Paper Citation Record · LEDGER

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.07850.

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

pith.paper-citation-record.v1
2607.07850 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T16:46:30.376216Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

25 of 25 outbound references displayed

verified exact2
verified fuzzy22
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26b9bd9f-d8a8-49c9-ab3b-86d0c92f4a1d · outbound

This paper cites Online electromyo- graphic control of a robotic prosthesis,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Online electromyo- graphic control of a robotic prosthesis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.489625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45dd601f-535d-4c4a-a316-177e74536988 · outbound

This paper cites Bionic prosthetic hands: A review of present technology and future aspirations,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Bionic prosthetic hands: A review of present technology and future aspirations,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.510435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1cbe2788-bd3d-40eb-b1fb-d777522a35e0 · outbound

This paper cites A super- vised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals A super- vised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.479415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6df157c-02fb-4b51-bc67-4090e359bcc9 · outbound

This paper cites Towards the control of individual fingers of a prosthetic hand using surface EMG signals,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Towards the control of individual fingers of a prosthetic hand using surface EMG signals,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.507025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8c0c818-7f9b-455b-893e-d8932cef923f · outbound

This paper cites Pattern recognition of number gestures based on a wireless surface EMG system,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Pattern recognition of number gestures based on a wireless surface EMG system,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.497087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 961959bd-abe5-4a69-847c-36b448d7fb91 · outbound

This paper cites EMG acquisition and hand pose classification for bionic hands from randomly-placed sensors,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals EMG acquisition and hand pose classification for bionic hands from randomly-placed sensors,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.502709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 640fcf7f-de2a-4d2b-93bb-ef446214119f · outbound

This paper cites Real-time hand gesture recognition using temporal muscle activation maps of multi-channel sEMG signals,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Real-time hand gesture recognition using temporal muscle activation maps of multi-channel sEMG signals,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.519135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 591f9652-520b-477d-a771-9df9ddf5498b · outbound

This paper cites Evaluation of EMG feature extraction for hand movement recogni- tion based on euclidean distance and standard deviation,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Evaluation of EMG feature extraction for hand movement recogni- tion based on euclidean distance and standard deviation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.502505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a546cbe-fd7f-4381-a505-2da00206067f · outbound

This paper cites Electromyogram (EMG) feature reduction using mutual components analysis for multifunction prosthetic fingers control,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Electromyogram (EMG) feature reduction using mutual components analysis for multifunction prosthetic fingers control,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.506585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7873ba5e-552a-4aec-821a-f591462dbdac · outbound

This paper cites Real-time hand motion recognition using sEMG patterns classification,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Real-time hand motion recognition using sEMG patterns classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.515300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de0f131a-e9ba-48b8-8cfd-78bba6c5d984 · outbound

This paper cites A myoelectric prosthetic hand with mus- cle synergy–based motion determination and impedance model–based biomimetic control,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals A myoelectric prosthetic hand with mus- cle synergy–based motion determination and impedance model–based biomimetic control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.516140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e712a357-3e59-4c99-af3f-936213b1822e · outbound

This paper cites EMG wrist-hand motion recognition system for real-time embedded platform,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals EMG wrist-hand motion recognition system for real-time embedded platform,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.511146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f4409bad-15f2-4e5d-9d0a-39e8cea154f1 · outbound

This paper cites Classification of combined motions in human joints through learning of individual motions based on muscle synergy theory,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Classification of combined motions in human joints through learning of individual motions based on muscle synergy theory,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.521325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e3f87ad-5b34-41ab-970f-188611cd2e87 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:47:24.359628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11d0e3eb-3d4b-41de-b09e-68905987f13f · outbound

This paper cites Shortest-path kernels on graphs,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Shortest-path kernels on graphs,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.517085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d101f88e-dab3-42cb-a73d-81eb57dabba4 · outbound

This paper cites Efficient graphlet kernels for large graph comparison.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Efficient graphlet kernels for large graph comparison

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.481716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4bfe9f02-37ab-4b11-9703-8865c6557c85 · outbound

This paper cites Graph kernels,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Graph kernels,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.500192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1e5356f-02bb-4f1a-8d69-febf88484096 · outbound

This paper cites Weisfeiler-lehman graph kernels.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Weisfeiler-lehman graph kernels

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.509025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 489479a3-269d-4b41-b010-6f22665a553b · outbound

This paper cites Efficient graph kernels by randomization,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Efficient graph kernels by randomization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.514323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 170a5709-0104-4579-b97b-43e36d31f35c · outbound

This paper cites Deep graph kernels.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Deep graph kernels

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.495914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a970873d-1f29-4f29-9784-9b29fdf6107a · outbound

This paper cites A deep graph convolutional neural network architecture for graph classification,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals A deep graph convolutional neural network architecture for graph classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.491609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3871492-5391-487d-8797-642bb9a1a2fb · outbound

This paper cites 3D skeleton-based video action recognition by graph convolution network,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals 3D skeleton-based video action recognition by graph convolution network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.483326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bcad0e34-d699-41f2-9b30-96f8facdaff2 · outbound

This paper cites Gesture recognition of graph convolutional neural network based on spatial domain,.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Gesture recognition of graph convolutional neural network based on spatial domain,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T16:47:24.513357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab4ce73b-2e45-4e92-ad78-1730a10632f7 · outbound

This paper cites an unresolved cited work.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-07-10T16:47:24.498826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bf1c3a8-161e-4f98-9371-cc161bf3ccde · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals Relational inductive biases, deep learning, and graph networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:47:24.359455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.