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Paper Citation Record · LEDGER

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur

As of 23 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.03855.

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

pith.paper-citation-record.v1
2607.03855 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:29:42.592387Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 8a5ae3b0-2bb0-427b-b5cf-9e87cdf4d726 · outbound

This paper cites In: CVPR (2021) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2021) 4

Reference 1

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Observation 5318e773-4d53-49ac-b8c4-57cd0c389fbb · outbound

This paper cites In: CVPR (2022) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2022) 4

Reference 2

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Observation 3278a7c0-217d-47d1-9733-d6a414c2a2f4 · outbound

This paper cites In: ECCV (2022) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: ECCV (2022) 4

Reference 3

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Observation a1fb7a2c-f5d7-429c-82fb-abaae79337b7 · outbound

This paper cites Proceedings of the ACM on Computer Graphics and Interactive Techniques 7(1), 1–15 (2024) 4, 5, 6, 8.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur Proceedings of the ACM on Computer Graphics and Interactive Techniques 7(1), 1–15 (2024) 4, 5, 6, 8

Reference 4

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Observation e67a78b5-78b7-4fb5-9395-c842245cd0d4 · outbound

This paper cites In: 2024 IEEE International Conference on Image Processing (ICIP).

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: 2024 IEEE International Conference on Image Processing (ICIP)

Reference 5

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Observation 0035c605-1bab-4205-8cd3-2a792df9d63f · outbound

This paper cites In: CVPR (2022) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2022) 4

Reference 6

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Observation 172743a5-025b-413c-838c-cf86059fe032 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 7

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Observation d9ef92b0-6103-4f21-958c-07ad08ede6df · outbound

This paper cites CVPR (2023) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur CVPR (2023) 4

Reference 8

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Observation 6e93f0b5-6df6-4156-8364-18de31d66f51 · outbound

This paper cites International Journal of Computer Vision129(2), 517–547 (2021) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur International Journal of Computer Vision129(2), 517–547 (2021) 4

Reference 9

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Observation 2e74fc43-4655-415e-9219-92408838897e · outbound

This paper cites ACM TOG42(4) (July 2023),https: //repo-sam.inria.fr/fungraph/3d-gaussian-splatting/2.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur ACM TOG42(4) (July 2023),https: //repo-sam.inria.fr/fungraph/3d-gaussian-splatting/2

Reference 10

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Observation 9a6b71c8-f068-491b-869d-ea3789557407 · outbound

This paper cites TOG (2023) 4, 8, 19.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur TOG (2023) 4, 8, 19

Reference 11

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Observation fcc8f115-442f-48e3-8f06-71e00d2c2619 · outbound

This paper cites Advances in Neural Information Processing Systems37, 80965–80986 (2025) 2, 4, 5, 6, 8, 19.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur Advances in Neural Information Processing Systems37, 80965–80986 (2025) 2, 4, 5, 6, 8, 19

Reference 12

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Observation 01714ba4-a1f8-4fe7-a78b-9384cdf58870 · outbound

This paper cites In: ICCV (2023) 4, 5, 8, 21.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: ICCV (2023) 4, 5, 8, 21

Reference 13

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Observation 088f668e-1085-4499-9693-9655e1d86195 · outbound

This paper cites In: CVPR (2021) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2021) 4

Reference 14

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Observation 6d7a09b3-c128-4751-a5a0-303f91a6f65b · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 15

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Observation 259e9f95-eb60-4669-afc9-f2c1e360cc3d · outbound

This paper cites arXiv preprint arXiv:2509.25191 (2025) 2, 4, 13.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur arXiv preprint arXiv:2509.25191 (2025) 2, 4, 13

Reference 16

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Observation b8ab8703-ef20-412f-a8ef-abe1a1dc7373 · outbound

This paper cites IEEE Transactions on Visu- alization and Computer Graphics pp.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur IEEE Transactions on Visu- alization and Computer Graphics pp

Reference 17

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Observation 41486558-e7d4-42b4-9be0-1e93712f1296 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 18

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Observation 180b02ab-1260-4086-a2bf-46d4d8982f59 · outbound

This paper cites TOG (2022) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur TOG (2022) 4

Reference 19

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Observation 0eb1b639-77b9-43ac-999b-8b8fffb6a48b · outbound

This paper cites In: European Conference on Computer Vision.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: European Conference on Computer Vision

Reference 20

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Observation 919379df-3b0c-4572-8775-aa2a58a25d09 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

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Observation 4b453da0-07c8-4eb3-be7d-9a0bc80afc1d · outbound

This paper cites Advances in neural information processing systems32(2019),https://pytorch.org/8.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur Advances in neural information processing systems32(2019),https://pytorch.org/8

Reference 22

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Observation 0e1eb618-3694-41b0-8f3e-554fa9d06efb · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 23

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Observation 41871abe-996a-4f56-a8aa-c840eec686cb · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Multimedia.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the 32nd ACM International Conference on Multimedia

Reference 24

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Observation 5db20f59-62e6-4d4e-b232-5b5f3a8e3365 · outbound

This paper cites In: Proceedings of The 2nd Conference on Robot Learning.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of The 2nd Conference on Robot Learning

Reference 25

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Observation afa32519-78f8-4653-9d22-cd66d04bb78a · outbound

This paper cites In: ICCV (2021) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: ICCV (2021) 4

Reference 26

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Observation 10e4b9b3-90d1-426a-a005-6d5266648b8f · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 27

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Observation 37f3f1af-979d-4733-a1e9-7c4e5f1c6182 · outbound

This paper cites In: CVPR (2019) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2019) 4

Reference 28

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Observation 127baba2-0511-46d6-a46a-e99d53ea8fcd · outbound

This paper cites In: CVPR (2020) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2020) 4

Reference 29

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Observation 28bb755b-9386-48f7-90a1-dace856723f4 · outbound

This paper cites In: CVPR (2016), https://github.com/colmap/colmap2, 3, 5.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2016), https://github.com/colmap/colmap2, 3, 5

Reference 30

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Observation 32bcb5bc-3a50-4812-900d-6f001392b1f2 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 31

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Observation 1a492064-0978-4476-955c-e6319933e263 · outbound

This paper cites CVPR (2022) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur CVPR (2022) 4

Reference 32

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Observation d1ca8665-f798-40b1-9ff3-50d6549bd370 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 33

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Observation 43c9c29e-cba0-4b10-9755-7eefa90a30d1 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 34

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Observation 5e691939-2265-40c2-854e-12a58e9f0aa5 · outbound

This paper cites In: CVPR (2023),https://wangpeng000.github.io/BAD-NeRF/ 4 18 G.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2023),https://wangpeng000.github.io/BAD-NeRF/ 4 18 G

Reference 35

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Observation 32d5e301-9fcf-4292-9c6f-753a4697862f · outbound

This paper cites an unresolved cited work.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur Unresolved cited work

Reference 36

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Observation 8a84b187-7bf5-460a-9316-155bb6fcfc63 · outbound

This paper cites Journal of Machine Learning Research26(34), 1–17 (2025) 8.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur Journal of Machine Learning Research26(34), 1–17 (2025) 8

Reference 37

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Observation 03a0c777-c3f9-4db4-ba68-7aec7cb0e2d0 · outbound

This paper cites In: ICCV (2021) 4.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: ICCV (2021) 4

Reference 38

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Observation 47de6da1-41bc-4e3d-ad1f-9b5ba9ec389a · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 39

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Observation 583f1fc4-f542-45ae-b6d7-878bb1c0c0c8 · outbound

This paper cites In: CVPR (2022) 8.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2022) 8

Reference 40

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no resolver link, observed 2026-07-11T23:29:42.592387Z

Source-reported events for the cited work

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Observation 6d014a6c-c583-4afb-9238-4d06a7634390 · outbound

This paper cites In: CVPR (2021),https://github.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: CVPR (2021),https://github

Reference 41

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Source-reported events for the cited work

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Observation 9cf95d4d-75d5-40da-b167-309624b41884 · outbound

This paper cites NeRF++: Analyzing and Improving Neural Radiance Fields.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 42

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no resolver link, observed 2026-07-11T23:29:42.592387Z

Source-reported events for the cited work

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Observation 8c46285e-ea96-4b5c-beef-fd2f4d2bcbd9 · outbound

This paper cites In: ECCV.

PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur In: ECCV

Reference 43

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Pith citing papers

No inbound Pith citation observations are available.