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Paper Citation Record · LEDGER

Neural Volumes: Learning Dynamic Renderable Volumes from Images

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:1906.07751.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.07751 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:53:04.601404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:45.490382Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 63b138e8-4bf0-4633-8969-3b25575f02c6 · inbound

Learnable Infinite Taylor Gaussian for Dynamic View Rendering cites this paper.

Learnable Infinite Taylor Gaussian for Dynamic View Rendering Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 25

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no resolver link, observed 2026-08-11T21:38:19.133318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:38:19.133318Z digest=sha256:67f651f95f25099bf7f4e8929c498305b040af8f40b97a161645dec94d4863de

Observation 40e51e88-214a-4ca8-94f0-8c5a8f1da15e · inbound

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction cites this paper.

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 28

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no resolver link, observed 2026-08-11T23:06:43.958922Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:06:43.958922Z digest=sha256:4d8a9a32319d09b8f3a2dc65a5e84e685775784e8e0a568fd3cc1aa97e6058b4

Observation 9b7e82e9-b265-46db-babf-0de91cde8b19 · inbound

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving cites this paper.

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 51

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no resolver link, observed 2026-08-11T17:26:29.109688Z

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source=pdf_text observed=2026-08-11T17:26:29.109688Z digest=sha256:bd6289c46648224c51ef3d5969605fc7eed22479ccea786aed1187d2030324d6

Observation 15eca8e5-6579-4a03-8e1a-3ea82269ae82 · inbound

Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories cites this paper.

Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 18

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no resolver link, observed 2026-08-11T16:29:23.334343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:29:23.334343Z digest=sha256:e8c3c0c12959e0d1a7ac2aa7e22f0c9e25bdeac7377a3e0a50b9ba7de5c888ac

Observation 36cdfb5c-6a7b-4858-bbd7-3c1082ff9b5c · inbound

3D$^2$-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling cites this paper.

3D$^2$-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 23

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no resolver link, observed 2026-08-11T14:51:38.381372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:51:38.381372Z digest=sha256:ac98aa71b015fce53a71c86d41cded7797052be881fa46de1434447ff54d14c0

Observation ea9b7f52-77bc-44b2-9c39-7df4ec57220d · inbound

CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image cites this paper.

CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 31

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no resolver link, observed 2026-08-11T13:39:38.944421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:39:38.944421Z digest=sha256:439cbb09a342055b4d331149a0bae2f38378cb6f64f59cd44172a576b1274ffe

Observation c3ceeca5-3105-4bc5-8cca-f08af52bcf66 · inbound

GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians cites this paper.

GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 16

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no resolver link, observed 2026-08-11T12:40:03.771335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:03.771335Z digest=sha256:7705ac35b341234efcc3c0cc84a4362363df30b2cb8c9c5d328790ac0999e8a2

Observation ffe9faec-f3a4-43fe-996b-b5c6e3be89d0 · inbound

SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars cites this paper.

SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 2021

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no resolver link, observed 2026-08-11T11:37:49.753253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:37:49.753253Z digest=sha256:8bb8cdaab89c461e0c540bf8105555b575424ec24e762e1ef74380451c5b1f20

Observation fcbd0b79-d63d-40ad-9d12-74167d46fcbd · inbound

SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstruction cites this paper.

SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstruction Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 28

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no resolver link, observed 2026-08-11T11:31:32.811646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:31:32.811646Z digest=sha256:d46d36f55f60520721e089e23a27ab028807d423ac1ff7c015c6255952e27199

Observation 91ae3eb3-1005-44f4-b6ae-faa691971f7a · inbound

High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting cites this paper.

High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 56

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no resolver link, observed 2026-08-08T22:06:52.347077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:06:52.347077Z digest=sha256:e288ce1a49584b6b4eddd933ad49fb5cf3dce8b3bc71beec9610aefe3c4635aa

Observation af070367-b6dc-469b-8668-60348432bcad · inbound

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models cites this paper.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 20

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no resolver link, observed 2026-08-07T15:26:18.855371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:18.855371Z digest=sha256:3026f090f31d1d31f7d4c02f876d2b389e670cd3a7e9f0363dca4c368e8e08d5

Observation 0058e544-8f25-4a91-8989-a5427bc28831 · inbound

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting cites this paper.

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:12:15.599118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T11:07:41.269976Z digest=sha256:327d3884a2c7dae072da3cd3e0d22eb8b05d64ad7d57ba7ec357ca11a98fab74

Observation 72f78ee1-99de-41f9-ba5b-d5747856284c · inbound

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images cites this paper.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 44

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no resolver link, observed 2026-08-07T05:33:47.803779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:47.803779Z digest=sha256:b9cc3de4ddbf00d04583d4791dcf96b9972d243857170b4a0f217803b283395b

Observation 376f6ffa-a795-49cc-8cf9-e4abdbf00575 · inbound

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos cites this paper.

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 51

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no resolver link, observed 2026-08-07T04:42:15.871938Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:15.871938Z digest=sha256:ffea670a5dfa560906c632c55d754023ddeebf6e82de7f5aa9d1983c2eff2cf3

Observation 66ce1a4c-4745-4b4d-a84b-f89f7db056af · inbound

Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors cites this paper.

Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 26

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no resolver link, observed 2026-08-07T00:48:19.383591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:19.383591Z digest=sha256:5f590e7bb74bf36d87a89455738012d9bb88c4020e0da76a5f0f47f711567817

Observation 6481730f-29bb-491f-bc52-f1b1f5968c5a · inbound

ViscoReg: Neural Signed Distance Functions via Viscosity Solutions cites this paper.

ViscoReg: Neural Signed Distance Functions via Viscosity Solutions Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 2021

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no resolver link, observed 2026-08-06T21:27:42.234910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:27:42.234910Z digest=sha256:af4f2871b5e5f82ea3facc3069004890d4facb860d93221a841ccc03f20a0758

Observation 18676673-241d-4bee-8b2a-43616a1b7cba · inbound

LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling cites this paper.

LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 28

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no resolver link, observed 2026-08-06T20:35:31.050800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:31.050800Z digest=sha256:8b1cdb5a71a96cf5c298fa0665e34aa0cedd4a7a79995b6f64e1800a9e2d9cfb

Observation bc1c6fa8-78cf-4aa8-bd85-d3930ccc915b · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.768072Z digest=sha256:1192eb1baecddf057d42642b4dae4518938448e1887489ab51b87835d46a9a22

Observation 3467dcb7-509b-4c02-9eab-679e45cdf0a1 · inbound

Perceive-Sample-Compress: Towards Real-Time 3D Gaussian Splatting cites this paper.

Perceive-Sample-Compress: Towards Real-Time 3D Gaussian Splatting Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 23

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no resolver link, observed 2026-08-05T23:43:54.739760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:43:54.739760Z digest=sha256:eb65b309699dd63893cbcb95165471887dbf8923e46449af5edf5ddfb2f65ec4

Observation 197f0107-c983-4be8-ab2f-77b1f21effcb · inbound

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling cites this paper.

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 32

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no resolver link, observed 2026-08-05T17:46:20.288909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:46:20.288909Z digest=sha256:94cd3275615aa0a49d9aaa850196697f3ec494429c5832a33702f0014c853798

Observation 2f8feea8-f0c2-442c-98af-465e5c6224d0 · inbound

Improving 3D Gaussian Splatting Compression by Scene-Adaptive Lattice Vector Quantization cites this paper.

Improving 3D Gaussian Splatting Compression by Scene-Adaptive Lattice Vector Quantization Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 3

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verified exact
arxiv_id, observed 2026-05-21T21:45:40.479962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T21:44:59.956068Z digest=sha256:902f88ae0ab8f859f86139cd61051743bdc12cc170cbec93fa43f9f8e01b6018

Observation 178f6cdf-c92c-43e7-be85-124c4e5c3d5a · inbound

Long-LRM++: Preserving Fine Details in Feed-Forward Wide-Coverage Reconstruction cites this paper.

Long-LRM++: Preserving Fine Details in Feed-Forward Wide-Coverage Reconstruction Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 21

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verified exact
arxiv_id, observed 2026-05-16T23:58:42.926740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T23:55:17.041763Z digest=sha256:aaa50838c95145cfdaf100d0165cd9be699b6ff0d96d511235f1b1f19760cc2a

Observation 3176c361-c582-4002-a8a1-45d509c0bc8e · inbound

ClipGStream: Clip-Stream Gaussian Splatting for Any Length and Any Motion Multi-View Dynamic Scene Reconstruction cites this paper.

ClipGStream: Clip-Stream Gaussian Splatting for Any Length and Any Motion Multi-View Dynamic Scene Reconstruction Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 16

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arxiv_id, observed 2026-05-10T13:45:28.004325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:42:36.136404Z digest=sha256:e47d5e0075dabef91a78f5a0559cdeecc7ecf5597a9001e6ed281afc38e92d71

Observation 187b49f7-b40d-4096-a9a4-add245f9acbb · inbound

Wispy to Voluminous: Prior-free Multi-view Capture of Strand-level Facial Hair cites this paper.

Wispy to Voluminous: Prior-free Multi-view Capture of Strand-level Facial Hair Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 35

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arxiv_id, observed 2026-07-02T22:07:26.762960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T19:06:56.847779Z digest=sha256:771ca887982ad12cd3e4b361334eae8f9bd89b9d4afb6ae81c0b85c7b805271c

Observation a5eb63c6-5fcf-4bb4-9a01-d711ec1ad4dd · inbound

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale cites this paper.

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 39

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verified exact
arxiv_id, observed 2026-07-03T17:48:45.492210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T03:52:18.411651Z digest=sha256:91932024387541b75e58acc7d762147e387ff714ee5cdc63e78bb0bea6736b15

Observation 6330805e-d910-4bba-92e8-14a3a3b7576c · inbound

Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting cites this paper.

Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 31

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verified exact
arxiv_id, observed 2026-06-30T07:04:21.669321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T06:58:21.697133Z digest=sha256:3eb265e20e9537cfb67e505507a2088154366c16feaacdf02b690eac457522be

Observation 760d1471-0628-4ab1-815a-4d850cbd8863 · inbound

Decoupled Illumination Priors for Spatially Controllable Multi-View Indoor Scene Relighting cites this paper.

Decoupled Illumination Priors for Spatially Controllable Multi-View Indoor Scene Relighting Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 38

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no resolver link, observed 2026-07-13T06:04:46.992388Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:04:46.992388Z digest=sha256:6a77474794198dbad68556efed6735d2b61666567161e356eb6e2d036d1ed081

Observation 981260b6-6806-4347-9b58-fbf6de5fc4d3 · inbound

Implicit representations are dead. Long live explicit primitives! cites this paper.

Implicit representations are dead. Long live explicit primitives! Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 16

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no resolver link, observed 2026-08-12T00:53:04.601404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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