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Paper Citation Record · LEDGER

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention

As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.06472.

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

pith.paper-citation-record.v1
2501.06472 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:05:26.098860Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

29 of 29 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23e0ccbb-7f5e-4823-85ea-22b41d1bc61c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 61811642-3cc4-4141-97e1-fa8232af3dd2 · outbound

This paper cites The pascal visual object classes challenge: A retrospective,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention The pascal visual object classes challenge: A retrospective,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 86969cb6-4114-4cf8-8af3-5c6da760803b · outbound

This paper cites You only look once: Unified, real-time object detection,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention You only look once: Unified, real-time object detection,

Reference 3

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Observation 8e8ee188-e1bb-41ee-bc32-4caad5ce0e39 · outbound

This paper cites Center- net: Keypoint triplets for object detection,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Center- net: Keypoint triplets for object detection,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation db930aeb-b76f-4395-8fa7-65afa0259287 · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 5

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Observation 24d26420-d74b-4cb2-8b55-0d170b9d1b44 · outbound

This paper cites Attention is all you need,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Attention is all you need,

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 68f63d47-82dc-4448-9c52-7c0d85dcd6af · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 7

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Observation 2f02b033-d839-4bb7-935e-313386d2c075 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b0126525-2b2d-4a87-8826-66aa55b1298a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 05c002d6-8855-4a9d-a4da-3e6703cc86e3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Imagenet: A large-scale hierarchical image database,

Reference 10

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Observation df328e8c-ceab-47a3-927e-a92c3a4b472c · outbound

This paper cites Deep residual learning for image recognition,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Deep residual learning for image recognition,

Reference 11

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Observation 9796a7de-8be4-4933-a1a3-3e194dec2a5e · outbound

This paper cites Td-net: Trans- deformer network for automatic pancreas segmentation,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Td-net: Trans- deformer network for automatic pancreas segmentation,

Reference 12

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Source-reported events for the cited work

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Observation 5eb07335-e865-43c6-bf16-7c0f93338db1 · outbound

This paper cites Tse deeplab: An efficient visual transformer for medical image segmentation,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Tse deeplab: An efficient visual transformer for medical image segmentation,

Reference 13

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Source-reported events for the cited work

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Observation a29ad194-0ac1-4f64-bb2f-b0ab1a4c3c96 · outbound

This paper cites Swin- t-nfc crfs: An encoder–decoder neural model for high-precision uav positioning via point cloud super resolution and image semantic segmentation,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Swin- t-nfc crfs: An encoder–decoder neural model for high-precision uav positioning via point cloud super resolution and image semantic segmentation,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6482e0a3-a856-4708-86d7-a770d01b1cc4 · outbound

This paper cites Ttnet: Real-time temporal and spatial video analysis of table tennis,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Ttnet: Real-time temporal and spatial video analysis of table tennis,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 83ba2e31-4e59-4dfe-9c70-26dcd67498e7 · outbound

This paper cites Tracknetv2: Efficient shuttlecock tracking network,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Tracknetv2: Efficient shuttlecock tracking network,

Reference 16

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Source-reported events for the cited work

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Observation 80532008-4fe9-47b6-8e77-d7dfd54f3b78 · outbound

This paper cites Widely Applicable Strong Baseline for Sports Ball Detection and Tracking.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Widely Applicable Strong Baseline for Sports Ball Detection and Tracking

Reference 17

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Source-reported events for the cited work

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Observation eeae0369-1230-4c24-8a28-7e9da8d44339 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention U-net: Convolutional networks for biomedical image segmentation,

Reference 18

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Observation a15aa024-c245-49dd-93de-e3f805baf91e · outbound

This paper cites Deep high-resolution representation learning for visual recognition,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Deep high-resolution representation learning for visual recognition,

Reference 19

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Observation 0c82ac79-2c97-48ad-b8bb-82b5f1eff5da · outbound

This paper cites Deep learning-based algorithm for recognizing tennis balls,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Deep learning-based algorithm for recognizing tennis balls,

Reference 20

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Source-reported events for the cited work

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Observation c2ba877c-fdf6-4a69-94bd-729d87208acd · outbound

This paper cites Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter

Reference 21

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Observation 617ed63a-5476-4f0a-8a98-dee4d53575d3 · outbound

This paper cites YOLOv3: An Incremental Improvement.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention YOLOv3: An Incremental Improvement

Reference 22

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Observation 57f6ea9f-0c1d-4800-94fe-2592057be626 · outbound

This paper cites An introduction to the kalman filter,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention An introduction to the kalman filter,

Reference 23

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Source-reported events for the cited work

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Observation 2738fffb-83a2-415d-8c10-18cd9d2edb88 · outbound

This paper cites Table tennis track detection based on temporal feature multiplexing network,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Table tennis track detection based on temporal feature multiplexing network,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 601d9d19-2c69-403a-bab7-ceb71e98d5e8 · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Faster r-cnn: Towards real- time object detection with region proposal networks,

Reference 25

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Source-reported events for the cited work

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Observation dd7322cb-eb1c-427c-b176-2d0051b48b4f · outbound

This paper cites Contextual transformer networks for visual recognition,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Contextual transformer networks for visual recognition,

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 775f5e95-f935-4b89-b21f-a0f279416b26 · outbound

This paper cites Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5acd038-eee6-45bf-995d-70bd97af7b7b · outbound

This paper cites Dynamic routing between capsules,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Dynamic routing between capsules,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a9fc10cb-6c28-4d58-9008-8d1a6d476531 · outbound

This paper cites Tracknetv3: Enhancing shuttlecock track- ing with augmentations and trajectory rectification,.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Tracknetv3: Enhancing shuttlecock track- ing with augmentations and trajectory rectification,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T21:05:26.190108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.