Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:18:33.522244Z
Paper Citation Record · LEDGER
Dynamic watermarks in images generated by diffusion models
As of 20 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:18:33.066964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:18:33.138406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- 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 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- 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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:18:33.163138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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.
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.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.