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Paper Citation Record · LEDGER

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering

As of 22 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2602.19323.

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

pith.paper-citation-record.v1
2602.19323 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:42:27.336298Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • malformed identifier1
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External citation measurements

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Outbound references

Observation aa7447af-c32a-43e3-8371-4e4991626267 · outbound

This paper cites Square attack: a query-efficient black-box adversarial attack via random search.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Square attack: a query-efficient black-box adversarial attack via random search

Reference 1

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Observation f6ec5333-2a24-4b81-8fb4-b8c1cd4dc82e · outbound

This paper cites 3d gaussian splatting: Survey, technologies, challenges, and opportunities.IEEE Transactions on Circuits and Systems for Video Technology,.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering 3d gaussian splatting: Survey, technologies, challenges, and opportunities.IEEE Transactions on Circuits and Systems for Video Technology,

Reference 2

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Observation 68e4f7a8-5c8e-44f9-858f-a5722bcd56ba · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

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Observation b82a13a1-f899-4670-9941-847da6de95d0 · outbound

This paper cites Structure-aware sparse-view x-ray 3d re- construction.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Structure-aware sparse-view x-ray 3d re- construction

Reference 4

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Observation 4a2768a5-fa3b-435f-b67f-9e8a69e0a675 · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Superpoint: Self-supervised interest point detection and description

Reference 5

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Observation a5214357-f32e-4bd5-8922-322eb78458cd · outbound

This paper cites Pearson edu- cation india, 2009.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Pearson edu- cation india, 2009

Reference 6

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Observation a73b4c76-f4ca-4264-8752-5a1103679d9f · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Explaining and Harnessing Adversarial Examples

Reference 7

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Observation 8c7410d5-c52c-4869-aaf6-e925962350aa · outbound

This paper cites Splatad: Real-time li- dar and camera rendering with 3d gaussian splatting for au- tonomous driving.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Splatad: Real-time li- dar and camera rendering with 3d gaussian splatting for au- tonomous driving

Reference 8

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Observation c18ec18c-d0cd-4acb-8567-13c3ddd58229 · outbound

This paper cites Deep learning low-cost photogrammetry for 4d short-term glacier dynamics moni- toring.PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2024.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Deep learning low-cost photogrammetry for 4d short-term glacier dynamics moni- toring.PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2024

Reference 9

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Observation 5625b2ad-d479-462d-9286-1f6c99b511ed · outbound

This paper cites Waterf: Robust water- marks in radiance fields for protection of copyrights.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Waterf: Robust water- marks in radiance fields for protection of copyrights

Reference 10

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Observation 5c3e2a58-17f1-46f6-ae59-f18958b4ce44 · outbound

This paper cites 3d-gsw: 3d gaussian splatting for robust watermarking.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering 3d-gsw: 3d gaussian splatting for robust watermarking

Reference 11

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Observation 7deb7d50-be42-4377-a546-84e750000cf3 · outbound

This paper cites Focal frequency loss for image reconstruction and synthesis.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Focal frequency loss for image reconstruction and synthesis

Reference 12

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Observation 0733076c-a459-4123-8c7f-12dd208d0ab5 · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Splatam: Splat track & map 3d gaussians for dense rgb-d slam

Reference 13

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Observation 4821ee33-9249-4504-b860-5b00c5e361a8 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 14

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source=pdf_text observed=2026-08-02T21:42:24.505670Z digest=sha256:ad07464f17943d05e23989d8c004675086bd6e5c6e762f9ccb63b6554f2990f0

Observation 1de5a641-74b6-4890-8166-b96414332890 · outbound

This paper cites Autosplat: Constrained gaussian splatting for autonomous driving scene reconstruction.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Autosplat: Constrained gaussian splatting for autonomous driving scene reconstruction

Reference 15

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Observation 1c2187c1-1e54-4c34-8480-e626081041e4 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4), 2017.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4), 2017

Reference 16

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Observation 722f4e14-617a-44d5-87e0-d3584167f870 · outbound

This paper cites Compact 3d gaussian representation for radiance field.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Compact 3d gaussian representation for radiance field

Reference 17

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Observation f2c571ea-c945-4ce1-9daf-1ac2e1516336 · outbound

This paper cites An effective heuristic algorithm for the traveling-salesman problem.Operations research, 21(2):498–516, 1973.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering An effective heuristic algorithm for the traveling-salesman problem.Operations research, 21(2):498–516, 1973

Reference 18

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Observation 04ce0d86-d9e4-4359-9364-5f1d1861c156 · outbound

This paper cites Lightglue: Local feature matching at light speed.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Lightglue: Local feature matching at light speed

Reference 19

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Observation cd05eb44-2df1-47fd-afa5-29e6ef0dfc0a · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 20

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Observation df621d6d-ba73-4b32-a8d2-9ad22cabb4e8 · outbound

This paper cites Darenerf: Direction-aware representation for dy- namic scenes.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Darenerf: Direction-aware representation for dy- namic scenes

Reference 21

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Observation 9712c54d-9fd3-45e8-ad2e-759d8c6b62cf · outbound

This paper cites Manigaussian: Dynamic gaus- sian splatting for multi-task robotic manipulation.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Manigaussian: Dynamic gaus- sian splatting for multi-task robotic manipulation

Reference 22

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Observation 4e77b9d2-22a9-415a-b778-05fd29b3ca7d · outbound

This paper cites Poison-splat: Computation Cost Attack on 3D Gaussian Splatting.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Poison-splat: Computation Cost Attack on 3D Gaussian Splatting

Reference 23

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Observation 34a90ec9-e1e9-4b14-a120-8ff55d11f739 · outbound

This paper cites Bard-gs: Blur-aware reconstruction of dynamic scenes via gaussian splatting.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Bard-gs: Blur-aware reconstruction of dynamic scenes via gaussian splatting

Reference 24

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Observation 14525502-0eeb-413d-b288-d35aea390ab4 · outbound

This paper cites Segment then splat: A uni- fied approach for 3d open-vocabulary segmentation based on gaussian splatting.arXiv preprint arXiv:2503.22204, 2025.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Segment then splat: A uni- fied approach for 3d open-vocabulary segmentation based on gaussian splatting.arXiv preprint arXiv:2503.22204, 2025

Reference 25

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Observation fed142e6-b0d9-49bf-96f0-d25cd9c790b7 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 26

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Observation 2631fd98-fb00-4a0e-8745-a675df29a0f9 · outbound

This paper cites Gaussian splatting slam.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Gaussian splatting slam

Reference 27

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Observation 8558a572-62b0-4e0c-b6cf-d80214bef04a · outbound

This paper cites Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Transac- tions on Graphics (ToG), 38(4):1–14, 2019.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Transac- tions on Graphics (ToG), 38(4):1–14, 2019

Reference 28

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Observation 2e4d59b2-0177-404d-8920-0a31af3937ff · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 29

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Observation 8dc4a626-772c-4809-9e8f-974134872b6a · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Deepfool: a simple and accurate method to fool deep neural networks

Reference 30

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Observation ad9102a1-dc3c-45a2-8cc2-1548544491e2 · outbound

This paper cites an unresolved cited work.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Unresolved cited work

Reference 31

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Observation 767f3627-1884-47bd-81ae-eafdf3122e41 · outbound

This paper cites Morelli, F.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Morelli, F

Reference 32

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Observation 6640e092-08bb-4658-90ca-06cadf971e98 · outbound

This paper cites Counterfactual visual explanation via causally-guided adversarial steering.arXiv preprint arXiv:2507.09881, 2025.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Counterfactual visual explanation via causally-guided adversarial steering.arXiv preprint arXiv:2507.09881, 2025

Reference 33

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Observation 8fc3450e-5a22-4d2a-8818-16da5813292f · outbound

This paper cites Global filter networks for image classification.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Global filter networks for image classification

Reference 34

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Observation 731a2756-4e3f-4afc-8682-ef0910606a5b · outbound

This paper cites Nerf- slam: Real-time dense monocular slam with neural radiance fields.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Nerf- slam: Real-time dense monocular slam with neural radiance fields

Reference 35

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source=pdf_text observed=2026-08-02T21:42:26.296067Z digest=sha256:af4a1f75e79123c6b342f865200c48daf08f0d71f5476f1fec62562d620dd5c4

Observation 3680984c-541d-4f80-9f41-5e075c837fb3 · outbound

This paper cites Language embedded 3d gaussians for open- vocabulary scene understanding.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Language embedded 3d gaussians for open- vocabulary scene understanding

Reference 36

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source=pdf_text observed=2026-08-02T21:42:26.352283Z digest=sha256:16fbd603a3b8f6f95b3198f129c2ff3c9d1457bb77c0495cb23c41f987cd7552

Observation c09b4462-d937-4908-9249-58a22ffa841d · outbound

This paper cites Neurad: Neural rendering for autonomous driving.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Neurad: Neural rendering for autonomous driving

Reference 37

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source=pdf_text observed=2026-08-02T21:42:26.453417Z digest=sha256:a50ca015c70919301682e6097fc37484f6e755f4b98128c615c872ebe2a49efc

Observation 310e4da2-7996-4e4b-aa0c-57504603287e · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 38

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source=pdf_text observed=2026-08-02T21:42:26.514432Z digest=sha256:54b03d884be01dca30507282bef0a416a9502778f34b5c05dd213a9414fba15c

Observation cb8d8686-b381-454e-add1-407b75104b9f · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering 4d gaussian splatting for real-time dynamic scene rendering

Reference 39

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source=pdf_text observed=2026-08-02T21:42:26.579601Z digest=sha256:3dbe729bbd8ff49359535fab02d242f37612acc0c25dcf10a13006348f64a18f

Observation 19d42df4-ec19-43ba-bd44-251a510060fe · outbound

This paper cites Difix3d+: Improving 3d reconstruc- tions with single-step diffusion models.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Difix3d+: Improving 3d reconstruc- tions with single-step diffusion models

Reference 40

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source=pdf_text observed=2026-08-02T21:42:26.626988Z digest=sha256:2c36671cfb7052e474f41e7bab4b9a99d006552c0ce9b837b74c266a4f75f80b

Observation 6ca9059a-57f4-4877-831c-88e5a7c83660 · outbound

This paper cites Discretized gaussian representation for to- mographic reconstruction.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Discretized gaussian representation for to- mographic reconstruction

Reference 41

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source=pdf_text observed=2026-08-02T21:42:26.685547Z digest=sha256:6e3808c9cdf94def3c08f9a9d16d587029434690fc224adc1cd4368ed5b89523

Observation 0d941122-733d-4a74-ab2f-d688c0c3f3d3 · outbound

This paper cites Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding.Advances in Neural Information Processing Systems, 37:19114–19138,.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding.Advances in Neural Information Processing Systems, 37:19114–19138,

Reference 42

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source=pdf_text observed=2026-08-02T21:42:26.764906Z digest=sha256:7d91e3f3fff35a7399c5f61ca44938622305db9289717f7caf2e258e0017bb7d

Observation d8e56d16-6f00-4050-9a8f-9678f3e1a2e7 · outbound

This paper cites Wavenerf: Wavelet-based generalizable neural radiance fields.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Wavenerf: Wavelet-based generalizable neural radiance fields

Reference 43

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source=pdf_text observed=2026-08-02T21:42:26.854604Z digest=sha256:721be4b779085828d3b415cc2ac8bfec0f136f5bcba5770936ef11e2ea0be1f5

Observation 82f46f97-fb49-40c7-a4a2-31510e639707 · outbound

This paper cites Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction

Reference 44

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source=pdf_text observed=2026-08-02T21:42:26.943665Z digest=sha256:accdc4750594d0d90ffcb71a5299581a6034b404ba2c571390b92cbd55327732

Observation 1e0e4169-c59e-45a7-9bf4-d7bb653bf9fa · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Gaussian grouping: Segment and edit anything in 3d scenes

Reference 45

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source=pdf_text observed=2026-08-02T21:42:27.016101Z digest=sha256:6e872d3b03a9a62de4094c3130f17f4b09a89f6a13f62d10edbec57d8c4814cc

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

This paper cites Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects.

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

Reference 46

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source=pdf_text observed=2026-08-02T21:42:27.093287Z digest=sha256:1dc8fa391944809f1ce47249091b28c80affc037035c6031ce796e2ba7230cd9

Observation 64f1d426-00c4-420e-a7cc-63d87a32240b · outbound

This paper cites Fregs: 3d gaussian splatting with progressive frequency regularization.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Fregs: 3d gaussian splatting with progressive frequency regularization

Reference 47

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source=pdf_text observed=2026-08-02T21:42:27.163561Z digest=sha256:a69ddbea3582f3910852cd6d2d7f0cb9fd54b6640f7c25df29054b52808af6cb

Observation 5368102e-5625-4de9-a18e-25e243b8dadc · outbound

This paper cites CausalAdv: Adversarial Robustness through the Lens of Causality.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering CausalAdv: Adversarial Robustness through the Lens of Causality

Reference 48

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source=pdf_text observed=2026-08-02T21:42:27.231609Z digest=sha256:9e30f8d80a6896e16c2d689b88d06250c502e2cfde85a05a87cfd7a75ffffbe9

Observation 1fac02f7-a1c3-44a1-9ec5-f5602f1a2a60 · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes

Reference 49

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source=pdf_text observed=2026-08-02T21:42:27.285725Z digest=sha256:3e6209561e7c219ab03d5015c4a3a7f465a331f55ea5b257faf4d831081d0cb6

Observation df70859e-4005-4ad9-bc84-1a6ea689f432 · outbound

This paper cites 3d-spatial mul- timodal memory.

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering 3d-spatial mul- timodal memory

Reference 50

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malformed identifier
no resolver link, observed 2026-08-02T21:42:27.336298Z

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source=pdf_text observed=2026-08-02T21:42:27.336298Z digest=sha256:da6e1737428f322b0f5ff3ac30962434f5479e726140b64f3ca553d99ab05ef6

Pith citing papers

No inbound Pith citation observations are available.