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Paper Citation Record · LEDGER

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2509.08685.

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pith.paper-citation-record.v1
2509.08685 v2

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measured 54 of 54 reference resolution

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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

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

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Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 3f7572ba-6f7d-42d2-a25e-225b9d0727a9 · outbound

This paper cites A volumetric approach to point cloud compression—part i: Attribute compres- sion,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding A volumetric approach to point cloud compression—part i: Attribute compres- sion,

Reference 1

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Observation 0b348a88-8124-4b17-a17d-c44d7a65c65d · outbound

This paper cites Compression of 3d point clouds using a region-adaptive hierarchical transform,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Compression of 3d point clouds using a region-adaptive hierarchical transform,

Reference 2

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Observation 34ad5b80-ddac-4031-a76b-81ac4ed65c63 · outbound

This paper cites Integer alternative for the region-adaptive hierarchical trans- form,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Integer alternative for the region-adaptive hierarchical trans- form,

Reference 3

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Observation 5a66d3b1-8768-4756-aad4-6db7d56c5f66 · outbound

This paper cites Emerging MPEG standards for point cloud compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Emerging MPEG standards for point cloud compression,

Reference 4

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Observation 92d0c56e-5bad-4b3d-9d0c-032c53207546 · outbound

This paper cites Saad,Iterative methods for sparse linear systems.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Saad,Iterative methods for sparse linear systems

Reference 5

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Observation 311093f8-ef98-4124-aad5-df8113832935 · outbound

This paper cites Proximal algorithms,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Proximal algorithms,

Reference 6

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Observation cc95e99c-7d8c-465e-9e7a-19828e84363b · outbound

This paper cites Nonlinear transform coding,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Nonlinear transform coding,

Reference 7

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Observation de0d04b0-505c-4001-9511-537f988c575f · outbound

This paper cites On an improvement of RAHT to ex- ploit attribute correlation,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding On an improvement of RAHT to ex- ploit attribute correlation,

Reference 8

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Observation be17ea37-05ff-4400-bb01-9c5bb909842c · outbound

This paper cites Point cloud attribute compression with graph transform,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Point cloud attribute compression with graph transform,

Reference 9

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Observation 66e5f3e8-e102-4167-ae8d-b7ff2b450f4d · outbound

This paper cites Attribute compression for sparse point clouds using graph transforms,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Attribute compression for sparse point clouds using graph transforms,

Reference 10

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Observation 75e6acde-15a0-458f-bfb1-544d56be5f0a · outbound

This paper cites Spectral folding and two-channel filter-banks on arbitrary graphs,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Spectral folding and two-channel filter-banks on arbitrary graphs,

Reference 11

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Observation ec3e6bb9-5235-4d82-a50a-16cacd1eaec4 · outbound

This paper cites Ray tracing volume densities,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Ray tracing volume densities,

Reference 12

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Observation 1f7a98cd-9eb2-4657-ab6e-984c9084f707 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 13

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Observation 8ff9c693-e9cd-45a3-b35d-7d6a5dbd877c · outbound

This paper cites Ewa splatting,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Ewa splatting,

Reference 14

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Observation 6e5069e8-a044-407e-92a9-6a44ca39dd41 · outbound

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

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding 3d gaussian splatting for real-time radiance field rendering

Reference 15

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Observation 2cf14927-5c61-4960-8726-c2a5b6ff04cc · outbound

This paper cites Com- pressed 3d gaussian splatting for accelerated novel view synthe- sis,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Com- pressed 3d gaussian splatting for accelerated novel view synthe- sis,

Reference 16

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Observation c2d92d24-f916-41a8-bfac-7c8ad27f4f8e · outbound

This paper cites Mesongs: Post-training compression of 3d gaussians via efficient attribute transformation,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Mesongs: Post-training compression of 3d gaussians via efficient attribute transformation,

Reference 17

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Observation 7d3485a3-12fb-4ad1-a8fa-3b77caf20bd3 · outbound

This paper cites Hac: Hash- grid assisted context for 3d gaussian splatting compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Hac: Hash- grid assisted context for 3d gaussian splatting compression,

Reference 18

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Observation 8eb5164a-ff3b-429d-a544-427761e7cfb0 · outbound

This paper cites Compgs: Efficient 3d scene representation via compressed gaussian splatting,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Compgs: Efficient 3d scene representation via compressed gaussian splatting,

Reference 19

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Observation 8d498756-4cac-4505-bf69-3442fa5e7e86 · outbound

This paper cites Deep learning-based point cloud geometry coding: RD control through implicit and explicit quantization,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Deep learning-based point cloud geometry coding: RD control through implicit and explicit quantization,

Reference 20

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Observation 0a84438d-b8ad-40b4-9297-9f372d61462a · outbound

This paper cites Deep implicit volume compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Deep implicit volume compression,

Reference 21

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Observation a4f9e28c-a62a-48e3-98de-12191b710006 · outbound

This paper cites Towards neural network approaches for point cloud compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Towards neural network approaches for point cloud compression,

Reference 22

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Observation 9280d346-1da5-4308-ae34-86f2e83baa91 · outbound

This paper cites Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks,

Reference 23

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Observation 3e4904c3-9186-49bc-8340-8830e7273b04 · outbound

This paper cites Sparse tensor-based point cloud attribute compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Sparse tensor-based point cloud attribute compression,

Reference 24

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Observation b595b473-d7d6-4372-9128-66f06b5024ff · outbound

This paper cites Scalable point cloud at- tribute compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Scalable point cloud at- tribute compression,

Reference 25

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Observation b7d032c3-12cc-4ab3-b1fe-f5275d722874 · outbound

This paper cites Entropy-constrained vector quantization,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Entropy-constrained vector quantization,

Reference 26

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Observation 1ef91500-6de5-40fc-b9cf-79a32ae58f75 · outbound

This paper cites Variational image compression with a scale hyperprior,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Variational image compression with a scale hyperprior,

Reference 27

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This paper cites Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing,

Reference 28

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This paper cites Learning fast approximations of sparse coding,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Learning fast approximations of sparse coding,

Reference 29

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Observation ca8f66bf-1ade-4f83-9d38-12db9ae872e9 · outbound

This paper cites White-box transformers via sparse rate reduction,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding White-box transformers via sparse rate reduction,

Reference 30

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Observation 6c136dbe-2e06-48db-a9db-ee2c11e750e8 · outbound

This paper cites Interpretable lightweight transformer via unrolling of learned graph smoothness priors,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Interpretable lightweight transformer via unrolling of learned graph smoothness priors,

Reference 31

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Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding V olumetric attribute compression for 3d point clouds using feedforward network with geometric attention,

Reference 32

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This paper cites Learned nonlinear predictor for critically sampled 3d point cloud attribute compression,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Learned nonlinear predictor for critically sampled 3d point cloud attribute compression,

Reference 33

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Observation ea9d0e7c-7a49-4c60-ae0c-670ae61b1b66 · outbound

This paper cites V olumetric 3d point cloud attribute compression: Learned polynomial bilateral filter for prediction,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding V olumetric 3d point cloud attribute compression: Learned polynomial bilateral filter for prediction,

Reference 34

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This paper cites Equivalence class — Wikipedia, the free encyclopedia,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Equivalence class — Wikipedia, the free encyclopedia,

Reference 35

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Observation 40d3120e-819d-4d20-8886-092544f945e7 · outbound

This paper cites Hilbert space — Wikipedia, the free encyclope- dia,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Hilbert space — Wikipedia, the free encyclope- dia,

Reference 36

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Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding G-PCC codec description v12,

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This paper cites Gram matrix — Wikipedia, the free encyclopedia,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Gram matrix — Wikipedia, the free encyclopedia,

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Observation 9f4d0c4a-e68d-4b85-9803-b08add5d776c · outbound

This paper cites Daubechies,Ten Lectures on Wavelets.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Daubechies,Ten Lectures on Wavelets

Reference 39

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Observation 25744736-ad35-47ed-92c5-925434ec1fab · outbound

This paper cites Vetterli and J.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Vetterli and J

Reference 40

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Observation 15d06e17-46e4-4efa-b090-ce557a51bdca · outbound

This paper cites Conjugate gradient method — Wikipedia, the free encyclopedia,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Conjugate gradient method — Wikipedia, the free encyclopedia,

Reference 41

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Observation 139730be-1cfc-47de-8fd8-4de4cc3296fd · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Deepsdf: Learning continuous signed distance functions for shape representation,

Reference 42

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Observation bf40dfa1-b89d-4b18-ab3a-c5ee396da55d · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 43

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Observation 2ad34aa5-05d7-46b4-9a08-f989aecd27ce · outbound

This paper cites LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks

Reference 44

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Observation 6cd37ca6-1e74-4eeb-8ba9-a0c293a40a1c · outbound

This paper cites COIN: COmpression with Implicit Neural representations.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding COIN: COmpression with Implicit Neural representations

Reference 45

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Observation 38b6c897-1b49-4876-bd2a-430757ad2b36 · outbound

This paper cites D’oh: Decoder-only random hypernetworks for implicit neural representations,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding D’oh: Decoder-only random hypernetworks for implicit neural representations,

Reference 46

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Observation e072f6e3-1233-495a-a476-69109f2d1b31 · outbound

This paper cites Proximal algorithms,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Proximal algorithms,

Reference 47

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Observation 407450e8-b300-4d69-b343-4f3d85a111f2 · outbound

This paper cites an unresolved cited work.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Unresolved cited work

Reference 48

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Observation 02a98260-baf8-4039-9507-584c3187d9bf · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding A fast iterative shrinkage-thresholding algorithm for linear inverse problems,

Reference 49

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Observation 4889c4d6-0020-42c8-b402-dfda7d5057f4 · outbound

This paper cites Multi- resolution intra-predictive coding of 3d point cloud attributes,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Multi- resolution intra-predictive coding of 3d point cloud attributes,

Reference 50

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Observation d81c76c4-64a9-410f-bf67-f8e19fc2c949 · outbound

This paper cites Adaptive run-length/golomb-rice encoding of quan- tized generalized gaussian sources with unknown statistics,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Adaptive run-length/golomb-rice encoding of quan- tized generalized gaussian sources with unknown statistics,

Reference 51

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Observation 5cba77bd-c537-45d4-bfbd-83aa92752df6 · outbound

This paper cites 8i vox- elized full bodies — a voxelized point cloud dataset,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding 8i vox- elized full bodies — a voxelized point cloud dataset,

Reference 52

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Observation 679cdcd1-7baf-4512-bf2a-488ebd396c9f · outbound

This paper cites Peer upsampled transform domain prediction for g-pcc,.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Peer upsampled transform domain prediction for g-pcc,

Reference 53

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Observation 5d42bdb7-f01c-40c6-9292-ab5bf3c80f87 · outbound

This paper cites 1 + x0 −x x0 + x0 −x x0 2 +· · · # = 1 x0.

Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding 1 + x0 −x x0 + x0 −x x0 2 +· · · # = 1 x0

Reference 54

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