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Paper Citation Record · LEDGER

Efficient Text-driven Motion Generation via Latent Consistency Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.02791.

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

pith.paper-citation-record.v1
2405.02791 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:09.649967Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:03:26.170307Z

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 9ccf3e13-8612-4a38-8877-e93d03ecf01d · inbound

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline cites this paper.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Efficient Text-driven Motion Generation via Latent Consistency Training

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:09.649967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:31:09.649967Z digest=sha256:b50b3be98d0e06d5a5c5bf0363893cbef845c10481553f1a7a5514cd57ea4992

Observation 6a4a5a0c-a2c3-4316-8cc5-8134539efbb8 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges Efficient Text-driven Motion Generation via Latent Consistency Training

Reference 293

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:26.172268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:ecbabc7c443b82dc7b7e56f9073d778bb0422ba59999685048d7363b26a24ae8