Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
T2M-HiFiGPT: Generating High Quality Human Motion from Textual Descriptions with Residual Discrete Representations
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.10628.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:17:48.440771Z
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
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4ae46c7d-fb89-470f-a0e6-3c662054aae3 · inbound
VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension cites this paper.
VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension T2M-HiFiGPT: Generating High Quality Human Motion from Textual Descriptions with Residual Discrete Representations
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:17:48.440771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7bb6102-98e5-4d0e-bd9f-79e0b0561fdf · 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 T2M-HiFiGPT: Generating High Quality Human Motion from Textual Descriptions with Residual Discrete Representations
Reference 122
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:06:42.768840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.