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Paper Citation Record · LEDGER

NanoGS: Training-Free Gaussian Splat Simplification

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2603.16103.

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

pith.paper-citation-record.v1
2603.16103 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:08:53.268268Z

measured 48 of 48 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:49:38.215194Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T00:49:38.734972Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98d8f318-818b-4893-b5db-03d798dd5809 · outbound

This paper cites Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions.

NanoGS: Training-Free Gaussian Splat Simplification Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions

Reference 1

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source=pdf_text observed=2026-08-02T18:08:47.458412Z digest=sha256:b3eae9efc92d4c7805a4cbe4b6bd137edbdd0b25f8c996b416001a3bc6ca5e4c

Observation 70aab7b7-c9e5-45f1-a593-4f0ca21a54a5 · outbound

This paper cites Computer Graphics Forum (2025).

NanoGS: Training-Free Gaussian Splat Simplification Computer Graphics Forum (2025)

Reference 2

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source=pdf_text observed=2026-08-02T18:08:47.544794Z digest=sha256:e9a516f14e66bbeeefebd7905886597c704526e43cd370b9d729134108d02e0d

Observation c9c90259-0bc0-4b13-be34-addae1015139 · outbound

This paper cites Journal of machine learning research6(Oct), 1705–1749 (2005).

NanoGS: Training-Free Gaussian Splat Simplification Journal of machine learning research6(Oct), 1705–1749 (2005)

Reference 3

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source=pdf_text observed=2026-08-02T18:08:47.693807Z digest=sha256:b09d8959ac938427eaaf2242e80303fa230197baf2ac1621c23d407c262ca117

Observation e954a1b2-fa7c-448c-92c5-88162edd9a78 · outbound

This paper cites In: CVPR (2022).

NanoGS: Training-Free Gaussian Splat Simplification In: CVPR (2022)

Reference 4

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source=pdf_text observed=2026-08-02T18:08:47.848812Z digest=sha256:eac561771776e999f9b9c84bf7f44e26e7ccf178246f1d099dcae8c8f76a599c

Observation 2dbdf3de-0b7f-4c85-82d0-5c0c26151bf1 · outbound

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

NanoGS: Training-Free Gaussian Splat Simplification In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 5

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source=pdf_text observed=2026-08-02T18:08:47.986662Z digest=sha256:396dc5baf14d362fb4a95af069aa569558ce091b9a70d1b3082881ab9d120d93

Observation 8e1abb0c-1581-4809-9eda-056ea428ff37 · outbound

This paper cites In: ICCV (2023).

NanoGS: Training-Free Gaussian Splat Simplification In: ICCV (2023)

Reference 6

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source=pdf_text observed=2026-08-02T18:08:48.102165Z digest=sha256:ae8d680149e27db332f744fa4053fa76ec137f30d6183c57dca72ae093b0850f

Observation 6f2e197d-3501-4471-8284-68ec03c0bce5 · outbound

This paper cites USSR computational mathematics and mathematical physics7(3), 200–217 (1967).

NanoGS: Training-Free Gaussian Splat Simplification USSR computational mathematics and mathematical physics7(3), 200–217 (1967)

Reference 7

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source=pdf_text observed=2026-08-02T18:08:48.260845Z digest=sha256:d2dd81d0c59520c44654c9102f1da45b737db6f5a0b899c04e3d5be0eee12b67

Observation a2df1446-b963-47cb-8008-485608d3f591 · outbound

This paper cites In: European Conference on Computer Vision.

NanoGS: Training-Free Gaussian Splat Simplification In: European Conference on Computer Vision

Reference 8

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source=pdf_text observed=2026-08-02T18:08:48.424828Z digest=sha256:e556948fc748e8cb72f856aab29063fc288bd71755d35730e758b1c5c5bb9ed1

Observation 74cf11b1-e708-4b23-b7b1-6f2844bbfc26 · outbound

This paper cites HAC++: Towards 100X Compression of 3D Gaussian Splatting.

NanoGS: Training-Free Gaussian Splat Simplification HAC++: Towards 100X Compression of 3D Gaussian Splatting

Reference 9

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Observation 9e640ebe-3962-4b88-ae3b-e569c2e283da · outbound

This paper cites Compact 3D Gaussian Splatting For Dense Visual SLAM.

NanoGS: Training-Free Gaussian Splat Simplification Compact 3D Gaussian Splatting For Dense Visual SLAM

Reference 10

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Observation 479fb400-88f3-44c5-a67f-46665f983695 · outbound

This paper cites In: Pro- ceedings of the ninth ACM SIGKDD international conference on Knowledge dis- covery and data mining.

NanoGS: Training-Free Gaussian Splat Simplification In: Pro- ceedings of the ninth ACM SIGKDD international conference on Knowledge dis- covery and data mining

Reference 11

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Observation a76dd784-0c55-483d-a4be-3af1c8b6e722 · outbound

This paper cites an unresolved cited work.

NanoGS: Training-Free Gaussian Splat Simplification Unresolved cited work

Reference 12

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Observation 5c05260a-013d-4ab8-8d7d-d9121f99f4cc · outbound

This paper cites Advances in neural information processing systems37, 140138–140158 (2024).

NanoGS: Training-Free Gaussian Splat Simplification Advances in neural information processing systems37, 140138–140158 (2024)

Reference 13

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Observation 54ce9b60-40c6-4872-9f01-99b945c18358 · outbound

This paper cites an unresolved cited work.

NanoGS: Training-Free Gaussian Splat Simplification Unresolved cited work

Reference 14

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Observation 239b0692-bce8-4411-aa2a-51d8c4269e94 · outbound

This paper cites In: European Conference on Computer Vision.

NanoGS: Training-Free Gaussian Splat Simplification In: European Conference on Computer Vision

Reference 15

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source=pdf_text observed=2026-08-02T18:08:49.523753Z digest=sha256:36f039b3835f02c6906a9567c8ab477c506ca50cf4ed8cefb0f123f927790cfc

Observation 7459927a-d71b-4b9b-bec0-28fd349bdb07 · outbound

This paper cites ECCV (2024).

NanoGS: Training-Free Gaussian Splat Simplification ECCV (2024)

Reference 16

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Observation 1fe5cd1e-2716-4d66-90e0-a4d28e02a8f3 · outbound

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

NanoGS: Training-Free Gaussian Splat Simplification In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 17

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Observation a58aa233-b26b-458c-a6d1-1a4a93715514 · outbound

This paper cites ACM Transactions on Graphics (ToG)37(6), 1–15 (2018).

NanoGS: Training-Free Gaussian Splat Simplification ACM Transactions on Graphics (ToG)37(6), 1–15 (2018)

Reference 18

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Observation 34fc4bc2-cb52-410b-9b5a-1c71a7b4f4e9 · outbound

This paper cites In: SIGGRAPH (2024).

NanoGS: Training-Free Gaussian Splat Simplification In: SIGGRAPH (2024)

Reference 19

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Observation f2d80bbd-9d16-47d3-b7e0-4e5c259fbb53 · outbound

This paper cites In: SIGGRAPH (2023).

NanoGS: Training-Free Gaussian Splat Simplification In: SIGGRAPH (2023)

Reference 20

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Observation b062a5b2-dd76-4015-a5d6-0fe0de926899 · outbound

This paper cites ACM Transactions on Graphics (ToG)36(4), 1–13 (2017).

NanoGS: Training-Free Gaussian Splat Simplification ACM Transactions on Graphics (ToG)36(4), 1–13 (2017)

Reference 21

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Observation 397c234e-bc29-47ff-82ee-2fc0aec3a932 · outbound

This paper cites an unresolved cited work.

NanoGS: Training-Free Gaussian Splat Simplification Unresolved cited work

Reference 22

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Observation 9a25e1c8-cd7a-45ab-8606-c9220be5262d · outbound

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

NanoGS: Training-Free Gaussian Splat Simplification In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 23

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Observation c1c10182-e648-471b-92fc-a55acbbd7eaf · outbound

This paper cites HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression.

NanoGS: Training-Free Gaussian Splat Simplification HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression

Reference 24

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Observation 01967d8d-1833-4e81-ab45-7ed146768ca8 · outbound

This paper cites arXiv preprint arXiv:2510.03312 (2025).

NanoGS: Training-Free Gaussian Splat Simplification arXiv preprint arXiv:2510.03312 (2025)

Reference 25

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Observation 7ba56d4c-7032-4ede-9878-1ba5318c9ecd · outbound

This paper cites In: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers.

NanoGS: Training-Free Gaussian Splat Simplification In: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers

Reference 26

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Observation d30ecadc-65a5-4746-af35-203cb78a575b · outbound

This paper cites In: SIGGRAPH Asia 2024 Conference Papers.

NanoGS: Training-Free Gaussian Splat Simplification In: SIGGRAPH Asia 2024 Conference Papers

Reference 27

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Observation d83c231f-6b6c-40db-a069-9a9da35f326f · outbound

This paper cites In: ECCV (2020).

NanoGS: Training-Free Gaussian Splat Simplification In: ECCV (2020)

Reference 28

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Observation 2a44ff38-f91e-4b81-9526-6837733c3485 · outbound

This paper cites In: SIGGRAPH (2022).

NanoGS: Training-Free Gaussian Splat Simplification In: SIGGRAPH (2022)

Reference 29

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Observation e6f70f38-0cd5-48ed-87d4-ed24c37ecc39 · outbound

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

NanoGS: Training-Free Gaussian Splat Simplification In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 30

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Observation a541d08f-ad3d-4ed8-a9fa-9a2994c87f8d · outbound

This paper cites Proceedings of the ACM on Computer Graphics and Interactive Techniques7(1) (May 2024).

NanoGS: Training-Free Gaussian Splat Simplification Proceedings of the ACM on Computer Graphics and Interactive Techniques7(1) (May 2024)

Reference 31

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Observation 7e20c4fd-c644-4d28-be28-f3fd8813a9aa · outbound

This paper cites an unresolved cited work.

NanoGS: Training-Free Gaussian Splat Simplification Unresolved cited work

Reference 32

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Observation 0241d44d-3c0b-4edb-8f4c-5985518439f2 · outbound

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

NanoGS: Training-Free Gaussian Splat Simplification In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 33

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Observation d7ed8279-886f-4048-bda7-96e8c4635aa7 · outbound

This paper cites IEEE Transactions on Aerospace and Electronic Systems43(3), 989–999 (2007) NanoGS 17.

NanoGS: Training-Free Gaussian Splat Simplification IEEE Transactions on Aerospace and Electronic Systems43(3), 989–999 (2007) NanoGS 17

Reference 34

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Observation 76cee472-9172-4fda-91d5-66171249dda2 · outbound

This paper cites In: ICLR (2024).

NanoGS: Training-Free Gaussian Splat Simplification In: ICLR (2024)

Reference 35

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Observation 518c4459-fafa-4f30-832e-c942ed370a5c · outbound

This paper cites In: Computer Graphics Forum.

NanoGS: Training-Free Gaussian Splat Simplification In: Computer Graphics Forum

Reference 36

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Observation 881f2bc2-a29d-4278-bbe8-a86e58a14cdf · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS 2025) (2025).

NanoGS: Training-Free Gaussian Splat Simplification In: Advances in Neural Information Processing Systems (NeurIPS 2025) (2025)

Reference 37

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Observation b45417a6-0307-4dfb-b516-f60f40f4942c · outbound

This paper cites Advances in neural information processing systems37, 51532–51551 (2024).

NanoGS: Training-Free Gaussian Splat Simplification Advances in neural information processing systems37, 51532–51551 (2024)

Reference 38

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Observation 20589fbf-1faf-493d-8ab8-3ab4638dae58 · outbound

This paper cites In: CVPR (2024).

NanoGS: Training-Free Gaussian Splat Simplification In: CVPR (2024)

Reference 39

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Observation c4291ef4-130e-4a4b-a19b-366aa2e97802 · outbound

This paper cites In: ICLR (2026).

NanoGS: Training-Free Gaussian Splat Simplification In: ICLR (2026)

Reference 40

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Observation 563c2b49-53fe-4047-ae6c-df6d836c05a3 · outbound

This paper cites In: ICLR (2024).

NanoGS: Training-Free Gaussian Splat Simplification In: ICLR (2024)

Reference 41

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no resolver link, observed 2026-08-02T18:08:52.724244Z

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Observation 72fe8cc9-c00e-4ed2-a4be-5e8f74dc76aa · outbound

This paper cites In: CVPR (2024).

NanoGS: Training-Free Gaussian Splat Simplification In: CVPR (2024)

Reference 42

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unresolved
no resolver link, observed 2026-08-02T18:08:52.789859Z

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Observation 2fe346e6-a424-4321-ac13-5134f1ab328a · outbound

This paper cites In: CVPR (2024).

NanoGS: Training-Free Gaussian Splat Simplification In: CVPR (2024)

Reference 43

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unresolved
no resolver link, observed 2026-08-02T18:08:52.852095Z

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Observation a3b542d6-19b0-4f44-9ddc-ffc6e1b06c52 · outbound

This paper cites optimizing-sparsifying.

NanoGS: Training-Free Gaussian Splat Simplification optimizing-sparsifying

Reference 44

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Observation e29507fb-4374-42f2-bbc7-647783656c70 · outbound

This paper cites Advances in Neural Information Processing Systems37, 122434–122457 (2024).

NanoGS: Training-Free Gaussian Splat Simplification Advances in Neural Information Processing Systems37, 122434–122457 (2024)

Reference 45

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Observation 692d0600-8610-43f5-9489-6527411a1436 · outbound

This paper cites GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance.

NanoGS: Training-Free Gaussian Splat Simplification GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance

Reference 46

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unresolved
no resolver link, observed 2026-08-02T18:08:53.166058Z

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source=pdf_text observed=2026-08-02T18:08:53.166058Z digest=sha256:23b16c6ab0ddc3dccb39da1dba1736c171e9e64a53d6796b2daba9dc81b1d0a6

Observation a092b166-554f-4a17-9e6e-c5ad50218a41 · outbound

This paper cites ChatGPT.

NanoGS: Training-Free Gaussian Splat Simplification ChatGPT

Reference 47

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source=pdf_text observed=2026-08-02T18:08:53.268268Z digest=sha256:4559d8f5614715410e86245518b8171f000b1306d475fbc4cd469557a0782fa7

Pith citing papers

Observation 284ddb7c-922d-4531-821e-f88034e112f9 · inbound

G$^2$ARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillation cites this paper.

G$^2$ARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillation NanoGS: Training-Free Gaussian Splat Simplification

Reference 31

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verified exact
local_arxiv, observed 2026-08-08T00:49:38.740979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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