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Paper Citation Record · LEDGER

Neural Trajectory Fields for Dynamic Novel View Synthesis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2105.05994.

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

pith.paper-citation-record.v1
2105.05994 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:24:25.179030Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:47:02.166139Z

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 9fde2564-df89-47dc-8cf5-b55e84d9f639 · inbound

Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos cites this paper.

Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:24:25.179030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:24:25.179030Z digest=sha256:ba88be12a94bd0264ec75fa6f581166e377c8b9d9df0e593480a3e0a730e159b

Observation 3431f7dc-3ee8-4f3b-820b-7fcdff5079fd · 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 Trajectory Fields for Dynamic Novel View Synthesis

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:15.958630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:15.958630Z digest=sha256:69226ace44f493bc116aede3565fc03b8988d20e75b450359d95eae332ef41cc

Observation 04f3013b-bb42-4b6d-9133-a5bce33425a6 · inbound

HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis cites this paper.

HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:34.441841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:34.441841Z digest=sha256:8728a96d861dd1d590626025795fc131242040c07cba3a743241fc643329fd54

Observation d96fb4e2-fee4-4077-9bc0-3bed4844e37e · inbound

Reconstructing 4D Spatial Intelligence: A Survey cites this paper.

Reconstructing 4D Spatial Intelligence: A Survey Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T13:02:28.747523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:02:28.747523Z digest=sha256:42277cc1e22fbf648d7bca85718b369ec1d7717104fa01ec6858167a9c5b2041

Observation f899ef97-d46c-4f30-8f4a-79dbf3c73648 · inbound

3D Gaussian Representations with Motion Trajectory Field for Dynamic Scene Reconstruction cites this paper.

3D Gaussian Representations with Motion Trajectory Field for Dynamic Scene Reconstruction Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T22:22:05.059897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:22:05.059897Z digest=sha256:ff9c15aa8b3f66df9c677fb31df867126aef952a13b510bad1506b199d917c72

Observation 2b130d16-af24-459e-8b5c-2d823fdb850b · inbound

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos cites this paper.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T20:55:01.656384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:55:01.656384Z digest=sha256:283dc41b18145d07ebe5aabef8c977ee4a8d20e3eff38fb59bb5f4d3e3f3ff54

Observation c1a0803c-d280-44e1-8dd1-20746722ec8e · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 293

Resolution
unresolved
no resolver link, observed 2026-08-04T08:45:17.146001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:45:17.146001Z digest=sha256:7e27ab8e72635af5a22a76dc009c6ec526feedf0fec0c7f757ac36a20017a3ff

Observation 3958ff03-9fee-49c6-90b6-babbe2384c0e · inbound

Gaussians on Fire: High-Frequency Reconstruction of Flames cites this paper.

Gaussians on Fire: High-Frequency Reconstruction of Flames Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-03T19:52:31.332012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:52:31.332012Z digest=sha256:a7d4267154fcca600b7720bc40815c793c103901b6d33dffb5718f33895cc7c3

Observation 512617ce-0d63-476c-be26-252373f33817 · inbound

LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction cites this paper.

LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:06:19.013846Z

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=arxiv_source observed=2026-05-12T03:04:30.056684Z digest=sha256:377bb85d12489caac98fcc7fe7d5443c92a5f13d075f91d628490e1eeba24a84

Observation 62561436-fdbd-492e-8134-9cd362134bf6 · inbound

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction cites this paper.

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:47.259242Z

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=2026-06-28T23:07:50.491677Z digest=sha256:0b64f9e1d4a26625e6f045729b290b3d69d55f47466ea4006bd41b57e316e381

Observation f08aa2ac-4c9c-451b-afb8-a89123181fac · inbound

MotionVLA: Injecting Geometric Motion into Vision-Language-Action Model cites this paper.

MotionVLA: Injecting Geometric Motion into Vision-Language-Action Model Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:25.740540Z

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=2026-06-27T19:24:59.678266Z digest=sha256:2d14d405ca08ebd862c7c53fde4bc593aabb84b14f9fce65d955ec701073bdf2

Observation 392eea44-7338-4a06-87ce-25b9afee9425 · inbound

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting cites this paper.

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T10:47:02.167418Z

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=2026-07-10T10:37:15.252017Z digest=sha256:b158f753502d18e02265bd693dd404d534427c3beafc0b63a515db7dcddbf8b5

Observation 0d1a6e2d-44b9-469b-810c-cc685f3781bf · inbound

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting cites this paper.

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T15:37:19.276654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:37:19.276654Z digest=sha256:7938dea5b93d79315e7798d84c127aa0ab71d3d2e78c1070932b0265fcc8d692

Observation 86e347d0-cab3-4e4b-b3c7-217e182bb06f · inbound

FillGS: Filling Observation Gaps in 4D Gaussian Splatting via Viewpoint-Time Selection and Generative Refinement cites this paper.

FillGS: Filling Observation Gaps in 4D Gaussian Splatting via Viewpoint-Time Selection and Generative Refinement Neural Trajectory Fields for Dynamic Novel View Synthesis

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T10:03:30.760417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:03:30.760417Z digest=sha256:67b8279758fef89c4c83a9ba4c077f1e441cd323d055d88e07ac99f4a4a2a8a2