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Paper Citation Record · LEDGER

T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2301.06052.

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

pith.paper-citation-record.v1
2301.06052 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:24.676425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:48.481235Z

Reference resolution

0 of 0 outbound references displayed

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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 678e7055-e8b9-485b-8439-eadcb6b9647b · inbound

MSDformer: Multi-scale Discrete Transformer For Time Series Generation cites this paper.

MSDformer: Multi-scale Discrete Transformer For Time Series Generation T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:44:52.864469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eea0af3e-f649-4c0f-b726-89e05622776f · inbound

Absolute Coordinates Make Motion Generation Easy cites this paper.

Absolute Coordinates Make Motion Generation Easy T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:24.676425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 47b9ecd6-67b5-43ac-b2b8-7def70600694 · inbound

HuMoCon: Concept Discovery for Human Motion Understanding cites this paper.

HuMoCon: Concept Discovery for Human Motion Understanding T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T13:48:16.105127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ddec582f-0f91-4d1d-bf6c-2431be7d0aa3 · inbound

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model cites this paper.

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:47.278728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:47.278728Z digest=sha256:b97672c0bd88a35ca668ba59b83b5174782eaf1da146565bdeeb8b2b35dd463f

Observation 2f6a3af9-82b8-498e-a5f3-f83eb2d47eb4 · 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-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:28.489373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:28.489373Z digest=sha256:99893a45426171408aec5a487a5931a76d0c843c4e8833e725fc09acd83d0c50

Observation 693afb26-81c7-471f-aa18-a8119ba42eae · inbound

Music-Aligned Holistic 3D Dance Generation via Hierarchical Motion Modeling cites this paper.

Music-Aligned Holistic 3D Dance Generation via Hierarchical Motion Modeling T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:08.856786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3965b005-6eb6-4a0a-a7dd-b44e4c00a38c · inbound

ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos cites this paper.

ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:01:13.196991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9ec621af-d7da-44f6-a773-210c50e5192a · inbound

SDFlow: Similarity-Driven Flow Matching for Time Series Generation cites this paper.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 30

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T19:31:10.867246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3c7a16f2-e5b7-4bab-94dd-a963aa8ba8dd · inbound

SDFlow: Similarity-Driven Flow Matching for Time Series Generation cites this paper.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 31

Resolution
malformed identifier
arxiv_id, observed 2026-05-12T07:06:28.330590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 887bfdc1-c570-4bf4-bf22-b6fc40255ffe · inbound

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation cites this paper.

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:27:24.785978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7af403c7-f6d6-4499-8655-0ba52bb6bb09 · inbound

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation cites this paper.

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T14:19:03.954128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:19:03.954128Z digest=sha256:70188f1daa18a46f7e1ebaa85275da08b939f11e02553ae9935122b6d83d4f7c

Observation e90b632d-3157-428d-9561-34246629d960 · inbound

Natural Human Motion Recovery by Aligning High-Order Temporal Dynamics from Monocular Videos cites this paper.

Natural Human Motion Recovery by Aligning High-Order Temporal Dynamics from Monocular Videos T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:48.483101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T18:11:40.053961Z digest=sha256:945003ad1c71ded50d852540be5c7c3825cfaef7b129206d4191fbf25a97b345

Observation 8cf8a982-e813-486f-85a3-50534511f0e0 · inbound

AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling cites this paper.

AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:15.595427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0a8df728-d112-41da-89f5-79700947e755 · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T12:14:40.345769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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