Paper Citation Record · LEDGER

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 3 inbound Pith citation observations for arXiv:2506.11444.

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

pith.paper-citation-record.v1
2506.11444 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:14:27.072898Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T22:58:40.800367Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T04:58:05.146223Z

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 418ce715-581f-4eff-96ab-9193a55a58c0 · outbound

This paper cites com/CA/text/AB3211/id/2984195.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models com/CA/text/AB3211/id/2984195

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:14:27.264744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e204b3b3-0927-4f07-b4e6-7037777832ae · outbound

This paper cites Accessed: 2024-09-24.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Accessed: 2024-09-24

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:28.221780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33b6376e-dde1-4fb1-aa91-aed09a38d1f5 · outbound

This paper cites UnMarker: A Universal Attack on Defensive Image Watermarking.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models UnMarker: A Universal Attack on Defensive Image Watermarking

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:14:26.752672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b24728-84c6-43b4-a4f3-fb0958c1050b · outbound

This paper cites Advanced Attacks Compression Attack.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Advanced Attacks Compression Attack

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:27.938122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfd61057-c58d-4053-a71e-53f79d8d5916 · outbound

This paper cites Compared to Stable Signature, LaWa is more robust to image modifications and can handle mul- tiple users for one image generation service.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Compared to Stable Signature, LaWa is more robust to image modifications and can handle mul- tiple users for one image generation service

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:28.023796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 510bd231-ac7e-48c1-b0a4-a7197f470c7a · outbound

This paper cites an unresolved cited work.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:14:27.402490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8bdab10-8584-4f67-9a79-57412a63a6f2 · outbound

This paper cites Specifically, the watermarked image will undergo multiple cycles of noising and be denoised through this pre-trained diffusion model for regeneration.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Specifically, the watermarked image will undergo multiple cycles of noising and be denoised through this pre-trained diffusion model for regeneration

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:27.574891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa649a26-9370-47c1-abbe-708a59ec3176 · outbound

This paper cites Watermarking Diffusion Model.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Watermarking Diffusion Model

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T04:14:26.802440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40fa38b-906c-4dc4-abec-d162da0d8281 · outbound

This paper cites Regeneration Attack.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Regeneration Attack

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:27.732606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 392fb7a1-b31a-4d6e-b4fb-e4cbd86f571d · outbound

This paper cites Artificial Intelligence Act: Regu- lation (EU) 2024/1689 of the European Parliament and of the Council, June.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Artificial Intelligence Act: Regu- lation (EU) 2024/1689 of the European Parliament and of the Council, June

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:28.407767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf70ff70-560e-41cf-a72b-118527d1a14b · outbound

This paper cites They construct a dataset containing the pair of watermarked prompts and the watermarked images, as well as the clean prompts and the clean images for fine-tuning LDM.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models They construct a dataset containing the pair of watermarked prompts and the watermarked images, as well as the clean prompts and the clean images for fine-tuning LDM

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:14:28.138808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bce4f937-1bbc-4a15-b28d-2b2cfefb6605 · outbound

This paper cites Variational image compression with a scale hyperprior.

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Variational image compression with a scale hyperprior

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:14:26.536223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7bbe814c-237f-4dac-a7f3-e3da042bde70 · inbound

RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing cites this paper.

RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing GaussMarker: Robust Dual-Domain Watermark for Diffusion Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:33:44.623201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee806777-d647-4b99-8bfb-389dd8b1d8c4 · inbound

High-Rate Public-Key Pseudorandom Codes for Edit Errors cites this paper.

High-Rate Public-Key Pseudorandom Codes for Edit Errors GaussMarker: Robust Dual-Domain Watermark for Diffusion Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.149527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23692666-903e-4c95-a97f-244a9c96ea0b · inbound

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models cites this paper.

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models GaussMarker: Robust Dual-Domain Watermark for Diffusion Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T22:58:40.800367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.