Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.16468.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:28.094059Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:05:17.642636Z
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 502250e9-bde4-468f-88cb-5466b62721b0 · 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 AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:28.094059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca5481eb-bacb-49ec-bf30-869238a627ac · inbound
MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction cites this paper.
MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:05:17.648713Z
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.