Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:20:46.404130Z
Paper Citation Record · LEDGER
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models
As of 15 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.08999.
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 2026-08-15T06:32:42.880941+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
12 of 12 outbound references displayed
- verified exact1
- verified fuzzy7
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 67c21ee9-52b0-4a39-a0de-761fed9f2a33 · outbound
This paper cites High-resolution image synthesis with latent diffusion models,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models High-resolution image synthesis with latent diffusion models,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.701530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 77a73387-cfea-4e11-81e5-4a99e9a62b9a · outbound
This paper cites Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.678056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 72a75d52-bfe9-4630-a5f0-e825b7a5cfaa · outbound
This paper cites Latent diffusion models for image watermarking: A review of recent trends and future directions,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Latent diffusion models for image watermarking: A review of recent trends and future directions,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.650396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 89cf8929-0848-4fd1-a570-914c5babf5a1 · outbound
This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:20:46.354625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68e58dd2-756c-407f-9900-de0b27c9fab3 · outbound
This paper cites METR: Image Watermarking with Large Number of Unique Messages.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models METR: Image Watermarking with Large Number of Unique Messages
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T04:20:46.498841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 42fa2126-5536-41c1-b4d3-7e7c3988ad0c · outbound
This paper cites Ringid: Rethinking tree-ring watermarking for enhanced multi- key identification,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Ringid: Rethinking tree-ring watermarking for enhanced multi- key identification,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.627926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 99588ead-58f3-441d-8fcb-94cf43de3e24 · outbound
This paper cites Semantic watermarking reinvented: Enhancing robustness and generation quality with fourier integrity,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Semantic watermarking reinvented: Enhancing robustness and generation quality with fourier integrity,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.607351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7ec01a8f-75b8-4565-abd3-6e9efa8ab0bd · outbound
This paper cites Denoising diffusion implicit models,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Denoising diffusion implicit models,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:20:46.379631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 170a9fa9-c92c-4b9e-a9a2-b52e729cedc3 · outbound
This paper cites Learned image compression with discretized gaussian mixture likelihoods and attention modules,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Learned image compression with discretized gaussian mixture likelihoods and attention modules,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.561922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0ae266d3-118a-46e6-b2e8-0e802bf11913 · outbound
This paper cites Variational image compression with a scale hyperprior.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Variational image compression with a scale hyperprior
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:20:46.393076Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6d4fdb0-d224-4ed1-bf90-b4fd1abd81e4 · outbound
This paper cites Invisible image watermarks are provably removable using generative ai,.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models Invisible image watermarks are provably removable using generative ai,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:20:46.541744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 39afcd9d-16a3-42bd-bb5f-b0661ccce81a · outbound
This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:20:46.404130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.