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Paper Citation Record · LEDGER

MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.21747.

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

pith.paper-citation-record.v1
2410.21747 v2

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 2026-08-05T06:32:48.257954+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:54:58.674215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:39:57.215550Z

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 6f82544c-813a-4c9c-b787-9e4c43a67498 · inbound

Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model cites this paper.

Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T21:54:58.674215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:54:58.674215Z digest=sha256:b72015b9b50f066b6e0dc131489578ea495dd6ea689fccbad375ffe79f38d757

Observation 8f44b047-a227-4521-91b8-600e62129615 · inbound

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation cites this paper.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-03T17:06:57.754379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:06:57.754379Z digest=sha256:4568fa0c31c2261032a08dbeb58f2a31d34535b6433acb9474b92768fda25de5

Observation 8d8324f1-292d-409e-9c7a-9b332169caf3 · inbound

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body cites this paper.

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T22:04:07.403410Z digest=sha256:deeec52d2daca5f9fa7a4eba523dd4c68d2f4da8d097aee004d7770d6992fd0e

Observation b52135b7-0a04-41bc-a6a2-0c23e7cb3034 · inbound

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens cites this paper.

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T05:01:11.880003Z digest=sha256:c97bda11410169e9bbaff63e587376f4ed67f8e8266d84fe13f6ce05b00e3707

Observation c092cd7f-57c4-43fd-8759-bbd3606253aa · inbound

Next-Scale Autoregressive Models for Text-to-Motion Generation cites this paper.

Next-Scale Autoregressive Models for Text-to-Motion Generation MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T17:27:34.972785Z digest=sha256:c65722ddbf9520e21906abddcd35e488b8afaa3a92d1006734a1b2d4c08c6fdf

Observation 1221093a-bd8d-4bd2-9c33-a3ddc44c870b · inbound

Next-Scale Autoregressive Models for Text-to-Motion Generation cites this paper.

Next-Scale Autoregressive Models for Text-to-Motion Generation MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-13T12:16:25.843631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:16:25.843631Z digest=sha256:7a6a21239c88517a57be05490ec73befd189e124f738d37b8fec1eeeec85a2f5

Observation 27c246fe-5dc7-4100-a0a0-3320e134bd37 · inbound

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

ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:12:00.121501Z digest=sha256:2b1cb5d3986f5ef545524d88eb9a631e1528494ad897dade260adefea103bda8

Observation 15236b6b-d968-4a68-92ff-dadcd24357e8 · inbound

Make it Simple, Make it Dance: Dance Motion Simplification to Support Novices' Dance Learning cites this paper.

Make it Simple, Make it Dance: Dance Motion Simplification to Support Novices' Dance Learning MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:32:44.529944Z digest=sha256:6a484b95c61d4cccd3b9f468c9ec16842c6c3cc6544f39fba8b18a87cf1453e7

Observation b03a776e-da13-47f5-9640-4cd7b87051f3 · inbound

Encoder-Free Human Motion Understanding via Structured Motion Descriptions cites this paper.

Encoder-Free Human Motion Understanding via Structured Motion Descriptions MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T22:03:49.029939Z digest=sha256:4f07bb381ce0409dc5ef27b51785fe3e507cac881a7fc2e4443488077d0b4c5f

Observation e7d03d90-3bb9-4e39-98b0-3139a13287df · inbound

SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control cites this paper.

SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-09T03:06:58.894347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-25T02:38:14.542361Z digest=sha256:e6cff265279b3e4e110bf440a5a1bd081d477f75fb1badd346388a19f1fa3925

Observation 09b8116a-1be1-49ff-bbd8-8d3cfa519445 · inbound

SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control cites this paper.

SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T16:14:53.482477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T16:06:18.584337Z digest=sha256:07350d8a33210ddd0f74be7f3d5b83bfb527d824077053b1d3912364e4006fdf

Observation fa6e7fd1-9ce0-40c2-ae76-69aaeccb55ab · inbound

Fine-grained Human Motion Understanding with Language Models cites this paper.

Fine-grained Human Motion Understanding with Language Models MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-07-04T03:39:29.088553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T17:55:49.866744Z digest=sha256:3a2f751c79d06272c34676a352eb5663cc45105c6e4752978515c42807a6c421

Observation 55b2a7bb-655e-451e-9ac9-55eb914f9cff · inbound

Social Structure Matters in 3D Human-Human Interaction Generation cites this paper.

Social Structure Matters in 3D Human-Human Interaction Generation MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:39:57.217010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T00:26:51.099406Z digest=sha256:371c8bde7805eb07b5c57ed328cdbf81dd44aec0b7685cbd48cec2a2e892829b

Observation c7407be8-2292-4a7c-b68d-e435b69d64c3 · inbound

Beyond MoCap: Scaling Motion Tokenizers with Synthetic Human Motion for Generative Modeling cites this paper.

Beyond MoCap: Scaling Motion Tokenizers with Synthetic Human Motion for Generative Modeling MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-01T18:35:58.068954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T01:55:59.544336Z digest=sha256:2a2284b9724dc341f1b46e8d1d073a235d58c5b5822303c9d0e3e75488771a3a