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Paper Citation Record · LEDGER

TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.16106.

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

pith.paper-citation-record.v1
2307.16106 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:16.397466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:06:09.772330Z

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 f04b69dc-e267-4645-9fb8-92552dbabda0 · inbound

UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction cites this paper.

UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:32:16.397466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:32:16.397466Z digest=sha256:32c16090447c2b2372412739bf7d1c6786e50cf9327f642bf2d7b737e94ed8f4

Observation 520f01b6-0bf5-4bba-b1b8-262b93711f8e · inbound

Learning Reactive Human Motion Generation from Paired Interaction Data Using Transformer-Based Models cites this paper.

Learning Reactive Human Motion Generation from Paired Interaction Data Using Transformer-Based Models TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:09.774940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T12:41:42.758347Z digest=sha256:4bd8ec005cc0b36481b7eed5ae5a8c61d64d9f35b4a2c22a46c04795a2b68c81