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Paper Citation Record · LEDGER

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.07515.

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

pith.paper-citation-record.v1
2507.07515 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:32.136722Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13be9e65-aaea-41c5-83a8-e23296d01b42 · outbound

This paper cites 3d point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction 3d point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception,

Reference 1

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verified fuzzy
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Observation 273f12de-3ed5-4239-9788-34dbc07cd925 · outbound

This paper cites Learning lane graph representations for motion forecasting,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Learning lane graph representations for motion forecasting,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2df54af5-eedc-411b-b114-e7594479eaf7 · outbound

This paper cites Teaching robots to predict human motion,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Teaching robots to predict human motion,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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Observation 6ff726a9-43ce-4733-8adb-f6d7944883f1 · outbound

This paper cites A survey of human action analysis in hri applications,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction A survey of human action analysis in hri applications,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0c60a7f8-04d8-47fb-980b-7883422940d8 · outbound

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

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction A deep learning framework for character motion synthesis and editing,

Reference 5

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c0f02a3-ce89-4827-b703-3a14af264450 · outbound

This paper cites Auto-conditioned recurrent networks for extended complex human motion synthesis,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Auto-conditioned recurrent networks for extended complex human motion synthesis,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 32f8472a-4be9-4f58-9bbb-0732f580e463 · outbound

This paper cites Recurrent network models for human dynamics,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Recurrent network models for human dynamics,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3a312bfa-3c1b-48e9-b988-03304c43677a · outbound

This paper cites Imitation learning for human pose prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Imitation learning for human pose prediction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:38.926003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ecd6ff7-3484-4fc9-9c50-1db916d0dbe6 · outbound

This paper cites Learning human motion models for long-term predictions,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Learning human motion models for long-term predictions,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation caffa697-713c-4562-aea2-57fc1a7ac2f0 · outbound

This paper cites Pvred: A position-velocity recurrent encoder-decoder for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Pvred: A position-velocity recurrent encoder-decoder for human motion prediction,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2e6982e0-b29c-4ba8-9e26-40c37a296ed3 · outbound

This paper cites Structural-rnn: Deep learning on spatio-temporal graphs,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Structural-rnn: Deep learning on spatio-temporal graphs,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 83e6c172-91d1-4d9c-970e-33f711150eca · outbound

This paper cites On human motion prediction using recurrent neural networks,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction On human motion prediction using recurrent neural networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:38.211875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0a6493e2-b675-408a-aca2-ae2f95e91ead · outbound

This paper cites Structured prediction helps 3d human motion modelling,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Structured prediction helps 3d human motion modelling,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 16af9007-3f01-46f6-a2e7-eefaf315f078 · outbound

This paper cites Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic

Reference 14

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e26cb3f3-1324-4bc6-839c-93243ecd2023 · outbound

This paper cites History repeats itself: Human motion prediction via motion attention,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction History repeats itself: Human motion prediction via motion attention,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:37.862728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 693179c7-c3b6-4ceb-9d8f-2f716750b27d · outbound

This paper cites Pose trans- formers (potr): Human motion prediction with non-autoregressive trans- formers,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Pose trans- formers (potr): Human motion prediction with non-autoregressive trans- formers,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:37.714977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 76e8d38e-9b78-43eb-9664-f3a333d9da6e · outbound

This paper cites Multi-level motion attention for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Multi-level motion attention for human motion prediction,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 78dc6dac-a8b2-40ea-a478-160f0ddea69b · outbound

This paper cites A spatio-temporal transformer for 3d human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction A spatio-temporal transformer for 3d human motion prediction,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b4955908-14a7-447f-ba95-26c14e1cb852 · outbound

This paper cites Humanmac: Masked motion completion for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Humanmac: Masked motion completion for human motion prediction,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:37.352215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f0691da3-6264-412a-8aa8-50f6a82d2467 · outbound

This paper cites Auxiliary tasks benefit 3d skeleton-based human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Auxiliary tasks benefit 3d skeleton-based human motion prediction,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b86c5817-7b93-4ef9-a19f-cc29d52d2de0 · outbound

This paper cites Toward realistic 3d human motion prediction with a spatio- temporal cross-transformer approach,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Toward realistic 3d human motion prediction with a spatio- temporal cross-transformer approach,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:37.081504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eb0c472a-7f1b-493d-82fe-868c20b5fb9a · outbound

This paper cites Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.948353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 83a539cc-4729-45e8-acc2-52802f35ac36 · outbound

This paper cites Spatio-temporal gating- adjacency gcn for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Spatio-temporal gating- adjacency gcn for human motion prediction,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.816867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 43935b14-b650-4578-93fb-96716e4333fe · outbound

This paper cites Msr-gcn: Multi-scale residual graph convolution networks for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Msr-gcn: Multi-scale residual graph convolution networks for human motion prediction,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.691656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bd9026b5-97a2-452b-96cd-d281cedf8938 · outbound

This paper cites Space-time- separable graph convolutional network for pose forecasting,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Space-time- separable graph convolutional network for pose forecasting,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.600517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f7498e39-59bf-45b9-8043-149ab1cc6e28 · outbound

This paper cites Learning trajectory depen- dencies for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Learning trajectory depen- dencies for human motion prediction,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.491343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 67f0422a-6862-4970-85df-802b750556d4 · outbound

This paper cites Progressively generating better initial guesses towards next stages for high-quality human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Progressively generating better initial guesses towards next stages for high-quality human motion prediction,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.393782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ea1bd6da-d07e-42c3-8363-6a2c18e57b46 · outbound

This paper cites Skeleton- parted graph scattering networks for 3d human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Skeleton- parted graph scattering networks for 3d human motion prediction,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.296675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b749b983-fc0c-4b65-9950-92a62f8b457f · outbound

This paper cites Ksof: Leveraging kinematics and spatio-temporal optimal fusion for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Ksof: Leveraging kinematics and spatio-temporal optimal fusion for human motion prediction,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:36.085966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:30.579207Z digest=sha256:2a554951c0fc0a4a400b867f0aaa68473d72c7713428097e51ea5fc406610231

Observation 37f0fc86-ce3c-47d7-84b6-8d31d68439e9 · outbound

This paper cites Skeleton-aware representation of spatio-temporal kinematics for 3d human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Skeleton-aware representation of spatio-temporal kinematics for 3d human motion prediction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:35.913118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:30.640725Z digest=sha256:1547386ad98285c8b201415a9e8424b02550145d6a98c2b47dace47ea2e17430

Observation 35677b50-a6e3-4043-bec5-0e91425d8c29 · outbound

This paper cites Learning progressive joint propagation for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Learning progressive joint propagation for human motion prediction,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:35.667934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:30.719960Z digest=sha256:af14a49dbf1d76003556dbccaddfbc32e916b710db43cc54af6792ae42de4cea

Observation 6593fd44-bb3d-4333-b614-930b146313a8 · outbound

This paper cites Collaborative multi- dynamic pattern modeling for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Collaborative multi- dynamic pattern modeling for human motion prediction,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:35.468568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2f1b675a-332a-41a6-8c2c-a9f6b564c180 · outbound

This paper cites E (n) equivariant graph neural networks,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction E (n) equivariant graph neural networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:35.259033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:30.888042Z digest=sha256:abcbc6a721d64d9e60117038425b8ce858faf972cf7b8e5d5e3657e6c3ad4d6b

Observation 027c492e-852f-416d-a505-af6b5a3bfb0d · outbound

This paper cites Eqmotion: Equivariant multi-agent motion prediction with invariant interaction reasoning,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Eqmotion: Equivariant multi-agent motion prediction with invariant interaction reasoning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:35.083034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation badce3af-00ca-4fde-9d1d-ed698d1012f9 · outbound

This paper cites Equivariant graph mechanics networks with constraints,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Equivariant graph mechanics networks with constraints,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:34.898522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1dbe73d1-7209-4b4f-b3ca-279d1afe40a7 · outbound

This paper cites Attention is all you need,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Attention is all you need,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:31.132048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:31.132048Z digest=sha256:53b5b3a5a72182dfbdd093f1faa3a5555c40d93dd782a4f248f3d5cff910035c

Observation 26df5359-6d1b-4470-8737-21d3762093c7 · outbound

This paper cites Style machines,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Style machines,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:34.691488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.219150Z digest=sha256:b4826ea3d6651c991a8259457cdb092eaa1f836f7919e366d16c7ea658e4ccf3

Observation e9413e76-3005-4e9b-9319-05730907d254 · outbound

This paper cites Efficient nonlinear markov models for human motion,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Efficient nonlinear markov models for human motion,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:34.490405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.282675Z digest=sha256:c3c61e72fbd4f2dbad02a08d20d2da725e3e7ab4037dab8e1f787e63bca082a7

Observation 36b4437a-353d-4be3-ac7a-4d074a7f95c1 · outbound

This paper cites Factored conditional restricted boltz- mann machines for modeling motion style,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Factored conditional restricted boltz- mann machines for modeling motion style,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:34.328981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.352353Z digest=sha256:2fa038735f5651d31c979289deae195ea06f3719e428f3b0e19f3513fd2a8b66

Observation 13d0cefd-459d-4fd0-8ecd-38f1774dafad · outbound

This paper cites Adversarial geometry-aware human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Adversarial geometry-aware human motion prediction,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:34.089445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.425120Z digest=sha256:7a7dca77e01fb26dd730bf9068cccdc2861cac265075ffc76789fe72cf199e1a

Observation 54e8e94f-5b16-4d2e-99a0-2ffe6dd67392 · outbound

This paper cites Convolutional sequence to sequence model for human dynamics,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Convolutional sequence to sequence model for human dynamics,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:33.915900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.493738Z digest=sha256:1c0e5d3c1826a12aa090e99cf73aa78a874162922646b1e037e69ac039fdb98c

Observation a61bd583-ccd8-4c14-9c43-086712075a06 · outbound

This paper cites Trajectorycnn: a new spatio-temporal feature learning network for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Trajectorycnn: a new spatio-temporal feature learning network for human motion prediction,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:33.705165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.581834Z digest=sha256:db4aa2f2b106d41db68f332b5ead011c69018e294c10aadfedaf19f7b2de3fe2

Observation d7e3d7a1-97b8-43ea-83d6-7717059886e0 · outbound

This paper cites Sta-cnn: Convolutional spatial-temporal attention learning for action recognition,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Sta-cnn: Convolutional spatial-temporal attention learning for action recognition,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:33.472663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.649126Z digest=sha256:a25ac8294c9cb39471b27a43ce0546169e3e2972cc5eabcd4bee1698ef97cb6d

Observation 0b78542c-10af-4f9f-929e-364a5402bf70 · outbound

This paper cites Kd-former: Kinematic and dynamic coupled transformer network for 3d human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Kd-former: Kinematic and dynamic coupled transformer network for 3d human motion prediction,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:33.252237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.727986Z digest=sha256:fa5f8634cf916f3f58086f4385ea8c59ef536cd4319d5b608efd62e5b7098829

Observation 05c9d99b-16a9-4172-8028-f3474397ad8c · outbound

This paper cites Back to mlp: A simple baseline for human motion prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Back to mlp: A simple baseline for human motion prediction,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:33.037319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.789337Z digest=sha256:f36100307e974d6ba838bdd2df1cce69595e7c4095749d19a39f6d3bb14ab5fa

Observation 30ecd4d6-0395-4345-9328-4106ad67e8f7 · outbound

This paper cites Pose-transformed equivariant network for 3d point trajectory prediction,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Pose-transformed equivariant network for 3d point trajectory prediction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:32.900107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.863934Z digest=sha256:4f8ebd37c7c7e734d01aa464318c7e77bc1305d36fd7e11ca175c52bcec3cd81

Observation 3177a9b5-8330-4647-b0e1-4ac4b8bf7844 · outbound

This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Se (3)-transformers: 3d roto-translation equivariant attention networks,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:32.725534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:31.930938Z digest=sha256:f18fc57e3cffc7ef4ae307d9e1b8cb58f92e7fbe0960c3f2a4bb39b30e3eb410

Observation ee12647b-6e75-4531-a3ec-cc3cf876f4b3 · outbound

This paper cites Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:32.004162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:32.004162Z digest=sha256:ccb115c88f04980b3432d5af1bac32716dd6017bd12d5b89ab869dda30c639eb

Observation f1106d79-7259-46b1-81c1-8b46f5785a80 · outbound

This paper cites Carnegie Mellon University.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Carnegie Mellon University

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:32.536130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:44:32.075750Z digest=sha256:2e21c78fc8e16ee9d5d01f9fd1ae5858333984290c336f3c17606e6af95ec994

Observation f37ab118-0935-4ece-a6c8-3bc64901db42 · outbound

This paper cites Recovering accurate 3d human pose in the wild using imus and a moving camera,.

GGMotion: Group Graph Dynamics-Kinematics Networks for Human Motion Prediction Recovering accurate 3d human pose in the wild using imus and a moving camera,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:44:32.412235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.