Paper Citation Record · LEDGER

SMGDiff: Soccer Motion Generation using diffusion probabilistic models

As of 15 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 4 inbound Pith citation observations for arXiv:2411.16216.

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

pith.paper-citation-record.v1
2411.16216 v1

Coverage vector

measured 81 of 81 reference resolution

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measured 85 of 85 standing notices

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:55:43.530731Z

Reference resolution

81 of 81 outbound references displayed

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External citation measurements

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Outbound references

Observation 76539dc6-9efd-4e16-8467-9ef7c57f6284 · outbound

This paper cites Listen, denoise, action! audio-driven motion synthesis with diffusion models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Listen, denoise, action! audio-driven motion synthesis with diffusion models

Reference 1

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Observation 700d0a47-4bd7-4a0a-8330-62976b1b7a6d · outbound

This paper cites Gesturediffuclip: Gesture diffusion model with clip latents.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Gesturediffuclip: Gesture diffusion model with clip latents

Reference 2

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Observation b0ec7d0e-6f64-43fb-9522-13b562d7f3bc · outbound

This paper cites an unresolved cited work.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Unresolved cited work

Reference 3

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Observation 0acc674a-2407-4cf0-b1f0-97f075e2bf21 · outbound

This paper cites DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser

Reference 4

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Observation 2241b071-a164-4caa-af06-8b9241fc5560 · outbound

This paper cites Taming diffusion probabilistic models for character control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Taming diffusion probabilistic models for character control

Reference 5

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Observation 3feb8f57-24d5-49c8-a200-08f026c28f3f · outbound

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

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Executing your commands via motion diffusion in latent space

Reference 6

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Source-reported events for the cited work

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Observation 672be45e-1a1a-4aec-b8ef-07fde826b68c · outbound

This paper cites Motion recommendation for online char- acter control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Motion recommendation for online char- acter control

Reference 7

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Observation 500d7adc-1081-47f6-9ad4-0d866f10b026 · outbound

This paper cites Motion matching and the road to next-gen ani- mation.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Motion matching and the road to next-gen ani- mation

Reference 8

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Observation f3cd4918-5a9b-46be-8721-90595b500f06 · outbound

This paper cites Cg-hoi: Contact-guided 3d human-object interaction generation.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Cg-hoi: Contact-guided 3d human-object interaction generation

Reference 9

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Observation 45bbd28d-e811-4f14-8e5b-4a93ada2f1fe · outbound

This paper cites EA SPORTS FC - Official Website.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models EA SPORTS FC - Official Website

Reference 10

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Observation 589ab8a1-4890-4be0-83a1-947c53a59211 · outbound

This paper cites Recurrent network models for human dynamics.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Recurrent network models for human dynamics

Reference 11

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Source-reported events for the cited work

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Observation 95714a7b-6cba-42bb-95d3-24224067c47d · outbound

This paper cites Imos: Intent-driven full- body motion synthesis for human-object interactions.Comput.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Imos: Intent-driven full- body motion synthesis for human-object interactions.Comput

Reference 12

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Observation c29bc404-f7f1-4f96-868e-59e50bc7254d · outbound

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

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Generating diverse and natural 3d human motions from text

Reference 13

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Observation e4cfb371-e951-41d4-8642-6c0edca08251 · outbound

This paper cites Synthesizing physical character-scene interactions, 2023.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Synthesizing physical character-scene interactions, 2023

Reference 14

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Observation ee52eeb6-de4e-4f09-bd37-355ef21452ff · outbound

This paper cites Denoising diffu- sion probabilistic models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Denoising diffu- sion probabilistic models

Reference 15

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Observation 818bd9f9-1f00-47eb-a3aa-80e65c9b7e5c · outbound

This paper cites Denoising diffu- sion probabilistic models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Denoising diffu- sion probabilistic models

Reference 16

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Observation 3adf9f55-2aef-4f99-b359-2016c0364eb0 · outbound

This paper cites Denoising diffu- sion probabilistic models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Denoising diffu- sion probabilistic models

Reference 17

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Source-reported events for the cited work

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Observation f746d7c0-709f-4357-90da-1f08fad64666 · outbound

This paper cites Learning motion manifolds with convolutional autoencoders.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Learning motion manifolds with convolutional autoencoders

Reference 18

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Source-reported events for the cited work

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Observation ff2a7df4-331c-45ff-ab3e-4529a4631429 · outbound

This paper cites A deep learning framework for character motion synthesis and editing.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models A deep learning framework for character motion synthesis and editing

Reference 19

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Observation 9ac162e4-9014-4576-b242-90d9fc0b3b7a · outbound

This paper cites Phase- functioned neural networks for character control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Phase- functioned neural networks for character control

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.493176Z

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Observation 45b28782-6d02-4172-a8a2-44c836ee5914 · outbound

This paper cites Learned motion matching.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Learned motion matching

Reference 21

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Observation 62777a34-807f-4ebf-82cf-202acf2197a1 · outbound

This paper cites Learned motion matching.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Learned motion matching

Reference 22

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Observation 5ad5b84c-3595-4264-88e1-9bcb86cb7ce1 · outbound

This paper cites Shin, and Junyong Noh.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Shin, and Junyong Noh

Reference 23

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Observation 861f0a39-b271-4370-93f5-f7add6410a50 · outbound

This paper cites Diffusion- based generation, optimization, and planning in 3d scenes.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Diffusion- based generation, optimization, and planning in 3d scenes

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.444211Z

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Observation 0c0f8b08-a9ae-45a1-b2e9-02855302e439 · outbound

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

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Guided motion diffusion for con- trollable human motion synthesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.432622Z

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Observation 70dcc838-7cff-42a2-85da-3a1a1d0919fe · outbound

This paper cites Opti- mizing diffusion noise can serve as universal motion priors.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Opti- mizing diffusion noise can serve as universal motion priors

Reference 26

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Observation fab556f1-6adc-446d-9f64-3891969f6eb0 · outbound

This paper cites Flame: Free- form language-based motion synthesis & editing.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Flame: Free- form language-based motion synthesis & editing

Reference 27

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Observation 8a8c93b8-e34f-4ba9-bbf9-fe6337400aee · outbound

This paper cites Motion graphs.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Motion graphs

Reference 28

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Observation e945703b-ff1e-462f-9baf-24d526d841bc · outbound

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SMGDiff: Soccer Motion Generation using diffusion probabilistic models Unresolved cited work

Reference 29

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Observation 67f20926-f200-4444-b02e-4a593d00712c · outbound

This paper cites Interactive char- acter animation by learning multi-objective control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Interactive char- acter animation by learning multi-objective control

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.383194Z

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Observation ece32915-a862-4ff0-bc54-124c862b7bfb · outbound

This paper cites Learn- ing time-critical responses for interactive character control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Learn- ing time-critical responses for interactive character control

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.370083Z

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Observation 840422d1-2a31-4255-ab3c-98c337dd528b · outbound

This paper cites Object motion guided human motion synthe- sis.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Object motion guided human motion synthe- sis

Reference 32

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Observation 65e833e1-71d2-4cee-8b3f-0ad9be229eb5 · outbound

This paper cites Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations

Reference 33

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Observation d3497171-443d-498e-9e1c-5a16bd3921ef · outbound

This paper cites Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

Reference 34

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Source-reported events for the cited work

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Observation de48daec-a7a2-465c-b30c-a0172caaa292 · outbound

This paper cites Intergen: Diffusion-based multi-human motion gener- ation under complex interactions.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Intergen: Diffusion-based multi-human motion gener- ation under complex interactions

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.345512Z

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Observation 90fb98e4-78fb-4805-9835-b01441b22137 · outbound

This paper cites Omg: Towards open-vocabulary motion generation via mixture of controllers.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Omg: Towards open-vocabulary motion generation via mixture of controllers

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.334130Z

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Observation e3e8d2fc-60d1-4632-8e9c-77be785c0c52 · outbound

This paper cites Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.322622Z

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Observation 6af9e286-55f2-465c-b733-85c64c0bee38 · outbound

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SMGDiff: Soccer Motion Generation using diffusion probabilistic models Unresolved cited work

Reference 38

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Observation 38132001-9243-4562-b8eb-3031da4fdbb8 · outbound

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SMGDiff: Soccer Motion Generation using diffusion probabilistic models Unresolved cited work

Reference 39

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Observation cafd9b28-195b-4c8b-bdfc-c25e0b6c5c14 · outbound

This paper cites Smpl: A skinned multi- person linear model.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Smpl: A skinned multi- person linear model

Reference 40

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Observation 7dd39b51-b4a6-4079-bae8-c9ba53a460b7 · outbound

This paper cites Motion matching in ’the last of us part ii’, 2021.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Motion matching in ’the last of us part ii’, 2021

Reference 41

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Observation 3686c5bc-412b-4bf3-a83c-cd0cab2c72ec · outbound

This paper cites Isaac gym: High performance gpu-based physics simu- lation for robot learning, 2021.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Isaac gym: High performance gpu-based physics simu- lation for robot learning, 2021

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.282550Z

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Observation 52fbe8ec-4709-4949-8706-d962865ec840 · outbound

This paper cites Real-time style modelling of human locomotion via feature-wise trans- formations and local motion phases.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Real-time style modelling of human locomotion via feature-wise trans- formations and local motion phases

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.272503Z

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Observation ee1f0268-396e-4859-8230-756f5380f4e9 · outbound

This paper cites Catch & carry: Reusable neural controllers for vision-guided whole-body tasks, 2020.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Catch & carry: Reusable neural controllers for vision-guided whole-body tasks, 2020

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.262344Z

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Observation 952b327b-9b62-4a9e-8d2c-6e1748f4736e · outbound

This paper cites GLIDE: Towards photorealistic image gen- eration and editing with text-guided diffusion models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models GLIDE: Towards photorealistic image gen- eration and editing with text-guided diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.251350Z

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Observation c6031433-6dbf-46a9-a6b5-62666d9c6114 · outbound

This paper cites NaturalPoint, Inc.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models NaturalPoint, Inc

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.241444Z

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Observation 30d8fdf2-85ee-4ba2-8bf0-2974377da88e · outbound

This paper cites Mcp: Learning composable hierarchical control with multiplicative compositional policies, 2019.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Mcp: Learning composable hierarchical control with multiplicative compositional policies, 2019

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.231827Z

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Observation 6d8fc6b6-968e-4386-81ea-de24c995de33 · outbound

This paper cites Amp: adversarial motion priors for styl- ized physics-based character control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Amp: adversarial motion priors for styl- ized physics-based character control

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.221501Z

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Observation f7ef4713-15f8-4556-b597-6f3cc54d8ada · outbound

This paper cites Amp: Adversarial motion priors for styl- ized physics-based character control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Amp: Adversarial motion priors for styl- ized physics-based character control

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.211335Z

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Observation ff95d7a0-3be5-4c1a-814d-2a572cbbc208 · outbound

This paper cites Hierarchical text-conditional image genera- tion with clip latents.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Hierarchical text-conditional image genera- tion with clip latents

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.200960Z

Source-reported events for the cited work

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Observation f55101c9-b017-44a9-b46a-5b445726e97c · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Photorealistic text-to-image diffusion models with deep language understanding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.190539Z

Source-reported events for the cited work

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Observation b61a1a66-79fc-4602-a16c-b910bb11f84d · outbound

This paper cites Controllable motion diffusion model.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Controllable motion diffusion model

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.180532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae05941c-cd66-4a87-b303-bf3c6874ce94 · outbound

This paper cites Denoising diffusion implicit models, 2022.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Denoising diffusion implicit models, 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.170009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22b91317-1ccd-4817-a131-4ab13eb0fb43 · outbound

This paper cites Neural state machine for character-scene interactions.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Neural state machine for character-scene interactions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.159528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd0870f0-b813-45cf-a86e-98f497a6777d · outbound

This paper cites Neural state machine for character-scene interactions.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Neural state machine for character-scene interactions

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.149174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a529e2b8-1ac0-4010-bebd-5360b968c25a · outbound

This paper cites Local motion phases for learning multi-contact character movements.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Local motion phases for learning multi-contact character movements

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.137408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a1019bcb-e65b-46a6-9845-fe7233c6ed37 · outbound

This paper cites Local motion phases for learning multi-contact character movements.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Local motion phases for learning multi-contact character movements

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.127386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5075c35d-cdd3-47ed-93db-ded21df80f52 · outbound

This paper cites Neural animation layering for synthesizing martial arts movements.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Neural animation layering for synthesizing martial arts movements

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.117074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c141741-942f-483c-b21f-4e6a46db7145 · outbound

This paper cites Deepphase: Periodic autoencoders for learning motion phase manifolds.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Deepphase: Periodic autoencoders for learning motion phase manifolds

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.106990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f981d14d-3e41-4f14-b603-ec08fd93b8c8 · outbound

This paper cites Categorical codebook matching for embodied character controllers.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Categorical codebook matching for embodied character controllers

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.096971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c83d40c4-5080-4bb4-ad17-d5a0b91086ce · outbound

This paper cites an unresolved cited work.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:29:54.086569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d31afcab-abae-467c-b5a3-139f7751ba9f · outbound

This paper cites CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:53.653648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef428833-5ce3-4a00-be5d-a90e53964b85 · outbound

This paper cites Karen Liu.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Karen Liu

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.076183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b5e5071-3359-46d0-9f84-e33335f17233 · outbound

This paper cites Omnicontrol: Control any joint at any time for human motion generation.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Omnicontrol: Control any joint at any time for human motion generation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.065708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bbd4fbea-9974-4460-8b5e-7a43f9c8d6e1 · outbound

This paper cites Learning soccer juggling skills with layer-wise mixture-of-experts.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Learning soccer juggling skills with layer-wise mixture-of-experts

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.054500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 501deaf7-a405-4318-864e-752ade14b8f0 · outbound

This paper cites Karen Liu.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Karen Liu

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.043038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e32169a5-77bf-40e0-8b0e-f4ffbf9ab316 · outbound

This paper cites Guidance with spherical gaussian con- straint for conditional diffusion.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Guidance with spherical gaussian con- straint for conditional diffusion

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.031737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73eb0246-e058-491c-9a8f-04d84c25ce44 · outbound

This paper cites Controlvae: Model-based learning of generative controllers for physics-based characters.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Controlvae: Model-based learning of generative controllers for physics-based characters

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.019453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e75d68a0-751d-42f0-8f08-f03417ddae91 · outbound

This paper cites Moconvq: Unified physics- based motion control via scalable discrete representations.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Moconvq: Unified physics- based motion control via scalable discrete representations

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:54.008216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c741ecab-466d-4260-8a29-13fa95587e23 · outbound

This paper cites Neu- ral3points: Learning to generate physically realistic full-body motion for virtual reality users.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Neu- ral3points: Learning to generate physically realistic full-body motion for virtual reality users

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.996759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6c2bfb4-c22f-4812-9f10-f8b9ce25e4b6 · outbound

This paper cites Physdiff: Physics-guided human motion diffusion model.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Physdiff: Physics-guided human motion diffusion model

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.985759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b621ec4-0c6a-41fa-bafe-206a165d73f6 · outbound

This paper cites Mode-adaptive neural networks for quadruped motion control.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Mode-adaptive neural networks for quadruped motion control

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.974644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc43440d-ed88-4eb9-a154-fb2fad33644c · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Adding conditional control to text-to-image diffusion models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:53.693654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bb9e183-e884-4b45-8f61-bfcb5296e59f · outbound

This paper cites Motiondiffuse: Text- driven human motion generation with diffusion model.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Motiondiffuse: Text- driven human motion generation with diffusion model

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.956392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00f68913-cf03-4433-91ba-dd3685a165dd · outbound

This paper cites Dart: A diffusion- based autoregressive motion model for real-time text-driven motion control, 2024.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Dart: A diffusion- based autoregressive motion model for real-time text-driven motion control, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.942926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8a3f1a29-3a43-4dd3-85af-5407724d7c26 · outbound

This paper cites Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:53.704446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b695dfb-cdd9-4dc6-a5ef-f14a0964201c · outbound

This paper cites an unresolved cited work.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:29:53.931150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28cb2a99-6488-4c27-a242-94762e3f7d9d · outbound

This paper cites Media2face: Co-speech facial animation generation with multi-modality guidance.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Media2face: Co-speech facial animation generation with multi-modality guidance

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.920482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58af5da6-9340-4faa-93f6-df96e256e3fb · outbound

This paper cites Emdm: Efficient motion dif- fusion model for fast, high-quality motion generation.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Emdm: Efficient motion dif- fusion model for fast, high-quality motion generation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.909294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5708b347-a9a7-48a4-9637-e28cd4ae39a4 · outbound

This paper cites On the continuity of rotation representations in neural networks.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models On the continuity of rotation representations in neural networks

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.898442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49f99ed9-9381-45b6-b065-d6fd5d1fd75d · outbound

This paper cites Ude: A unified driv- ing engine for human motion generation.

SMGDiff: Soccer Motion Generation using diffusion probabilistic models Ude: A unified driv- ing engine for human motion generation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:53.887379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation cb5c9b21-e288-4378-9b0d-01b3ea4a1628 · inbound

EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling cites this paper.

EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling SMGDiff: Soccer Motion Generation using diffusion probabilistic models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T16:16:40.734124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a906330e-619d-4245-85f4-e1a469905c6e · inbound

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

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward SMGDiff: Soccer Motion Generation using diffusion probabilistic models

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:40.030514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c888266b-5d39-424b-896a-7a7db9673c9f · inbound

FixTalk: Taming Identity Leakage for High-Quality Talking Head Generation in Extreme Cases cites this paper.

FixTalk: Taming Identity Leakage for High-Quality Talking Head Generation in Extreme Cases SMGDiff: Soccer Motion Generation using diffusion probabilistic models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T20:58:30.937663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3a1adb-0b24-409b-9edd-52335b88485b · inbound

Contact Matrix: Enhancing Dance Motion Synthesis with Precise Interaction Modeling cites this paper.

Contact Matrix: Enhancing Dance Motion Synthesis with Precise Interaction Modeling SMGDiff: Soccer Motion Generation using diffusion probabilistic models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:55:43.534497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.