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Paper Citation Record · LEDGER

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.03156.

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pith.paper-citation-record.v1
2607.03156 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

43 of 43 outbound references displayed

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Outbound references

Observation 9cfe643d-0565-4f68-b247-d913c3955fab · outbound

This paper cites Fall-induced injuries and deaths among older adults,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fall-induced injuries and deaths among older adults,

Reference 1

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Observation b55f564c-7440-4817-9853-5236c0763ec5 · outbound

This paper cites Up-fall detection dataset: A multimodal approach,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Up-fall detection dataset: A multimodal approach,

Reference 2

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Observation f1a4ce8c-4118-4c96-a48a-3392768e6231 · outbound

This paper cites Fusion of machine learning and threshold-based approaches for fall detection in healthcare using inertial sensors.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fusion of machine learning and threshold-based approaches for fall detection in healthcare using inertial sensors

Reference 3

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Observation 4663462f-4c2f-4ce2-8aab-09d519145aed · outbound

This paper cites Research of fall detection and fall prevention technologies: A systematic review,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Research of fall detection and fall prevention technologies: A systematic review,

Reference 4

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Observation a99d548c-05c5-4add-9591-4aeb20c10407 · outbound

This paper cites Real-time fall detection using uncalibrated fisheye cameras,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Real-time fall detection using uncalibrated fisheye cameras,

Reference 5

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Observation d1f8057e-ca08-473e-9767-021416873cf1 · outbound

This paper cites Fall detection based on key points of human-skeleton using openpose,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fall detection based on key points of human-skeleton using openpose,

Reference 6

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Observation 04153dea-c326-4d61-9347-a3ba8488d104 · outbound

This paper cites Image segmentation based on community detection approach,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Image segmentation based on community detection approach,

Reference 7

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Observation 0f8986c0-4946-4eb1-9763-0018200cb02d · outbound

This paper cites Graph neural networks: A review of methods and applications,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Graph neural networks: A review of methods and applications,

Reference 8

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Observation 5425345d-133b-433e-aed6-33c40dfe2d05 · outbound

This paper cites Connectivity in hypergraphs,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Connectivity in hypergraphs,

Reference 9

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Observation 26c85716-7c08-459c-8bcd-62496203a4ae · outbound

This paper cites Transformer-based fall detection in videos,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Transformer-based fall detection in videos,

Reference 10

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Observation 6f654527-3422-4c7c-b5a7-5ef62b4e5499 · outbound

This paper cites Deep learning on spatiotemporal graphs: a systematic review, methodological landscape, and research opportunities,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Deep learning on spatiotemporal graphs: a systematic review, methodological landscape, and research opportunities,

Reference 11

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Observation ade1604d-36ea-48fb-a453-be2e78676cda · outbound

This paper cites A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships

Reference 12

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Observation 4218a0ac-46f8-4af0-8112-5c2f9381e775 · outbound

This paper cites A Survey of Mamba.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A Survey of Mamba

Reference 13

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Observation ce914302-4df0-4cf0-966d-f45e34ddc2a0 · outbound

This paper cites A survey on knowledge distillation: Recent advancements,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A survey on knowledge distillation: Recent advancements,

Reference 14

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Observation edcc81aa-d094-4642-b1ae-6f20f3a17784 · outbound

This paper cites Learning spatial-preserved skeleton representations for few- shot action recognition,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Learning spatial-preserved skeleton representations for few- shot action recognition,

Reference 15

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Observation a147835c-4106-4972-9b40-1e57b6dcb4ea · outbound

This paper cites Joint temporal pooling for improving skeleton-based action recognition,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Joint temporal pooling for improving skeleton-based action recognition,

Reference 16

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Observation 4e7d3f7d-4f4e-4594-a46f-3c77a5e4193d · outbound

This paper cites Relational knowledge distilla- tion,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Relational knowledge distilla- tion,

Reference 17

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Observation 65214f9e-7e31-4bd8-968d-580e151c0da0 · outbound

This paper cites Sensor-based fall detection systems: a review,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Sensor-based fall detection systems: a review,

Reference 18

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Observation a6425aeb-04da-4c6b-a3da-c6de0427b40f · outbound

This paper cites Fall detec- tion using machine learning algorithms,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fall detec- tion using machine learning algorithms,

Reference 19

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Observation 5fc57c66-716d-4034-8b40-33b131eae0aa · outbound

This paper cites Machine learning and feature ranking for impact fall detection event using multisensor data,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Machine learning and feature ranking for impact fall detection event using multisensor data,

Reference 20

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Observation e52665de-6d99-4820-9900-ed428f7c6bce · outbound

This paper cites Deep learning for vision-based fall detection system: Enhanced optical dynamic flow,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Deep learning for vision-based fall detection system: Enhanced optical dynamic flow,

Reference 21

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Observation 2b6824ba-8b60-42a3-a4a5-7cf09c1d32fd · outbound

This paper cites A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the up-fall detection dataset,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the up-fall detection dataset,

Reference 22

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Observation eff5cef6-a4a5-4bfd-a2d9-8dec85c8d525 · outbound

This paper cites Fall detection with cnn-casual lstm network,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fall detection with cnn-casual lstm network,

Reference 23

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Observation 1b4692d5-23d2-4db3-994f-bebf5aac3454 · outbound

This paper cites Skeleton-based fall detection using spatial temporal graph convolutional networks with learnable edges,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Skeleton-based fall detection using spatial temporal graph convolutional networks with learnable edges,

Reference 24

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Observation b1a410d0-15a5-4598-a75c-ed4643fcd88c · outbound

This paper cites Self-knowledge distillation: an efficient approach for falling detection,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Self-knowledge distillation: an efficient approach for falling detection,

Reference 25

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Observation 4c2e8969-4422-4b2f-9b8e-a1a30870af35 · outbound

This paper cites Prefallkd: Pre-impact fall detection via cnn-vit knowledge distillation,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Prefallkd: Pre-impact fall detection via cnn-vit knowledge distillation,

Reference 26

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Observation 3af8e7cd-22c6-4f2b-8454-5230202ee383 · outbound

This paper cites When object detection meets knowledge distillation: A survey,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection When object detection meets knowledge distillation: A survey,

Reference 27

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Observation eac16ab0-8292-4bd4-8421-1c706b36431d · outbound

This paper cites An improved 3d skeletons up-fall dataset: enhancing data quality for efficient impact fall detection,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection An improved 3d skeletons up-fall dataset: enhancing data quality for efficient impact fall detection,

Reference 28

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Observation 089dc67a-79ce-4302-92a9-6d966aeafbbd · outbound

This paper cites Umafall: A multisensor dataset for the research on automatic fall detection,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Umafall: A multisensor dataset for the research on automatic fall detection,

Reference 29

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Observation 9d4d48cc-19a3-41d9-ac76-2adee41aaf42 · outbound

This paper cites Multi-camera, multi-person, and real-time fall detection using long short term mem- ory,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Multi-camera, multi-person, and real-time fall detection using long short term mem- ory,

Reference 30

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Observation 9c224080-0335-4185-b6b6-4d82198b31c3 · outbound

This paper cites A multimodal approach using deep learning for fall detection,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A multimodal approach using deep learning for fall detection,

Reference 31

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Observation c57ad816-153d-4c9a-804f-039c2b386a89 · outbound

This paper cites Sdfa: Structure-aware discrim- inative feature aggregation for efficient human fall detection in video,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Sdfa: Structure-aware discrim- inative feature aggregation for efficient human fall detection in video,

Reference 32

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Observation c7d3af65-9ac2-4f59-8beb-9cd43bed51d8 · outbound

This paper cites Skeleton-based fall detection with multiple inertial sensors using spatial-temporal graph convolutional networks,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Skeleton-based fall detection with multiple inertial sensors using spatial-temporal graph convolutional networks,

Reference 33

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Observation 34a1a498-bd26-4b13-90f6-407dac68e729 · outbound

This paper cites Bert for activity recognition using sequences of skeleton features and data augmentation with gan,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Bert for activity recognition using sequences of skeleton features and data augmentation with gan,

Reference 34

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Observation 4cdc4bcd-3f3e-4e28-8889-29dd996aed9e · outbound

This paper cites Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection,

Reference 35

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Observation 9779e762-9a4f-4f73-83dd-41553ea922a7 · outbound

This paper cites Fl-fd: Federated learning-based fall detection with multimodal data fusion,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fl-fd: Federated learning-based fall detection with multimodal data fusion,

Reference 36

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This paper cites A novel vision-based fall detection scheme using keypoints of human skeleton with long short- term memory network,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection A novel vision-based fall detection scheme using keypoints of human skeleton with long short- term memory network,

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This paper cites Fall detection method based on spatio-temporal coordinate attention for high-resolution networks,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fall detection method based on spatio-temporal coordinate attention for high-resolution networks,

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Observation 0f194332-4510-45cb-9e82-f5c06d18f7c0 · outbound

This paper cites Xai-fall: Explainable ai for fall de- tection on wearable devices using sequence models and xai techniques,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Xai-fall: Explainable ai for fall de- tection on wearable devices using sequence models and xai techniques,

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Observation fa230ef0-5b50-496e-9504-ad72fdac83ff · outbound

This paper cites Fallnext: A deep residual model based on multi-branch aggregation for sensor-based fall detec- tion,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Fallnext: A deep residual model based on multi-branch aggregation for sensor-based fall detec- tion,

Reference 40

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Observation 76007bf9-abc6-41d4-b63e-891cfaaa2820 · outbound

This paper cites Vision-based fall detection using st-gcn,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Vision-based fall detection using st-gcn,

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Observation 71c402a5-5e57-4ccf-87e1-8509da3caae2 · outbound

This paper cites Smartphones and attention, curse or blessing?-a review on the effects of smartphone usage on attention, inhibition, and working memory,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Smartphones and attention, curse or blessing?-a review on the effects of smartphone usage on attention, inhibition, and working memory,

Reference 42

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Observation cae866e7-4168-45e3-9c48-4835aa403312 · outbound

This paper cites Performance evaluation of raspberry pi 4 and stm32 nucleo boards for security- related operations in iot environments,.

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection Performance evaluation of raspberry pi 4 and stm32 nucleo boards for security- related operations in iot environments,

Reference 43

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