fe1e37-acf3-4378-a9d0-0d4713a0a76f · outbound

This paper cites Wavelet domain adap- tive visible watermarking.Electronics Letters, 37(20): 1, 2001.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Wavelet domain adap- tive visible watermarking.Electronics Letters, 37(20): 1, 2001

Reference 29

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raw_fallback, observed 2026-08-07T11:24:11.757357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.337868Z digest=sha256:f751e2016ccba2e6b0042b648fb6c272896f29aa190f16b8a359da55faa66c58

Observation ef5dae95-3999-4686-b709-64fcb52a8c92 · outbound

This paper cites Attacking vis- ible watermarking schemes.IEEE transactions on multimedia, 6(1):16–30, 2004.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Attacking vis- ible watermarking schemes.IEEE transactions on multimedia, 6(1):16–30, 2004

Reference 30

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raw_fallback, observed 2026-08-07T11:24:11.554552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.415362Z digest=sha256:cb3be8c648d3c4ee316f9bea82e6d50744acda13942974843193ef6d419f2df1

Observation 867eee9b-6e96-4faa-a4cc-78b533ff4166 · outbound

This paper cites Metapoison: Practical general-purpose clean-label data poisoning.Advances in Neural Information Processing Systems, 33:12080– 12091, 2020.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Metapoison: Practical general-purpose clean-label data poisoning.Advances in Neural Information Processing Systems, 33:12080– 12091, 2020

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.379514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.533461Z digest=sha256:58a504e9ed61a9d8b0581c6f39d4f090376a3d626e6a23d33b9dadfa0bb61df9

Observation 4e7b44e8-5f56-4ab4-91b7-e874f13010b1 · outbound

This paper cites Adap- tive visible watermarking of images.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Adap- tive visible watermarking of images

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.239053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.615420Z digest=sha256:67fb3ffa341345f7899a64c2393da8ac9fd154fed5724063a6426365de1555a8

Observation 95648114-0a74-4768-b9f8-42ba827f0c61 · outbound

This paper cites Deep Learning-based Text-in-Image Watermarking.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep Learning-based Text-in-Image Watermarking

Reference 33

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verified exact
local_arxiv, observed 2026-08-07T11:24:04.324678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.671356Z digest=sha256:452f3fc773e1c86d61b64b465a8d424f8b2a16fe97f2c71f81713ed3169b1f79

Observation 5e58cc14-0a61-4130-8ac5-5280e3789f67 · outbound

This paper cites Markpainting: Ad- versarial machine learning meets inpainting.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Markpainting: Ad- versarial machine learning meets inpainting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.050880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.747249Z digest=sha256:68d009f3e27bba94a2b3ab955c3d9d00e142069bd627bcf03c2751c2e115eb0e

Observation fb46b169-9f70-45ce-a7e7-2566b2dab03e · outbound

This paper cites Diffusionclip: Text-guided diffusion models for robust image manipulation.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusionclip: Text-guided diffusion models for robust image manipulation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:59.801075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:59.801075Z digest=sha256:4f01868a8a9875de6cc36939544405451de5dbd4d3c9de66539616d2f1a847f6

Observation d8e3938b-4574-40a1-bde5-9f561c6e580c · outbound

This paper cites Auto-Encoding Variational Bayes.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Auto-Encoding Variational Bayes

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:59.848929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:59.848929Z digest=sha256:56b1360daacc014b2f4701f8966b59f0fec9d5c6378dc86a227edf37da081952

Observation 0b33b369-47ca-4a5f-b469-067bc95f6535 · outbound

This paper cites A water- mark for large language models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A water- mark for large language models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.928565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:23:59.945287Z digest=sha256:4622d2d8a6f4c75e2a9eed1325265880b308b17a16cd8e2ef154f0215bff7258

Observation a3c3188e-1066-4bac-a43d-d74468d35ae4 · outbound

This paper cites Protecting text ip in the era of llms with robust and scalable watermarking.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Protecting text ip in the era of llms with robust and scalable watermarking

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.748251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.011266Z digest=sha256:2a91c5d42dddeac71455611b385e27ccb9b022b0be9c126f097a5e0ac434f6fb

Observation 7f015589-e436-4b79-a1c1-aef59f8e2a88 · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278– 2324, 1998.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278– 2324, 1998

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.577828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.101974Z digest=sha256:fbe969f7e1d175771a1f729903b1a399a5387f8e414d34adf492e8d852827da0

Observation 0dafa23b-eed9-46db-833d-e8c29a636ad8 · outbound

This paper cites Inverting Deep Generative models, One layer at a time.Advances in neural information processing systems, 32, 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Inverting Deep Generative models, One layer at a time.Advances in neural information processing systems, 32, 2019

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.377547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.201147Z digest=sha256:392e19025f6e79b3b5dcf768b2f25daf2e7fc47012e5ca1f91ef592a0c595139

Observation 86062583-d8e3-4fe0-afdf-daf5fc16e0a2 · outbound

This paper cites Removing interference and recov- ering content imaginatively for visible watermark re- moval.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Removing interference and recov- ering content imaginatively for visible watermark re- moval

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.237300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.290230Z digest=sha256:a0c8768021d78844a831ad7e7daa5735ec6913812c670501d7e5b69c717b483b

Observation caa4c9aa-1505-48b1-84f7-6cd310ed3e1c · outbound

This paper cites To- wards photo-realistic visible watermark removal with conditional generative adversarial networks.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection To- wards photo-realistic visible watermark removal with conditional generative adversarial networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.095351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.360096Z digest=sha256:b738627cb57a0e53927a21248a6a46d0590f4eb57fddbb455f06d55e4c862418

Observation 274a061f-d2b4-4ff1-95bb-6f564a7c17c4 · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:00.439606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:00.439606Z digest=sha256:caf6f81318b29dc7b83c0cfad9f33d9757b5ad4539bb6b5ce14e9b9929e726bb

Observation 10901055-7300-476e-8922-20accd288260 · outbound

This paper cites Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:00.493067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:00.493067Z digest=sha256:104d9c5da55720754729ac0ce8380f8a65e9a6df8cac734566e59e985727a934

Observation 6b4a57ec-5208-4eb0-8278-87532a0203e1 · outbound

This paper cites Visible watermark removal via self- calibrated localization and background refinement.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Visible watermark removal via self- calibrated localization and background refinement

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.943804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.572703Z digest=sha256:9e040538de9b3687b0666d55fe287646449f6d8614cf16ead736011d798dd6d3

Observation 8ca3350e-b47f-4164-9894-b177589d7c05 · outbound

This paper cites A survey of text watermarking in the era of large language models.ACM Computing Surveys, 2024.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A survey of text watermarking in the era of large language models.ACM Computing Surveys, 2024

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.799258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.625298Z digest=sha256:674faa0c0cb7a02d0f93d412f99402cdae5e74f534601b9990bd160d6fb835e3

Observation 2b754760-f5b3-47fc-95b8-0990a12265f9 · outbound

This paper cites An Empirical Comparison of GANs and Normalizing Flows for Density Estimation.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection An Empirical Comparison of GANs and Normalizing Flows for Density Estimation

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:24:04.064977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.707762Z digest=sha256:6c90515104a64afbead8eb686a30f11818e63ff1ceb0da71ac6c6798ae5a2d41

Observation 284a3a44-559e-44ec-9b69-a3f37288c8d6 · outbound

This paper cites Opti- mization for amortized inverse problems.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Opti- mization for amortized inverse problems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.662368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.790381Z digest=sha256:192066af29c472099560288143df2483bbe0a17cb3466bfa91f87cd923c97ea5

Observation 04501162-488a-48a7-8414-fcd16043763f · outbound

This paper cites Watermark vaccine: Adversarial attacks to prevent watermark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Watermark vaccine: Adversarial attacks to prevent watermark removal

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.506048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.861287Z digest=sha256:9fd84f8337cb30a0ab8bfac6e34dbc8144ff5eb96151f60871c3aceca96a7641

Observation a72bda53-2a16-4e18-b494-269256b39142 · outbound

This paper cites Toward the unification of generative and discriminative visual foundation model: A survey.The Visual Computer, pages 1–42, 2024.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Toward the unification of generative and discriminative visual foundation model: A survey.The Visual Computer, pages 1–42, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.370900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:00.922616Z digest=sha256:2997bc1b90a3b8f685506a9b0cf631f6eb8fc1a55c09f86051534506e89886a2

Observation 6bbf2503-1e3a-4eae-a344-c156c9625431 · outbound

This paper cites Wdnet: Watermark-decomposition network for visible water- mark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Wdnet: Watermark-decomposition network for visible water- mark removal

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.096574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.012209Z digest=sha256:809328daec22c307dab731bee87da21b1d3e55f8650217d0bbe747660f2cf03a

Observation e0d2a70d-d59c-49c9-b9ba-28a1fe9046d4 · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Metacloak: Preventing unau- thorized subject-driven text-to-image diffusion-based synthesis via meta-learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.955987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.043648Z digest=sha256:12153d94d56941acde64f55fe205777e3b8a533f2743ea26e87f131450afc78a

Observation 2cd44364-4937-4b32-9c76-542584fdfc23 · outbound

This paper cites Deep learning face attributes in the wild.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep learning face attributes in the wild

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:01.143108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:01.143108Z digest=sha256:0d30b99540e1e46778aa139b6e75cffab0d0aeec4a956bd9c87e35717eecb822

Observation 85d26615-3c14-4844-86f5-878aba635a3c · outbound

This paper cites Decoupled weight decay regularization.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Decoupled weight decay regularization

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:01.209531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:01.209531Z digest=sha256:cd9c21651cfa10ef875a02692c2a0770da1c2cc08a3455e08e216dc86d8d9ed6

Observation 29aed3f0-a967-4eb9-9973-7cb5fba412ee · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic mod- els.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Repaint: Inpainting using denoising diffusion probabilistic mod- els

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.751808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.279854Z digest=sha256:d96807490955dbfbe36bf32ac159dc92539ccd4dd3913a5d5c6613bc3a6984e1

Observation ebca7ab9-5522-459c-b488-ab37dbadde6d · outbound

This paper cites Blind deep-learning-based image watermarking robust against geometric trans- formations.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Blind deep-learning-based image watermarking robust against geometric trans- formations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.606964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.387786Z digest=sha256:da5509c0fc7dd9222fd16f8798ce2af9e0316616853491a65bb51db8b056c9c0

Observation dd0bbe9e-1644-44ee-9907-3cea8c43f822 · outbound

This paper cites A dual watermarking technique for im- ages.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A dual watermarking technique for im- ages

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.454857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.531728Z digest=sha256:7422fdcfc39d86b2d057b84e84cbf7afa25c69edc2aa8bd207b227e68cd8005f

Observation 0937752d-c208-4a23-9353-d19224acde75 · outbound

This paper cites Deep Learning Techniques for Inverse Problems in Imaging.IEEE Journal on Selected Areas in Information Theory, 1(1):39–56, 2020.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep Learning Techniques for Inverse Problems in Imaging.IEEE Journal on Selected Areas in Information Theory, 1(1):39–56, 2020

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.324433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.627675Z digest=sha256:aefd5752c2d270fe00f15d625da317085fd061fb0bd77627d029f5df87df8f44

Observation 9a624c2e-f92f-449e-9343-db2ebcee7fcb · outbound

This paper cites From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:01.720080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:01.720080Z digest=sha256:bbb3d3890383bd71da8e8e460c5e2494570fc0b32f3320981fe6fec8711c0343

Observation 2137fe13-2bdc-4ac8-a8b7-04ffd07709e6 · outbound

This paper cites Normalizing Flows for Probabilistic Mod- eling and Inference.Journal of Machine Learning Research, 22(57):1–64, 2021.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Normalizing Flows for Probabilistic Mod- eling and Inference.Journal of Machine Learning Research, 22(57):1–64, 2021

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.156491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.816879Z digest=sha256:7049aa948f616d55c4032cb21d2e5a51966ff72099c19e7363a56b25f48533fe

Observation f5857c01-9761-4b3b-9ac0-4c694d77f581 · outbound

This paper cites Practical black-box attacks against machine learning.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Practical black-box attacks against machine learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:01.884527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:01.884527Z digest=sha256:5c6683c6e1972db295aed05133f5e3f699de35af9d4333a9ea2fb61d97284b95

Observation 53996b70-3fb9-4cd2-9109-87111d522fec · outbound

This paper cites Image- adaptive watermarking using visual models.IEEE Journal on selected areas in communications, 16(4): 525–539, 1998.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Image- adaptive watermarking using visual models.IEEE Journal on selected areas in communications, 16(4): 525–539, 1998

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.003647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:01.939186Z digest=sha256:4c3716284bc2e4b65d23964d2ae8cbc9ba497017f2dd943ce927caf0d9a25ede

Observation 4fe81178-edd8-4d5e-a5b8-2d1efe60f1d0 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1 (8):9, 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Language models are unsupervised multitask learners.OpenAI blog, 1 (8):9, 2019

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:02.000002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:02.000002Z digest=sha256:4847110f919eb63d220b5614aa746d1c29b85bb3abf1e6660267e3be9da02208

Observation cf86cb7d-d25f-4af0-a834-039c384582b2 · outbound

This paper cites The devil is in the gan: backdoor attacks and defenses in deep generative models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The devil is in the gan: backdoor attacks and defenses in deep generative models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.880368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.091463Z digest=sha256:4a89e6e25da0dc20e8be96141c104a92ef3973629040e7410f90b9260fcfbf33

Observation b5ced3d0-8500-42e9-8166-6aca29fae73a · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection High-resolution im- age synthesis with latent diffusion models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.745503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.157420Z digest=sha256:c0717de1a9e91df5e4c2484055c814c4d557ac516c872f82d67c8cdac7d6c5eb

Observation 5fc5a4dc-d904-4d26-a401-237dea356e7b · outbound

This paper cites Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Dream- booth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:02.215486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:02.215486Z digest=sha256:001ac5b099bb1c2511faa40626fdc2da43f51b865986cf0f3961cd5904892661

Observation c9d7e829-befd-44c6-9571-03fb50463a95 · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Raising the Cost of Malicious AI-Powered Image Editing

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:02.267592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:02.267592Z digest=sha256:5a3a7070e67a640e2a2bd67b4719f74cc1f5557f3df6046e38778bb16a07b143

Observation 4598ab5a-ab30-4bfc-a4a4-5c0ceacf4cdf · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Glaze: Protecting artists from style mimicry by {Text-to- Image} models

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.612603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.332103Z digest=sha256:ccd57913da951699fc37347248292106943077a3b2009eff720c11a66b1196a1

Observation fc56f203-b4dc-4459-a1d1-e062ca973a5f · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Dragdiffusion: Harnessing diffusion models for interactive point-based image editing

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:02.432725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:02.432725Z digest=sha256:94f181551a09c7b43361addb643ba70bbfbf70ae82001a35da8ea39282500658

Observation 7f946289-1cc3-45e5-a4a7-77233981bb9e · outbound

This paper cites A review on bilevel optimization: From classical to evo- lutionary approaches and applications.IEEE trans- actions on evolutionary computation, 22(2):276–295, 2017.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A review on bilevel optimization: From classical to evo- lutionary approaches and applications.IEEE trans- actions on evolutionary computation, 22(2):276–295, 2017

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.439863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.507026Z digest=sha256:cbb5589f65ec827bca49874dac4e714ee27dc05401312d796240890f63f806b3

Observation 91dea938-8740-4c45-a3e6-13a71025a7d0 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Deep unsupervised learning using nonequilibrium thermodynamics

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:02.576468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:02.576468Z digest=sha256:a653c0960d0a978c2703757d8ff41d0311d0b2ad77d45faff0c0b59c23de64b8

Observation 72667373-b67b-49c9-ba7c-0cd054934084 · outbound

This paper cites Learn- ing structured output representation using deep condi- tional generative models.Advances in neural informa- tion processing systems, 28, 2015.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Learn- ing structured output representation using deep condi- tional generative models.Advances in neural informa- tion processing systems, 28, 2015

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.240702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.652130Z digest=sha256:2767c93ff79cba10b9f1513362370a509cf79b3f95367683bf4a0e9037e1f85e

Observation b4981b10-0a2d-498a-bffc-d5e04eb3ade4 · outbound

This paper cites Denet: dis- entangled embedding network for visible watermark removal.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Denet: dis- entangled embedding network for visible watermark removal

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:06.986972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.709001Z digest=sha256:8a909db202d0f29f18c7fd792526bbd3209022d2fdd62ac672682d9b7df6881b

Observation 0249fae6-ea2b-47be-a5b2-12bca904c89d · outbound

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

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Anti- dreambooth: Protecting users from personalized text- to-image synthesis

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:06.824482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.799271Z digest=sha256:0d4dff9996759c30acea852b33d6cbf6947d6cd38e854545cb0a397a826fc75c

Observation ce20ae2b-e5d7-4746-860f-d6fadd58e0eb · outbound

This paper cites Diffusers: State-of-the-art diffusion mod- els.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusers: State-of-the-art diffusion mod- els

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:06.628300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.894476Z digest=sha256:c0c3e23755c266e44ff5608becbd30a6e8d77a9888a332ee7c7a96aa01308914

Observation 355260d6-4c8b-4bbc-91e8-f24a4ce3041e · outbound

This paper cites The use of water- marks in the protection of digital multimedia products.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The use of water- marks in the protection of digital multimedia products

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:06.431773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:02.966394Z digest=sha256:864b75d14632e3bac855fa00e65790d268882f6b7d2a945e53f8e7912de3a724

Observation 54eaf8e5-298e-4a1d-9869-10dbc060b0cf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:03.042016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:03.042016Z digest=sha256:b309b5ed92ea118278c96ac9d443b3dc69ec2e3f8f6e1b0ba279706c1552688c

Observation fd78fc0d-5e18-43da-b974-ec7ac27cd94f · outbound

This paper cites The emergence of deepfake technol- ogy: A review.Technology innovation management review, 9(11), 2019.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The emergence of deepfake technol- ogy: A review.Technology innovation management review, 9(11), 2019

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:06.162529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.128782Z digest=sha256:7b971669e3a933d94caff5a02c12ab86cf41b644fc61840eaeed2b9eb81da85c

Observation eb436d0c-2b0d-4ff0-9033-3693aa07b24a · outbound

This paper cites Solving In- verse Problems with a Flow-based Noise Model.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Solving In- verse Problems with a Flow-based Noise Model

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:05.921507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.201054Z digest=sha256:8f65d504fb31f2d8e46e78ee60151acc987342c96dbe840f05a2260455b33a6b

Observation 970c89da-49cd-4941-abf8-7fa2906d4a17 · outbound

This paper cites Rethinking adver- sarial attacks as protection against diffusion-based mimicry.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Rethinking adver- sarial attacks as protection against diffusion-based mimicry

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:05.648719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.309731Z digest=sha256:0e0356e2b8a5b4a739b3b7c99342520d927ecdf5be5331db98c25802f8cbe0a8

Observation 0cbec382-d00c-4fa0-9cbb-c8f6c402fdc3 · outbound

This paper cites Diffusion models: A compre- hensive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Diffusion models: A compre- hensive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:05.252288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.400334Z digest=sha256:e82208805a618f86a516d1688c5f287a733187608ec29888f1757f37f3829f5a

Observation a03dd5fe-c937-44b9-a1bc-e65d8cb8af90 · outbound

This paper cites Responsible Disclosure of Generative Models Using Scalable Fingerprinting.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:03.477713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:03.477713Z digest=sha256:6bc04c0caa21b2665240e6b2caa7ed969f3e982f6a7724a04289a30da2fad1c5

Observation d3e3631d-f967-4ce5-af8d-f5cef9c390e7 · outbound

This paper cites The unreasonable ef- fectiveness of deep features as a perceptual metric.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection The unreasonable ef- fectiveness of deep features as a perceptual metric

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:04.937552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.480950Z digest=sha256:da654183dcbb38b1d2504176463b433f7c6e56969d393c81624211114ec91e80

Observation 09b537f7-c300-4e8e-8fad-2e35aa8d4b96 · outbound

This paper cites Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:24:03.863139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.484293Z digest=sha256:6ac88126c35da4b67eb9844ffc4b2a8ff40b4350888a61b5a2031a6ea496f77b

Observation 8f01c1f0-5deb-4c4d-aabe-21dae29c684a · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection A Recipe for Watermarking Diffusion Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:03.514296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:03.514296Z digest=sha256:75077d85ac47dc1aa9010fa4f4aa0be8dff0866315afa350e2d0640a29889a31

Observation 17006cdc-0beb-4436-84d5-57bc5fb0639d · outbound

This paper cites an unresolved cited work.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:24:04.730063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:24:03.570277Z digest=sha256:b29b141176eea647c28f60392fd4c27fea8f9a371d1ee00fcef5a7c4b4f16bc4

Observation 45e4f1d5-c877-4fa2-b93f-0658e5165b45 · outbound

This paper cites coefficient of watermark regularizer.

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection coefficient of watermark regularizer

Reference 87

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:24:03.633371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:03.633371Z digest=sha256:5419c071478939ac64ac01ae937acd77521f42235df488fb5a1cdb2ca7b4384d

Pith citing papers

No inbound Pith citation observations are available.