Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T07:31:01.780245Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T07:31:01.780245Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
63 of 63 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f7c868a9-0109-4b33-9449-d224c62e690a · outbound
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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Observation 10c7e725-d686-4e6e-84b2-434987915d0d · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Mip-Splatting: Alias-free 3D gaussian splatting
Reference 2
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Observation f688dc65-9261-4ad0-85b6-411e3f78f5de · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Scaffold-GS: Structured 3D gaussians for view-adaptive rendering
Reference 3
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Observation 9c7d4161-9d8b-476e-be09-2d57f9531323 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets 2D gaussian splatting for geometrically accurate radiance fields
Reference 4
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Observation 72531ac1-be79-4875-8c2e-e436f4a0fdf7 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 5
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Observation 54d8dbd7-0543-4c45-807c-5957bde0c5ab · outbound
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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Observation a9e9b90e-722c-44e2-b4b6-f01b30460faa · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets 3D gaussian splatting as markov chain monte carlo
Reference 7
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Observation 34efb8d6-5d17-4d09-a56b-a906659b3de4 · outbound
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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Observation e3d8da49-6da9-43ff-808f-3568ab889c32 · outbound
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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Observation 88bf1c37-d671-451f-82bb-07823861422f · outbound
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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Observation cd5690b8-a8af-4853-bb4a-a6c2150865bd · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Taming3DGS:High-qualityradiancefieldswithlimitedresources
Reference 11
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Observation bf8c60cf-1d25-44be-8b3b-8636f2d669f1 · outbound
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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Observation 2cce6795-1b82-4128-b15e-22bb3992bf19 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets EAGLES: Efficient accelerated 3D gaussians with lightweight EncodingS
Reference 13
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Observation 6c67ded7-35b7-4957-ac01-5c36933c7184 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Compact 3D gaussian representation for radiance field
Reference 14
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Observation a8c739a8-8b02-49e6-843a-45ddef14588b · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets MesonGS:Post-trainingcompressionof3Dgaussiansviaefficientattributetransformation
Reference 15
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Observation 2ea38f9d-007c-4def-8529-f38da31d3b07 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Trimming the fat: Efficientcompressionof3Dgaussiansplatsthroughpruning
Reference 16
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Observation 9b6b8928-c9d2-4baf-8db2-75be82449371 · outbound
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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Observation c3b73dc2-258c-444d-a3cc-ffc9ff69dfc6 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Gaussianherdingacrosspens: An optimaltransportperspectiveonglobalgaussianreductionfor3DGS
Reference 18
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Observation e38357df-85ab-49db-962b-3fa3cc56eaed · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets optimizing-sparsifying
Reference 19
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Observation 81973832-ea00-415c-8451-842b9b77bc3a · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 20
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Observation a21c734e-9566-432e-bef2-38bb493a483c · outbound
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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Observation 7918992d-35aa-4db5-b355-2bd4dc72af20 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Optimized minimal 3D gaussian splatting
Reference 22
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Observation 88ffb1c0-9e0d-412a-b1f7-b0201c2d9888 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Compressing 3D gaussian splatting by noise-substituted vector quantization
Reference 23
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Observation e604d3de-732b-4ce6-b3fd-7a0cd205db71 · outbound
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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Observation 99dec3f9-76b3-4fad-81ce-7576cc98d901 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets A unified framework for approximating and clustering data
Reference 25
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Observation 360c6a2b-976f-4db0-b293-f5a3decbcb1f · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets New Frameworks for Offline and Streaming Coreset Constructions
Reference 26
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Observation 30f905e6-069f-4b51-901f-82c9362c8382 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Phillips
Reference 27
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Observation a56d12cb-f80c-4422-9c46-efda5fa0d7e3 · outbound
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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Observation 1fa24718-9b86-4008-9d95-4bd486d21b68 · outbound
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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Observation 617151e0-86d6-4d3f-a032-16629588b8f8 · outbound
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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Observation d0c17a16-0327-42ca-9a20-9530a8d6f634 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Provable filter pruning for efficient neural networks
Reference 31
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Observation 43a81119-60ad-4f6e-8bb2-984d90f02ad9 · outbound
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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Observation a422a885-10fc-4207-b2d9-1b2beb976c0d · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets AbsGS: Recovering fine details in 3D gaussian splatting
Reference 33
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Observation 46f64f01-d94e-452a-85ef-579fdb7e9681 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Geometricapproximationviacoresets
Reference 34
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Observation d61a889c-3aca-4920-beaa-a1ec49a2a0fe · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Clarkson
Reference 35
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Observation 6c942bb2-993b-4ef2-a7f4-3aebde7d7906 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Alper Yıldırım
Reference 36
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Observation 0d0feae1-8ef5-4e61-bc29-f842cbae16fc · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Fast and accurate least-mean-squares solvers
Reference 37
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Observation dc515f87-ff28-4bd7-bc67-b3d3648e0a09 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets AutoCoreset: An automatic practical coreset construction framework
Reference 38
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Observation 2d61571e-69af-4c69-86ca-b6ef23b9be79 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Tight sensitivity bounds for smaller coresets
Reference 39
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Observation 8ca5e572-6d8d-4f60-a423-52311915aad2 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Scalable k-meansclusteringvialightweightcoresets
Reference 40
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Observation ab3c2c1f-7994-4bd5-9c4a-b3549d9f4359 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Practical Coreset Constructions for Machine Learning
Reference 41
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Observation 6c232fb9-9f50-48d5-bfa0-c93655170066 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Sets clustering
Reference 42
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Observation d0d0c9e1-b4ce-441e-b283-3a7029f1e086 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Provable data subset selection for efficient neural networks training
Reference 43
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Observation 8d67156a-9192-4742-b535-bc7110039e05 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Activelearningforconvolutionalneuralnetworks: ACore-Setapproach
Reference 44
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Observation 3668843e-b41a-4b42-8f77-91a0ac8f3807 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Coresets for data-efficient training of machine learning models
Reference 45
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Observation 0ac212d1-9450-4284-bffb-2a9a3a5f1987 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Towards sustainable learning: Coresets for data- efficient deep learning
Reference 46
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Observation ce43dfb8-012c-4c79-b946-0809a0705f41 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Hybrid control and learning with coresets for autonomous vehicles
Reference 47
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Observation 51ec3535-1a84-4515-88f6-f05a516219ff · outbound
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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Observation c1f1a7be-71d1-4a3b-94c2-16ed7e5cdff1 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets DataS^3: Dataset Subset Selection for Specialization
Reference 49
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Observation 0466151a-524d-4f71-8836-d02d13c05d27 · outbound
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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Observation deffa447-8efe-4a81-aeb2-5a1b95883844 · outbound
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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Observation 0e2b1a83-1c17-48d2-99ad-2dc70a162592 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Coresets for near-convex functions
Reference 52
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Observation e465a136-f0b2-48c9-9a92-4fc2ed9f5716 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Data- independent neural pruning via coresets
Reference 53
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Observation d6d4be69-f174-4551-ab3f-20f0118e5635 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Barron, Ben Mildenhall, Dor Verbin, Pratul P
Reference 54
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Observation fbe03824-38e0-438c-8aaa-14663c93b012 · outbound
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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Observation 067ac058-1683-4245-8d83-4f76e63f7124 · outbound
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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Observation 0565000f-d966-4a07-adf2-756c3b09a7a9 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 57
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Observation 1a76395c-c7b8-4a3a-b05a-eda6401e84ea · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 58
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Observation b4da3970-c6a0-4a06-908e-068075c9933b · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 59
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Observation 95623b4e-b68b-4654-971d-cbdb7b0d439b · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 60
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Observation 85e109c8-dd2f-47be-8a76-bc565d839198 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 61
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Observation 9076b771-132a-4080-b51b-35195ba2713b · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 62
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Observation 56cada0a-7140-4261-abcc-8a13e7841989 · outbound
Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Unresolved cited work
Reference 63
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No inbound Pith citation observations are available.