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Paper Citation Record · LEDGER

Dynamic watermarks in images generated by diffusion models

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.08927.

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

pith.paper-citation-record.v1
2502.08927 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:18:33.522244Z

measured 30 of 30 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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fbeea4c-dfe1-434c-9933-a47be7696f90 · outbound

This paper cites Mesonet: a compact facial video forgery detection network.

Dynamic watermarks in images generated by diffusion models Mesonet: a compact facial video forgery detection network

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:35.151612Z

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 4737a13c-0367-4e2a-867a-1ae336eb81f0 · outbound

This paper cites Demystifying MMD GANs.

Dynamic watermarks in images generated by diffusion models Demystifying MMD GANs

Reference 2

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unresolved
no resolver link, observed 2026-08-07T23:18:33.066964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.066964Z digest=sha256:c3f7cf657798a9ad8cce0c4ea1a1e07b72541e62022005f1bd46789fdd767fc2

Observation 386e9fb3-b3f9-4fce-82af-47e5f9ba8d05 · outbound

This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.

Dynamic watermarks in images generated by diffusion models InstructPix2Pix: Learning to Follow Image Editing Instructions

Reference 3

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unresolved
no resolver link, observed 2026-08-07T23:18:33.138406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.138406Z digest=sha256:fe51d0218fa67e28afd3e98aec26bce505ff0d7ff5bf228e4d33b79a5a6db99b

Observation 781c541a-b837-44f9-85fc-f39c0700be85 · outbound

This paper cites Video generation models as world simulators.Ope- nAI Technical Report, 2024.

Dynamic watermarks in images generated by diffusion models Video generation models as world simulators.Ope- nAI Technical Report, 2024

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.991268Z

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=2026-08-07T23:18:33.144911Z digest=sha256:0bfcd596e1fa17ee8b7f724904b9962b0d3c8a08d273c15ee62fb9099a14e32c

Observation 176791c5-03d2-402c-bbbb-b672b92218e4 · outbound

This paper cites What makes fake images detectable? understanding prop- erties that generalize.

Dynamic watermarks in images generated by diffusion models What makes fake images detectable? understanding prop- erties that generalize

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.888832Z

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=2026-08-07T23:18:33.149562Z digest=sha256:cfece61831130fe961c9bfc6acb13ffcf14a44e1ec2dea90ccfc05b817760703

Observation 368fc223-861d-4fdb-9332-0575c7bdf9e5 · outbound

This paper cites Deepfake detection with spatio-temporal con- sistency and attention.

Dynamic watermarks in images generated by diffusion models Deepfake detection with spatio-temporal con- sistency and attention

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.873978Z

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 5b9b8455-4015-4562-a8ae-46a7b8639bce · outbound

This paper cites A statistical image realism score for deepfake detection.

Dynamic watermarks in images generated by diffusion models A statistical image realism score for deepfake detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.858853Z

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=2026-08-07T23:18:33.158867Z digest=sha256:f99b8d802ba480d9345f93c8a0c0d828f1fb467dbe51af2eef5714373f2c5b7b

Observation 06f99542-d4c4-4715-81da-3725e762754c · outbound

This paper cites Image Watermarking of Generative Diffusion Models.

Dynamic watermarks in images generated by diffusion models Image Watermarking of Generative Diffusion Models

Reference 8

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unresolved
no resolver link, observed 2026-08-07T23:18:33.163138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.163138Z digest=sha256:b372ae42a2ad448165a38594cec396cd7b7ce450b013ab76e6142b005caed2e8

Observation 6cf57a08-2dc0-476b-a452-e87624a33961 · outbound

This paper cites Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection.

Dynamic watermarks in images generated by diffusion models Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.843799Z

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=2026-08-07T23:18:33.167966Z digest=sha256:61286faf4eb9ae187fc23634b8f838bf17c2cad3d2f87ae7cb1e04cbca81ad71

Observation b640a927-dc40-42af-bfa6-058549a966ce · outbound

This paper cites The contourlet transform: an efficient directional multiresolution image representation.

Dynamic watermarks in images generated by diffusion models The contourlet transform: an efficient directional multiresolution image representation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.827074Z

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 c1fb775f-ef5c-4db1-b27a-1e51cf04d371 · outbound

This paper cites Supervised gan watermarking for intellectual property pro- tection.

Dynamic watermarks in images generated by diffusion models Supervised gan watermarking for intellectual property pro- tection

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.630399Z

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=2026-08-07T23:18:33.177224Z digest=sha256:ad64c3fdf589ddfa574889f14172b741ad8b328372d53be1529d47f1e853189e

Observation fed20b6b-6ebd-424c-a438-8c5ab2a092de · outbound

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

Dynamic watermarks in images generated by diffusion models The stable signature: Rooting watermarks in latent diffusion models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.481215Z

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=2026-08-07T23:18:33.181760Z digest=sha256:e268a8175feab8dfe04c02088c71898c5c46a8590714c91a0922c97756e437da

Observation a243c590-3efa-46eb-9bb0-3d9171e6ea32 · outbound

This paper cites Huffman coding based encoding techniques for fast dis- tributed deep learning.

Dynamic watermarks in images generated by diffusion models Huffman coding based encoding techniques for fast dis- tributed deep learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.370428Z

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=2026-08-07T23:18:33.186004Z digest=sha256:89604d737827d03b05eee1226339181edbd109044f6fa5039226ec453100146a

Observation 47b05e83-367e-42f9-8a7f-6ebdf1fe84a3 · outbound

This paper cites Practical markov chain monte carlo.

Dynamic watermarks in images generated by diffusion models Practical markov chain monte carlo

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.355805Z

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=2026-08-07T23:18:33.190604Z digest=sha256:846bd2d93646aef3ebdedf474bc8c3b981be4ce55344776d3fcbc235365b508f

Observation 14a66e08-c3c7-4fb1-8141-571ecaa42005 · outbound

This paper cites Are gan generated im- ages easy to detect? a critical analysis of the state-of-the-art.

Dynamic watermarks in images generated by diffusion models Are gan generated im- ages easy to detect? a critical analysis of the state-of-the-art

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.341184Z

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=2026-08-07T23:18:33.194957Z digest=sha256:8d4ee7ac4a1d6d6f13a2123c3322f8fe9e63b811d0b71aba118446dac053e654

Observation ce8d54f2-5118-48a1-87cd-2410f8c9774e · outbound

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

Dynamic watermarks in images generated by diffusion models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.324730Z

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=2026-08-07T23:18:33.199571Z digest=sha256:003628fbfb4ff8b6e737ed04bc752cb2a653c07fddc0c820ae490784855f43f1

Observation 807245b5-5de7-40f9-9d4d-6d9295ff92bf · outbound

This paper cites Hidden digital watermarks in images.

Dynamic watermarks in images generated by diffusion models Hidden digital watermarks in images

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.308539Z

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=2026-08-07T23:18:33.203718Z digest=sha256:99a29f8bc16d35e97c7ebafd135b26fdecd626587f08f60ec12b93be65af4ab7

Observation 6d61bee9-e5cc-46fe-8345-f4ef30b53ff4 · outbound

This paper cites an unresolved cited work.

Dynamic watermarks in images generated by diffusion models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:18:34.292460Z

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=2026-08-07T23:18:33.208080Z digest=sha256:ce7991869203c5ca53c147ddb072b2c8e767e86760154ca5772a395866ffbde4

Observation 82eca9e6-a3da-4575-a5da-bf534752cfa5 · outbound

This paper cites A simplified and robust dct-based watermarking algorithm.

Dynamic watermarks in images generated by diffusion models A simplified and robust dct-based watermarking algorithm

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.277680Z

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=2026-08-07T23:18:33.212153Z digest=sha256:6fd367acaeacc6ac200862b6d5bdd0a4fafcfbe65c2ebbf138ec76581f541adb

Observation 7dedf3c8-c96f-43b5-9826-b0e461c9d1f8 · outbound

This paper cites CycleGANWM: A CycleGAN watermarking method for ownership verification.

Dynamic watermarks in images generated by diffusion models CycleGANWM: A CycleGAN watermarking method for ownership verification

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:18:33.602874Z

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=2026-08-07T23:18:33.216506Z digest=sha256:1297357d8785897cb79e8036f0539e7034ff632e38eb5f2da7b7450330c2083c

Observation e81b7ca2-74af-429a-bbd8-404cd368dd0b · outbound

This paper cites Huffman coding.

Dynamic watermarks in images generated by diffusion models Huffman coding

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.184849Z

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=2026-08-07T23:18:33.221334Z digest=sha256:f06f2e85144e3e114fd3fb44bf3676f0a78dda24e60e4245c7aeae2f8b093581

Observation cd2a46c4-a0f4-4f5e-9ae2-52259f7e7dac · outbound

This paper cites Semantic cosine similarity.

Dynamic watermarks in images generated by diffusion models Semantic cosine similarity

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:34.079596Z

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=2026-08-07T23:18:33.225270Z digest=sha256:0a88596ea1cbee7fb118b241d01c9255771943ac830f43b28a77c48c6d399eda

Observation 3f0430b3-a23d-40a8-9fb9-abfc594e3682 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Dynamic watermarks in images generated by diffusion models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T23:18:33.229176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.229176Z digest=sha256:7ab934880d20ed38d743555722c2d95a7a41b0761f4b9b402ea9adafee9ccbb6

Observation 8c063855-2bfa-443a-ac19-cb90bbdc8f40 · outbound

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

Dynamic watermarks in images generated by diffusion models High-resolution image syn- thesis with latent diffusion models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:33.944795Z

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=2026-08-07T23:18:33.261500Z digest=sha256:b8864c1d58685ea5e0ba12926885a5807ef4e14b6ccd2e53929ac5e64824c1aa

Observation 7ea22b96-bac5-4ebf-810e-510d59a2e30d · outbound

This paper cites Improved techniques for training gans.

Dynamic watermarks in images generated by diffusion models Improved techniques for training gans

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:33.928934Z

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=2026-08-07T23:18:33.387589Z digest=sha256:4f0b4d6e98710fa7e09b28b65cd7b415e32847324cf431bffc2bf23f792b97b0

Observation aa5a2ba2-cedb-4e9c-8fd7-b9acacb74915 · outbound

This paper cites Cnn-generated images are surprisingly easy to spot.

Dynamic watermarks in images generated by diffusion models Cnn-generated images are surprisingly easy to spot

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:33.915067Z

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=2026-08-07T23:18:33.492783Z digest=sha256:49542993867a26d8dce0ffdf851e5aa7eae808b743a93a983e6362ba1c97d171

Observation 21649178-30af-428e-81de-87114c313495 · outbound

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

Dynamic watermarks in images generated by diffusion models Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T23:18:33.504715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.504715Z digest=sha256:4dd5713ceeb6533e6c94c73d31880567c4b4da961b7dc2b0f3e1b2b7b21f2cd1

Observation 2b3d35cb-2488-4524-993d-1506d5d2cef5 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Dynamic watermarks in images generated by diffusion models Adding Conditional Control to Text-to-Image Diffusion Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T23:18:33.511372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:18:33.511372Z digest=sha256:68cfd8f92a3aa158169012f0d368d45337407578686d0414f25fc0a2620ca11c

Observation 44fd0ecd-94cf-4791-9683-9aa811585b6f · outbound

This paper cites Hype: human-eye perceptual evaluation of generative models.

Dynamic watermarks in images generated by diffusion models Hype: human-eye perceptual evaluation of generative models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:33.898607Z

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=2026-08-07T23:18:33.516652Z digest=sha256:ed911bd09f1df7fd8889a821494f5262bdf21e7cb15b908774752f3d71311c1c

Observation fe620f55-76d4-4e54-8194-0f0a49c47ef8 · outbound

This paper cites More Watermark Extraction Results Figure 4.

Dynamic watermarks in images generated by diffusion models More Watermark Extraction Results Figure 4

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:18:33.714457Z

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=2026-08-07T23:18:33.522244Z digest=sha256:c911e7975452fb2f719da65572164751d136997baa69086e97def548cb60bc40

Pith citing papers

No inbound Pith citation observations are available.