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Paper Citation Record · LEDGER

DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.00112.

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

pith.paper-citation-record.v1
2312.00112 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:31.019985Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:18:54.132714Z

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 f7b5a507-dcdf-4f41-aa07-624f706a369a · inbound

A Survey on 3D Gaussian Splatting cites this paper.

A Survey on 3D Gaussian Splatting DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:18:54.137189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T04:17:05.906282Z digest=sha256:80ced35be948a62b60e8d5e2d5f69ec8b7967d6a0ee4d94898f28854dda65e1b

Observation f618f07d-cadc-4f87-95f5-7c9410049b34 · 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 DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:31.019985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:31.019985Z digest=sha256:03dab4b74433885cf6d9105ef3b702d057e32a73bd50732f1081dfd931a84777

Observation 3f15200c-4c13-46ed-807e-c8278ac81ab9 · 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 DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T22:22:04.920884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:22:04.920884Z digest=sha256:a147b5fd9375997b7e47fc9bfc4fd17fed3292791e8961e07d20dc13f52c0191

Observation bcc556b7-bb7a-4fa8-b6ed-aabe50ff7412 · inbound

Realizing Immersive Volumetric Video: A Multimodal Framework for 6-DoF VR Engagement cites this paper.

Realizing Immersive Volumetric Video: A Multimodal Framework for 6-DoF VR Engagement DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:45:56.133734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:58:12.638616Z digest=sha256:4f8c65c6205fe8ce83ef5213983634339a6ac9b399c7bc0d88d281b11e8b4f54

Observation 7a376427-7dc9-4c30-ae5e-97dc81cf6bdc · 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 DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.031089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:42:36.136404Z digest=sha256:31c75181e6060330a4f70985ac0b3a24cc2009e344e1d550cafb576016f5225e

Observation bebc0838-1f5a-4300-9790-5ebee78debe0 · inbound

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans cites this paper.

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T04:24:27.036170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:24:27.036170Z digest=sha256:6c19a9aeabc142e4971c2b8bca88887765af3b32f272df0c3061926062aeef35