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Paper Citation Record · LEDGER

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects

As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2412.02803.

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

pith.paper-citation-record.v1
2412.02803 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:02.483642Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:42:27.093287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:36:04.610353Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0789957-4d87-4dc5-9933-5897d8f0c76a · outbound

This paper cites an unresolved cited work.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:10:02.790506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.396260Z digest=sha256:f7f49fd7675e27e1d3639a7a27d0da3794259e864c17bb561bdbec2bfaab74e8

Observation 70ebec24-7b2e-42f6-9239-99f6bf9c4390 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Explaining and Harnessing Adversarial Examples

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.402572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.402572Z digest=sha256:134ccae4269fcda6958ff6d4fa9456305d35866c03eddeaf370e0461e1ae98d3

Observation 49d97957-766f-429e-b3cc-25443fee80a8 · outbound

This paper cites 2023 Kerbl , Bernhard ; Kopanas , Georgios ; Leimk \"u hler , Thomas ; Drettakis , George: 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects 2023 Kerbl , Bernhard ; Kopanas , Georgios ; Leimk \"u hler , Thomas ; Drettakis , George: 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:10:02.773366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.408481Z digest=sha256:1e13f82d29d69f2b32c5ede3051523c5385b362364b296b6a307b4a5df262105

Observation 06b84f53-5f84-44ec-9dba-a263898e8c8c · outbound

This paper cites 2024 Kim , Yeseung ; Kim , Dohyun ; Choi , Jieun ; Park , Jisang ; Oh , Nayoung ; Park , Daehyung: A survey on integration of large language models with intelligent robots.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects 2024 Kim , Yeseung ; Kim , Dohyun ; Choi , Jieun ; Park , Jisang ; Oh , Nayoung ; Park , Daehyung: A survey on integration of large language models with intelligent robots

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.413793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.413793Z digest=sha256:ba094ea74ea39418096e541529ded5c0fbae93ab044125feea9b54b6fb11e983

Observation 01ae6bb6-8aa2-4c27-90ab-34a8fd134e4b · outbound

This paper cites 2023 Kirillov , Alexander ; Mintun , Eric ; Ravi , Nikhila ; Mao , Hanzi ; Rolland , Chloe ; Gustafson , Laura ; Xiao , Tete ; Whitehead , Spencer ; Berg , Alexander C.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects 2023 Kirillov , Alexander ; Mintun , Eric ; Ravi , Nikhila ; Mao , Hanzi ; Rolland , Chloe ; Gustafson , Laura ; Xiao , Tete ; Whitehead , Spencer ; Berg , Alexander C

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:10:02.756464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.419626Z digest=sha256:786b543a06a37c01acefa44fcaf85c9e32076f728bababfae4e8b29b8852af95

Observation 7393a93f-a51e-4836-83e6-b053aa727ecc · outbound

This paper cites Vision-Language Intelligence: Tasks, Representation Learning, and Large Models.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Vision-Language Intelligence: Tasks, Representation Learning, and Large Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.425413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.425413Z digest=sha256:df59b1200f7e7c15df7b91a64cb5e47c9e42d4e78f77876b949b41f2ae0e5153

Observation 7f675aba-0d23-49b9-9ee1-db7f0b764671 · outbound

This paper cites 2024 Li , Yanjie ; Xie , Bin ; Guo , Songtao ; Yang , Yuanyuan ; Xiao , Bin: A survey of robustness and safety of 2d and 3d deep learning models against adversarial attacks.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects 2024 Li , Yanjie ; Xie , Bin ; Guo , Songtao ; Yang , Yuanyuan ; Xiao , Bin: A survey of robustness and safety of 2d and 3d deep learning models against adversarial attacks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:10:02.740664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.431202Z digest=sha256:6d01e9c9b512fdc4052494b14a24d34b0a9fd565adb808d4e922261e827fcc21

Observation 67760758-b853-4104-b906-91676dea9698 · outbound

This paper cites 2018 Madry , Aleksander ; Makelov , Aleksandar ; Schmidt , Ludwig ; Tsipras , Dimitris ; Vladu , Adrian: Towards deep learning models resistant to adversarial attacks.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects 2018 Madry , Aleksander ; Makelov , Aleksandar ; Schmidt , Ludwig ; Tsipras , Dimitris ; Vladu , Adrian: Towards deep learning models resistant to adversarial attacks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:10:02.723829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.436367Z digest=sha256:4dd3a937b83c8c4dfe5df351e613f711ba0e8af82cfdadc380e1978c5a510ea8

Observation 247e1ffa-03dd-434f-a897-f8354f7f5de9 · outbound

This paper cites an unresolved cited work.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:10:02.705778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.441917Z digest=sha256:0a4b7a09306d79c0e9aa8944987855c0c05acd1db9a3ec142419f10d790f20a0

Observation 9298f2c7-4163-47ee-b058-4ad54e332fd4 · outbound

This paper cites Frahm , Jan-Michael: Structure-From-Motion Revisited.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Frahm , Jan-Michael: Structure-From-Motion Revisited

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:10:02.686546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.446772Z digest=sha256:e68c2e18e548e773b5e74ab72eaa4c08b85c7c2d71bbe60711661ac78c78b5a5

Observation 9c4dbb40-1b0e-4b8f-8b05-02e2239a2525 · outbound

This paper cites an unresolved cited work.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:10:02.668896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.452081Z digest=sha256:86659d4dddee6b6ee932a43358411fb69fe2024211e96a0dd71738659a0740fd

Observation dcb5b1db-aae6-4c89-adb5-e4244e415820 · outbound

This paper cites Intriguing properties of neural networks.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Intriguing properties of neural networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.456939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.456939Z digest=sha256:6996365be9811a7e5ab9f3fa8231e67ee3ccecee7cad531a5645ecae63416c6f

Observation 30c8bec9-fa2a-48df-bb68-434ffbc160e2 · outbound

This paper cites an unresolved cited work.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:10:02.651579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.462961Z digest=sha256:ace5ed09d0f6efb5a1b04524d6673534fd1a9afa6d7b32354fed62d72fe648c8

Observation 8b1bb246-9af6-4723-b3d2-a9f3cb55ee3e · outbound

This paper cites 2019 Zhao , Zhong-Qiu ; Zheng , Peng ; Xu , Shou-tao ; Wu , Xindong: Object detection with deep learning: A review.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects 2019 Zhao , Zhong-Qiu ; Zheng , Peng ; Xu , Shou-tao ; Wu , Xindong: Object detection with deep learning: A review

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:10:02.634799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.468549Z digest=sha256:23ba07da4a26b6ab05261f26126c7001be75189cad587dfd94a08e8dd2203d50

Observation fcce506a-90db-4336-9f74-acb8f5ea5cd4 · outbound

This paper cites Vision Language Models in Autonomous Driving: A Survey and Outlook.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.473382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.473382Z digest=sha256:b2f8b00d115a78db65166b2a57d23b667540b10c805498202a91c1dabe7b45d2

Observation a252751e-fb4d-4cb3-a5d5-6fb3f4bd7d48 · outbound

This paper cites an unresolved cited work.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:10:02.616585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T23:10:02.478749Z digest=sha256:7c0ac50cff2888849f4cb0e666c88412a7142e7e51244befbe16ba684552487e

Observation c4125131-66d5-4c5d-b393-4c1ba0693216 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:02.483642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:10:02.483642Z digest=sha256:740b5335114fac0320d9705741f3064b0dab2f0451d9d89713d52e277d9e0424

Pith citing papers

Observation 76b45b32-be99-414b-a64e-d92f9058b8f8 · inbound

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering cites this paper.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T21:42:27.093287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:42:27.093287Z digest=sha256:7e03513479f37e531dd546c24223ddbd12bcc83e57b24ff3577c53a2eb3afd49

Observation 46e0b038-4b87-4e26-b331-a217f8030c1b · inbound

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

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:04.623350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T15:24:57.329264Z digest=sha256:c0269cc703df22857aa3b470ca2f0fae29f31747797c45fb2045a7c5a89d2ef3

Observation 5c66de06-98fa-4ac3-b55d-2645328fa8a3 · inbound

3D FaceShell: Attribute Transfer in 3D Face Avatars as a VLM Defense Mechanism cites this paper.

3D FaceShell: Attribute Transfer in 3D Face Avatars as a VLM Defense Mechanism Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T07:51:50.212470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:51:50.212470Z digest=sha256:661cde1b7aa14d7e1bd161086d078b627d4d0a8ac0435d29acaa4474d68de0d0