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Paper Citation Record · LEDGER

Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.12315.

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

pith.paper-citation-record.v1
2210.12315 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:55.023180Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

2
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 67dc76cb-9b5c-41f8-8b18-eeaea24ba5d2 · inbound

Pixel Motion as Universal Representation for Robot Control cites this paper.

Pixel Motion as Universal Representation for Robot Control Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.023180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.023180Z digest=sha256:13dcd5b4a5513e90e034a6a6a4fa64d37e5fe36a45ecb937870df796acb286b6

Observation 360d6336-75b0-49e9-8baf-ce34c43f8774 · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

Reference 131

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:06:41.921414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:06:33.314982Z digest=sha256:012872b9a7383c80f81641c6ea9d70b9e5f6ba721b341efe05d74fd90efb3028