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Paper Citation Record · LEDGER

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos

As of 11 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2508.09811.

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

pith.paper-citation-record.v1
2508.09811 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:55:02.778169Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:34:45.931737Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:16:28.030734Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact2
  • verified fuzzy50
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 991e30cc-0b0e-4cad-a38e-f38f21a8a71d · outbound

This paper cites ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:55:03.375006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bffec406-bd9e-4491-8290-47e9283ab7b1 · outbound

This paper cites Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:57.175052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71b66fa7-d3a6-41a2-a3b3-603274e17365 · outbound

This paper cites Nerfies: Deformable Neural Radiance Fields.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Nerfies: Deformable Neural Radiance Fields

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:12.376644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:57.237609Z digest=sha256:0a53a95488f6d73afd76cd32584a38da82390487754d3eb9f386d3c23de6b8a2

Observation a9c589d3-de0c-4b6b-b6e0-bb0890275f22 · outbound

This paper cites Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:12.217292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:57.327203Z digest=sha256:1f3bcfc8679fc3096e70722850dbec2f83b43480eb583e055fde142d5cafe6a4

Observation 01322519-392b-4ba3-8766-50e539f5996c · outbound

This paper cites HexPlane: A Fast Representa- tion for Dynamic Scenes.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos HexPlane: A Fast Representa- tion for Dynamic Scenes

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:12.060127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5b1758d8-cdb4-4080-813f-8be3d7029ab3 · outbound

This paper cites Scaling physics-informed hard constraints with mixture-of- experts.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Scaling physics-informed hard constraints with mixture-of- experts

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:11.918204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e25154f7-2958-4dfa-b331-301e5b160879 · outbound

This paper cites Learning Implicit Fields for Generative Shape Modeling.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Learning Implicit Fields for Generative Shape Modeling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:57.565410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09ed86bc-a91d-4252-9da4-11a97d9eb46e · outbound

This paper cites Schwing, Alexan- der Kirillov, and Rohit Girdhar.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Schwing, Alexan- der Kirillov, and Rohit Girdhar

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:11.758910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e0fbbd3f-c728-4942-9153-1259127cb19b · outbound

This paper cites Neu- ral Unsigned Distance Fields for Implicit Function Learning.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Neu- ral Unsigned Distance Fields for Implicit Function Learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:11.599098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ee9cc661-4aae-4805-92c3-e637bc539f92 · outbound

This paper cites Learn- ing V ortex Dynamics for Fluid Inference and Prediction.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Learn- ing V ortex Dynamics for Fluid Inference and Prediction

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:11.443490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e72080f8-a4a8-466c-949a-92c82fcfffc2 · outbound

This paper cites Boot- sTAP: Bootstrapped training for tracking-any-point.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Boot- sTAP: Bootstrapped training for tracking-any-point

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:11.218199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 71be1088-097f-410e-8e3b-7d47b8fe170d · outbound

This paper cites Neural Radiance Flow for 4D View Synthesis and Video Processing.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Neural Radiance Flow for 4D View Synthesis and Video Processing

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:11.006751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d9c4a4b6-7d5f-4f6a-a140-d0f8bdc7f120 · outbound

This paper cites Fast Dynamic Radiance Fields with Time-Aware Neural V oxels.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Fast Dynamic Radiance Fields with Time-Aware Neural V oxels

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:10.695601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dbf30150-c2f4-4e40-9a80-2e44424b7120 · outbound

This paper cites Learning to Estimate Single-view V olumetric Flow Motions without 3D Supervision.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Learning to Estimate Single-view V olumetric Flow Motions without 3D Supervision

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:10.488319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:58.197587Z digest=sha256:0fbee20bbb4e1f1196e96e13fd1782e25302984f2058fe74da0842cc41bcf454

Observation 497606ec-c58d-4bf7-95c3-2a0ec8c6d640 · outbound

This paper cites K-Planes: Explicit Radiance Fields in Space, Time, and Appearance.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:10.314225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:58.226485Z digest=sha256:6e8119058a6191951c1423732326aed07bb16cd5210f616a2c14db4023c5cbab

Observation bd038fd9-b083-4352-acdf-3ba92e68b869 · outbound

This paper cites Dynamic View Synthesis from Dynamic Monocular Video.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Dynamic View Synthesis from Dynamic Monocular Video

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:10.110528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 956e1bc3-8fb5-4846-aa7b-6e88e443f87c · outbound

This paper cites Bi-level Physics-Informed Neural Net- works for PDE Constrained Optimization Using Broyden’s Hypergrandients.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Bi-level Physics-Informed Neural Net- works for PDE Constrained Optimization Using Broyden’s Hypergrandients

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:09.930322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:58.419339Z digest=sha256:1490019502912fcd0d1a43efe74d0952da2518f8379169f87ddc11ab9fb874a2

Observation 504486be-f859-447f-8896-ffc44b902df9 · outbound

This paper cites Learning to Simu- late Complex Physics with Graph Networks.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Learning to Simu- late Complex Physics with Graph Networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:09.764348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:58.449257Z digest=sha256:f8741d6d953de30d906674a06f9e1ef1cd0b9abb357bea452896e7b05466095c

Observation f8d72513-7080-4393-808e-6d41e6797fe0 · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:09.604746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:58.559160Z digest=sha256:93002c3660ac7b00c7d14be4e22e964b527ca727c2576bdef3379079ee76214d

Observation ee0b2f45-a719-4da2-84d9-28d0a9e474b0 · outbound

This paper cites MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:58.737004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:58.737004Z digest=sha256:b259a369dd4956b841aa92598ab9baa93a6c104f37baa457068a3a11cdf86f41

Observation d86946a8-a7e5-462a-825f-f58870c00624 · outbound

This paper cites NVFi: Neural Veloc- ity Fields for 3D Physics Learning from Dynamic Videos.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos NVFi: Neural Veloc- ity Fields for 3D Physics Learning from Dynamic Videos

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:09.401183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:58.834584Z digest=sha256:2f1f787b7022aeab54247f69bc8bfe5357f445a8e249b841dfef3cde8e26a12b

Observation 4b879f36-631a-4059-b02a-457be5d16cff · outbound

This paper cites Free- Gave: 3D Physics Learning from Dynamic Videos by Gaus- sian Velocity.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Free- Gave: 3D Physics Learning from Dynamic Videos by Gaus- sian Velocity

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:09.228620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.029461Z digest=sha256:6da84d366c4a9fd2cf877efd9cf28bed3e44ae8cf4e7cc6720d39653c28eb5f4

Observation b22d859c-641c-450b-aa1f-4191e04d87bf · outbound

This paper cites Neu- ral 3D Video Synthesis From Multi-View Video.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Neu- ral 3D Video Synthesis From Multi-View Video

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:08.959387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.156926Z digest=sha256:5df44ac5989772ce4de5acd001c683484c5bbc337987412eb271b82da8ca31ad

Observation 56af8d5e-38aa-4bc2-bfd6-eea16c6214f6 · outbound

This paper cites PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identifica- tion.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identifica- tion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:08.727344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.296400Z digest=sha256:83f5973c4766eae7aece05b34c843fb7e55003a6a6b0f1e1e78ace9d1554f75d

Observation 0e370017-c477-4d09-8861-273403ebe6a8 · outbound

This paper cites Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:08.431984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.410721Z digest=sha256:d8caa4ca233dafabe580556c57ff28e09921c0c8da9fbbad842800986f183dc8

Observation 6493c636-8e8d-4daf-beb2-03d7b773c518 · outbound

This paper cites Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:08.196973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.481714Z digest=sha256:6a257177542eec89734e7cf4470a0dfbbd617926cf661dfcd3759a76908b896a

Observation e8551097-7e7c-4a84-8599-09972829b030 · outbound

This paper cites From Zero to Turbulence: Generative Modeling for 3D Flow Simulation.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:08.008854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.583053Z digest=sha256:a4263dc9ed8e0b0fba26ad8b70d87cfbf1b8b9af3b564cd47ecee1387131d234

Observation 2be0e3af-3a22-40d5-be93-5b71c83bd611 · outbound

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Lawrence Zitnick, and Piotr Doll ´ar

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:07.734127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.690797Z digest=sha256:5d463e6ba88aa96e8404f9716987cfb780c10a73cf728487f2a7d06d5548321a

Observation a04c1c9b-8648-410c-a4d0-a3ab7abc239a · outbound

This paper cites Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaus- sian Particle.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaus- sian Particle

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:07.563045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:54:59.836483Z digest=sha256:0b883c6364b7acf38cbdc94a0c02a48b17af5cb0c2d4b91bae6ebc7de251c415

Observation 04d66389-67df-406c-b2f8-1da0885ecae1 · outbound

This paper cites Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:59.907866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:59.907866Z digest=sha256:e967be796c31699949ceff7749e5e654ded94da524b58b36d5e885508de634e4

Observation 501b1aaf-71d7-4162-aa04-4690a7caff4d · outbound

This paper cites Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:59.976166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:59.976166Z digest=sha256:2c26f1fcfba8ad7669543dce81923f06c2a4e188e26abb687cc917d708a7748e

Observation c2fe195c-b310-450b-aecc-e4cb84c58c3f · outbound

This paper cites Robust Dynamic Radiance Fields.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Robust Dynamic Radiance Fields

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:07.494340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.113779Z digest=sha256:f93281a9d5f91f123c1ad2c6830c029d35aa1f8211b87e9c9a9f8957ab275d9b

Observation 90b8f4b7-ace2-414c-a7e2-f949b3494cfe · outbound

This paper cites 3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos 3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:07.338507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.200339Z digest=sha256:203fa86935e167c03cacf1aab057df9474af79dba4fa2635211eddf3177b56ff

Observation c1e03d5c-f500-4440-812b-dc21d445b2ea · outbound

This paper cites Occupancy Net- works: Learning 3D Reconstruction in Function Space.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Occupancy Net- works: Learning 3D Reconstruction in Function Space

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:07.143410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.318464Z digest=sha256:8da7784b1bd3cf50c7029868dc5a834771a7c3d1a549e96162d13771c6825fca

Observation 2f7df422-5bba-416f-a8f9-537f2cefbf65 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:06.960596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.406341Z digest=sha256:ee7cbf4de51ed01110b9fb7e6a4ac95221e048dd40f1be9834b9d8f7d4f2b493

Observation f86ce704-963a-4e5a-991c-851b063527d2 · outbound

This paper cites Estimates on the generalization error of physics-informed neural networks for approximating PDEs.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Estimates on the generalization error of physics-informed neural networks for approximating PDEs

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:06.827956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.447609Z digest=sha256:bfc28795f05af825d309d71121980ef5ff2dd98c272e2cf79d1e3ac3781cdbaa

Observation b889b5f5-0821-4761-a057-a99939d23a0b · outbound

This paper cites DeepSDF: Learning Continuous Signed Distance Functions for Shape Represen- tation.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos DeepSDF: Learning Continuous Signed Distance Functions for Shape Represen- tation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:06.643042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.527051Z digest=sha256:81a00dc41791738b8d176bed507eb7183401ce92c093e2c9408821836ca037c6

Observation ad699880-4295-4008-9a35-5439aac32f9f · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin- Brualla, and Steven M.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin- Brualla, and Steven M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:06.464221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.573198Z digest=sha256:0ef64503e8d2c605751da6c2eb508dacb959a6cf79c27773b3b89166e731a61c

Observation 28b0c728-badc-4cf9-b140-9ce63dfb6c4c · outbound

This paper cites Temporal Interpola- tion Is All You Need for Dynamic Neural Radiance Fields.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Temporal Interpola- tion Is All You Need for Dynamic Neural Radiance Fields

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:06.346061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.673490Z digest=sha256:996c2b09d9aef4e3d0417f287ff51379d31a35eab643c91bb2c028b1910b05c5

Observation ebf9507d-c77f-451c-b855-8aeeaca58f53 · outbound

This paper cites D-NeRF: Neural Radiance Fields for Dynamic Scenes.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos D-NeRF: Neural Radiance Fields for Dynamic Scenes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:06.194467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.757854Z digest=sha256:bb4788f32fea6f1c0fa58d891ddac5fe32e7f9cfe3d0359bc0c463a9b8033cb1

Observation b08a9c6b-39f1-409f-8511-7c3e1d1fc67a · outbound

This paper cites an unresolved cited work.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:55:06.064748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.873630Z digest=sha256:83ebc9cb6289bea772b3c39381d46efffeb3705bd4263e265da6ab0930393478

Observation 981d1f59-678f-48ad-8fda-23bbef5e638b · outbound

This paper cites NeuSmoke: Efficient Smoke Re- construction and View Synthesis with Neural Transportation Fields.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos NeuSmoke: Efficient Smoke Re- construction and View Synthesis with Neural Transportation Fields

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:05.899954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:00.955274Z digest=sha256:1d6c3e51cb35af2c5602d7a2c6143232d7bfa8a2e248d01f63371aeb4772050d

Observation 06e4ae6c-7251-4580-8521-01aafcac8aca · outbound

This paper cites Raissi, P.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Raissi, P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:05.746449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.035819Z digest=sha256:912daf4df5497ca3654f054850070031ca09fdcf58b7de210bb6708a4d06a922

Observation 1d6ecd5f-849e-486c-9846-98d1b5dc13b3 · outbound

This paper cites Hidden fluid mechanics: Learning velocity and pres- sure fields from flow visualizations.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Hidden fluid mechanics: Learning velocity and pres- sure fields from flow visualizations

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:05.563484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.160190Z digest=sha256:cba7d64c175e6a278c5db38bfce9872617dd903db5e1f80e23b2382be4100365

Observation dce1b87f-c52d-4fce-93e7-b2db0a1502be · outbound

This paper cites an unresolved cited work.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:55:05.409920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.264584Z digest=sha256:5d0142e8b5806d6baac3ab1cac36e36d3efc8b6ff18b59ba53912ad245f11360

Observation b9309c67-eb35-4ff9-9c65-6009e590c0b7 · outbound

This paper cites Schonberger and Jan-Michael Frahm.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Schonberger and Jan-Michael Frahm

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:05.273766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.346797Z digest=sha256:1617b0fda097e729dad40df52282d0f2036dee9da01f52fe256d5cdd8eb5f89b

Observation e43d7cfc-2058-411b-88ef-af3ebb6e845c · outbound

This paper cites OGC: Unsupervised 3D Ob- ject Segmentation from Rigid Dynamics of Point Clouds.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos OGC: Unsupervised 3D Ob- ject Segmentation from Rigid Dynamics of Point Clouds

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:05.119249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.411822Z digest=sha256:278730a9ba650e1df2b9f3ed31ac9dab3c5157cf8230eeee847a4169c8d63d80

Observation 41b41a42-81a8-45c2-b19f-ba0e4ba21efe · outbound

This paper cites MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.964050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.526218Z digest=sha256:af896f1680d50d7fcf453c85dded23b33bf63dceeafb2d8299e18c69a65f045f

Observation 7ea0d150-b640-4517-8dea-9c6c26a35840 · outbound

This paper cites Non- Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene from Monocular Video.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Non- Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene from Monocular Video

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.815983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.606335Z digest=sha256:c31336ecd6e357fe288126d64550a51692f4be74c128df61dbbc3636eafc35f8

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

This paper cites Neural Trajectory Fields for Dynamic Novel View Synthesis.

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:b62098038ce66b656647fbdc25e4ef83e25177a71042d2fb1709cff951b57ca2

Observation eb5076ad-a004-491b-9489-b3cb893872f4 · outbound

This paper cites Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly Stachenfeld, and Kelsey R.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly Stachenfeld, and Kelsey R

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.678905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.735721Z digest=sha256:be634ef545d39ec3f633be5f7bed06096b102ace0a45a3f3752d1c559f39f844

Observation 4eee0562-914c-48b4-8310-67c23d85b9bf · outbound

This paper cites 4D Gaussian Splatting for Real-Time Dynamic Scene Ren- dering.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos 4D Gaussian Splatting for Real-Time Dynamic Scene Ren- dering

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.531832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.785901Z digest=sha256:fa298700ebf8617a4f0d1a00faef57b0079dedc6e5cbb217ca8ec8025dbab5da

Observation b1f883c7-ac39-4be3-9927-a16491f53b81 · outbound

This paper cites Space-time Neural Irradiance Fields for Free- Viewpoint Video.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Space-time Neural Irradiance Fields for Free- Viewpoint Video

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.402716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.904944Z digest=sha256:880b9605808ceb6b763ef0e1bae310b236345ae1d64f3e23fed79958eb1abf00

Observation e10fe8ce-a156-423d-b002-f3bdddc13b28 · outbound

This paper cites Tenenbaum, Yunzhu Li, and Hsiao-Yu Tung.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Tenenbaum, Yunzhu Li, and Hsiao-Yu Tung

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.254554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:01.989708Z digest=sha256:6f066addd8bfc30975c54bd73d912d921d1784bfe87cae265d23cbcab20a987e

Observation c6036693-d8f9-4519-81f0-918f1c1bda42 · outbound

This paper cites Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:04.102896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.067990Z digest=sha256:1b0a71253bd9b6461e57072667c68e43aa81181c52ff523246d782c3d8c31b8a

Observation 705812c7-6e1f-4b81-a884-da70739d07c7 · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Gaussian grouping: Segment and edit anything in 3d scenes

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:03.954680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.086620Z digest=sha256:bf7cc349d74dd40eac3f1bbcbe502a90c4d1a047559830e9ce90bd378e3fd113

Observation 79c90981-a84f-428a-b08e-69b4fa8ff2c9 · outbound

This paper cites Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:03.827943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.216702Z digest=sha256:3375293565af030861265f8d1b7e82f641551fc0b85c8de96072d2230c8350af

Observation 8dec3544-8894-497c-924a-845b97e60286 · outbound

This paper cites Decoupling Dynamic Monocular Videos for Dynamic View Synthesis.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Decoupling Dynamic Monocular Videos for Dynamic View Synthesis

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:55:03.130500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.344116Z digest=sha256:7ea9fb19c8fbc8705f7cf91fe688a0c563f7997bc8f31fb00a3480d2e664aefc

Observation d36985fa-0352-4a40-80db-4b57bccc333d · outbound

This paper cites PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T20:55:02.488687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:55:02.488687Z digest=sha256:1c790adda6f6a957b97159bdd16cf419728d881cff2a2110ef191ee110ffaaed

Observation c9340f19-81e8-4595-9cfe-3d59ff08f2fc · outbound

This paper cites Aditya Prakash.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Aditya Prakash

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:03.682450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.621600Z digest=sha256:008b4a48e6c50aa9aaa8a5b3adb6b36810de713823701e026506e3ac1de0648c

Observation c2fbec6a-800f-4119-bcf7-79a62ae16b6a · outbound

This paper cites Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:55:03.525586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.708773Z digest=sha256:26c7446998d64ea79b39a66397451e8e5eea6052e931fe44e2e9d09a94dcafc4

Observation d2ec1d6b-1460-4203-9e40-2ee92917b17e · outbound

This paper cites Chessboard.

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos Chessboard

Reference 62

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T20:55:03.000778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T20:55:02.778169Z digest=sha256:0ea8567b3ccb808074ceb81d4404e2c7a4badc4107210406ce881463f60ddcb6

Pith citing papers

Observation 5750ea0a-14c6-434b-ab81-7104a9221444 · inbound

CausalGS: Learning Physical Causality of 3D Dynamic Scenes with Gaussian Representations cites this paper.

CausalGS: Learning Physical Causality of 3D Dynamic Scenes with Gaussian Representations TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:28.034745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T03:34:45.931737Z digest=sha256:4ce52236657d80d852f2a60049f376c9a1bb6c1cd79e32382377ec78245fb4c3