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Paper Citation Record · LEDGER

MotionMap: Representing Multimodality in Human Pose Forecasting

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.18883.

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

pith.paper-citation-record.v1
2412.18883 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:26:36.038765Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

43 of 43 outbound references displayed

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  • verified fuzzy41
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76dea0e0-1c75-4616-b449-ead4ac664285 · outbound

This paper cites Belfusion: Latent diffusion for behavior-driven human motion prediction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Belfusion: Latent diffusion for behavior-driven human motion prediction,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation a02720d4-61f3-4170-8680-b53301532125 · outbound

This paper cites Comusion: Towards con- sistent stochastic human motion prediction via motion diffusion,.

MotionMap: Representing Multimodality in Human Pose Forecasting Comusion: Towards con- sistent stochastic human motion prediction via motion diffusion,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 48a5c83a-bd24-420e-981b-15492d8bb047 · outbound

This paper cites Dlow: Diversifying latent flows for diverse human motion prediction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Dlow: Diversifying latent flows for diverse human motion prediction,

Reference 3

Resolution
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Source-reported events for the cited work

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Observation acf3cd2c-6cbb-4c83-9f9f-5033108e4c6e · outbound

This paper cites Di- verse human motion prediction via gumbel-softmax sampling from an auxiliary space,.

MotionMap: Representing Multimodality in Human Pose Forecasting Di- verse human motion prediction via gumbel-softmax sampling from an auxiliary space,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 8753bcb4-ca4e-456e-8f31-97e2b03cb6eb · outbound

This paper cites Convo- lutional sequence to sequence model for human dy- namics,.

MotionMap: Representing Multimodality in Human Pose Forecasting Convo- lutional sequence to sequence model for human dy- namics,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cdaf5277-353b-48f0-ac51-353f08d797cf · outbound

This paper cites Back to mlp: A sim- ple baseline for human motion prediction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Back to mlp: A sim- ple baseline for human motion prediction,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a01205c4-b24e-44fd-ad64-7b0b120dec92 · outbound

This paper cites Re- current network models for human dynamics,.

MotionMap: Representing Multimodality in Human Pose Forecasting Re- current network models for human dynamics,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 04632157-e1f0-4f53-a9ff-d2d384cdbb0c · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting Structural-rnn: Deep learning on spatio-temporal graphs,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5ff9ef7a-1615-4aaa-b4ed-3cf4141dfd2f · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting On human motion prediction using recurrent neural networks,

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 2026-08-17T06:30:58.91139+00:00.

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Observation c7d8a16d-7ec3-4fbb-a982-61338a92fe13 · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting History repeats itself: Human motion prediction via motion attention,

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 2026-08-17T06:30:58.91139+00:00.

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Observation 1e4e99d7-6ce4-4ac4-9a0e-163fe24ba67f · outbound

This paper cites Learning trajectory dependencies for human motion prediction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Learning trajectory dependencies for human motion prediction,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 43fba1ba-eda5-4093-a2a8-b7133b976804 · outbound

This paper cites Learning dynamic re- lationships for 3d human motion prediction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Learning dynamic re- lationships for 3d human motion prediction,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 19a47874-972a-4438-a419-ab483263ab70 · outbound

This paper cites Motion prediction using trajectory cues,.

MotionMap: Representing Multimodality in Human Pose Forecasting Motion prediction using trajectory cues,

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 2026-08-17T06:30:58.91139+00:00.

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Observation e2affb93-4f86-46e1-aac7-51a76e5d09d9 · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting Space-time-separable graph convolutional network for pose forecasting,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4146ee0a-9667-4e0c-bbf1-abccd4189dd0 · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting Progres- sively generating better initial guesses towards next stages for high-quality human motion prediction,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 83838349-c9a4-41a6-9c75-629d0dbf9869 · outbound

This paper cites Toward reliable hu- man pose forecasting with uncertainty,.

MotionMap: Representing Multimodality in Human Pose Forecasting Toward reliable hu- man pose forecasting with uncertainty,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ebccdc81-dd89-4434-a723-1251c44ca091 · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting A spatio-temporal transformer for 3d human motion pre- diction,

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 2026-08-17T06:30:58.91139+00:00.

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Observation 4677f679-4f99-4591-bd88-491e420ab348 · outbound

This paper cites Motionbert: A unified perspective on learning hu- man motion representations,.

MotionMap: Representing Multimodality in Human Pose Forecasting Motionbert: A unified perspective on learning hu- man motion representations,

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 2026-08-17T06:30:58.91139+00:00.

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Observation 8e508f46-a13b-4bd2-b327-b8f9ffde5493 · outbound

This paper cites Hp-gan: Proba- bilistic 3d human motion prediction via gan,.

MotionMap: Representing Multimodality in Human Pose Forecasting Hp-gan: Proba- bilistic 3d human motion prediction via gan,

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4c62b106-e1d4-473e-86bf-77bbc7585ba2 · outbound

This paper cites Bihmp-gan: Bidirectional 3d human motion prediction gan,.

MotionMap: Representing Multimodality in Human Pose Forecasting Bihmp-gan: Bidirectional 3d human motion prediction gan,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.421925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8d961737-2c48-47d8-afe0-11d762528aca · outbound

This paper cites The pose knows: Video forecasting by generating pose futures,.

MotionMap: Representing Multimodality in Human Pose Forecasting The pose knows: Video forecasting by generating pose futures,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation e79d38e6-9513-4c20-a023-03e464957de2 · outbound

This paper cites Mt- vae: Learning motion transformations to generate mul- timodal human dynamics,.

MotionMap: Representing Multimodality in Human Pose Forecasting Mt- vae: Learning motion transformations to generate mul- timodal human dynamics,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.394292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b38b4ae5-cf86-4943-8e8d-5924254b2212 · outbound

This paper cites A unified 3d human motion synthesis model via conditional varia- tional auto-encoder,.

MotionMap: Representing Multimodality in Human Pose Forecasting A unified 3d human motion synthesis model via conditional varia- tional auto-encoder,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 51e762b1-aab6-44ff-93e9-9c10171c7bb9 · outbound

This paper cites Generating smooth pose sequences for diverse human motion pre- diction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Generating smooth pose sequences for diverse human motion pre- diction,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.364410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e4f06a24-cf66-4924-9438-98e81051bf3a · outbound

This paper cites Motron: Mul- timodal probabilistic human motion forecasting,.

MotionMap: Representing Multimodality in Human Pose Forecasting Motron: Mul- timodal probabilistic human motion forecasting,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8b4301e5-4936-4226-8b68-53ceae8dcc42 · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting Humanmac: Masked motion completion for human motion prediction,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.334714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 70146e11-993b-427f-96ec-d39e216aa517 · outbound

This paper cites A generic diffusion-based approach for 3d human pose prediction in the wild,.

MotionMap: Representing Multimodality in Human Pose Forecasting A generic diffusion-based approach for 3d human pose prediction in the wild,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.320824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b2c601db-cf38-4ebd-a31a-c8b6ec8c0ee0 · outbound

This paper cites Diverse human mo- tion prediction guided by multi-level spatial-temporal anchors,.

MotionMap: Representing Multimodality in Human Pose Forecasting Diverse human mo- tion prediction guided by multi-level spatial-temporal anchors,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.306410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 16509864-8456-47a0-a0d9-d69b6b9abaa3 · outbound

This paper cites Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction.

MotionMap: Representing Multimodality in Human Pose Forecasting Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:26:36.082572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 21bb9a21-62ce-4b89-8995-a9c57c5e802e · outbound

This paper cites Motion diversification net- works,.

MotionMap: Representing Multimodality in Human Pose Forecasting Motion diversification net- works,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.293231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7a65ef31-15b5-4a7a-9ff5-e25ab2ed4673 · outbound

This paper cites Faithful heteroscedastic regres- sion with neural networks,.

MotionMap: Representing Multimodality in Human Pose Forecasting Faithful heteroscedastic regres- sion with neural networks,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.279305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 54cc0d9b-49e3-4ee8-a067-54350871ddbd · outbound

This paper cites On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks,.

MotionMap: Representing Multimodality in Human Pose Forecasting On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.265778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4885fe55-606e-4384-a830-511586e308f2 · outbound

This paper cites Effective bayesian heteroscedastic regression with deep neural networks,.

MotionMap: Representing Multimodality in Human Pose Forecasting Effective bayesian heteroscedastic regression with deep neural networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.251420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b2fb8e26-cb5a-4ed5-9e3a-7ef08a6aaac1 · outbound

This paper cites Tic-tac: A framework for improved covariance estimation in deep heteroscedastic regression,.

MotionMap: Representing Multimodality in Human Pose Forecasting Tic-tac: A framework for improved covariance estimation in deep heteroscedastic regression,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.237009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f730e527-a3cc-461b-b867-a885e4702331 · outbound

This paper cites Towards self-supervised covariance estimation in deep heteroscedastic regression,.

MotionMap: Representing Multimodality in Human Pose Forecasting Towards self-supervised covariance estimation in deep heteroscedastic regression,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.222836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f5d10098-d4c2-4d6e-991f-657e9aee1b9f · outbound

This paper cites Visualizing data using t-sne,.

MotionMap: Representing Multimodality in Human Pose Forecasting Visualizing data using t-sne,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.193629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 09bf9134-42b9-4ff2-997d-c3d1436f0dc7 · outbound

This paper cites Available: https://opentsne.readthedocs.io/ en/stable/ 5,.

MotionMap: Representing Multimodality in Human Pose Forecasting Available: https://opentsne.readthedocs.io/ en/stable/ 5,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.160371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T04:26:36.019951Z digest=sha256:25793602f27b7c9f548ed36848fd538f2b364b94ce75fd7abcede2f8d9cad00c

Observation 1b565737-347a-45b5-a394-f44fba4ff2b0 · outbound

This paper cites Amass: Archive of motion capture as surface shapes,.

MotionMap: Representing Multimodality in Human Pose Forecasting Amass: Archive of motion capture as surface shapes,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.145805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e974879f-0e41-4df0-86de-e1a50dec3b76 · outbound

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

MotionMap: Representing Multimodality in Human Pose Forecasting Human3. 6m: Large scale datasets and predictive meth- ods for 3d human sensing in natural environments,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.130816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T04:26:36.029230Z digest=sha256:f0547092a349f101fe2199f9f5a2d8ffca7b81f6606ea59ad07e2c21c677f39b

Observation 4af9a8cd-9b3a-4ac9-80b3-6862ac8018bd · outbound

This paper cites The pose knows: Video forecasting by generating pose futures,.

MotionMap: Representing Multimodality in Human Pose Forecasting The pose knows: Video forecasting by generating pose futures,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.113750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T04:26:36.034180Z digest=sha256:b05d52257fa78d2dc2f125fac2afd6d9ab2e6a0df1f61bc6a70222ce7c2fcac2

Observation 0168c802-0c37-4c18-b611-ed70d16b6cb4 · outbound

This paper cites Generating smooth pose sequences for diverse human motion pre- diction,.

MotionMap: Representing Multimodality in Human Pose Forecasting Generating smooth pose sequences for diverse human motion pre- diction,

Reference 41

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T04:26:36.098554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T04:26:36.038765Z digest=sha256:48f80ec37c25c682cb735f5cd582b408b4d2f1ac80dfe12b1089533e7c6bb071

Observation e44252f2-1285-48ba-b9ca-a76ed7d2ae82 · outbound

This paper cites Available: http://jmlr.org/papers/v9/ vandermaaten08a.html 5.

MotionMap: Representing Multimodality in Human Pose Forecasting Available: http://jmlr.org/papers/v9/ vandermaaten08a.html 5

Reference 2008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.179675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T04:26:36.014179Z digest=sha256:124dbc3a037f56ac3ad3db3a0e2b43df168697d0b7f945c2823a70c683ac2427

Observation 3ea00ddb-7fb4-4ed6-bae8-2c18b6749bff · outbound

This paper cites Available: https://openreview.net/ forum?id=Q1kPHLUbhi 4.

MotionMap: Representing Multimodality in Human Pose Forecasting Available: https://openreview.net/ forum?id=Q1kPHLUbhi 4

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:26:36.208548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T04:26:36.005234Z digest=sha256:3d8a107a04ceb09d80855c575566dcfce4423176d943582bfd4ea07aeb3bba7e

Pith citing papers

No inbound Pith citation observations are available.