Paper Citation Record · LEDGER

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation

As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 3 inbound Pith citation observations for arXiv:2512.13840.

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

pith.paper-citation-record.v1
2512.13840 v3

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:24:11.789786Z

measured 81 of 81 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T02:38:14.542361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T02:40:14.611495Z

Reference resolution

78 of 78 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 489cce2e-addd-426c-a9ea-7ba2a434c490 · outbound

This paper cites TMR++: A cross-dataset study for text-based 3d human motion re- trieval.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation TMR++: A cross-dataset study for text-based 3d human motion re- trieval

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:03.735338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3efa9b9-fea3-4d37-ac04-8de1daab3d6c · outbound

This paper cites Keep it smpl: Automatic estimation of 3d human pose and shape from a single image.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Keep it smpl: Automatic estimation of 3d human pose and shape from a single image

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:03.836592Z

Source-reported events for the cited work

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Observation 99d937e4-d9f1-4df4-aea7-fe56ba3e25e5 · outbound

This paper cites The language of motion: Unifying verbal and non- verbal language of 3d human motion.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation The language of motion: Unifying verbal and non- verbal language of 3d human motion

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:03.949819Z

Source-reported events for the cited work

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Observation 57945188-1b59-4058-9170-bb12fe383d7d · outbound

This paper cites Taming diffusion probabilistic models for character control.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Taming diffusion probabilistic models for character control

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:04.104321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5076399-c95a-48ee-9e30-ffbe118e78bf · outbound

This paper cites Free-t2m: Frequency enhanced text-to-motion diffusion model with consistency loss.arXiv preprint arXiv:2501.18232, 2025.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Free-t2m: Frequency enhanced text-to-motion diffusion model with consistency loss.arXiv preprint arXiv:2501.18232, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:04.254443Z

Source-reported events for the cited work

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Observation a3eac881-5bef-46f9-a13d-ad71d4a635a3 · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Executing your commands via motion diffusion in latent space

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:04.415455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd41aed-3507-4396-bc2c-e5ea6cadd327 · outbound

This paper cites DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:04.619572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eddafe7-b3f4-4d7e-bf68-d15569393dde · outbound

This paper cites Mofusion: A framework for denoising-diffusion-based motion synthesis.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Mofusion: A framework for denoising-diffusion-based motion synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:04.774401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b2e17e-757a-4020-89d4-9b664dd65e0c · outbound

This paper cites Motionlcm-v2: Improved compression rate for multi-latent-token diffusion,.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Motionlcm-v2: Improved compression rate for multi-latent-token diffusion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:04.941472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2560a55-a3ca-43e6-89e8-7ba504f697cd · outbound

This paper cites MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.142966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1b93a2-bec8-4f22-9543-e8a3e6da7d5b · outbound

This paper cites Sigmoid- weighted linear units for neural network function approx- imation in reinforcement learning.Neural networks, 107: 3–11, 2018.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Sigmoid- weighted linear units for neural network function approx- imation in reinforcement learning.Neural networks, 107: 3–11, 2018

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.305002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf1fc10-c7fb-4d52-9cb6-3a634dc38829 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.477812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb6e701-839e-45d6-89cc-b3f0e54367f8 · outbound

This paper cites Remos: 3d motion- conditioned reaction synthesis for two-person interactions.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Remos: 3d motion- conditioned reaction synthesis for two-person interactions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.671489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0656859-f318-4303-9712-9517bd1c42d9 · outbound

This paper cites Duetgen: Music driven two-person dance generation via hierarchical masked modeling.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Duetgen: Music driven two-person dance generation via hierarchical masked modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.788186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad7661a-6c1e-4505-ac79-3a9fa36653ac · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Ac- tion2motion: Conditioned generation of 3d human motions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.882970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a68a7d8-1ced-497c-ab1f-1ce09069a97e · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Generating diverse and natural 3d human motions from text

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:05.958262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500be64b-7553-4e2c-a31d-6231a002e81f · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.065819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8dde565-95a5-40ce-947d-fcc4dad2edc5 · outbound

This paper cites Momask: Generative masked modeling of 3d human motions.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Momask: Generative masked modeling of 3d human motions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.129384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4339814-6bea-4c3b-8d20-cde926f6b691 · outbound

This paper cites Snap- mogen: Human motion generation from expressive texts.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Snap- mogen: Human motion generation from expressive texts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.256735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f122d265-da61-4c80-bff0-2f53fc159914 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.354084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c17780-9744-4dd2-a530-83f1ffa54ef0 · outbound

This paper cites EgoLM: Multi-Modal Language Model of Egocentric Motions.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation EgoLM: Multi-Modal Language Model of Egocentric Motions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.432236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de5782f-48a2-45c2-a836-74e74da17d26 · outbound

This paper cites Stablemofusion: Towards robust and efficient diffusion-based motion generation framework.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Stablemofusion: Towards robust and efficient diffusion-based motion generation framework

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.512963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddaf58e9-7c0b-433f-a344-b47e606a44f5 · outbound

This paper cites InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.609967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde53a3d-066c-407f-8a97-8143423318c6 · outbound

This paper cites Motiongpt: Human motion as a foreign language.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Motiongpt: Human motion as a foreign language

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.672025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2200bee-99fe-4219-9f51-c861601a0074 · outbound

This paper cites MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.756769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feee44ab-cf03-46e8-9ba9-8e93b3bc5d04 · outbound

This paper cites Guided motion diffusion for con- trollable human motion synthesis.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Guided motion diffusion for con- trollable human motion synthesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.854335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e12b1f-158d-4c3f-bd6a-807acd9e4399 · outbound

This paper cites Latent diffusion models with masked autoencoders.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Latent diffusion models with masked autoencoders

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:06.912633Z

Source-reported events for the cited work

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Observation 8e38ae91-c8b5-4796-b1f1-1596b340fd8f · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b75009-b807-4610-b64f-2ec81da94412 · outbound

This paper cites Unimotion: Unifying 3D Human Motion Synthesis and Understanding.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Unimotion: Unifying 3D Human Motion Synthesis and Understanding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:07.113970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e48cb5-f41c-4369-a8eb-a419b9968de7 · outbound

This paper cites Autoregressive image generation without vector quantization.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Autoregressive image generation without vector quantization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T16:24:07.230200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3522cd83-8a5d-40da-ae3b-8a7f2d01a2db · outbound

This paper cites Intergen: Diffusion-based multi-human motion gener- ation under complex interactions.International Journal of Computer Vision, pages 1–21, 2024.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Intergen: Diffusion-based multi-human motion gener- ation under complex interactions.International Journal of Computer Vision, pages 1–21, 2024

Reference 31

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Source-reported events for the cited work

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Observation 44746425-7878-4ece-9a4c-b486e2f69bd3 · outbound

This paper cites Character controllers using motion vaes.ACM Trans.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Character controllers using motion vaes.ACM Trans

Reference 32

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Observation fd85416b-08b0-41ab-b5ea-7b50414bd5c9 · outbound

This paper cites GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling

Reference 33

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Observation 552b237c-e8f4-4579-8272-052a1a95a16a · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 34

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Observation ab72fc35-ef71-49b6-840d-5f0e43f29fca · outbound

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MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Unresolved cited work

Reference 35

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This paper cites Perpetual humanoid control for real-time simulated avatars.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Perpetual humanoid control for real-time simulated avatars

Reference 36

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Troje, Ger- ard Pons-Moll, and Michael J

Reference 37

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Observation 74e3c396-5008-4c7b-a42e-5765a4f19a2c · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 38

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Observation 17d8d5b7-6ac0-4414-845d-de473cd02d6c · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 39

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This paper cites Absolute Coordinates Make Motion Generation Easy.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Absolute Coordinates Make Motion Generation Easy

Reference 40

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Observation 5da4460c-2afc-400e-821f-a517d3798f98 · outbound

This paper cites Semantic-vae: Semantic- alignment latent representation for better speech synthesis.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Semantic-vae: Semantic- alignment latent representation for better speech synthesis

Reference 41

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This paper cites Black, and Gül Varol.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Black, and Gül Varol

Reference 42

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Observation 133c7278-3e89-46ec-9773-ac35b35361ae · outbound

This paper cites Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation

Reference 43

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Observation f72de259-028d-470a-af06-d99a86ed81f6 · outbound

This paper cites Bamm: bidirectional autoregressive motion model.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Bamm: bidirectional autoregressive motion model

Reference 44

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Observation 9a75b0d5-58a7-4464-8572-92806bf6c917 · outbound

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MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Mmm: Generative masked motion model

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Observation ebe1bd90-062c-4c69-979e-61c09b980d85 · outbound

This paper cites Maskcon- trol: Spatio-temporal control for masked motion synthesis.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Maskcon- trol: Spatio-temporal control for masked motion synthesis

Reference 46

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Observation 2606617c-b3ae-46e0-81ca-8e3e3bdf5c32 · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation The kit motion-language dataset.Big data, 4(4):236–252,

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This paper cites Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J

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Observation 443da5bf-369d-46d8-92ad-ea50d06d5ab3 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Learning transferable visual models from natural language supervision, 2021

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 50

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This paper cites Humor: 3d human motion model for robust pose estimation.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Humor: 3d human motion model for robust pose estimation

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Source-reported events for the cited work

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Observation ef994afd-b8c7-4189-a9a1-92b80667de12 · outbound

This paper cites Priormdm: Human motion diffusion as a generative prior.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Priormdm: Human motion diffusion as a generative prior

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Source-reported events for the cited work

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Observation 2119b3ff-3e0d-4577-b969-5410d93d366d · outbound

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MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Human motion diffusion model

Reference 53

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This paper cites Mujoco: A physics engine for model-based control.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Mujoco: A physics engine for model-based control

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Source-reported events for the cited work

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Observation 1315e708-fc83-42d8-b715-6037dbe75803 · outbound

This paper cites Autoregressive motion generation with gaussian mixture-guided latent sampling.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Autoregressive motion generation with gaussian mixture-guided latent sampling

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This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Attention is all you need.Advances in neural information processing systems, 30, 2017

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Observation c006302d-b6da-4a22-a3f8-d2390c3d8a9f · outbound

This paper cites What is the best automated metric for text to motion generation? InSIGGRAPH Asia 2023 Conference Papers, pages 1–11, 2023.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation What is the best automated metric for text to motion generation? InSIGGRAPH Asia 2023 Conference Papers, pages 1–11, 2023

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Observation 9b9637f9-3b59-48e0-9140-4da8f0f7a35d · outbound

This paper cites Tlcontrol: Trajectory and language control for human motion synthesis.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Tlcontrol: Trajectory and language control for human motion synthesis

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Observation d3c2e867-fc0f-4ec8-9df0-8c25365c9d6b · outbound

This paper cites Aligning motion generation with human perceptions.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Aligning motion generation with human perceptions

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Observation 1097fc41-7e0e-4758-b198-c2e45bdc75e5 · outbound

This paper cites Mo- tiondreamer: One-to-many motion synthesis with localized generative masked transformer.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Mo- tiondreamer: One-to-many motion synthesis with localized generative masked transformer

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Observation 7b53a770-e00f-4bf4-b084-6ab42ebefae7 · outbound

This paper cites Representation entanglement for generation: Training diffusion transformers is much easier than you think.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Representation entanglement for generation: Training diffusion transformers is much easier than you think

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Observation a55b684c-4ee6-4cc2-a8fe-b443a4711d4c · outbound

This paper cites MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space

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Observation 8890e7db-9003-46b7-9e25-0db9230f3e9d · outbound

This paper cites Representa- tion alignment for generation: Training diffusion transform- ers is easier than you think.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Representa- tion alignment for generation: Training diffusion transform- ers is easier than you think

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Observation ba0271bc-a01a-4b74-9025-712dbe5260df · outbound

This paper cites Geometric Neural Distance Fields for Learning Human Motion Priors.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Geometric Neural Distance Fields for Learning Human Motion Priors

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Observation fb651120-b876-4291-ac4c-e1d42fd3fbbd · outbound

This paper cites Mogents: Motion generation based on spatial-temporal joint modeling.Advances in Neural Information Processing Sys- tems, 37:130739–130763, 2024.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Mogents: Motion generation based on spatial-temporal joint modeling.Advances in Neural Information Processing Sys- tems, 37:130739–130763, 2024

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Observation 9de634a0-f34b-4b62-a183-f32ececbf7e4 · outbound

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MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation T2m-gpt: Generating human motion from textual descriptions with discrete representations

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Observation 8fe4e2a9-55b4-4777-8526-eaed33bad137 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

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Observation a97f50a1-a42e-4b24-b107-1085b065e2a1 · outbound

This paper cites ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

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Observation 1cfd3a79-cb74-4a3d-81e4-acec8474cf5b · outbound

This paper cites Finemogen: Fine-grained spatio- temporal motion generation and editing.NeurIPS, 36, 2024.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Finemogen: Fine-grained spatio- temporal motion generation and editing.NeurIPS, 36, 2024

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Observation 9ea33396-92b5-485b-b34d-1c241feaf3c4 · outbound

This paper cites Large motion model for unified multi-modal motion generation.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Large motion model for unified multi-modal motion generation

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Observation 87a09bf8-8439-4e02-ae09-ea8416f9e804 · outbound

This paper cites Kinmo: Kinematic-aware human motion understanding and generation.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Kinmo: Kinematic-aware human motion understanding and generation

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Observation 34014912-a6bf-4c13-95cd-f4183c414b35 · outbound

This paper cites Flashmo: Geometric interpolants and frequency-aware sparsity for scalable efficient motion gen- eration.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Flashmo: Geometric interpolants and frequency-aware sparsity for scalable efficient motion gen- eration

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Observation bbfa6573-e3f1-4537-9e5f-b6630ff532f4 · outbound

This paper cites Motion Mamba: Efficient and Long Sequence Motion Generation.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Motion Mamba: Efficient and Long Sequence Motion Generation

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Observation d5d8f2a8-61a7-427d-a978-0f419e11c916 · outbound

This paper cites A diffusion-based autoregressive motion model for real-time text-driven mo- tion control.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation A diffusion-based autoregressive motion model for real-time text-driven mo- tion control

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Observation b048a5b9-be58-4796-85b9-c4ed3c0ae776 · outbound

This paper cites EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation

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Observation 9129bf4d-fead-4b3a-8a6d-242499ec836c · outbound

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

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Mo- tiongpt3: Human motion as a second modality.arXiv preprint arXiv:2506.24086, 2025

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Observation 38dd7408-f626-4d77-b9dd-a660c873f322 · outbound

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MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Unresolved cited work

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Observation ca55d0ee-b4c0-4293-a769-3d76d65f0b9d · outbound

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MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation 5 reports an ablation over dif- ferent numbers of text adapter layers

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Pith citing papers

Observation 6d8e67f4-e507-4e5d-b646-23a855c64a9e · inbound

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos cites this paper.

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation

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Resolution: verified exact; arxiv_id, observed 2026-07-14T03:21:25.543486Z

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Observation 32d94413-4f88-456e-923e-8fff1acbc227 · inbound

Exploring Motion-Language Alignment for Text-driven Motion Generation cites this paper.

Exploring Motion-Language Alignment for Text-driven Motion Generation MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation

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Resolution: verified exact; arxiv_id, observed 2026-07-14T03:21:25.543486Z

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Observation d62ee051-4ed9-4f31-be05-1e29b96d0eef · 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 MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation

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Resolution: verified exact; arxiv_id, observed 2026-07-14T03:21:25.543486Z

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