Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.16471.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:31:22.743528Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T09:24:32.332490Z
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 38a9a5a6-aa0d-4076-acf6-89a2304329e8 · inbound
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm cites this paper.
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:31:22.743528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af3e0533-c2fb-41a9-9dd4-6616c0597363 · inbound
Fatigue-PINN: Physics-Informed Fatigue-Driven Motion Modulation and Synthesis cites this paper.
Fatigue-PINN: Physics-Informed Fatigue-Driven Motion Modulation and Synthesis A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:32:26.055971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24e02765-ef1c-4cc7-8b6a-844b6d6495df · 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 A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
Reference 155
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:35.570186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f84400e7-07e9-4b43-bd62-9d3cb76d13e0 · inbound
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations cites this paper.
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:19:16.968187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4f7f55f-9c11-45b5-8506-240d786e670c · inbound
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions cites this paper.
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:24:32.333990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.