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Paper Citation Record · LEDGER

Removing Watermarks with Partial Regeneration using Semantic Information

As of 18 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2505.08234.

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

pith.paper-citation-record.v1
2505.08234 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:06:02.176773Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T14:28:50.627444Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy35
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79ba37a2-51fa-41e1-a104-d207c6936b92 · outbound

This paper cites Digital image and video watermarking: methodolo- gies, attacks, applications, and future directions.Multimedia Tools and Applications, 83(2):5531–5591, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information Digital image and video watermarking: methodolo- gies, attacks, applications, and future directions.Multimedia Tools and Applications, 83(2):5531–5591, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.855805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.960321Z digest=sha256:720afadf8a5e1998371af1cca35c43705d56e0b76d7da7938309439715e4d9b4

Observation 40ac240d-ef33-4f28-b2d1-f33e80665bc3 · outbound

This paper cites Combined dwt-dct digital image watermarking.Journal of computer science, 3(9):740–746, 2007.

Removing Watermarks with Partial Regeneration using Semantic Information Combined dwt-dct digital image watermarking.Journal of computer science, 3(9):740–746, 2007

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:01.964610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:01.964610Z digest=sha256:7321b92d02c45496a0be5a66a73e2b67c14d9e3fd703c759912bac28d1ecee19

Observation 1e464161-a734-4428-9c99-20905adf9344 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Removing Watermarks with Partial Regeneration using Semantic Information Flamingo: a Visual Language Model for Few-Shot Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:01.968907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:01.968907Z digest=sha256:b1b976f18bc277a15b010957d2c91937a16d7555639156e7fa72e4952cd0369d

Observation 09111880-c22d-4a5f-b3a4-8a2269a4d27a · outbound

This paper cites Benchmarking the robustness of image watermarks, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information Benchmarking the robustness of image watermarks, 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.836210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.973582Z digest=sha256:7dbed6b7e26b33586b760db0b2a8c9b2407930261c3166bcc12ab606daa0620b

Observation 6cb2b21a-f7ad-4306-b6b4-13a5f02ad644 · outbound

This paper cites Andersen.

Removing Watermarks with Partial Regeneration using Semantic Information Andersen

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.824929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.977521Z digest=sha256:cff8fe42de441086c894eff3fd0428802d600ab89c5ebec0087d5a38e78667b9

Observation 1c2a7eb6-4eff-4aca-9109-34cb41a35035 · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

Removing Watermarks with Partial Regeneration using Semantic Information Bottom-up and top-down attention for image captioning and visual question answering

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.813481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.981968Z digest=sha256:e06a85841d8cb4b57fa2be2be69d42afa5781b88323f2004dba768fe2406e8e9

Observation f3b4fabc-45c8-4a83-bf27-91f6cedb2ece · outbound

This paper cites an unresolved cited work.

Removing Watermarks with Partial Regeneration using Semantic Information Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:06:02.802440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.986822Z digest=sha256:4103f7c08662e5d5781f0b03e971b15f355969d2a3474edcda51cf92b26008d0

Observation c148c5a3-08e1-4811-b838-d586961341ec · outbound

This paper cites Vqa: Visual question answering.

Removing Watermarks with Partial Regeneration using Semantic Information Vqa: Visual question answering

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.790830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.992023Z digest=sha256:86b2c680e8a0eb25f0d79ec761efa6c65b25650e16f8dd516c5a7b6e7c8f31b7

Observation bdcd32ab-7233-4028-8ce1-dca1ad753cd7 · outbound

This paper cites Quantitative approaches in multimodal fundus imaging: state of the art and future perspectives.Progress in Retinal and Eye Research, 92:101111, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Quantitative approaches in multimodal fundus imaging: state of the art and future perspectives.Progress in Retinal and Eye Research, 92:101111, 2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.779807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:01.996198Z digest=sha256:661f84b9b003ae19b9ce86d1aa94b30477a364775ff26dd55276e8a920c50e09

Observation b729895c-15ab-4169-b435-53ac3a73a46e · outbound

This paper cites Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts.

Removing Watermarks with Partial Regeneration using Semantic Information Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.000707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.000707Z digest=sha256:61abf25d6a065678c80f50991764820993e70418916d189910ff4a8fd53c9eeb

Observation 15120a71-40ac-4491-b736-f2aa38d499f2 · outbound

This paper cites Variational image compression with a scale hyperprior, 2018.

Removing Watermarks with Partial Regeneration using Semantic Information Variational image compression with a scale hyperprior, 2018

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.768618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.005420Z digest=sha256:0ffb7c02f604cb8d5a1ebbbb3bf66e272cc2f84ad9909bb858fd2f69aa0acb6f

Observation a087560d-f714-4df0-b049-bd652609af26 · outbound

This paper cites Digital image watermarking tech- niques: a review.Information, 11(2):110, 2020.

Removing Watermarks with Partial Regeneration using Semantic Information Digital image watermarking tech- niques: a review.Information, 11(2):110, 2020

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.756230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.010572Z digest=sha256:0c628c789db10bc9e83468b4c92ed01ba25f17e0034c6723edaf4eceb07e7d18

Observation 1906fe14-1ac3-4d2f-a6b6-06d46dd60db5 · outbound

This paper cites The rise of artificial intelligence in healthcare applications.

Removing Watermarks with Partial Regeneration using Semantic Information The rise of artificial intelligence in healthcare applications

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.744952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.014327Z digest=sha256:06a5a6d7128804d27f2c9421f420ca616001b7f1df4b658a0d1737a79408804a

Observation ba072a54-acae-4ad4-9877-9cf38142af4b · outbound

This paper cites When deep learning meets watermarking: A survey of application, attacks and defenses.Computer Standards & Interfaces, page 103830, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information When deep learning meets watermarking: A survey of application, attacks and defenses.Computer Standards & Interfaces, page 103830, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.731933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.018253Z digest=sha256:731158d5b61e5d2894fafae2b639627ce8070dd86b8f531ba760506a8b048b97

Observation 3e50575b-0ec1-4801-8338-2d56e2110ec6 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Removing Watermarks with Partial Regeneration using Semantic Information Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.021891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.021891Z digest=sha256:247633f6fbee5edaf9cf99eab6bb22bc71785e60296886a2f7c75012061a641f

Observation e26e5d4a-79da-47e8-839d-190f9dfb7480 · outbound

This paper cites Learned image compression with discretized gaussian mixture likelihoods and attention modules, 2020.

Removing Watermarks with Partial Regeneration using Semantic Information Learned image compression with discretized gaussian mixture likelihoods and attention modules, 2020

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.026501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.026501Z digest=sha256:031c7491dee2489f6b83e27526b667273d6cba6ef1781d74cb0e8e8780cc4c2c

Observation ffea7520-7d3b-477b-8edb-153e176c5cbb · outbound

This paper cites Digital millennium copyright act.Public Law, 105(304):112, 1998.

Removing Watermarks with Partial Regeneration using Semantic Information Digital millennium copyright act.Public Law, 105(304):112, 1998

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.713622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.030315Z digest=sha256:1e8a2fe9851dd4dfaf3598118d4e9168fa5b28dac9c1bb9e122e2f344f286133

Observation 8c75f223-ee78-4d8b-b944-73743811fc78 · outbound

This paper cites Cox and K.

Removing Watermarks with Partial Regeneration using Semantic Information Cox and K

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.700510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.034049Z digest=sha256:b25828f364ac39e2095d064eda75efae80610749cbca039063bb67740b4757a1

Observation f21df0d6-4fb9-4eed-abb1-34d0f8e013ed · outbound

This paper cites Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation.

Removing Watermarks with Partial Regeneration using Semantic Information Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:06:02.291901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.038107Z digest=sha256:65da0ee7a360fde4d589ba5ba5b45f58765eda62b5a5ef2321965e099405b811

Observation 9f380d45-e685-42d4-a4ae-f090f7d8e1ab · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

Removing Watermarks with Partial Regeneration using Semantic Information Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.042886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.042886Z digest=sha256:e07f97e2209de675f8abc125debd30cfd3d829d765c0e49c5b37f281a0219929

Observation 96209d09-38eb-497a-a3f1-7ce2532387c2 · outbound

This paper cites Gonzalez, and Trevor Darrell.

Removing Watermarks with Partial Regeneration using Semantic Information Gonzalez, and Trevor Darrell

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.689654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.047229Z digest=sha256:8825dbb7bfe81d8c370bf7e066717d85515d8ed8d58b34dc28a0b23ef52b92f4

Observation 236236a1-f9ca-42d4-9876-a426ee956f52 · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information The stable signature: Rooting watermarks in latent diffusion models, 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.677064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.053142Z digest=sha256:a5e13af61ecb4f58366b7f22b90ba7c84e42d9800dfffec063e8124496e430e4

Observation 5fa39d3a-9967-4684-8c95-5a1474cbd22c · outbound

This paper cites An extensive analysis of digital image watermark- ing techniques.International Journal of Intelligent Systems and Applications in En- gineering, 12(1):121–145, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information An extensive analysis of digital image watermark- ing techniques.International Journal of Intelligent Systems and Applications in En- gineering, 12(1):121–145, 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.663496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.057236Z digest=sha256:8581315b06dcc505669e0a3f78838991cd71eb93b41204ff9b1fbb8c4afc85e9

Observation f198462a-1b47-4dc5-a7ec-59bd0896907c · outbound

This paper cites An extensive research on robust digital image watermark- ing techniques: A review.International Journal of Signal and Imaging Systems En- gineering, 8(1-2):89–104, 2015.

Removing Watermarks with Partial Regeneration using Semantic Information An extensive research on robust digital image watermark- ing techniques: A review.International Journal of Signal and Imaging Systems En- gineering, 8(1-2):89–104, 2015

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.651700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.061637Z digest=sha256:1303352fd7164a6503d82b199d3b60591ba58db6331275d588f87db133763f64

Observation 9f813a63-b025-403b-8edf-35b4c13dc34e · outbound

This paper cites Imagic: Text-based real image editing with diffusion models, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Imagic: Text-based real image editing with diffusion models, 2023

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.637965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.066509Z digest=sha256:830d43c2dc2b53ded0160cdf6521c604835d3732ea7c7d7d2ce1e61fc6294f8f

Observation 80e6bdb8-6260-4412-a5a6-3f203faa06d8 · outbound

This paper cites Segment Anything.

Removing Watermarks with Partial Regeneration using Semantic Information Segment Anything

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.072556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.072556Z digest=sha256:a66a117573160249fc6d213ff9caf6c77d9580a9a4c735b90cd3f0f4430f720b

Observation 2b728a86-afc6-4815-a657-039d3197d691 · outbound

This paper cites A compreshensive re- view on digital image watermarking techniques.

Removing Watermarks with Partial Regeneration using Semantic Information A compreshensive re- view on digital image watermarking techniques

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.624271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.078476Z digest=sha256:5a78fffc8ad00fca25f894c3701816261e33bf5e8332c170237f875bb6166c17

Observation fc4d6e9b-c7a2-4ebd-8c09-f6387c4aac6b · outbound

This paper cites Artificial intelligence: revolutionizing cyber security in the digital era.Journal of Computers, Mechanical and Management, 2(3):31–42, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Artificial intelligence: revolutionizing cyber security in the digital era.Journal of Computers, Mechanical and Management, 2(3):31–42, 2023

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.610284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.084293Z digest=sha256:c5a06e714278e680cd9d4635a1179e244e4012c3ed7d012a0c6c8831bac48141

Observation 23f7bc58-a1e4-4807-9d15-00f277edb105 · outbound

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

Removing Watermarks with Partial Regeneration using Semantic Information SoK: Watermarking for AI-Generated Content

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.089208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.089208Z digest=sha256:a2ef3b56a68b488e3d5e448fbd78c637b5305724b7b1f8ca0c3f5ff600896979

Observation 624c3cd2-01ef-49d3-97fe-bbf4672ef6e0 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.093970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.093970Z digest=sha256:b27a703f13b3aaaeefc542079fdd68dd8ac87925a900e167deeb07a5774e79d2

Observation 60e5cd68-0060-4703-ab47-44f11f100c6f · outbound

This paper cites Adversarial attack for robust watermark protection against inpainting-based and blind watermark removers.

Removing Watermarks with Partial Regeneration using Semantic Information Adversarial attack for robust watermark protection against inpainting-based and blind watermark removers

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.585898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.098755Z digest=sha256:3d572c80a6c90e2c6e6ac061134ebd60ef55fe6820e825ee81043cdf880a98c4

Observation 4dc3134a-7df3-4db9-a960-62e66c9e8f0d · outbound

This paper cites lang-segment-anything, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information lang-segment-anything, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.572926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.103612Z digest=sha256:96f7c9d3cd4332e920745645fe53a2ad53dcea6452907e911e02af6cb3bdfc6b

Observation e01999e2-3b12-433a-b4dd-97ec2b8875bc · outbound

This paper cites Methods for countering attacks on image water- marking schemes: Overview.Journal of Visual Communication and Image Repre- sentation, page 104073, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information Methods for countering attacks on image water- marking schemes: Overview.Journal of Visual Communication and Image Repre- sentation, page 104073, 2024

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.559418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.107414Z digest=sha256:1a8b255004bee19afb77c102a9bc4f300181d6f3fc81608844d9029380a4c75a

Observation 1a4a5f76-1572-4060-af5f-3a4aa13ac41a · outbound

This paper cites Proactive deepfake detection using gan- based visible watermarking.ACM Transactions on Multimedia Computing, Commu- nications and Applications, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Proactive deepfake detection using gan- based visible watermarking.ACM Transactions on Multimedia Computing, Commu- nications and Applications, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.547023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.110971Z digest=sha256:ae7f82840628f04ef01aaa214ab69385b3a31531b0d06778540ecdaeaf97d9be

Observation 921777d0-55ec-4876-8c1c-48fd1e2226cd · outbound

This paper cites Diffusion models for adversarial purification, 2022.

Removing Watermarks with Partial Regeneration using Semantic Information Diffusion models for adversarial purification, 2022

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.114831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.114831Z digest=sha256:c63ca853d7a93c26466eee20b5ae90a13980c5e62ece017e35d97befa17fec5a

Observation 38aa2025-0342-4251-91ba-36955fad2d88 · outbound

This paper cites Inves- tigating deep watermark security: An adversarial transferability perspective, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information Inves- tigating deep watermark security: An adversarial transferability perspective, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.521491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.118914Z digest=sha256:baf2c0458d1ed14481cba72c37a0a85adfe5ec805125033c8d988c8b8eae41ee

Observation bf553d43-6d22-474c-b681-18b1dda84c71 · outbound

This paper cites A novel model watermarking for protecting generative adversarial net- work.Computers & Security, 127:103102, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information A novel model watermarking for protecting generative adversarial net- work.Computers & Security, 127:103102, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.508285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.122877Z digest=sha256:fa50d536f615f3d8a001106abdfc63cf5b64fbfe6c3694324de24101233aa1a4

Observation 84741326-9687-46b4-9db1-b66f08b5e767 · outbound

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

Removing Watermarks with Partial Regeneration using Semantic Information High-resolution image synthesis with latent diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.495547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.127025Z digest=sha256:51a7b65510fcd69f08490baa4566f44f343019d362c22fdfe545520ae9e7c927

Observation ec020980-e735-46fe-b23f-363fe6efe823 · outbound

This paper cites Robustness of ai-image detectors: Funda- mental limits and practical attacks, 2024.

Removing Watermarks with Partial Regeneration using Semantic Information Robustness of ai-image detectors: Funda- mental limits and practical attacks, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.479800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.130709Z digest=sha256:9efa72aac23a64c360d1a12eef33ab9fe5398ecea0d2d70a8b6a345c2ba41b5e

Observation 470914ad-a0b8-4f64-8651-1c832332611e · outbound

This paper cites A review of image watermarking for identity protection and verification.Multimedia Tools and Applications, pages 1–63, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information A review of image watermarking for identity protection and verification.Multimedia Tools and Applications, pages 1–63, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.466256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.134311Z digest=sha256:efe69be1aa4119f41d81fe9daa8294fdfc55441f1db70ffc14793c56c0fd542e

Observation edd0442c-f01f-43f7-bab9-6b663e746329 · outbound

This paper cites Artificial intelligence, machine learning and deep learning in advanced robotics, a review.Cognitive Robotics, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Artificial intelligence, machine learning and deep learning in advanced robotics, a review.Cognitive Robotics, 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.451296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.138942Z digest=sha256:916911dfbded426b8eac6a9acae232bb6d77d7b1fb10ce229af908e0d3ef18ed

Observation 6973634e-b34b-4821-86d1-25611be6849a · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs.

Removing Watermarks with Partial Regeneration using Semantic Information Stegastamp: Invisible hyperlinks in physical photographs

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.436532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.142983Z digest=sha256:f8ff58fd8bc3f6b3c30dffe30b5a17da789d6b3151c758e03510873d4e7cb326

Observation 3e8088ef-badf-478c-9d26-530b6b880d2b · outbound

This paper cites Robust image watermarking theories and techniques: A review.Journal of applied research and technology, 12(1):122–138, 2014.

Removing Watermarks with Partial Regeneration using Semantic Information Robust image watermarking theories and techniques: A review.Journal of applied research and technology, 12(1):122–138, 2014

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.422624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.146784Z digest=sha256:97e3b50824ee310f647210b49698018798485b1fe297f377b677dd4f10322944

Observation 97c41f38-bb76-42d3-956b-2b63fd170513 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Llama 2: Open foundation and fine-tuned chat models, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.406886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.151293Z digest=sha256:015eee62c10ef4093eebaa6826d2cbbaf6b8dc01aa36452d829dba1936901cd7

Observation 5f3d4a4c-201b-460a-b715-45dce44a1698 · outbound

This paper cites Tree-ring wa- termarks: Fingerprints for diffusion images that are invisible and robust, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Tree-ring wa- termarks: Fingerprints for diffusion images that are invisible and robust, 2023

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.394049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.155178Z digest=sha256:6efe9a180ef20a26a350671cd3940aea485411473c3bc2887117042621908cd8

Observation 51937a65-0601-4048-b0bb-3db0cda68197 · outbound

This paper cites Robust invisible video watermarking with attention, 2019.

Removing Watermarks with Partial Regeneration using Semantic Information Robust invisible video watermarking with attention, 2019

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.159894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.159894Z digest=sha256:201d51b86b6ccababfbfeb0a68f316e10094ad3bf0c66e3bbd2bc3c8b1f1487f

Observation 3a006759-4ed9-498c-b5a3-d06e41232072 · outbound

This paper cites Attack-Resilient Image Watermarking Using Stable Diffusion.

Removing Watermarks with Partial Regeneration using Semantic Information Attack-Resilient Image Watermarking Using Stable Diffusion

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:02.163514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.163514Z digest=sha256:65034a85527a6829b681d105aa0cc8a72f7e0e26e1c14af5bca5dc6fdf43db4a

Observation a67d378c-0485-4f01-941a-27397475e2cb · outbound

This paper cites an unresolved cited work.

Removing Watermarks with Partial Regeneration using Semantic Information Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:06:02.374409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.168119Z digest=sha256:af85fedb9c51c79d2274dae7bba803dce334b868ba8facdb4a54a984fc8b7450

Observation 222faee2-9425-4e5e-8ee8-90ec3dd2ca05 · outbound

This paper cites Invisible image water- marks are provably removable using generative ai, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information Invisible image water- marks are provably removable using generative ai, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.362584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.171810Z digest=sha256:73ecfcd00f9835c88f60ca7c7f39e7f9de022e6021c07ab458ebe120e80a1db4

Observation 0b0d83fa-53f0-4e7d-b605-c6f768210c21 · outbound

This paper cites A brief, in-depth survey of deep learning-based image watermarking.Applied Sciences, 13(21):11852, 2023.

Removing Watermarks with Partial Regeneration using Semantic Information A brief, in-depth survey of deep learning-based image watermarking.Applied Sciences, 13(21):11852, 2023

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:06:02.348925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T22:06:02.176773Z digest=sha256:54b173da8f44ee15f104b9ad2d042e206deee035e10fb9723286b1beba00bfe4

Pith citing papers

Observation e1fbc8e6-a81a-4d9c-a007-bb253944f09e · inbound

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety cites this paper.

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety Removing Watermarks with Partial Regeneration using Semantic Information

Reference 115

Resolution
unresolved
no resolver link, observed 2026-07-12T14:28:50.627444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T14:28:50.627444Z digest=sha256:a380efb476fc3436306e8bb893d5652e713e036a208ab10178d4c728543a5389