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Paper Citation Record · LEDGER

GenM$^3$: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.14919.

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

pith.paper-citation-record.v1
2503.14919 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:25:00.937399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:21:07.124659Z

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 074d66a8-dc9d-46de-8522-ad5c6e489d2a · inbound

Language-Guided Transformer Tokenizer for Human Motion Generation cites this paper.

Language-Guided Transformer Tokenizer for Human Motion Generation GenM$^3$: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T03:25:00.937399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:25:00.937399Z digest=sha256:19adabd4d9a7c4ed37bdc9ef5d40c098e9791c6014d1c7eff608a401cd39d487

Observation dcc91699-8833-4404-87bc-b5967f55e65f · inbound

Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs cites this paper.

Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs GenM$^3$: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:21:07.126920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T21:59:00.442135Z digest=sha256:2fbe33eb5275a292bf214db5c2331e89cc4d5634b8eaa648cbd012884e8c7003