Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:23:25.451131Z
Paper Citation Record · LEDGER
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.
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 2026-08-04T20:23:25.451131Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3f7572ba-6f7d-42d2-a25e-225b9d0727a9 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9280d346-1da5-4308-ae34-86f2e83baa91 · outbound
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
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
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
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
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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Observation 49b0edad-914d-457b-a5f7-d3007acce536 · outbound
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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Observation a73d40f3-de0f-4d8c-adc9-4ed695217aff · outbound
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
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
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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Observation dc3d1ea9-6a18-498c-81d4-9800b1bf20da · outbound
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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Observation 2336e457-1c7d-44b6-a8d6-95ed60733ab7 · outbound
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
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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Observation a033aa9b-e0be-41bb-a863-8b117f3918f1 · outbound
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
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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Observation 88c5b585-098a-4e93-8ea4-3e6c86a15005 · outbound
Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding G-PCC codec description v12,
Reference 37
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Observation aa89ba65-d048-4866-936a-dc2b36dde070 · outbound
Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding Gram matrix — Wikipedia, the free encyclopedia,
Reference 38
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Observation 9f4d0c4a-e68d-4b85-9803-b08add5d776c · outbound
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation 2ad34aa5-05d7-46b4-9a08-f989aecd27ce · outbound
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
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
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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Unavailable: canonical work link unavailable.
Observation e072f6e3-1233-495a-a476-69109f2d1b31 · outbound
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
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
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
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
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
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
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
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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No inbound Pith citation observations are available.