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Paper Citation Record · LEDGER

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets

As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.02721.

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

pith.paper-citation-record.v1
2607.02721 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:31:01.780245Z

measured 63 of 63 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.

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

63 of 63 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7c868a9-0109-4b33-9449-d224c62e690a · outbound

This paper cites 3D gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):139:1–139:14, 2023.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets 3D gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):139:1–139:14, 2023

Reference 1

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:0a6b2533d65a2297e2f8ac7033ffe0157f2f756207628456b6f1ed6419b35e6b

Observation 10c7e725-d686-4e6e-84b2-434987915d0d · outbound

This paper cites Mip-Splatting: Alias-free 3D gaussian splatting.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Mip-Splatting: Alias-free 3D gaussian splatting

Reference 2

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:f5bdfe900ea6a7c611777e86b17709002e2d591940301d0fdb9fd07281e83877

Observation f688dc65-9261-4ad0-85b6-411e3f78f5de · outbound

This paper cites Scaffold-GS: Structured 3D gaussians for view-adaptive rendering.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Scaffold-GS: Structured 3D gaussians for view-adaptive rendering

Reference 3

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:84919c9a71098ec3f82aeb0cf7fc73ce470531996ae52a7ba5fd6d2a49942041

Observation 9c7d4161-9d8b-476e-be09-2d57f9531323 · outbound

This paper cites 2D gaussian splatting for geometrically accurate radiance fields.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets 2D gaussian splatting for geometrically accurate radiance fields

Reference 4

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:d3248a67cace576c1efb48f1c25975b04190f979501aed418bd80ad81ca09339

Observation 72531ac1-be79-4875-8c2e-e436f4a0fdf7 · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:5f5939f8f7eb5c0be88f327d88e8f99774929ac67ae3ae5c5bb4bae666d767cd

Observation 54d8dbd7-0543-4c45-807c-5957bde0c5ab · outbound

This paper cites Analytic-Splatting: Anti-aliased 3D gaussian splatting via analytic integration.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Analytic-Splatting: Anti-aliased 3D gaussian splatting via analytic integration

Reference 6

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:80ba1defe7adaca13ca488dcbdba38ac20e86278715b52f1d7c7bf7c2ef93208

Observation a9e9b90e-722c-44e2-b4b6-f01b30460faa · outbound

This paper cites 3D gaussian splatting as markov chain monte carlo.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets 3D gaussian splatting as markov chain monte carlo

Reference 7

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:4183ccefb15140d7af7e2515a2d044c6f07be5b8fbcbaceecf0bb608a7db37d3

Observation 34efb8d6-5d17-4d09-a56b-a906659b3de4 · outbound

This paper cites 3D gaussian splatting: Survey, technologies, challenges, and opportunities.IEEE Transactions on Circuits and Systems for Video Technology, 35(7):6832–6852, 2025.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets 3D gaussian splatting: Survey, technologies, challenges, and opportunities.IEEE Transactions on Circuits and Systems for Video Technology, 35(7):6832–6852, 2025

Reference 8

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:4836a62120b8607e73badd103f4a5f663af75953f3aba4ae190332d6a945c572

Observation e3d8da49-6da9-43ff-808f-3568ab889c32 · outbound

This paper cites Bagdasarian, Paul Knoll, Yi-Hsin Li, Florian Barthel, Anna Hilsmann, Peter Eisert, and Wieland Morgenstern.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Bagdasarian, Paul Knoll, Yi-Hsin Li, Florian Barthel, Anna Hilsmann, Peter Eisert, and Wieland Morgenstern

Reference 9

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b3707b3d0ee6fa7d899da3a0ed2bdbf021f53f1324b43d00696a957bb7e85b68

Observation 88bf1c37-d671-451f-82bb-07823861422f · outbound

This paper cites Mini-Splatting: Representing scenes with a constrained number of gaussians.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Mini-Splatting: Representing scenes with a constrained number of gaussians

Reference 10

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b4d7e4b463b7a5126352a50896cce33c14e673899fe2735e417037d65800604e

Observation cd5690b8-a8af-4853-bb4a-a6c2150865bd · outbound

This paper cites Taming3DGS:High-qualityradiancefieldswithlimitedresources.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Taming3DGS:High-qualityradiancefieldswithlimitedresources

Reference 11

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:3830b893b3801e09e3160b300d09a9de5ea24d7360631e3ac55d820ea4535bab

Observation bf8c60cf-1d25-44be-8b3b-8636f2d669f1 · outbound

This paper cites LightGaussian: Unbounded 3D gaussian compression with 15x reduction and 200+ FPS.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets LightGaussian: Unbounded 3D gaussian compression with 15x reduction and 200+ FPS

Reference 12

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:1a3470b8ab898640d0eae1c3d5c4d79f915533bf4b64c9eaf71246aa315c508e

Observation 2cce6795-1b82-4128-b15e-22bb3992bf19 · outbound

This paper cites EAGLES: Efficient accelerated 3D gaussians with lightweight EncodingS.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets EAGLES: Efficient accelerated 3D gaussians with lightweight EncodingS

Reference 13

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:eb54342e93e8e9eeba9fe0ed12b41f719592760e47556d166f2877bda4e9ea34

Observation 6c67ded7-35b7-4957-ac01-5c36933c7184 · outbound

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

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Compact 3D gaussian representation for radiance field

Reference 14

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:88de8e6eb79373260f430cd802231018163f1ca95d89eb616277a1837465b6e5

Observation a8c739a8-8b02-49e6-843a-45ddef14588b · outbound

This paper cites MesonGS:Post-trainingcompressionof3Dgaussiansviaefficientattributetransformation.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets MesonGS:Post-trainingcompressionof3Dgaussiansviaefficientattributetransformation

Reference 15

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:635760e0f0b678b56d457b899692e29c2103b4348cc3fa76125af767911ca660

Observation 2ea38f9d-007c-4def-8529-f38da31d3b07 · outbound

This paper cites Trimming the fat: Efficientcompressionof3Dgaussiansplatsthroughpruning.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Trimming the fat: Efficientcompressionof3Dgaussiansplatsthroughpruning

Reference 16

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:c4be5c6f73437f3d650643bf40dbb20d30ed7866320f14a9b76b0d552ade7f9d

Observation 9b6b8928-c9d2-4baf-8db2-75be82449371 · outbound

This paper cites PUP 3D-GS: Principled uncertainty pruning for 3D gaussian splatting.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets PUP 3D-GS: Principled uncertainty pruning for 3D gaussian splatting

Reference 17

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:d2be889dde83ea6e8cdc1a13064b62d2762de31b1b1d4def410b4245274515ad

Observation c3b73dc2-258c-444d-a3cc-ffc9ff69dfc6 · outbound

This paper cites Gaussianherdingacrosspens: An optimaltransportperspectiveonglobalgaussianreductionfor3DGS.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Gaussianherdingacrosspens: An optimaltransportperspectiveonglobalgaussianreductionfor3DGS

Reference 18

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:a7073e0f362fe22d228c4a3ed13c5857496f9ad16bf896003211728ec6948ed3

Observation e38357df-85ab-49db-962b-3fa3cc56eaed · outbound

This paper cites optimizing-sparsifying.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets optimizing-sparsifying

Reference 19

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:865bbdb08175cd63d575c0186451d8c1be570bc49d9c6c614bff36f02d2c6129

Observation 81973832-ea00-415c-8451-842b9b77bc3a · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:37358251f678daf489b54f19b2e6aa0265079b7b4fa9b1b4c463df83c5bf34d4

Observation a21c734e-9566-432e-bef2-38bb493a483c · outbound

This paper cites PCGS: Progressive compression of 3D gaussian splatting.Proceedings of the AAAI Conference on Artificial Intelligence, 40(4):3111–3119, 2026.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets PCGS: Progressive compression of 3D gaussian splatting.Proceedings of the AAAI Conference on Artificial Intelligence, 40(4):3111–3119, 2026

Reference 21

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:ddfa49a608ab851c79e260b169a710d8f309e33af5e38f94bd5406b91c5fe822

Observation 7918992d-35aa-4db5-b355-2bd4dc72af20 · outbound

This paper cites Optimized minimal 3D gaussian splatting.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Optimized minimal 3D gaussian splatting

Reference 22

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:02e8c8dd2b7015845331375b83008f10ff67f02c1813316322199d76bfddbbcf

Observation 88ffb1c0-9e0d-412a-b1f7-b0201c2d9888 · outbound

This paper cites Compressing 3D gaussian splatting by noise-substituted vector quantization.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Compressing 3D gaussian splatting by noise-substituted vector quantization

Reference 23

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:e2952bb7dddcd007a2bcd0e0f24727d6ef1fc5f35162b8ab805ce5d51e41a833

Observation e604d3de-732b-4ce6-b3fd-7a0cd205db71 · outbound

This paper cites Compression in 3D gaussian splatting: A survey of methods, trends, and future directions.IEEE Transactions on Circuits and Systems for Video Technology, 2026.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Compression in 3D gaussian splatting: A survey of methods, trends, and future directions.IEEE Transactions on Circuits and Systems for Video Technology, 2026

Reference 24

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:747218284e622d4849eeb58f13b24ed0e93146eebeff9a327860124285735418

Observation 99dec3f9-76b3-4fad-81ce-7576cc98d901 · outbound

This paper cites A unified framework for approximating and clustering data.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets A unified framework for approximating and clustering data

Reference 25

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:ede565450e854f94817e5eb042427ec3ccbbbae587ff72bdc3769520ff2806d4

Observation 360c6a2b-976f-4db0-b293-f5a3decbcb1f · outbound

This paper cites New Frameworks for Offline and Streaming Coreset Constructions.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets New Frameworks for Offline and Streaming Coreset Constructions

Reference 26

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:637ae2decb57a6a64e6d796914091697b4bafe5ae1ed25eb79df9728306be599

Observation 30f905e6-069f-4b51-901f-82c9362c8382 · outbound

This paper cites Phillips.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Phillips

Reference 27

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:a22ba87d73e646568e47a401ff063999addc0d14786dfa4e0f494bc7459a93c5

Observation a56d12cb-f80c-4422-9c46-efda5fa0d7e3 · outbound

This paper cites Core-sets: An updated survey.WIREs Data Mining and Knowledge Discovery, 10(1): e1335, 2020.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Core-sets: An updated survey.WIREs Data Mining and Knowledge Discovery, 10(1): e1335, 2020

Reference 28

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:331b86fead35c4473f2f3581e5eb5c367a1c11b9337149b201687097aa231d46

Observation 1fa24718-9b86-4008-9d95-4bd486d21b68 · outbound

This paper cites Data-dependent coresets for compressing neural networks with applications to generalization bounds.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Data-dependent coresets for compressing neural networks with applications to generalization bounds

Reference 29

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:d78094f55fc2742013d0e4f89a10926b4bf4cfa3e5508af7505e9e64dc8bdd1b

Observation 617151e0-86d6-4d3f-a032-16629588b8f8 · outbound

This paper cites Pruning neural networks via coresets and convex geometry: Towards no assumptions.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Pruning neural networks via coresets and convex geometry: Towards no assumptions

Reference 30

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:a6cf1d1f35bc44d7f572268291e313a58c3c3b6a6fba0031e481e2368046d563

Observation d0c17a16-0327-42ca-9a20-9530a8d6f634 · outbound

This paper cites Provable filter pruning for efficient neural networks.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Provable filter pruning for efficient neural networks

Reference 31

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:42d899caa627f926060ab18a6c4aafd6ff3d8e77819979df2493ef378a6cede6

Observation 43a81119-60ad-4f6e-8bb2-984d90f02ad9 · outbound

This paper cites Pixel-GS: Density control with pixel-aware gradient for 3D gaussian splatting.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Pixel-GS: Density control with pixel-aware gradient for 3D gaussian splatting

Reference 32

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:808aad8c1046a2e809ca72e897cd86efeb8a194e250a3aa4781bd40c19236721

Observation a422a885-10fc-4207-b2d9-1b2beb976c0d · outbound

This paper cites AbsGS: Recovering fine details in 3D gaussian splatting.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets AbsGS: Recovering fine details in 3D gaussian splatting

Reference 33

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b2faf0f369839c68e4a82f1b3e07779c348e0a8cb4f1489c739ab1937f1dcfe9

Observation 46f64f01-d94e-452a-85ef-579fdb7e9681 · outbound

This paper cites Geometricapproximationviacoresets.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Geometricapproximationviacoresets

Reference 34

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:dde8c2b0ff43ac7e5f60791785f8769a8e9822dc2d95c085e5e878a691560598

Observation d61a889c-3aca-4920-beaa-a1ec49a2a0fe · outbound

This paper cites Clarkson.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Clarkson

Reference 35

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:e99ae811bc003bdbe56f6e40d4681f07713947c45bdfd7510b6df985ac76e50c

Observation 6c942bb2-993b-4ef2-a7f4-3aebde7d7906 · outbound

This paper cites Alper Yıldırım.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Alper Yıldırım

Reference 36

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:2eefb879ab1b1f516c67631c90098b05d62eccd47a2f931589f6e2b8cf2edbc7

Observation 0d0feae1-8ef5-4e61-bc29-f842cbae16fc · outbound

This paper cites Fast and accurate least-mean-squares solvers.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Fast and accurate least-mean-squares solvers

Reference 37

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:a5ef4f01c8687f503a2ee2e4ba6e58e08ad3db9b570d8e6fe14e1517a4c8c3c3

Observation dc515f87-ff28-4bd7-bc67-b3d3648e0a09 · outbound

This paper cites AutoCoreset: An automatic practical coreset construction framework.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets AutoCoreset: An automatic practical coreset construction framework

Reference 38

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:1e003d0db043d690decbda14c3f8ddcee660ddf76c51b5eb7a5e571c59000710

Observation 2d61571e-69af-4c69-86ca-b6ef23b9be79 · outbound

This paper cites Tight sensitivity bounds for smaller coresets.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Tight sensitivity bounds for smaller coresets

Reference 39

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:1180c0c54e4d4540261543cc6c7007aacb47c546554c09dd72182ef0aad5d9fd

Observation 8ca5e572-6d8d-4f60-a423-52311915aad2 · outbound

This paper cites Scalable k-meansclusteringvialightweightcoresets.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Scalable k-meansclusteringvialightweightcoresets

Reference 40

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:c0680e1af922ea598cd3a603a6de00feb3e68ed1db043b92c6ea29917eecdca9

Observation ab3c2c1f-7994-4bd5-9c4a-b3549d9f4359 · outbound

This paper cites Practical Coreset Constructions for Machine Learning.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Practical Coreset Constructions for Machine Learning

Reference 41

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:5ba1a2bff08156fe45fcf1823f969a155617fcb000c8ad29ea64a2c03c63cf8d

Observation 6c232fb9-9f50-48d5-bfa0-c93655170066 · outbound

This paper cites Sets clustering.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Sets clustering

Reference 42

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:54f480d606d1eddb395ee324f14cc0d7a190e721d4c90e7df441fe8bb2e80949

Observation d0d0c9e1-b4ce-441e-b283-3a7029f1e086 · outbound

This paper cites Provable data subset selection for efficient neural networks training.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Provable data subset selection for efficient neural networks training

Reference 43

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:cbdde6115e9428abfc16b2d63ab11aa7aecf2e72ad1d27c092d9e1c012a30165

Observation 8d67156a-9192-4742-b535-bc7110039e05 · outbound

This paper cites Activelearningforconvolutionalneuralnetworks: ACore-Setapproach.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Activelearningforconvolutionalneuralnetworks: ACore-Setapproach

Reference 44

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b28ce1f5dd238c56175de62d57a31345d5c679248d4ddcd4a383b7b4b73da9a4

Observation 3668843e-b41a-4b42-8f77-91a0ac8f3807 · outbound

This paper cites Coresets for data-efficient training of machine learning models.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Coresets for data-efficient training of machine learning models

Reference 45

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:a8666fd8210d40172a72ed81423a29949b02253c619428d9e233346857a217f7

Observation 0ac212d1-9450-4284-bffb-2a9a3a5f1987 · outbound

This paper cites Towards sustainable learning: Coresets for data- efficient deep learning.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Towards sustainable learning: Coresets for data- efficient deep learning

Reference 46

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b19b65ea3aee964e1e3ea145a9f2d89ca015bc94d24ee332a9f42a5e282de066

Observation ce43dfb8-012c-4c79-b946-0809a0705f41 · outbound

This paper cites Hybrid control and learning with coresets for autonomous vehicles.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Hybrid control and learning with coresets for autonomous vehicles

Reference 47

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:892d04415f5345dfff120c8e277f248c1f4e10fef9a9a096e557c20d7f5e6632

Observation 51ec3535-1a84-4515-88f6-f05a516219ff · outbound

This paper cites Overviewofaccuratecoresets.WileyInterdisciplinary Reviews: Data Mining and Knowledge Discovery, 11(6):e1429, 2021.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Overviewofaccuratecoresets.WileyInterdisciplinary Reviews: Data Mining and Knowledge Discovery, 11(6):e1429, 2021

Reference 48

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:4c72752addd5ec42ba187cf4001c3f3a04950c4f72a8c976b51ae1ffb65334fe

Observation c1f1a7be-71d1-4a3b-94c2-16ed7e5cdff1 · outbound

This paper cites DataS^3: Dataset Subset Selection for Specialization.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets DataS^3: Dataset Subset Selection for Specialization

Reference 49

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:329502ab4e87b18eba68af1e27e937364c2a2fcebb619e19c30f1e50050e38a5

Observation 0466151a-524d-4f71-8836-d02d13c05d27 · outbound

This paper cites Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching

Reference 50

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:5feca5b5eabc1934e34e44eb345813b4ecfc9cc049cb802f229f8c8c1547df44

Observation deffa447-8efe-4a81-aeb2-5a1b95883844 · outbound

This paper cites A unified approach to coresetlearning.IEEETransactionsonNeuralNetworksandLearningSystems, 35(5):6893–6905, 2024.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets A unified approach to coresetlearning.IEEETransactionsonNeuralNetworksandLearningSystems, 35(5):6893–6905, 2024

Reference 51

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:91c16774896930cf90266062fec0ab1bc3e4ee36b0f69023a817ee54904d0b07

Observation 0e2b1a83-1c17-48d2-99ad-2dc70a162592 · outbound

This paper cites Coresets for near-convex functions.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Coresets for near-convex functions

Reference 52

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:a9531de9c918ffbfbf3ac696b5f743b62b4cb034bf2a430cdd15a6a3a426bfbb

Observation e465a136-f0b2-48c9-9a92-4fc2ed9f5716 · outbound

This paper cites Data- independent neural pruning via coresets.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Data- independent neural pruning via coresets

Reference 53

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:6b2b43f5d8749722c14a437e288a77d4ba21d4e51fdf9d810c7d0ae88fc1c6f2

Observation d6d4be69-f174-4551-ab3f-20f0118e5635 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 54

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b7fc00eee65f0e1b2bd2802154b5cd420d43aae020418e4fb7a879c76a77084e

Observation fbe03824-38e0-438c-8aaa-14663c93b012 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4):78:1–78:13, 2017.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4):78:1–78:13, 2017

Reference 55

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:c1cf4b3675271c86c31a4c2d56103f167a089fdc0d9e9e0d4217c576241591f5

Observation 067ac058-1683-4245-8d83-4f76e63f7124 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics, 37(6): 257:1–257:15, 2018.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics, 37(6): 257:1–257:15, 2018

Reference 56

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:3e92db9e3168d3b6a4a28eb553f93412c63e6f00298b13ea2d9aa0a0a33478a5

Observation 0565000f-d966-4a07-adf2-756c3b09a7a9 · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 57

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:481b3ea1d131bf5cfa139823a6aa60c6641197929d25caf56adc7f42b075b300

Observation 1a76395c-c7b8-4a3a-b05a-eda6401e84ea · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 58

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:849df08407a36dd588c2cef3301d112348ef1e3c5a2226266d923f969ac140e9

Observation b4da3970-c6a0-4a06-908e-068075c9933b · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 59

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:c756d5d514754682aa6f8566eaa127e1c8f1e07af28c15a9dc2ffb5ebd3831f3

Observation 95623b4e-b68b-4654-971d-cbdb7b0d439b · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 60

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:0e2eac237dc5e1c457a4fe37562d2df5208042dfeac273c203a38a06ad00f1da

Observation 85e109c8-dd2f-47be-8a76-bc565d839198 · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 61

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:b10b3ded0cbe63d7632003f37fddccef7f2d3d8385f7d9785bbcf5bedb508c37

Observation 9076b771-132a-4080-b51b-35195ba2713b · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 62

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:176a4c2e7ad289008daf4a95ffb51bd201734d8099a2c3b9a7c60d29e5465cc4

Observation 56cada0a-7140-4261-abcc-8a13e7841989 · outbound

This paper cites an unresolved cited work.

Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work

Reference 63

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source=pdf_text observed=2026-07-12T07:31:01.780245Z digest=sha256:1415ecc773164ef9f99977807be0f86ab9d45e83ac1fdfb023c5f15308b53bb1

Pith citing papers

No inbound Pith citation observations are available.