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Paper Citation Record · LEDGER

Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.14828.

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

pith.paper-citation-record.v1
2312.14828 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:31.707254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:50.792960Z

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 1487d8f8-1c05-4c72-ab42-e35a4581a7cd · inbound

Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations cites this paper.

Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:37:38.955946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T06:36:47.877594Z digest=sha256:c0cf2ae3cc83ac6fe2eff922976dfe66a5a9632285c80273aa153a847d6cab9d

Observation 5a217c94-5228-4ea4-9e84-8a31cc23390d · inbound

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model cites this paper.

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:31.707254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:31.707254Z digest=sha256:b8e0cd0a0a7294589bc8d309cc0ec9f66bb348360ea834bf3cdfd70cfcf2754b

Observation 7fc0a2f2-4ef5-4038-b502-eb27146b9478 · inbound

Diffusion Model-based Activity Completion for AI Motion Capture from Videos cites this paper.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:57.099398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:57.099398Z digest=sha256:68ae9ab1e681ec54c4d1ce45e7d27b215da215fc9cf6ee7eb425d49ff0791272

Observation cd58c398-135e-40b1-b40b-fa6eeef2a84f · 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 Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:27.627762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:27.627762Z digest=sha256:87708f66140b95b1b5a9eb1cd119fe1ffd49dc89465ce3021195b17e73068a95

Observation adf6c3d4-e998-4b9e-b1a5-84e6f8448b0f · inbound

Human Motion Video Generation: A Survey cites this paper.

Human Motion Video Generation: A Survey Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-05T10:36:54.701074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:36:54.701074Z digest=sha256:e5ef88572178e4fc86885ef7974ea239777584065d2dc5e2038a3244fa5aee02

Observation 547cb179-bf88-4f0d-a15a-6086747bff29 · inbound

Re$^2$MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement cites this paper.

Re$^2$MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.577876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:42:58.700609Z digest=sha256:95a3446290b00d3dba146bc25336142a8cc3c607ad66e18104ce728ac7c17173

Observation 387e09ef-a6f2-48a1-aaf8-1734e7a540d2 · inbound

In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics cites this paper.

In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:50.794956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:15:22.022274Z digest=sha256:575947dc2929da1d7fe7e9b2e4cd465633beff18137a6559f4985bb6ec1610f4