Paper Citation Record · LEDGER

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling

As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:1908.07214.

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

pith.paper-citation-record.v1
1908.07214 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:27:23.729103Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:24:38.406290Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:24:38.924220Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy42
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c134652e-4abf-4df5-9670-a8d1e2f808b9 · outbound

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

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling A deep learning framework for character motion synthesis and editing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.509577Z

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Observation 9d98986e-ad4e-4218-b37c-63a38f614f40 · outbound

This paper cites Motion graphs,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Motion graphs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.495559Z

Source-reported events for the cited work

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Observation fcc9f833-2245-4493-a925-aacd415017fa · outbound

This paper cites Modeling human motion using binary latent variables,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Modeling human motion using binary latent variables,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.476390Z

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Observation ef6e2705-6f43-4cf6-8bf6-a4fc46dc0cee · outbound

This paper cites Motion graphs++: a compact generative model for semantic motion analysis and synthesis,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Motion graphs++: a compact generative model for semantic motion analysis and synthesis,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.463286Z

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Observation 4ae4e2fb-7805-479a-a8a7-c07f5be598ed · outbound

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

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Phase-functioned neural networks for character control,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.447898Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6384ab7d-cbb1-4678-858a-d7dd9ea3f0cf · outbound

This paper cites Recurrent network models for human dynamics,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Recurrent network models for human dynamics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.430894Z

Source-reported events for the cited work

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Observation 2a91dca3-d93f-4ab1-89fd-79f80913db12 · outbound

This paper cites In- teractive control of avatars animated with human motion data,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling In- teractive control of avatars animated with human motion data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.417038Z

Source-reported events for the cited work

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Observation 69427784-37cb-415c-99b5-8ba056e0eb95 · outbound

This paper cites Planning biped locomotion using motion capture data and probabilistic roadmaps,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Planning biped locomotion using motion capture data and probabilistic roadmaps,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.403451Z

Source-reported events for the cited work

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Observation f62bc5db-b554-4472-9e3b-8d9bc4927f12 · outbound

This paper cites Natural character posing from a large motion database,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Natural character posing from a large motion database,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.375527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dce3406e-5a7b-4e2e-8509-dbb27c502b3b · outbound

This paper cites Spectral style transfer for human motion between independent actions,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Spectral style transfer for human motion between independent actions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.362330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca5f66ac-aee0-42ea-9adc-a3e6fe811cf4 · outbound

This paper cites Realtime style transfer for unlabeled heterogeneous human motion,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Realtime style transfer for unlabeled heterogeneous human motion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.349523Z

Source-reported events for the cited work

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Observation 1179df60-6917-4244-92b8-d6252623ce47 · outbound

This paper cites Spectral-based group formation control,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Spectral-based group formation control,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.334271Z

Source-reported events for the cited work

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Observation ed8ecb8e-1583-4b9b-a947-bb78768e8456 · outbound

This paper cites Controllable data sampling in the space of humanposes,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Controllable data sampling in the space of humanposes,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.321537Z

Source-reported events for the cited work

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Observation af648b3b-b007-4227-8c37-f95ea18ec93d · outbound

This paper cites Realtime human motion control with a small number of inertial sensors,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Realtime human motion control with a small number of inertial sensors,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.304915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e4eb29f-eafe-49df-94fe-42f16ab5f5d4 · outbound

This paper cites Synthesizing physically realistic human motion in low-dimensional, behavior- speciﬁc spaces,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Synthesizing physically realistic human motion in low-dimensional, behavior- speciﬁc spaces,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.291441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b982fb0-846f-4d5b-a44a-4c99e532964e · outbound

This paper cites Motion synthesis and editing in low- dimensional spaces: Research articles,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Motion synthesis and editing in low- dimensional spaces: Research articles,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.276393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9cef7dcb-79d7-4237-8fd4-314ec7ff4572 · outbound

This paper cites Performance animation from low- dimensional control signals,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Performance animation from low- dimensional control signals,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.256379Z

Source-reported events for the cited work

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Observation bca803a6-953d-434e-8d56-50787042d224 · outbound

This paper cites Motion reconstruction using sparse accelerometer data,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Motion reconstruction using sparse accelerometer data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.240207Z

Source-reported events for the cited work

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Observation 2306cbea-a74f-43f1-8d93-0c5beb35b082 · outbound

This paper cites Real-time posture reconstruction for microsoft kinect,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Real-time posture reconstruction for microsoft kinect,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.224927Z

Source-reported events for the cited work

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Observation 08c486f9-f838-4ab4-8997-f45dfd3f96c4 · outbound

This paper cites Kinect posture re- construction based on a local mixture of gaussian process models,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Kinect posture re- construction based on a local mixture of gaussian process models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.212737Z

Source-reported events for the cited work

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Observation 67ca7ffd-a890-4b9f-87de-dfd61189e1d9 · outbound

This paper cites Example-based human motion denoising,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Example-based human motion denoising,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.199695Z

Source-reported events for the cited work

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Observation 37669c60-ed20-4c87-b7b4-f58a28524e05 · outbound

This paper cites Imagenet classi- ﬁcation with deep convolutional neural networks,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Imagenet classi- ﬁcation with deep convolutional neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.184173Z

Source-reported events for the cited work

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Observation 416d30ea-31c2-49bc-aaed-dbc35d8b748a · outbound

This paper cites Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement 12 learning,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement 12 learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.168374Z

Source-reported events for the cited work

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Observation b77e6319-e045-4ae4-82f3-23f068077ded · outbound

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

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling On human motion prediction using recurrent neural networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:27:23.874623Z

Source-reported events for the cited work

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Observation f5ad67b9-53c9-4c57-b56b-b8b4cfd78ae3 · outbound

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

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Auto- conditioned recurrent networks for extended complex human motion synthesis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.152033Z

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Observation 1ea68283-236d-4139-9d70-872e7a9f0f0d · outbound

This paper cites Hierarchical recurrent neural network for skeleton based action recognition,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Hierarchical recurrent neural network for skeleton based action recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.137527Z

Source-reported events for the cited work

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Observation 3b9d44ff-7d0c-4abc-8a26-8d3c0a987acc · outbound

This paper cites Long-term recurrent convolutional networks for visual recognition and description,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Long-term recurrent convolutional networks for visual recognition and description,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.124661Z

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Observation 35da0947-0387-46fa-bf99-35e8033b79fe · outbound

This paper cites Recurrent attention models for depth-based person identiﬁcation,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Recurrent attention models for depth-based person identiﬁcation,

Reference 29

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Observation acd16f9b-2b23-40f9-b76d-bcbe546739b3 · outbound

This paper cites Interactive character animation by learning multi-objective control,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Interactive character animation by learning multi-objective control,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.094865Z

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Observation e5da8829-8ea0-4264-9d04-c7ee9f1e166e · outbound

This paper cites Li and R.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Li and R

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.080329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66d90461-be18-4931-8ed8-6f373f9ca15b · outbound

This paper cites Learning spatio-temporal structure from rgb-d videos for human activity detection and anticipa- tion,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Learning spatio-temporal structure from rgb-d videos for human activity detection and anticipa- tion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.066828Z

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Observation 09a5a356-219f-43a6-a2b7-bf96b7fa5b87 · outbound

This paper cites (2016) Cargnie mellon university motion database.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling (2016) Cargnie mellon university motion database

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.050264Z

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Observation 2d15ff49-bd8b-4faf-8e3f-6eb42daf34be · outbound

This paper cites Documentation mocap database hdm05,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Documentation mocap database hdm05,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.032695Z

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Observation 2d1aa0a2-ef5d-4eae-a381-20e41627f3d4 · outbound

This paper cites Berkeley mhad: A comprehensive multimodal human action database,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Berkeley mhad: A comprehensive multimodal human action database,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.016549Z

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Observation 658e709b-e920-42fa-b326-7362288d33f1 · outbound

This paper cites Action recognition based on a bag of 3d points,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Action recognition based on a bag of 3d points,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.000487Z

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Observation 02d869dd-8457-4b4c-8e62-c8938c1785ba · outbound

This paper cites Modeling spatial and temporal variation in motion data,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Modeling spatial and temporal variation in motion data,

Reference 37

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Observation 19160cfe-5677-4de0-bdd7-7f29b8067b83 · outbound

This paper cites Gaussian process dy- namical models for human motion,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Gaussian process dy- namical models for human motion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:23.970655Z

Source-reported events for the cited work

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Observation 9c6eefd6-596f-4404-b410-b93abb038df2 · outbound

This paper cites Long short-term memory,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Long short-term memory,

Reference 39

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This paper cites Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Reference 40

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This paper cites Sequence to Sequence Learning with Neural Networks.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Sequence to Sequence Learning with Neural Networks

Reference 41

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Observation f0697e33-08ad-4f22-86e8-344838f72870 · outbound

This paper cites Unsupervised Learning of Video Representations using LSTMs.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Unsupervised Learning of Video Representations using LSTMs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T12:27:23.682638Z

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Observation ca7644a6-0e46-43e5-9b18-b865e24ae4cb · outbound

This paper cites Style- based inverse kinematics,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Style- based inverse kinematics,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:24.388833Z

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Observation 9e39a3d9-ed9d-49de-9f11-5aa85b547dbe · outbound

This paper cites Dropout: A simple way to prevent neural networks from overﬁtting,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Dropout: A simple way to prevent neural networks from overﬁtting,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:23.946541Z

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Observation c3b31d0e-2e8e-4aa5-b3cf-707d106a1c3c · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 45

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This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 46

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Observation 863a6632-16c6-4ba5-b5ec-6ec544cae5dc · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling ADADELTA: An Adaptive Learning Rate Method

Reference 47

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Source-reported events for the cited work

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Observation 1d7920a4-1289-4a04-84b9-a827ca7eaeb9 · outbound

This paper cites Real-time physical modelling of character movements with microsoft kinect,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Real-time physical modelling of character movements with microsoft kinect,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:23.932272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc36beb1-a5fa-4d99-94a6-579ae8024ba3 · outbound

This paper cites Hu- man3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Hu- man3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:23.919712Z

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Observation 18ed57dd-99ab-4b65-9af2-22e18060d11d · outbound

This paper cites Learning motion manifolds with convolutional autoencoders,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Learning motion manifolds with convolutional autoencoders,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:27:23.906285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ed5f731-8b86-49b3-b623-c16bc72286d1 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 51

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Observation d45fe5b5-bdb9-4fae-b993-368955a3fdc8 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 52

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Observation 87bbdf9d-01e2-496e-8c8f-f83a247f3d23 · outbound

This paper cites Latent structured models for human pose estimation,.

Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling Latent structured models for human pose estimation,

Reference 53

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Pith citing papers

Observation d4b6ac73-3c7f-4cf8-a90b-9cdffa82d675 · inbound

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold cites this paper.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling

Reference 68

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