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Paper Citation Record · LEDGER

Generative Human Motion Stylization in Latent Space

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.13505.

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

pith.paper-citation-record.v1
2401.13505 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:11.906197Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:37:52.321667Z

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 c4c536d9-2c48-45d2-9c0b-cf878d8bce75 · inbound

Absolute Coordinates Make Motion Generation Easy cites this paper.

Absolute Coordinates Make Motion Generation Easy Generative Human Motion Stylization in Latent Space

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:11.906197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:11.906197Z digest=sha256:c3a5c3c004899722ce84863cd99955b74fb7e3bf4022439eda404398fa35aba2

Observation 4405e4f3-4b7f-43e1-8b4a-ee01315dff7d · inbound

MotionPersona: Characteristics-aware Locomotion Control cites this paper.

MotionPersona: Characteristics-aware Locomotion Control Generative Human Motion Stylization in Latent Space

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:43.897876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:16:43.897876Z digest=sha256:0cc6a851e16ca09c634c6773e6f402066e2fce6fd9f810d9caeb3e15799b7a00

Observation 233ed8c7-96ff-4981-8831-7d77969307af · inbound

Motion Generation: A Survey of Generative Approaches and Benchmarks cites this paper.

Motion Generation: A Survey of Generative Approaches and Benchmarks Generative Human Motion Stylization in Latent Space

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:30:14.904829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:30:14.904829Z digest=sha256:76c325ddc5ec0992183a354916ed8c19435c18cbc12e66caa7e6733d59b27d6e

Observation f538ae60-9867-43e9-b2d7-e9a5040438d6 · inbound

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation cites this paper.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Generative Human Motion Stylization in Latent Space

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T19:06:01.313451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:06:01.313451Z digest=sha256:2b8b60975955dd79eac0a506e3d3f2318d15c0834d0e919b371edf6fb4dbe852

Observation ac15106c-a678-4b94-a05c-28abfe5097fd · inbound

Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation cites this paper.

Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation Generative Human Motion Stylization in Latent Space

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:37:52.325304Z

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=arxiv_source observed=2026-05-14T19:34:36.761760Z digest=sha256:d63be9332e9754c245c9eb6e6cdbfa700e37f1c4cb3fe6a4ae92091c54b98d11

Observation 33b95e1d-b015-4ddb-8bad-db1c0f24ae2b · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation Generative Human Motion Stylization in Latent Space

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-03T12:14:49.314105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:14:49.314105Z digest=sha256:8156f6167b4ed97e2303745a3aabd2bee6f168083d129e4295024e5939c067a7