Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T08:02:37.135363Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.02643.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T08:02:37.135363Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 36f4828e-ab96-4b44-ac76-ef33ad52a209 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Symmetry17(7) (2025).https://doi.org/10.3390/sym17071094,https://www.mdpi.com/2073- 8994/17/7/1094, accessed: 25 Jun
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 367ebf2c-af1f-4f81-8520-644e88a7193a · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models RoSteALS: Robust Steganography using Autoencoder Latent Space
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d871723a-8a6b-4c66-b70a-d2e8af3fff22 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models WMAdapter: Adding WaterMark Control to Latent Diffusion Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 934a6340-cfe8-4003-b59b-bce6c5beea40 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models On the detection of synthetic images generated by diffusion models
Reference 4
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Unavailable: canonical work link unavailable.
Observation 13c56845-4268-4e88-bc24-5c76a6342dd5 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models The Morgan Kaufmann Series in Multimedia Information and Systems, Morgan Kaufmann (2007),https://books.google.co.in/books?id= JZQLpzihtecC, accessed: 25 Jun
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ee5af6d-fa97-4638-afce-9760ca8d9f9d · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89fb3b7b-6a70-4d1f-ba2c-86606b8e381f · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Unresolved cited work
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebef6321-043e-4a76-9522-3ea8e5030452 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Deep Residual Learning for Image Recognition
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77a1f16d-368d-4d92-b09f-4f8c3f856b10 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Denoising Diffusion Probabilistic Models
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19f6632b-d4bc-432f-88a5-f9092041852b · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models In: Multimedia Information Retrieval (2008),https://api.semanticscholar.org/CorpusID: 14040310, accessed: 25 Jun
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cd1f91d-1c44-4856-bcf9-0ad5b1061c1d · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Auto-Encoding Variational Bayes
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2ecdc41-44fc-4093-868b-19aad922f491 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Unresolved cited work
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b921edab-e882-44a5-9a5b-94928522c332 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Decoupled Weight Decay Regularization
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ed9c762-3ddc-4d71-b357-8d57136c1877 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models FiLM: Visual Reasoning with a General Conditioning Layer
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfbde2cf-d1b1-4a53-8c55-d66baafd1e67 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Unresolved cited work
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c40a858-d01a-40fd-b2b0-4dc57308de01 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models LaWa: Using Latent Space for In-Generation Image Watermarking
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10cbc452-1d46-47dd-b3c6-c1f385c0112d · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models High-Resolution Image Synthesis with Latent Diffusion Models
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bcaedac-3c36-412e-8d4f-cc81cbeae587 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Denoising Diffusion Implicit Models
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac5be19a-add3-4170-9ce2-cf4bdcb4a92d · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models for now (2020),https://arxiv.org/abs/1912
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc40d07d-95f9-4325-84a6-bae9e113fe3b · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models IEEE Transactions on Image Processing13, 600–612 (2004),https://api.semanticscholar.org/CorpusID: 207761262, accessed: 25 Jun
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fa09745-d45f-4c7e-a488-a9cd08a2cac9 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b7ad79b-40c7-4955-82ab-ae6c3d019445 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Journal of Polytechnic (2023),https://api.semanticscholar.org/CorpusID: 256484136, accessed: 25 Jun
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 333a1041-a5b0-4b68-9998-1585216de981 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models Robust Invisible Video Watermarking with Attention
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0682fc86-4c69-40de-84e7-ca4902a749f9 · outbound
BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models HiDDeN: Hiding Data With Deep Networks
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.