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Paper Citation Record · LEDGER

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.07598.

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

pith.paper-citation-record.v1
2608.07598 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:35:43.636869Z

measured 25 of 25 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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  • verified fuzzy1
  • unresolved20
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73c99216-fee3-481b-b3a6-dca81e2f1ce6 · outbound

This paper cites Yuchen Lin, Chenguo Lin, Jianjin Xu, and Yadong Mu.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Yuchen Lin, Chenguo Lin, Jianjin Xu, and Yadong Mu

Reference 8

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Observation 4290ba9e-6c02-49d2-8edb-53106428f500 · outbound

This paper cites OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation

Reference 9

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source=pdf_text observed=2026-08-11T00:35:43.567734Z digest=sha256:64c524b1d2bd695f7e9b62facf83b1326c2fff7fac4afb04b5c98feb1531da75

Observation 9901b79a-2350-442b-9499-21ff5d6745ec · outbound

This paper cites Qiaowei Miao, Jinsheng Quan, Kehan Li, and Yawei Luo.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Qiaowei Miao, Jinsheng Quan, Kehan Li, and Yawei Luo

Reference 11

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source=pdf_text observed=2026-08-11T00:35:43.575545Z digest=sha256:1d9413748e664c7acd33da93b68ed99a05e69301819720431fe9eadf4170de0d

Observation ece31f66-3a67-4be3-9e5d-15b58f165671 · outbound

This paper cites PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting

Reference 12

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Observation 9d5b4a75-1be5-4aae-a174-27451a8ecfa3 · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 14

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source=pdf_text observed=2026-08-11T00:35:43.587920Z digest=sha256:87d6ab63321fb0dafa9c5e869a7573dbe8efdcd2f4e84414a34bd38f8c9c2be1

Observation fc807218-62bf-41e4-9229-13b63bc8fdd2 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 16

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Observation a08c3f7b-e3ea-4345-99ca-9cad138002e8 · outbound

This paper cites Yinghao Xu, Zifan Shi, Yifan Wang, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, and Gordon Wetzstein.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Yinghao Xu, Zifan Shi, Yifan Wang, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, and Gordon Wetzstein

Reference 18

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source=pdf_text observed=2026-08-11T00:35:43.602716Z digest=sha256:3672242ed6e9ea86274ddc5a216cfa1500267179c64ef08d59faf1cf95d28859

Observation cce350e7-fd8d-4f1a-858b-9371264d8a2a · outbound

This paper cites Qiyao Xue, Xiangyu Yin, Boyuan Yang, and Wei Gao.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Qiyao Xue, Xiangyu Yin, Boyuan Yang, and Wei Gao

Reference 19

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source=pdf_text observed=2026-08-11T00:35:43.606082Z digest=sha256:1c336586ac01f4f39b5a35a4e5b8851fde4007416fb84c9fcc7f9c6174647773

Observation 9e6c300d-2464-40ec-a39d-f41b881fba4e · outbound

This paper cites Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang, Jianfeng Feng, Yu-Gang Jiang, and Philip H.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang, Jianfeng Feng, Yu-Gang Jiang, and Philip H

Reference 20

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Observation 5b2c97c2-4e73-4dbb-88d9-0fdc8a59d6dd · outbound

This paper cites 4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation 4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives

Reference 21

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source=pdf_text observed=2026-08-11T00:35:43.613470Z digest=sha256:30d46801ff73305777f7a72c8035dba4a14a1f412265e9dca621723aec870ff5

Observation 18eb244a-4e9a-45ca-9f42-903d2897af91 · outbound

This paper cites Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation

Reference 22

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source=pdf_text observed=2026-08-11T00:35:43.617496Z digest=sha256:01cdf154ea2d40df69a99428a0c20ed9306ffd4f4abaf3a6f6c5c47d627414e2

Observation 83402f05-1953-4592-aa1a-8537f9408753 · outbound

This paper cites Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation

Reference 23

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

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Observation a6bd793d-edf5-4981-bbd1-184a097bec6b · outbound

This paper cites 11 Appendix This appendix is organized as follows.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation 11 Appendix This appendix is organized as follows

Reference 24

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Observation 9cda45a3-a74f-46eb-a438-475894db66d7 · outbound

This paper cites an unresolved cited work.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Unresolved cited work

Reference 25

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Observation 67ac38aa-fa97-4d15-bda4-ad16effec6a3 · outbound

This paper cites Neither renderer affects the state metrics.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Neither renderer affects the state metrics

Reference 26

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

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Observation 03e49e8a-cb8a-4174-951f-fce3f0bdd77e · outbound

This paper cites The vectors p,v,s,u∈R 3 are position, velocity, scale, and scale rate.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation The vectors p,v,s,u∈R 3 are position, velocity, scale, and scale rate

Reference 27

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raw_fallback, observed 2026-08-11T00:35:44.304130Z

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

source=pdf_text observed=2026-08-11T00:35:43.636869Z digest=sha256:a1ae86483268e905b03b32ae7664e7b8fcc9638900414ce6d07e7aafa892a7e0

Observation bed4255c-75ca-433f-923b-3bf667531f28 · outbound

This paper cites Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, and Ziwei Liu.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, and Ziwei Liu

Reference 1985

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Observation 14a1ac69-6bbd-4ed1-9bd8-66c53a36675f · outbound

This paper cites an unresolved cited work.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Unresolved cited work

Reference 1993

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Observation a2c47b54-032f-421d-a9c7-23bcfc147ec4 · outbound

This paper cites Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis

Reference 2002

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Observation ecffdb48-6dcb-4d85-a19e-6213872727e4 · outbound

This paper cites Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Reference 2019

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Observation b5c1d3b0-1d03-4458-9b81-5ed33aafbf32 · outbound

This paper cites Lagrangian Neural Networks.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Lagrangian Neural Networks

Reference 2020

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Observation bf0995d5-5879-4688-bef2-2d3edc41cec8 · outbound

This paper cites Lagrangian Neural Networks.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Lagrangian Neural Networks

Reference 2021

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Observation 5e2d6564-8c30-4135-b749-ce63976d8086 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation DreamFusion: Text-to-3D using 2D Diffusion

Reference 2022

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Observation e708d637-1921-49de-b71a-2a525835a575 · outbound

This paper cites Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin

Reference 2023

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Observation 6bb19566-61ab-476b-93b0-72d0d9ae7406 · outbound

This paper cites Xavier Glorot and Yoshua Bengio.

NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation Xavier Glorot and Yoshua Bengio

Reference 2025

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Pith citing papers

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