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Paper Citation Record · LEDGER

A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.16471.

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

pith.paper-citation-record.v1
2311.16471 v1

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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:17:48.540809Z

measured 0 of 1 external citation measurements

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 cd5b356e-b5a4-4810-a2f3-5c221dbaf12f · inbound

VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension cites this paper.

VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-12T12:17:48.540809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:17:48.540809Z digest=sha256:654cc9c93b9c711a06caa8b1ddb78aa02c778f4bee1d04761de39b13e0819741

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.

source=pdf_text observed=2026-08-09T12:31:22.743528Z digest=sha256:b58b58ce4c55b79f092e392e986739f20978a72b3e2114d04a6a5320e6fdb28d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T02:31:07.263900Z digest=sha256:60bff25f634a2f2bf25912deb8314c783cab2365a36f75134aa30fd5c183e8b3

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.

source=pdf_text observed=2026-08-07T12:06:35.570186Z digest=sha256:be57fd2a2ba6470816393b0cd9136c75247097f05daa8715f5d88615b64ccd7b

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.

source=pdf_text observed=2026-08-06T21:19:16.968187Z digest=sha256:5f1bb7eb994f0d4daf8dc95666a23cbb0b0a9903b3e2f16ccb286c8bb0c60c5d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T09:21:14.912660Z digest=sha256:cd0b4c9692f0a7a66e10443dca9d839fece95105e8d517b6e2db9b4e0f467cf5