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Paper Citation Record · LEDGER

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting

As of 7 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.

pith.paper-citation-record.v1
2506.04174 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:26.370795Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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.

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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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

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

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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

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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

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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

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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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

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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

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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

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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

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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unresolved
no resolver link, observed 2026-08-07T10:52:26.286571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:26.286571Z digest=sha256:14c2c132b8d641ce6e1b03058c61a01b8790a4cb71f4abb10a8d307adb3726be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.291030Z digest=sha256:6ba9a42683cda4099d88164671d18a7ccea7f6e6489ef91ce292321968fe3481

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.

source=pdf_text observed=2026-08-07T10:52:26.295328Z digest=sha256:bf83a482cfaa6f5c7aa2c60eca4f96bb173e61d0a977068a5c5f3485bf4cb98c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.300204Z digest=sha256:8df9666798e40ac83f7f021c4727e4619a64a0e8483f757fe1f2a8b2efdd4036

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.304697Z digest=sha256:71ec0515f39d0df86f47efed8e087a236f98c287218a07603b05376b204bf005

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.309000Z digest=sha256:0a00b285ff74717cd53c599e1e9e55fa7e511749273401995e082b1da3e4be1c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.313381Z digest=sha256:3496d17f5e328535c46bfacfcddc25d21e6e4cfde81eecf6ff1dcf6d785b98db

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.317674Z digest=sha256:8d413a14fe07e58741edd2d18a1d21df9c2dcb0c66f254cdd5f15dca75b468ae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.321935Z digest=sha256:fbb5bc0a2c669139a68b565f7bca91ca28efe8de715b05508d7f4cdf6e41de44

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.326593Z digest=sha256:313d0501ff6acf784a96ac603e4c00541e4630c2dc3dddf0f6073b0b569694bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.330759Z digest=sha256:d6073a67b4efe5aa87e9cf2e34871e26582dc4203466bd7d1f3b6708ac70b148

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.

source=pdf_text observed=2026-08-07T10:52:26.335352Z digest=sha256:11b9e327d0d5b85023970f9921f37969e1cf65e44ca000ff590222f6b7219f32

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.339884Z digest=sha256:13007680ab453a4745ac4c8e4fe4c696e1a2e7b9d3c8ccbc5dfc26ceb1ba5b78

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.

source=pdf_text observed=2026-08-07T10:52:26.344430Z digest=sha256:1c2b479f5d4377beef4dee5a62167935266a0bb8b4823c19d94e6bde84931339

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.348793Z digest=sha256:ba1ea91c3d1d7e888268da5d74fd1b6403dc3399458c7a5b828bcc2db9d8cc88

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.

source=pdf_text observed=2026-08-07T10:52:26.353085Z digest=sha256:58f4cdb675dbd02848fd90a28a88ea0755e3a596c187ec320f34999d71b23b5b

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.

source=pdf_text observed=2026-08-07T10:52:26.357634Z digest=sha256:9063d9bfe8a1c39e8a2112ad87eae5153de6c334123ba381b0cc596150a22b80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.361843Z digest=sha256:68c33918858a1cbf33c5f62eee1ec7922a54a59a095e2d32195129be9bcfde6b

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.

source=pdf_text observed=2026-08-07T10:52:26.366071Z digest=sha256:7ba4a20cb8ebca591339f8830a165b5542c6b8eb7f736c03dba52fa9dca37768

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:52:26.370795Z digest=sha256:58e302033bf0bf311459402d9452f882659be0444157bf3787955a3a82aa3698

Pith citing papers

No inbound Pith citation observations are available.