Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:26.370795Z
Paper Citation Record · LEDGER
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.04174.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
Reference resolution
52 of 52 outbound references displayed
- verified exact2
- verified fuzzy28
- unresolved22
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a5a05e58-671c-4689-bdcb-1464b6f35da0 · outbound
This paper cites 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.142024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11be65b6-f966-4363-bf9f-19da1b066ca2 · outbound
This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.252741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 424e73f9-df06-4c13-916d-69d8f9cfb352 · outbound
This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Zip-nerf: Anti-aliased grid-based neural radiance fields
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.238443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 885119fc-4a88-47a9-b3f7-f2e40c076c2a · outbound
This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Once-for-All: Train One Network and Specialize it for Efficient Deployment
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.157558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c0fa268-d6f1-47c0-b5e4-eb1ad08faf17 · outbound
This paper cites Flextron: Many-in-One Flexible Large Language Model.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Flextron: Many-in-One Flexible Large Language Model
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.162208Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd936d81-28ce-4395-bfe6-51d94787b3f7 · outbound
This paper cites Hexplane: A fast representa- tion for dynamic scenes.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Hexplane: A fast representa- tion for dynamic scenes
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.223052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff777412-5850-4d0f-bbba-d3b482eaddc6 · outbound
This paper cites Tensorf: Tensorial radiance fields.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Tensorf: Tensorial radiance fields
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.172248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89a44d21-e23e-4c1a-8c13-7452c9fbc034 · outbound
This paper cites How far can we compress instant-ngp-based nerf? In Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition, 2024.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting How far can we compress instant-ngp-based nerf? In Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.198810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 924b619d-07ef-437d-9c45-48ad0de51b9f · outbound
This paper cites Compressing ex- plicit voxel grid representations: fast nerfs become also small.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compressing ex- plicit voxel grid representations: fast nerfs become also small
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.183704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a453170c-95eb-43be-8210-775013c2bb8b · outbound
This paper cites LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.185711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6f51e25-0151-4264-9d85-0280c0a7fa9c · outbound
This paper cites K-planes: Explicit radiance fields in space, time, and appearance.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting K-planes: Explicit radiance fields in space, time, and appearance
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.190021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9171cc85-f880-4ecd-828a-94683fc5e4b5 · outbound
This paper cites K-planes: Explicit radiance fields in space, time, and appearance.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting K-planes: Explicit radiance fields in space, time, and appearance
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.159946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e057e6a5-d2cd-4ed9-89cf-df24ed2e48ff · outbound
This paper cites EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.198850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93c9736b-068a-45e5-8e29-c5e7367726a3 · outbound
This paper cites Shacira: Scalable hash-grid compression for implicit neural representations.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Shacira: Scalable hash-grid compression for implicit neural representations
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.144875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0049d682-9fa4-4a42-99a7-de5d802634d2 · outbound
This paper cites Dragon: Drone and ground gaussian splatting for 3d building reconstruction.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Dragon: Drone and ground gaussian splatting for 3d building reconstruction
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.130049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b13b6e82-50b1-4bfd-9e7e-95a51b80fd05 · outbound
This paper cites Categorical Reparameterization with Gumbel-Softmax.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Categorical Reparameterization with Gumbel-Softmax
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.212010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19eb4f64-4676-43b9-a616-bab3d908247f · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.216507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f00ad1a5-9e29-4fc7-806a-fc8f5a00c28e · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4):1–14, 2023.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4):1–14, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.105515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8a34cf14-5d6d-4289-b58e-66274a92e839 · outbound
This paper cites Color-cued efficient densification method for 3d gaussian splatting.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Color-cued efficient densification method for 3d gaussian splatting
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.090738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2859d100-2012-4637-85f0-deb5a4ac3dfa · outbound
This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13, 2017.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13, 2017
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.229753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 441eedfa-f3d1-4088-94d9-3051bcf5d18d · outbound
This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13, 2017.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13, 2017
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.066049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e30b7869-6fbd-4de7-9db0-fbe4006eab12 · outbound
This paper cites MatFormer: Nested Transformer for Elastic Inference.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting MatFormer: Nested Transformer for Elastic Inference
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.238301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29d7b4f2-03fe-4e14-b595-79abd8863ce5 · outbound
This paper cites Matryoshka representation learning.Advances in Neu- ral Information Processing Systems, 35:30233–30249, 2022.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Matryoshka representation learning.Advances in Neu- ral Information Processing Systems, 35:30233–30249, 2022
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.051484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f3162bb8-d123-457d-9a2e-fb018e032420 · outbound
This paper cites Pulsar: Effi- cient sphere-based neural rendering.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Pulsar: Effi- cient sphere-based neural rendering
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:27.036239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5ca459d7-b06c-4af7-b3a5-a1994f22c359 · outbound
This paper cites Compact 3d gaussian representation for radiance field.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compact 3d gaussian representation for radiance field
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.251694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 366b0858-1df7-42f7-8f70-ef370cc5549f · outbound
This paper cites Compressing volumetric radiance fields to 1 mb.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compressing volumetric radiance fields to 1 mb
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.256046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ec1af73-d5a7-43ac-9ac2-93283ac8569d · outbound
This paper cites Compact real-time radiance fields with neural code- book.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compact real-time radiance fields with neural code- book
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.999649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 86e87d02-a2ae-4036-96ca-d6d4fbab8ddb · outbound
This paper cites Vastgaussian: Vast 3d gaussians for large scene reconstruction.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Vastgaussian: Vast 3d gaussians for large scene reconstruction
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.984257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cb9e01d9-92a1-47b8-99a8-1a74199f5e50 · outbound
This paper cites Citygaussian: Real-time high-quality large-scale scene rendering with gaussians.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Citygaussian: Real-time high-quality large-scale scene rendering with gaussians
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.269049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e49f3e5-72d2-4bb7-8bd9-1694d27f4294 · outbound
This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Scaffold-gs: Structured 3d gaussians for view-adaptive rendering
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.959807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cbc06ea5-20a8-4ff7-a846-92c5eafae6da · outbound
This paper cites The concrete distribution: A continuous relaxation of discrete random variables.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting The concrete distribution: A continuous relaxation of discrete random variables
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.945092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 41d94cf0-e37f-4b36-93d3-e4e857985195 · outbound
This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.282048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edbbacce-86fe-49f9-81ed-3c4ae184f831 · outbound
This paper cites Compact 3D Scene Representation via Self-Organizing Gaussian Grids.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compact 3D Scene Representation via Self-Organizing Gaussian Grids
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.286571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8458c1d1-931f-47e6-8080-81c7dff800be · outbound
This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM Transactions on Graphics (ToG), 41(4):1–15, 2022.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM Transactions on Graphics (ToG), 41(4):1–15, 2022
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.920070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f6076258-dbbf-4cd8-a740-55770e7e5bc3 · outbound
This paper cites CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.295328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f7d751c-df19-4d74-b795-8d61d22053ea · outbound
This paper cites Compgs: Smaller and faster gaussian splatting with vector quantization.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compgs: Smaller and faster gaussian splatting with vector quantization
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.905012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 977e5178-be97-4865-b0c1-512d1e2c2083 · outbound
This paper cites Compressed 3d gaussian splatting for accelerated novel view synthesis.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compressed 3d gaussian splatting for accelerated novel view synthesis
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.890472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 937f63ef-d7d7-4c22-a95e-34cad61e48c6 · outbound
This paper cites Reducing the memory footprint of 3d gaussian splatting.Proceedings of the ACM on Computer Graphics and Interactive Tech- niques, 7(1):1–17, 2024.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Reducing the memory footprint of 3d gaussian splatting.Proceedings of the ACM on Computer Graphics and Interactive Tech- niques, 7(1):1–17, 2024
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.875227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e6bd8465-3593-4aef-b1e0-b6a500dbed95 · outbound
This paper cites Masked wavelet representation for compact neural radiance fields.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Masked wavelet representation for compact neural radiance fields
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.859160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9ae4664e-b785-41bd-a7ed-b9c619dcccfe · outbound
This paper cites Binary radiance fields.Ad- vances in neural information processing systems, 2023.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Binary radiance fields.Ad- vances in neural information processing systems, 2023
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.844681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 23a0fa07-2ab1-4aa0-bfce-affb7712ef92 · outbound
This paper cites SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:52:26.596216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c5e2d0d7-b6af-4ef2-8e07-ba6999ab2dbc · outbound
This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.829465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f4e994bb-ff72-4ccb-8cee-5b133b4b1497 · outbound
This paper cites Compressible-composable nerf via rank-residual de- composition.Advances in Neural Information Processing Systems, 35:14798–14809, 2022.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Compressible-composable nerf via rank-residual de- composition.Advances in Neural Information Processing Systems, 35:14798–14809, 2022
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.813674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b8558a92-56be-462d-b936-975b65e166e8 · outbound
This paper cites End-to-End Rate-Distortion Optimized 3D Gaussian Representation.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting End-to-End Rate-Distortion Optimized 3D Gaussian Representation
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.335352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09afc5b4-033a-4d3a-9b2d-7b1603e36e33 · outbound
This paper cites 4d gaussian splatting for real-time dynamic scene rendering.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting 4d gaussian splatting for real-time dynamic scene rendering
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.798507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 48f57abb-2968-43ad-9ae9-6ea3b7d06976 · outbound
This paper cites Differentiable surface splatting for point-based geometry processing.ACM Transactions on Graphics (TOG), 38(6):1–14, 2019.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Differentiable surface splatting for point-based geometry processing.ACM Transactions on Graphics (TOG), 38(6):1–14, 2019
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.344430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e4245ca-6b79-43dc-ad46-abb74878829c · outbound
This paper cites Universally slimmable net- works and improved training techniques.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Universally slimmable net- works and improved training techniques
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.773244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 591ab5a2-088b-4433-948d-e4a2802d2f14 · outbound
This paper cites Slimmable Neural Networks.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Slimmable Neural Networks
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.353085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1cab469-a98f-4f9c-b556-29c5e16a274d · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.357634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3527eb00-afea-45e9-bfd7-127e01bd4f8b · outbound
This paper cites Gs-hider: Hiding messages into 3d gaussian splatting.Advances in Neural Information Processing Sys- tems, 37:49780–49805, 2024.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Gs-hider: Hiding messages into 3d gaussian splatting.Advances in Neural Information Processing Sys- tems, 37:49780–49805, 2024
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:52:26.748469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1eecc338-e9de-4a81-b50a-940e5b0a9e75 · outbound
This paper cites SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:52:26.366071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f7b520c-981c-415e-814b-8ddd08251f38 · outbound
This paper cites chain rule.
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting chain rule
Reference 52
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T10:52:26.528470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.