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Paper Citation Record · LEDGER

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2412.05695.

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

pith.paper-citation-record.v1
2412.05695 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:31:00.756093Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:25:07.404351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:36:04.574802Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fc27daf-440d-451b-baef-bd24d94d8780 · outbound

This paper cites Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:31:01.401712Z

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.

source=pdf_text observed=2026-08-11T20:31:00.671946Z digest=sha256:933b71a8789eb8995f7039b49550d70d6c0ee0715d40b84bf78ae106698e4ec5

Observation b3b95e64-df43-46cc-adef-acf40d5e72b9 · outbound

This paper cites URL http://dx.doi.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http://dx.doi

Reference 6

Resolution
verified exact
doi, observed 2026-08-11T20:31:00.837135Z

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.

source=pdf_text observed=2026-08-11T20:31:00.700294Z digest=sha256:e179642e0ae1eccb503ba30887f29ef121dd279e7d06e38cb9db9d3c29c713a6

Observation 7fa3bdbd-801b-45e6-b1f3-89feba02e546 · outbound

This paper cites URL http://dx.doi.org/10.1177/1550147719826042.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http://dx.doi.org/10.1177/1550147719826042

Reference 7

Resolution
verified exact
doi, observed 2026-08-11T20:31:00.820379Z

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.

source=pdf_text observed=2026-08-11T20:31:00.705883Z digest=sha256:a236dc9bf283f27cb584bd94cf0345d4812a5493372938ac6f48cedbe82ad3f9

Observation 15db01c3-e146-4716-b357-59222f1da843 · outbound

This paper cites URL http://dx.doi.org/10.1109/iccv48922.2021.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http://dx.doi.org/10.1109/iccv48922.2021

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.677789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.677789Z digest=sha256:6bad378796172036dd2aa53e970961dc2fc20df111376bfb558106cb8e26bf63

Observation bcdf70f1-3a93-4146-8837-ffe07ee38263 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.720991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.720991Z digest=sha256:fc859ec505550ee8e9268c4f0405c38c38db9f5c5ef91e5169e3e9f980c8dacf

Observation 158ef6c4-a85c-41bb-a7a2-e28c5c7340ba · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking A Recipe for Watermarking Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.743451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.743451Z digest=sha256:06c8c3ba28154eb97b277f41bab46804d4aced942d4e224814dd40862bb99f45

Observation 097a7172-0f79-4eed-9c9e-6688c5197089 · outbound

This paper cites Concatenating Watermarks with Attributes.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking Concatenating Watermarks with Attributes

Reference 16

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T20:31:01.347730Z

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.

source=pdf_text observed=2026-08-11T20:31:00.756093Z digest=sha256:115227161025abfa2cf275d0843f1c418413e2561cd89db687a7f4a9e1ddfe7d

Observation 39398b77-5a6c-43df-8acc-25eebd563e73 · outbound

This paper cites URL http://dx.doi.org/10.1145/311535.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http://dx.doi.org/10.1145/311535

Reference 1999

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.716198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.716198Z digest=sha256:6227858fa5e0b169a220032738088d71a789aff091a5a5f3c9a08f193cc7b82e

Observation 857b2610-40ff-4903-9662-7e144d04ab48 · outbound

This paper cites We use the network architecture proposed by HiDDeN (Zhu et al., 2018).

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking We use the network architecture proposed by HiDDeN (Zhu et al., 2018)

Reference 2001

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:31:01.368702Z

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.

source=pdf_text observed=2026-08-11T20:31:00.748992Z digest=sha256:3185313c407e058ffa3ad4f46a82a7519c0ed97de3b188296ef5fbcdcd94087e

Observation f4e87820-12ba-4548-b41c-bdc5525e5f3d · outbound

This paper cites URL http://dx.doi.org/10.1111/1467-8659.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http://dx.doi.org/10.1111/1467-8659

Reference 2002

Resolution
verified exact
doi, observed 2026-08-11T20:31:00.802142Z

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.

source=pdf_text observed=2026-08-11T20:31:00.710886Z digest=sha256:a8f3a1509f5ada9ee0f0b4252062a3a2ec92ef3c292cf81ec1b0c4f3ada5fdbc

Observation 745efa46-bb20-4537-bbdd-f32508e9fa75 · outbound

This paper cites Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.726755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.726755Z digest=sha256:db6a7a79e85b017c588bf1707736ccc2e8447191081e338e492abb089b9e2e80

Observation bc532748-a52e-4ca9-a8cf-49b794df8390 · outbound

This paper cites URL http: //dx.doi.org/10.1098/rsta.2015.0202.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http: //dx.doi.org/10.1098/rsta.2015.0202

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.689250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.689250Z digest=sha256:0a228f841c525a4c79ec09d60d5a14107b0df39c0f25f6cb7f610e4c45315304

Observation 2c81b786-5d68-4a6e-b947-1d2e6410763f · outbound

This paper cites URL http://dx.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking URL http://dx

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.737938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.737938Z digest=sha256:faff7c580764a719607babd0c3b40b6378506f9929cb445d49bee641f7c5f9b0

Observation 39bfc6f8-2ed2-4c88-9653-80a76eb2a975 · outbound

This paper cites Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T20:31:01.216685Z

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.

source=pdf_text observed=2026-08-11T20:31:00.683645Z digest=sha256:a757e57c362cce432df540f4f32a0d9d7dc9f2cc929bfc1504107242d6f01108

Observation 0bfd5279-7e31-4f75-a508-6d49b2e095c2 · outbound

This paper cites Microsoft coco: Common objects in context.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking Microsoft coco: Common objects in context

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.694901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.694901Z digest=sha256:e97bc9dc4209b0376d99cf55fc81a9ea75dd342b33c1fa1335e36742dc485dbc

Observation bf88261e-4194-48dd-9daa-b581dcd8f69c · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T20:31:00.732049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:00.732049Z digest=sha256:33974ab9cb0a2add8632f7021fe3c34b2b7ccb20b44e1751986d04dedb513601

Pith citing papers

Observation 7a4c55b7-71a7-4f01-a5c9-9bc8c838ffdd · inbound

GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion cites this paper.

GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T05:25:07.404351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:25:07.404351Z digest=sha256:3f03b67c3dd5fb84e9a9091965367f283dd261c095390a5d4eee40108ee516d9

Observation e0d1decd-b081-4a2e-a8d2-5bd8a6686b8e · inbound

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction cites this paper.

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:04.593899Z

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.

source=pdf_text observed=2026-05-10T15:24:57.329264Z digest=sha256:93994be3f6cf7157217f3e2f8f44bd2ec3f51c239c1518944a22b8f81e0c6529