Paper Citation Record · LEDGER

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.00317.

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

pith.paper-citation-record.v1
2501.00317 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:57:30.851994Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy17
unresolved19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98248364-fc02-4db3-93e7-03959169caaa · outbound

This paper cites Human-aware robotic assistant for collabo- rative assembly: Integrating human motion prediction with planning in time,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Human-aware robotic assistant for collabo- rative assembly: Integrating human motion prediction with planning in time,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.588737Z

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Observation f92a3f47-0d63-4c6d-9be3-9d844b338fcb · outbound

This paper cites A neural temporal model for human motion prediction,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction A neural temporal model for human motion prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.602715Z

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Observation 43c96da6-c94c-4cfa-9ba8-0880230072c6 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction 3d point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.603620Z

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Observation e4a97c0f-a4b3-45d6-9a8a-bf1504c99452 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Convolutional sequence to sequence model for human dynamics,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.569254Z

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Observation 31a6c932-a37c-4fb9-bb47-456370aff219 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Trajectorycnn: a new spatio-temporal feature learning network for human motion prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.539708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 178ee6e0-3cfc-4051-8e42-b32ad21600ca · outbound

This paper cites Efficient human motion prediction using temporal convolutional generative adversarial network,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Efficient human motion prediction using temporal convolutional generative adversarial network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.518493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bbd4e06-e1fc-4f70-8211-60ac95d35866 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction On human motion prediction using recurrent neural networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.642909Z

Source-reported events for the cited work

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Observation 99dfe854-ea13-499c-b850-73d1cc0c5116 · outbound

This paper cites Context- aware human motion prediction,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Context- aware human motion prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.488885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2516bad1-440a-442c-a112-fc32a1a53d40 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.660142Z

Source-reported events for the cited work

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Observation 53a77c29-f7bf-430e-8478-b911f71e9212 · outbound

This paper cites Video prediction recalling long-term motion context via memory alignment learning,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Video prediction recalling long-term motion context via memory alignment learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.469995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 321578dd-aaf5-4d89-bd16-7c2ea28a0054 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Learning progressive joint propagation for human motion prediction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.441690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6797d8ed-c75b-4133-96a5-9e354770e221 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Pose trans- formers (potr): Human motion prediction with non-autoregressive trans- formers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.423098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4dc9dd63-7af0-49b9-80b5-b9180838ad08 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Auxiliary tasks benefit 3d skeleton-based human motion prediction,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.685945Z

Source-reported events for the cited work

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Observation c00d77c8-f019-4f85-ab89-1dc053cd1e11 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Skeleton- parted graph scattering networks for 3d human motion prediction,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.690640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec622bd-1291-4e2e-804b-036bfb2fdfb4 · outbound

This paper cites Decompose more and aggregate better: Two closer looks at frequency representation learning for human motion prediction,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Decompose more and aggregate better: Two closer looks at frequency representation learning for human motion prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.350829Z

Source-reported events for the cited work

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Observation 61e02708-a0bb-4561-bdd3-1a826f06da04 · outbound

This paper cites Dynamic composi- tional graph convolutional network for efficient composite human motion prediction,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Dynamic composi- tional graph convolutional network for efficient composite human motion prediction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.321664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b63b64c3-511f-4fb1-86e9-1233fe3c073d · outbound

This paper cites Skeleton- based online action prediction using scale selection network,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Skeleton- based online action prediction using scale selection network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.291734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb39442c-01c1-45b4-a4a9-e3d3193f2f84 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.726489Z

Source-reported events for the cited work

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Observation c44d8ec0-24e4-441e-b834-fe5c6c71adde · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Msr-gcn: Multi-scale residual graph convolution networks for human motion prediction,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.736054Z

Source-reported events for the cited work

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Observation d7f078e5-2df2-487a-a5e6-eea60993b9fe · outbound

This paper cites Towards accurate 3d human motion prediction from incomplete observations,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Towards accurate 3d human motion prediction from incomplete observations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.226854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06d8ed48-95e5-4a68-ac39-df5a7e184f43 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Progressively generating better initial guesses towards next stages for high-quality human motion prediction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.189857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5596b61-869b-4d8d-99aa-623f0b4a4e26 · outbound

This paper cites Masked autoencoders as spatiotemporal learners,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Masked autoencoders as spatiotemporal learners,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.753680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70388f65-f2de-4422-9e16-e6eaebd0dc9f · outbound

This paper cites Temporal attention unit: Towards efficient spatiotemporal predictive learning,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Temporal attention unit: Towards efficient spatiotemporal predictive learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.758652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e042e2c-dca2-4dc3-b908-dc0e50508caf · outbound

This paper cites Spatio-temporal gating-adjacency gcn for human motion prediction. 2022 ieee,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Spatio-temporal gating-adjacency gcn for human motion prediction. 2022 ieee,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.142321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c878567-5b6e-455b-b992-779d7a6a173b · outbound

This paper cites Spatio- temporal branching for motion prediction using motion increments,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Spatio- temporal branching for motion prediction using motion increments,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.769689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db4449c-8951-4de8-89b5-a8034513cf8a · outbound

This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Learning Factored Representations in a Deep Mixture of Experts

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.774453Z

Source-reported events for the cited work

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Observation 3ca25b09-9443-4850-848d-e5a9b8cbeff6 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.782317Z

Source-reported events for the cited work

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Observation 7cbafc5f-1406-4543-a0e5-4b675a4c23fd · outbound

This paper cites Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.791182Z

Source-reported events for the cited work

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Observation 4b0098f9-7f05-4974-94b1-df14d1efded2 · outbound

This paper cites A Closer Look into Mixture-of-Experts in Large Language Models.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction A Closer Look into Mixture-of-Experts in Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.801524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948255df-e358-4ce5-9f51-685b83eda4df · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Learning trajectory depen- dencies for human motion prediction,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.809932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ceb201-b11f-4447-8ec4-4c3892963dac · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction History repeats itself: Human motion prediction via motion attention,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.814580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289de372-019e-442b-9b6d-5c254ac56d3e · outbound

This paper cites Fast and furious: Real time end- to-end 3d detection, tracking and motion forecasting with a single convolutional net,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Fast and furious: Real time end- to-end 3d detection, tracking and motion forecasting with a single convolutional net,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.081927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 361a691b-b565-4f5b-8ff6-4051e3e5ba11 · outbound

This paper cites Skele- ton graph scattering networks for 3d skeleton-based human motion prediction,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Skele- ton graph scattering networks for 3d skeleton-based human motion prediction,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.826384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e48b29c7-844b-47c2-8ba7-22b56b898afe · outbound

This paper cites Human motion predic- tion via spatio-temporal inpainting,.

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Human motion predic- tion via spatio-temporal inpainting,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.047769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82cd4b95-9fbc-4b3e-837e-4bdb40ca9843 · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T22:57:30.844660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e68837-f953-41c4-9a7a-cc1c709e338e · outbound

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

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Space-time- separable graph convolutional network for pose forecasting,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:57:31.015093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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