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Paper Citation Record · LEDGER

Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.18912.

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

pith.paper-citation-record.v1
2410.18912 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:53:02.264297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:50:57.733862Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 49c64a63-f274-4ff9-82d9-672757ef9704 · inbound

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation cites this paper.

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T21:53:02.264297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:02.264297Z digest=sha256:1046fee740c288ab884907f89e731e66e373771db9adb20ec0c45cdfd08918d4

Observation 2ab13798-ed08-485f-b28a-e142db3e77cb · inbound

SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation cites this paper.

SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T05:25:03.553934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:25:03.553934Z digest=sha256:4b0c2db391d9468db3bc5169fc3b0b3db76f211faa7a8eea66c0da96ee197d75

Observation b19b72d5-42e6-491c-9b90-f0d79c94d361 · inbound

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video cites this paper.

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:57.739989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:57:29.556084Z digest=sha256:1080a89f27b4cf3595943540817d595213b54f7e598232cddc3d7563912c5342

Observation 44e050b4-e6bc-40c3-adca-a9354cfd5ab4 · inbound

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation cites this paper.

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-02T05:13:45.774818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:13:45.774818Z digest=sha256:a192fc20403087518c1610abaf6c78cfe14f39c5f6449d77d425a0e7f05b33ec