Paper Citation Record · LEDGER

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation

As of 5 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 3 inbound Pith citation observations for arXiv:2512.10730.

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

pith.paper-citation-record.v1
2512.10730 v2

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:06:59.492530Z

measured 103 of 103 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:48:24.383009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:38:19.010849Z

Reference resolution

100 of 109 outbound references displayed

verified exact0
verified fuzzy0
unresolved97
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39706b0b-38f4-4472-ae15-b8282580ed04 · outbound

This paper cites interleaving reasoning: Next-generation reasoning systems for agi.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation interleaving reasoning: Next-generation reasoning systems for agi

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.468656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a01c19-6505-4761-8447-6b4ca20de224 · outbound

This paper cites introducing openai o3 and o4-mini.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation introducing openai o3 and o4-mini

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.494641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f0f2b1-ba20-4233-91d7-cb8d54d2cfd2 · outbound

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

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.531502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c40a33fc-fa13-4c37-bbe4-e6b2a1f0b6ca · outbound

This paper cites Executing your commands via motion diffusion in latent space.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Executing your commands via motion diffusion in latent space

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.571153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd8abe7-10b0-41ed-88cd-7c1ed1d406fc · outbound

This paper cites Thinking with Generated Images.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Thinking with Generated Images

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.616428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f27fc0-ab1e-4e0f-9d1b-5e791a24044c · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Emerging Properties in Unified Multimodal Pretraining

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.649241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ba3741-eed0-46fb-a25a-14a436173334 · outbound

This paper cites Go to zero: Towards zero-shot motion generation with million-scale data.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Go to zero: Towards zero-shot motion generation with million-scale data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.691255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5450353-038d-4dac-a264-4d7fa7247780 · outbound

This paper cites GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.722954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2af2d311-aeac-4bed-9644-aa2dee621322 · outbound

This paper cites Love-r1: Advancing long video understanding with an adaptive zoom-in mechanism via multi-step reasoning.arXiv preprint arXiv:2509.24786,.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Love-r1: Advancing long video understanding with an adaptive zoom-in mechanism via multi-step reasoning.arXiv preprint arXiv:2509.24786,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.766830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40bc1d4a-c7b9-47fd-882b-f85cad42ac1f · outbound

This paper cites Reasoning robustness of llms to adversar- ial typographical errors.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Reasoning robustness of llms to adversar- ial typographical errors

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.803346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3a67e0-af99-4a3e-a643-2ca914893159 · outbound

This paper cites Thinkmorph: Emergent properties in multimodal interleaved chain-of-thought reasoning.arXiv preprint arXiv:2510.27492, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Thinkmorph: Emergent properties in multimodal interleaved chain-of-thought reasoning.arXiv preprint arXiv:2510.27492, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.840291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6451c3d5-9fc6-41a3-bf95-3bfaf4c40529 · outbound

This paper cites Ac- tion2motion: Conditioned generation of 3d human motions.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Ac- tion2motion: Conditioned generation of 3d human motions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.875620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34bbc13-b488-49d2-9009-72ce29bbcfb1 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Generating diverse and natural 3d human motions from text

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.895951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92817f07-3bde-4c8e-8e42-aecf80a6dd7f · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.934563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e64a3bc0-4c93-4f5e-8fc3-6415e2b24806 · outbound

This paper cites Momask: Generative masked model- ing of 3d human motions.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Momask: Generative masked model- ing of 3d human motions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:54.973758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3eaaf17-b54e-40c9-9fad-9b988a50a1c8 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.006930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681df705-201f-46aa-8e51-37705bfac745 · outbound

This paper cites Atom: Aligning text-to-motion model at event-level with gpt-4vision reward.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Atom: Aligning text-to-motion model at event-level with gpt-4vision reward

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.048469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 476f92af-868c-4705-b373-889ea28e8cbe · outbound

This paper cites SemanticBoost: Elevating Motion Generation with Augmented Textual Cues.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation SemanticBoost: Elevating Motion Generation with Augmented Textual Cues

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.060837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ccbdcd6-8eb8-46bd-b900-b4c913f1ec7d · outbound

This paper cites Egolm: Multi-modal language model of egocentric motions.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Egolm: Multi-modal language model of egocentric motions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.097730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3616e3ec-ce3d-4240-baf0-17eb8c30fada · outbound

This paper cites Motionverse: A unified multimodal framework for motion comprehension, generation and edit- ing.arXiv preprint arXiv:2509.23635, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motionverse: A unified multimodal framework for motion comprehension, generation and edit- ing.arXiv preprint arXiv:2509.23635, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.113147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61469251-2f0d-4e8d-a01d-e8a6b39f7596 · outbound

This paper cites Language is not all you need: Aligning perception with language mod- els.Advances in Neural Information Processing Systems, 36:72096–72109, 2023.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Language is not all you need: Aligning perception with language mod- els.Advances in Neural Information Processing Systems, 36:72096–72109, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.151055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4ba74c-4fae-4ac1-a9d8-8357d14b0a7a · outbound

This paper cites Interleaving Reasoning for Better Text-to-Image Generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Interleaving Reasoning for Better Text-to-Image Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.166111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503f38c9-bf4d-47f0-a401-9f09078c1398 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.191917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246d1d0f-e835-4b8d-aeef-214b69236a30 · outbound

This paper cites GPT-4o System Card.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation GPT-4o System Card

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.228764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f9dfd7-8ad4-4012-8524-0c611f135736 · outbound

This paper cites Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.290791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bcd059-4035-4431-bf0a-cf7af3a9b4aa · outbound

This paper cites OpenAI o1 System Card.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation OpenAI o1 System Card

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.308609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db5362c0-83c7-4e7d-9cc7-30d7a68e0df2 · outbound

This paper cites Motiongpt: Human motion as a foreign lan- guage.Advances in Neural Information Processing Systems, 36:20067–20079, 2023.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motiongpt: Human motion as a foreign lan- guage.Advances in Neural Information Processing Systems, 36:20067–20079, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.351990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7983ab46-49a7-4f12-9159-853685ae2ef5 · outbound

This paper cites Motionchain: Conversational motion controllers via multimodal prompts.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motionchain: Conversational motion controllers via multimodal prompts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.435927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55810da1-2077-49eb-aa1a-cc9b99a6786f · outbound

This paper cites Causal motion tokenizer for streaming motion generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Causal motion tokenizer for streaming motion generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.520305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8552b6ab-0018-4605-88eb-224b19a75e27 · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.560762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5a49d5-3634-44b3-a671-29ae92f45cb9 · outbound

This paper cites Unitoken: Harmonizing multimodal understanding and generation through unified vi- sual encoding.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Unitoken: Harmonizing multimodal understanding and generation through unified vi- sual encoding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.618517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64a0d08-fc20-43ae-afdb-ddab3a0ab605 · outbound

This paper cites Motion Generation: A Survey of Generative Approaches and Benchmarks.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motion Generation: A Survey of Generative Approaches and Benchmarks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.658962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf018749-e329-4b9f-92e5-bf9f9e9cf553 · outbound

This paper cites an unresolved cited work.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.724548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11be5b41-5d72-4447-b105-d2a0fb56b693 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.806855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e63cca-9593-4413-ba93-bd8fd9672804 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.853444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a3ff22-92db-496e-afc4-987062807ce6 · outbound

This paper cites LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.923921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16fc800-426e-4d7b-b76a-2bd472f60d35 · outbound

This paper cites Re- momask: Retrieval-augmented masked motion generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Re- momask: Retrieval-augmented masked motion generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.972279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013db039-1faa-43a3-a59c-3c694fafee7b · outbound

This paper cites Mixture-of- transformers: A sparse and scalable architecture for multi- modal foundation models.Transactions on Machine Learn- ing Research, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Mixture-of- transformers: A sparse and scalable architecture for multi- modal foundation models.Transactions on Machine Learn- ing Research, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.052354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7b2763-e802-4f3d-ab09-244cbcf9d303 · outbound

This paper cites RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.104197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b97cec-0c77-4c44-93fc-aae2fc3637db · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Rouge: A package for automatic evaluation of summaries

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.201492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d0f902a-72c4-4bd0-bff1-b520f3c94506 · outbound

This paper cites The quest for generalizable motion generation: Data, model, and evaluation.arXiv preprint arXiv:2510.26794,.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation The quest for generalizable motion generation: Data, model, and evaluation.arXiv preprint arXiv:2510.26794,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.255846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cefd6232-1bb9-4583-8759-b017bdf1af4b · outbound

This paper cites Panoptic captioning: An equivalence bridge for image and text.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Panoptic captioning: An equivalence bridge for image and text

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.284895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb47cc5-40ba-45b6-a6d0-d237418860e6 · outbound

This paper cites Evaluating text-to-visual generation with image-to-text gen- eration.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Evaluating text-to-visual generation with image-to-text gen- eration

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.362806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56ceb1a-d05e-4cb3-99b8-a1149bfa99d5 · outbound

This paper cites MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.393617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6fdd1b-6386-4593-bab4-16aa93303720 · outbound

This paper cites Scamo: Exploring the scaling law in au- toregressive motion generation model.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Scamo: Exploring the scaling law in au- toregressive motion generation model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.424648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e020a09b-70e5-4841-a4e1-fbd2e18c21c4 · outbound

This paper cites M3gpt: An ad- vanced multimodal, multitask framework for motion com- prehension and generation.Advances in Neural Information Processing Systems, 37:28051–28077, 2024.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation M3gpt: An ad- vanced multimodal, multitask framework for motion com- prehension and generation.Advances in Neural Information Processing Systems, 37:28051–28077, 2024

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.439316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2bdef08-3e10-44e4-8c55-8c298fbab5a6 · outbound

This paper cites Troje, Ger- ard Pons-Moll, and Michael J.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Troje, Ger- ard Pons-Moll, and Michael J

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.470755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c950a1-370e-4da6-b2d7-395bb958baa5 · outbound

This paper cites Learning Generalizable Human Motion Generator with Reinforcement Learning.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Learning Generalizable Human Motion Generator with Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.489597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a5ca0d-c982-4677-bc24-b23ef8781cd1 · outbound

This paper cites Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.526984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e52ab111-83f5-42c7-8ff1-07f288eb7288 · outbound

This paper cites Absolute Coordinates Make Motion Generation Easy.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Absolute Coordinates Make Motion Generation Easy

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.583534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddfaad43-dd4e-439d-b562-8aff80efb619 · outbound

This paper cites Motion-r1: Chain-of-thought reasoning and reinforcement learning for human motion generation.arXiv preprint arXiv:2506.10353, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motion-r1: Chain-of-thought reasoning and reinforcement learning for human motion generation.arXiv preprint arXiv:2506.10353, 2025

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.629456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151eaa7f-21d9-4cc8-934e-ad908f1e2f0d · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Bleu: a method for automatic evaluation of machine translation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.705749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e2c982-06cf-43b7-9963-5cb70619b44e · outbound

This paper cites MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.758016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97193441-c6cf-43aa-a1f0-609bf59bdbee · outbound

This paper cites Black, and G ¨ul Varol.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Black, and G ¨ul Varol

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.811798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b094b9c-7786-443a-aebd-01b97f7775fa · outbound

This paper cites Bamm: Bidirectional autoregressive motion model.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Bamm: Bidirectional autoregressive motion model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.840245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7734bd98-f485-4e19-b758-506b0c0463c6 · outbound

This paper cites Mmm: Generative masked motion model.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Mmm: Generative masked motion model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.899311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1342a72-8a46-4d58-a56a-51b82df6328b · outbound

This paper cites The kit motion-language dataset.Big data, 4(4):236–252,.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation The kit motion-language dataset.Big data, 4(4):236–252,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:56.951973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b95409a-f738-4ca7-bbc8-cafd809629ae · outbound

This paper cites Uni-cot: Towards unified chain-of-thought reasoning across text and vision.arXiv preprint arXiv:2508.05606,.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Uni-cot: Towards unified chain-of-thought reasoning across text and vision.arXiv preprint arXiv:2508.05606,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.041986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec1c598-6958-4114-87b7-354d6d09eeeb · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.095223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3109b3af-79cd-447e-b153-1731c825b285 · outbound

This paper cites BREAK-THE-CHAIN: Adversarial Prompting in Code Generation, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation BREAK-THE-CHAIN: Adversarial Prompting in Code Generation, 2025

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.130749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae3a820-64b0-4e6b-b70c-471b899f1316 · outbound

This paper cites Proximal Policy Optimization Algorithms.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Proximal Policy Optimization Algorithms

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.256637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbb3504-52d7-42c6-a347-818f2aff3fe4 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.312561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83a9ccde-6ec1-41fe-878f-e1b9bd413e0a · outbound

This paper cites Unlocking Pretrained LLMs for Motion-Related Multimodal Generation: A Fine-Tuning Approach to Unify Diffusion and Next-Token Prediction.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Unlocking Pretrained LLMs for Motion-Related Multimodal Generation: A Fine-Tuning Approach to Unify Diffusion and Next-Token Prediction

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.377453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b10e3fd-7ce6-4045-bc81-7b0598e03b9a · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.456402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae33f43-4812-4241-b29d-d0738b8f489a · outbound

This paper cites Human Motion Diffusion Model.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Human Motion Diffusion Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.539588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b38ec3c-2179-40d5-af80-196d76ed7d67 · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Cider: Consensus-based image description evalua- tion

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.595057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05f48c52-641f-49fa-b7d6-8897de3cb9e2 · outbound

This paper cites Aligning Human Motion Generation with Human Perceptions.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Aligning Human Motion Generation with Human Perceptions

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.660666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c3842e1-3c4c-44ca-bab9-4a30815ca66e · outbound

This paper cites Image as a foreign language: Beit pretraining for vision and vision- language tasks.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Image as a foreign language: Beit pretraining for vision and vision- language tasks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.694462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding.

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.

Observation 3bf215e6-821b-47b0-8d55-b7c47ebb497e · outbound

This paper cites Scaling Large Motion Models with Million-Level Human Motions.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Scaling Large Motion Models with Million-Level Human Motions

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.818861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b64248-062c-431e-800d-f083d8c778ef · outbound

This paper cites Mg-motionllm: A unified framework for motion comprehension and gener- ation across multiple granularities.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Mg-motionllm: A unified framework for motion comprehension and gener- ation across multiple granularities

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.877488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b43ddf8-2a52-4ed1-8c08-51624a0e48d7 · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:57.942013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2bf71b-1dfa-40e9-b025-49f492d0fd0f · outbound

This paper cites Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.004105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d31264-d99b-489d-a295-4f7e87275235 · outbound

This paper cites MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.070074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da37344-61b4-4213-9462-35253f521789 · outbound

This paper cites Vimorag: Video-based retrieval-augmented 3d mo- tion generation for motion language models.arXiv preprint arXiv:2508.12081, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Vimorag: Video-based retrieval-augmented 3d mo- tion generation for motion language models.arXiv preprint arXiv:2508.12081, 2025

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.131983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989bbc0d-b4b0-49a7-b020-b24727629a89 · outbound

This paper cites Cross-modal retrieval for motion and text via droptriple loss.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Cross-modal retrieval for motion and text via droptriple loss

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.163378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db287bc8-c77a-47f5-8af5-f26966e13914 · outbound

This paper cites Motionscript: Nat- ural language descriptions for expressive 3d human motions.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motionscript: Nat- ural language descriptions for expressive 3d human motions

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.195508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4161c6-594c-4092-b9e7-0ac3713aa1be · outbound

This paper cites Exploring vision transformers for 3d human motion-language models with motion patches.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Exploring vision transformers for 3d human motion-language models with motion patches

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.222277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 520a74da-b9fe-447f-9584-33d2d5c900e2 · outbound

This paper cites Remogpt: Part-level retrieval-augmented motion-language models.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Remogpt: Part-level retrieval-augmented motion-language models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.280456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7cc3a2-4e5f-4c01-8acf-dd70d5c5bd06 · outbound

This paper cites Mogents: Motion generation based on spatial-temporal joint modeling.Neural Information Processing Systems (NeurIPS), 2024.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Mogents: Motion generation based on spatial-temporal joint modeling.Neural Information Processing Systems (NeurIPS), 2024

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.316369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1927f9bc-b7a0-4430-a37f-d95c8d35d4f7 · outbound

This paper cites Light-t2m: A lightweight and fast model for text-to- motion generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Light-t2m: A lightweight and fast model for text-to- motion generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.419417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b473a051-3a65-42e6-bca2-6c20bae4c84e · outbound

This paper cites T2m-gpt: Generating human motion from textual de- scriptions with discrete representations.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation T2m-gpt: Generating human motion from textual de- scriptions with discrete representations

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.451040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b1327c-347f-44a8-ab5b-a159e9c18129 · outbound

This paper cites Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.520524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc734f14-99a3-4e84-a554-d4bfaad96df5 · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.629156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 348bbb27-3649-40ba-b2ba-f2612c2501ed · outbound

This paper cites Re- modiffuse: Retrieval-augmented motion diffusion model.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Re- modiffuse: Retrieval-augmented motion diffusion model

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.681104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04bc7206-e17a-413f-93b7-14e3052afa31 · outbound

This paper cites Finemogen: Fine-grained spatio- temporal motion generation and editing.NeurIPS, 2023.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Finemogen: Fine-grained spatio- temporal motion generation and editing.NeurIPS, 2023

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.719337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af90ae4e-bacc-4a89-bace-8413dd82a6bd · outbound

This paper cites Motiondif- fuse: Text-driven human motion generation with diffusion model.IEEE transactions on pattern analysis and machine intelligence, 46(6):4115–4128, 2024.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motiondif- fuse: Text-driven human motion generation with diffusion model.IEEE transactions on pattern analysis and machine intelligence, 46(6):4115–4128, 2024

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.754206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa052a42-d613-4502-a361-4286c3fc57df · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation BERTScore: Evaluating Text Generation with BERT

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.819354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec98fe80-ea8e-46eb-af43-89b3d03dd821 · outbound

This paper cites Motion mamba: Efficient and long sequence motion generation.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Motion mamba: Efficient and long sequence motion generation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.862406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47bcf77d-5929-42a3-9b44-4b8540134b59 · outbound

This paper cites AIA: Rethinking Architecture Decoupling Strategy In Unified Multimodal Model.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation AIA: Rethinking Architecture Decoupling Strategy In Unified Multimodal Model

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.883350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446bbb04-7637-46d8-a632-23510b273b09 · outbound

This paper cites Mo- tiongpt3: Human motion as a second modality.arXiv preprint arXiv:2506.24086, 2025.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Mo- tiongpt3: Human motion as a second modality.arXiv preprint arXiv:2506.24086, 2025

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.927146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa6c661-9958-4189-a08f-d1184b81139e · outbound

This paper cites From reflection to perfection: Scaling inference- time optimization for text-to-image diffusion models via re- flection tuning.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation From reflection to perfection: Scaling inference- time optimization for text-to-image diffusion models via re- flection tuning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:58.952061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e7fba3-351c-454b-b367-7357d1e64345 · outbound

This paper cites 8, we provide more preliminaries about: (1) Text- to-Motion Generation task definition; (2) Motion VQV AE; (3) Motion-aware LLM; (4) GRPO-based Reinforcement Learning.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation 8, we provide more preliminaries about: (1) Text- to-Motion Generation task definition; (2) Motion VQV AE; (3) Motion-aware LLM; (4) GRPO-based Reinforcement Learning

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:59.062734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f1516d-bcf5-4e22-8df3-d80cd34b7093 · outbound

This paper cites Text-to-Motion Generation Task Definition Text-to-Motion Generation aims at generating 3D human motion aligned with the goal text.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Text-to-Motion Generation Task Definition Text-to-Motion Generation aims at generating 3D human motion aligned with the goal text

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:59.087834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d5452e-eeb2-4c50-8805-d8fc89c1d498 · outbound

This paper cites a man is ….

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation a man is …

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:59.149505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0700ee90-26cb-4192-8074-b05a9e38dc11 · outbound

This paper cites no refinement is needed.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation no refinement is needed

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:59.211799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1f850a-70f8-4231-a88a-ae899c97b2a5 · outbound

This paper cites No refinements needed.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation No refinements needed

Reference 98

Resolution: malformed identifier; no resolver link, observed 2026-08-03T17:06:59.277649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc0a10c0-23c9-454d-845a-2a15630cb665 · outbound

This paper cites assessment.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation assessment

Reference 99

Resolution: malformed identifier; no resolver link, observed 2026-08-03T17:06:59.326427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9852b22-cde0-4dc7-bf44-98900c374ba6 · outbound

This paper cites a man is ….

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation a man is …

Reference 100

Resolution: malformed identifier; no resolver link, observed 2026-08-03T17:06:59.436017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56186936-83b6-4712-b65f-f600d07c1ee3 · outbound

This paper cites In this work, we take the first step to explore the novel IR- MoGen paradigm within a general VQ-based motion-aware LLM framework.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation In this work, we take the first step to explore the novel IR- MoGen paradigm within a general VQ-based motion-aware LLM framework

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:59.492530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 51fcdd3b-a67c-4edb-aa29-dc701edf6233 · inbound

MotionHiFlow: Text-to-motion via hierarchical flow matching cites this paper.

MotionHiFlow: Text-to-motion via hierarchical flow matching IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:17:15.484473Z

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.

Observation 02ef9edf-2da4-4b9e-ae42-f3ac17fb813e · inbound

PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation cites this paper.

PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:17:15.484473Z

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.

Observation c10062a6-4f09-4839-acca-55a1d4bbf1c9 · inbound

MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation cites this paper.

MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:17:15.484473Z

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.