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Paper Citation Record · LEDGER

Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.07680.

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

pith.paper-citation-record.v1
2405.07680 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:36:11.912764Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T21:36:12.326116Z

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 1e3c9347-bdf0-40d0-b732-2fac801a18ad · inbound

Text-driven Motion Generation: Overview, Challenges and Directions cites this paper.

Text-driven Motion Generation: Overview, Challenges and Directions Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:36:12.332629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T21:36:11.912764Z digest=sha256:3b1c348d6e852be5e6fe490a52328a1804c879a19755bc7ab4371f894f3753a0

Observation 1994f956-62b6-4bee-8ec1-6c82a35b458b · 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 Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:23.640596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:23.640596Z digest=sha256:1bff57c79cc9075fac34609424013463a312d16b872162f4dfecd789d1c01ae6