Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:02.483642Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:10:02.483642Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T21:42:27.093287Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:36:04.610353Z
17 of 17 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c0789957-4d87-4dc5-9933-5897d8f0c76a · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work
Reference 1
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.
Observation 70ebec24-7b2e-42f6-9239-99f6bf9c4390 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Explaining and Harnessing Adversarial Examples
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49d97957-766f-429e-b3cc-25443fee80a8 · outbound
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
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.
Observation 06b84f53-5f84-44ec-9dba-a263898e8c8c · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01ae6bb6-8aa2-4c27-90ab-34a8fd134e4b · outbound
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
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.
Observation 7393a93f-a51e-4836-83e6-b053aa727ecc · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Vision-Language Intelligence: Tasks, Representation Learning, and Large Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f675aba-0d23-49b9-9ee1-db7f0b764671 · outbound
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
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.
Observation 67760758-b853-4104-b906-91676dea9698 · outbound
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
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.
Observation 247e1ffa-03dd-434f-a897-f8354f7f5de9 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work
Reference 9
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.
Observation 9298f2c7-4163-47ee-b058-4ad54e332fd4 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Frahm , Jan-Michael: Structure-From-Motion Revisited
Reference 10
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.
Observation 9c4dbb40-1b0e-4b8f-8b05-02e2239a2525 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work
Reference 11
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.
Observation dcb5b1db-aae6-4c89-adb5-e4244e415820 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Intriguing properties of neural networks
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30c8bec9-fa2a-48df-bb68-434ffbc160e2 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work
Reference 13
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.
Observation 8b1bb246-9af6-4723-b3d2-a9f3cb55ee3e · outbound
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
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.
Observation fcce506a-90db-4336-9f74-acb8f5ea5cd4 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Vision Language Models in Autonomous Driving: A Survey and Outlook
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a252751e-fb4d-4cb3-a5d5-6fb3f4bd7d48 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Unresolved cited work
Reference 16
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.
Observation c4125131-66d5-4c5d-b393-4c1ba0693216 · outbound
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Universal and Transferable Adversarial Attacks on Aligned Language Models
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76b45b32-be99-414b-a64e-d92f9058b8f8 · inbound
DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46e0b038-4b87-4e26-b331-a217f8030c1b · inbound
PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects
Reference 18
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.
Observation 5c66de06-98fa-4ac3-b55d-2645328fa8a3 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.