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Paper Citation Record · LEDGER

Neural Volumes: Learning Dynamic Renderable Volumes from Images

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:06:52.347077Z

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

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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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unresolved
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:d525be875e94a22d4c38a6b8500cfc763d9a4c33a29840060c8b10dd76083763

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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unresolved
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:f2d6533e1ed56793988c392276291f28142f14e20e6bfb273a36258d4db831d1

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:07:41.269976Z digest=sha256:fbd61d7ad75ddc4b49f678a5568ae9ee2dbe462e60c1444ed2640f8950138795

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=sha256:8ed54b58a913fbda4218247a6f6464ea0a2c3f1796f467c40dc90a145ed1a7a5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:15.871938Z digest=sha256:afcf2c9fc24fa9e29f974e5aa8948dcbc443124251c4e8d89b6d71550f9a07d5

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

Resolution
unresolved
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=sha256:399bdb542862c67e7efbe9741bf05c3d901b459edadec10ccf9fbe43fecbbed2

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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unresolved
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=sha256:43d4777dff063027471e5cc4e60dffb021b9fd9ec03900fdfcad3f89a2e9f4d9

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

Resolution
unresolved
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:f4531727dbfe02b805012752e54f033cecda241293861e3f89196a3ba21e6443

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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unresolved
no resolver link, observed 2026-08-06T10:59:53.768072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.768072Z digest=sha256:c67cdbc58c122b61ef3cff1d05b524d5424cd50fbaefbf2c8e0c27c0abf15c2d

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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unresolved
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=sha256:437210e49f5aab326c00c4590d5c98baf9e9b549fee652b53332b26bbdd46462

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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unresolved
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=sha256:51491c7844d8988269c23cecdfa90e9a3012b13531776b30e10ab966c523f306

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T21:44:59.956068Z digest=sha256:f2c66e1861e3fcee01ab9e5de6475ff0b43066731b4dc4582e9fbc12fa1a924c

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T23:55:17.041763Z digest=sha256:e83bf97256c2ce2a547ff84c15a91e451a08159e70d9924596e009b442fcd1f1

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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verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:42:36.136404Z digest=sha256:2e899f56f89238def6db65cbc88eacd4feeac90ce898ba080cfe2196111214e0

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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metadata mismatch
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T19:06:56.847779Z digest=sha256:d26eda3afdb037edc66153c3030c666d98d865020caf6a197a5d8f84c6acf45f

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T03:52:18.411651Z digest=sha256:2b98b402e9ceb0e9d12f2943f68c05e841f63e7b7e87564b6c1aff24379a0ce5

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T06:58:21.697133Z digest=sha256:342ed1e9b8bd00a19af2592355368140b004891f707adbe8297aab0abb3875c4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:04:46.992388Z digest=sha256:4d3d884c79575f11f0010edb7e0d9374ace3177f7ca0edf319347ef5b255b836