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Paper Citation Record · LEDGER

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.17121.

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

pith.paper-citation-record.v1
2607.17121 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:01:14.949549Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

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24 of 24 outbound references displayed

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Outbound references

Observation 563ead22-830c-4aee-867e-ccc333547c32 · outbound

This paper cites Survey on Emotional Body Gesture Recognition.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Survey on Emotional Body Gesture Recognition

Reference 1

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Observation 2342d618-6d26-4604-acef-f3306195e1b4 · outbound

This paper cites Real-time Automatic Emotion Recognition from Body Gestures.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Real-time Automatic Emotion Recognition from Body Gestures

Reference 2

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Observation b8fa7255-0992-4c7e-9ed2-d3fd67a1bf92 · outbound

This paper cites Emotion Recognition from Skeleton Data: A Comprehensive Survey.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Emotion Recognition from Skeleton Data: A Comprehensive Survey

Reference 3

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Observation 49dc3bfd-491a-4ead-842f-40bd58aeaf86 · outbound

This paper cites Asian emotional body movement database: Diverse Intercultural E- Motion Database of Asian Performers (DIEM-A),.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Asian emotional body movement database: Diverse Intercultural E- Motion Database of Asian Performers (DIEM-A),

Reference 4

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Observation d04378e9-1acb-4de1-bffc-9caf3b486842 · outbound

This paper cites MMAC@ACII 2026 Challenge,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions MMAC@ACII 2026 Challenge,

Reference 5

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Observation 0f3d7353-1105-42f9-8595-c48918705ce5 · outbound

This paper cites Human action recognition via dataset condensation,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Human action recognition via dataset condensation,

Reference 6

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Observation d2ab6789-2425-414b-b87d-304fc61959d9 · outbound

This paper cites Few-shot human action anomaly detection via a unified contrastive learning framework,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Few-shot human action anomaly detection via a unified contrastive learning framework,

Reference 7

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Observation 088ab420-ac3e-4e64-860e-e8d2e40f1db8 · outbound

This paper cites Orientation-aware leg movement learning for action-driven human motion prediction,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Orientation-aware leg movement learning for action-driven human motion prediction,

Reference 8

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Observation 9abba628-fb51-4c54-b0b1-234c5c771195 · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 9

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Observation 6c2ad2e5-7974-4ea0-ac73-f8f14da6e2bb · outbound

This paper cites PYSKL: Towards Good Practices for Skeleton Action Recognition.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions PYSKL: Towards Good Practices for Skeleton Action Recognition

Reference 10

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Observation b9f97320-52c6-4895-a157-4a978a6a95e3 · outbound

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

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions On the continuity of rotation representations in neural networks,

Reference 11

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Observation 36e68b7f-9c81-4887-a235-ff758147a9ca · outbound

This paper cites Two-stream adaptive graph convolutional networks for skeleton-based action recognition,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Two-stream adaptive graph convolutional networks for skeleton-based action recognition,

Reference 12

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Observation 785c5cd0-36f1-4837-9f73-dc8bbb2f78b8 · outbound

This paper cites Skeleton-based action recog- nition with multi-stream adaptive graph convolutional networks,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Skeleton-based action recog- nition with multi-stream adaptive graph convolutional networks,

Reference 13

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Observation fe6345d2-a8bf-4dc6-b394-768dde6ab51e · outbound

This paper cites PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

Reference 14

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Observation cb086cd7-8cb2-42dc-b264-501111ef93b2 · outbound

This paper cites STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition

Reference 15

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Observation 243a37b9-f9cf-4e15-ab55-e1ba07bea5ef · outbound

This paper cites Frequency- guided multi-level human action anomaly detection with normalizing flows,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Frequency- guided multi-level human action anomaly detection with normalizing flows,

Reference 16

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Observation 72f128c2-6f35-4744-88de-25650e5467c8 · outbound

This paper cites Label distribution learning,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Label distribution learning,

Reference 17

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Observation ed172963-0f1d-4e52-8c16-bc8cf39cb308 · outbound

This paper cites When does label smoothing help?.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions When does label smoothing help?

Reference 18

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Observation 36689358-d7ba-4339-a00c-a7b5070c3537 · outbound

This paper cites Learning with Confidence: Training Better Classifiers from Soft Labels.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Learning with Confidence: Training Better Classifiers from Soft Labels

Reference 19

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Observation 7ccf9b61-90e6-4539-9578-9641d2da7a01 · outbound

This paper cites Learning to recognize per-rater’s emotion perception using co-rater training strategy with soft and hard labels,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Learning to recognize per-rater’s emotion perception using co-rater training strategy with soft and hard labels,

Reference 20

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Observation fcbf59ab-6cbb-404a-ae51-4a60fe61aff7 · outbound

This paper cites Emotion profile refinery for speech emotion classification,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Emotion profile refinery for speech emotion classification,

Reference 21

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Observation dd97cdd8-bec1-4de2-9ab5-3cb63d51f6e1 · outbound

This paper cites End-to-end label uncertainty modeling in speech emotion recognition using bayesian neural networks and label distribution learning,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions End-to-end label uncertainty modeling in speech emotion recognition using bayesian neural networks and label distribution learning,

Reference 22

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Observation 9dbb727f-3e40-40ef-918f-4841630fc8b0 · outbound

This paper cites Uncertainty-aware label distribution learning for facial expression recognition,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions Uncertainty-aware label distribution learning for facial expression recognition,

Reference 23

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Observation 6ddb163f-243c-4aa8-b49e-9dc3bedd3ff3 · outbound

This paper cites AmbER 2: Dual ambiguity- aware emotion recognition applied to speech and text,.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions AmbER 2: Dual ambiguity- aware emotion recognition applied to speech and text,

Reference 24

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Pith citing papers

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