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Paper Citation Record · LEDGER

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.12034.

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

pith.paper-citation-record.v1
2403.12034 v2

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 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:07:39.521616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T21:15:33.466787Z

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 a732bb66-347e-4f7e-8099-7049ed4d9c71 · inbound

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models cites this paper.

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:15:33.468626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T21:15:33.430513Z digest=sha256:574f2b38a5a1bf13d6b7620345e0d127bfb32156894fbc2be914aaab2b7927a2

Observation 676f7bff-0527-4e90-b532-4a3ca98e5f33 · inbound

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers cites this paper.

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T11:07:39.521616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:07:39.521616Z digest=sha256:eaf2f0ef97314790b31bb03e454820ad233675d58caffc7708308749d297408b

Observation 523cc252-0a60-4e93-ad44-3b679c091df1 · inbound

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors cites this paper.

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:30.005423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:59:30.005423Z digest=sha256:523cf171d1109069335829dc99d3ba0e67956e22af754cd447db26e11657ccdd

Observation d3eb713e-08a8-4d75-ab5d-23a0f6e77722 · inbound

Lyra 2.0: Explorable Generative 3D Worlds cites this paper.

Lyra 2.0: Explorable Generative 3D Worlds VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:25:59.550472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:30:57.712342Z digest=sha256:ee7e34c419904d379e96382db14deac35c1341ddfacbc28870e85becab17366f