Scaling and Distilling Transformer Models for sEMG | Paper Citation Record

Observation a2d4bf55-a107-4339-97c2-d5e6af45bd59 · outbound

This paper cites u cahid G \.

Scaling and Distilling Transformer Models for sEMG u cahid G \

Reference 1

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Observation 464714fc-78f1-43ee-9e40-e38fa0b7f1be · outbound

This paper cites Advancing muscle-computer interfaces with high-density electromyography.

Scaling and Distilling Transformer Models for sEMG Advancing muscle-computer interfaces with high-density electromyography

Reference 2

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Observation baec9710-536e-4d12-a5ce-3ee0ba0984ac · outbound

This paper cites Electromyography data for non-invasive naturally-controlled robotic hand prostheses.

Scaling and Distilling Transformer Models for sEMG Electromyography data for non-invasive naturally-controlled robotic hand prostheses

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:59.048374Z

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Observation 6df3e882-9690-4f6d-8ea7-44a6fd00e34a · outbound

This paper cites Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands.

Scaling and Distilling Transformer Models for sEMG Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:28:58.500549Z

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Observation 20497d7a-812e-4e1b-bee6-4a12a974dccd · outbound

This paper cites Benalcazar, Lorena Barona, Leonardo Valdivieso, Xavier Aguas, and Jonathan Zea.

Scaling and Distilling Transformer Models for sEMG Benalcazar, Lorena Barona, Leonardo Valdivieso, Xavier Aguas, and Jonathan Zea

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.896770Z

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Observation e06756c4-65e2-4d17-a66f-0e613199384d · outbound

This paper cites Deep learning for processing electromyographic signals: A taxonomy-based survey.

Scaling and Distilling Transformer Models for sEMG Deep learning for processing electromyographic signals: A taxonomy-based survey

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.836291Z

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Observation ec4ebda8-11de-4628-9c74-37490ad0b10a · outbound

This paper cites Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram.

Scaling and Distilling Transformer Models for sEMG Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:59.029829Z

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Observation 6d1e8623-d5a8-48bd-90ec-da17902cca21 · outbound

This paper cites Cross-layer distillation with semantic calibration.

Scaling and Distilling Transformer Models for sEMG Cross-layer distillation with semantic calibration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:59.011653Z

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Observation 54debb19-2f2b-4d5d-9473-03d5ef47daef · outbound

This paper cites Continuous motion finger joint angle estimation utilizing hybrid semg-fmg modality driven transformer-based deep learning model.

Scaling and Distilling Transformer Models for sEMG Continuous motion finger joint angle estimation utilizing hybrid semg-fmg modality driven transformer-based deep learning model

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:58.403577Z

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Observation a6ae30fd-9f8a-48c0-9a8d-7b2b03ad0cd8 · outbound

This paper cites Chowdhury, Mamun Bin Ibne Reaz, Md.

Scaling and Distilling Transformer Models for sEMG Chowdhury, Mamun Bin Ibne Reaz, Md

Reference 10

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Observation 12a5c62a-beae-4f0f-9db3-3d1f6ce21f51 · outbound

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Scaling and Distilling Transformer Models for sEMG Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.694478Z

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Observation 8b2a671a-d9a9-4ad4-8a6a-007bd529293b · outbound

This paper cites A generic noninvasive neuromotor interface for human-computer interaction.

Scaling and Distilling Transformer Models for sEMG A generic noninvasive neuromotor interface for human-computer interaction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:52.411131Z

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Observation 5b2cc439-1848-4502-a085-60509ca8f485 · outbound

This paper cites Improved network and training scheme for cross-trial surface electromyography (semg)-based gesture recognition.

Scaling and Distilling Transformer Models for sEMG Improved network and training scheme for cross-trial surface electromyography (semg)-based gesture recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.996504Z

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Observation 307a72b4-feb0-4a94-97ad-0d2a4d00cb80 · outbound

This paper cites Machine learning for detection of muscular activity from surface emg signals.

Scaling and Distilling Transformer Models for sEMG Machine learning for detection of muscular activity from surface emg signals

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.607311Z

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Observation 8fe164ac-9cea-43bf-887e-db9782a47c2c · outbound

This paper cites Big data in myoelectric control: large multi-user models enable robust zero-shot emg-based discrete gesture recognition.

Scaling and Distilling Transformer Models for sEMG Big data in myoelectric control: large multi-user models enable robust zero-shot emg-based discrete gesture recognition

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:58.314453Z

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Observation 80f9f703-d568-4207-a4fc-8c252309b94e · outbound

This paper cites Electromyography signal classification using deep learning.

Scaling and Distilling Transformer Models for sEMG Electromyography signal classification using deep learning

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:28:58.195469Z

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Observation 40718b75-7914-4911-a7dc-4212b7f1ed79 · outbound

This paper cites Godoy, Gustavo J.

Scaling and Distilling Transformer Models for sEMG Godoy, Gustavo J

Reference 17

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Observation ae13edad-fc2e-4474-bf76-120f0cb28387 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

Scaling and Distilling Transformer Models for sEMG Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Reference 18

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Observation 96510a01-169f-4171-a80f-73aba3010a66 · outbound

This paper cites Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions.

Scaling and Distilling Transformer Models for sEMG Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:28:57.928951Z

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Observation addfd280-4e6e-4b92-a479-2363067c2124 · outbound

This paper cites Surface emg pattern recognition using long short-term memory combined with multilayer perceptron.

Scaling and Distilling Transformer Models for sEMG Surface emg pattern recognition using long short-term memory combined with multilayer perceptron

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:57.899449Z

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Observation 5ca97c7f-cf15-4978-a6ee-12ab1a7853d7 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Scaling and Distilling Transformer Models for sEMG Distilling the Knowledge in a Neural Network

Reference 21

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Observation 8437afb2-f299-4efe-8cd4-62b8600752c7 · outbound

This paper cites Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer.

Scaling and Distilling Transformer Models for sEMG Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.979524Z

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Observation bd3559b3-0713-4da9-8117-8c68c4a1c0e5 · outbound

This paper cites Knowledge distilled ensemble model for semg-based silent speech interface.

Scaling and Distilling Transformer Models for sEMG Knowledge distilled ensemble model for semg-based silent speech interface

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.962653Z

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Observation 6d633371-e034-4086-aa8d-4b221556547d · outbound

This paper cites FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning.

Scaling and Distilling Transformer Models for sEMG FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:28:57.800823Z

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Observation f0ec8124-f3ff-4e3d-aac8-dab1994c7a98 · outbound

This paper cites Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future.

Scaling and Distilling Transformer Models for sEMG Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.945625Z

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Observation fba4f5aa-8139-43d1-9e71-c00f2678622c · outbound

This paper cites Integration of convolutional neural network and vision transformer for gesture recognition using semg.

Scaling and Distilling Transformer Models for sEMG Integration of convolutional neural network and vision transformer for gesture recognition using semg

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:57.777083Z

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Observation 3d9e1c55-90f8-48aa-99fc-205f7524ccb0 · outbound

This paper cites Decoupled Weight Decay Regularization.

Scaling and Distilling Transformer Models for sEMG Decoupled Weight Decay Regularization

Reference 27

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Observation 33929a4e-fdd4-45b9-88c9-129673c9f2bd · outbound

This paper cites SGDR : Stochastic gradient descent with warm restarts.

Scaling and Distilling Transformer Models for sEMG SGDR : Stochastic gradient descent with warm restarts

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:54.632029Z

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Observation 6e0d705a-e7b6-4ee3-acb8-154030dbd7e0 · outbound

This paper cites An embedded electromyogram signal acquisition device.

Scaling and Distilling Transformer Models for sEMG An embedded electromyogram signal acquisition device

Reference 29

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.587141Z

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Observation 3dc550ef-1d70-47f8-9d07-42c0c93b5456 · outbound

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Scaling and Distilling Transformer Models for sEMG Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.566783Z

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Observation 695a154b-5d10-484a-a34d-438f837af3bb · outbound

This paper cites Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density emg signals.

Scaling and Distilling Transformer Models for sEMG Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density emg signals

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.918225Z

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Observation 6629841a-2929-4d20-939d-f0b0bdc9abfc · outbound

This paper cites Personal authentication by lips emg using dry electrode and cnn.

Scaling and Distilling Transformer Models for sEMG Personal authentication by lips emg using dry electrode and cnn

Reference 32

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:57.664412Z

Source-reported events for the cited work

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Observation ed5fe264-48c3-4daf-bc20-2d3bc6e22598 · outbound

This paper cites BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms.

Scaling and Distilling Transformer Models for sEMG BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.545699Z

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.

Observation 47a406a1-d2d6-4939-91da-b76260dbe829 · outbound

This paper cites Emg based hand gesture recognition using deep learning.

Scaling and Distilling Transformer Models for sEMG Emg based hand gesture recognition using deep learning

Reference 34

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:28:57.576980Z

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Observation 480da5c3-5868-46bf-b1d6-fb90ed5bab4e · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Scaling and Distilling Transformer Models for sEMG SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:55.409987Z

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Observation 6e31e196-f4d6-466b-8d9c-e6c5cc19bbfc · outbound

This paper cites Relational knowledge distillation.

Scaling and Distilling Transformer Models for sEMG Relational knowledge distillation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.901906Z

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Observation ca779924-98f8-4cfd-9fc1-a73fc59975e5 · outbound

This paper cites DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models.

Scaling and Distilling Transformer Models for sEMG DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:28:57.456995Z

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Observation 6c299f2c-210d-415c-802b-1374024f0e3a · outbound

This paper cites an unresolved cited work.

Scaling and Distilling Transformer Models for sEMG Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:28:58.887321Z

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Observation 99cab14d-5231-4e2e-9332-1d0831900698 · outbound

This paper cites Efficiently scaling transformer inference.

Scaling and Distilling Transformer Models for sEMG Efficiently scaling transformer inference

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.872626Z

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

Observation c5f90212-c13d-437d-b820-18af50138a11 · outbound

This paper cites Estimating finger joint angles by surface emg signal using feature extraction and transformer-based deep learning model.

Scaling and Distilling Transformer Models for sEMG Estimating finger joint angles by surface emg signal using feature extraction and transformer-based deep learning model

Reference 40

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:57.433383Z

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Observation c4edd679-78b7-4c84-8440-91c02a32adc3 · outbound

This paper cites TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition.

Scaling and Distilling Transformer Models for sEMG TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:55.992486Z

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Observation bb1b128a-bc11-4f9d-8233-ee904d12b507 · outbound

This paper cites Enhancing gesture classification using active emg band and advanced feature extraction technique.

Scaling and Distilling Transformer Models for sEMG Enhancing gesture classification using active emg band and advanced feature extraction technique

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.107951Z

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Observation ae53e520-54af-4e07-b988-f775aca809c5 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Scaling and Distilling Transformer Models for sEMG FitNets: Hints for Thin Deep Nets

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.217126Z

Source-reported events for the cited work

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Observation 10ba294d-bb52-450c-bdb2-b0be0f10159c · outbound

This paper cites Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces.

Scaling and Distilling Transformer Models for sEMG Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.856336Z

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.

Observation a8b5af06-a0dd-476c-89bb-c5977da50cf4 · outbound

This paper cites Multi-speaker speech synthesis from electromyographic signals by soft speech unit prediction.

Scaling and Distilling Transformer Models for sEMG Multi-speaker speech synthesis from electromyographic signals by soft speech unit prediction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.838081Z

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

Observation df222587-a596-4f16-9829-02dffc8e538c · outbound

This paper cites wav2vec: Unsupervised Pre-training for Speech Recognition.

Scaling and Distilling Transformer Models for sEMG wav2vec: Unsupervised Pre-training for Speech Recognition

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.354336Z

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Observation 3363a0f7-c691-4bf1-8bb6-ac0aae4e20d5 · outbound

This paper cites Multiple kernel learning svm-based emg pattern classification for lower limb control.

Scaling and Distilling Transformer Models for sEMG Multiple kernel learning svm-based emg pattern classification for lower limb control

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.820038Z

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Observation 19003bab-2244-4ea3-b13f-c55e2ba468c7 · outbound

This paper cites Personal authentication and hand motion recognition based on wrist emg analysis by a convolutional neural network.

Scaling and Distilling Transformer Models for sEMG Personal authentication and hand motion recognition based on wrist emg analysis by a convolutional neural network

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.802836Z

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Observation 59fbd1f5-44ba-4cb2-a837-439c059d894e · outbound

This paper cites EMG2QWERTY: A Large Dataset with Baselines for Touch Typing using Surface Electromyography.

Scaling and Distilling Transformer Models for sEMG EMG2QWERTY: A Large Dataset with Baselines for Touch Typing using Surface Electromyography

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.783082Z

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.

Observation 625a2f17-251f-4a16-b260-b8f5877e6d1a · outbound

This paper cites Understanding and Improving Knowledge Distillation.

Scaling and Distilling Transformer Models for sEMG Understanding and Improving Knowledge Distillation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.374128Z

Source-reported events for the cited work

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Observation 6a61d295-374d-429a-97e2-549c2462f64f · outbound

This paper cites Similarity-preserving knowledge distillation.

Scaling and Distilling Transformer Models for sEMG Similarity-preserving knowledge distillation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.762515Z

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

Observation 1b0d6d2b-48f3-4ca8-bc50-9a544ef1b039 · outbound

This paper cites Attention is all you need.

Scaling and Distilling Transformer Models for sEMG Attention is all you need

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.745989Z

Source-reported events for the cited work

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Observation 21467f55-a826-4f6d-9a61-0996aaa1060a · outbound

This paper cites Deep neural network frontend for continuous emg-based speech recognition.

Scaling and Distilling Transformer Models for sEMG Deep neural network frontend for continuous emg-based speech recognition

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.729238Z

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.

Observation 66a117f3-ceff-4bba-a0b3-2b930ba39959 · outbound

This paper cites Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition.

Scaling and Distilling Transformer Models for sEMG Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:28:57.179768Z

Source-reported events for the cited work

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Observation d4a110d0-fff8-4360-b588-88475bf12961 · outbound

This paper cites Lightweight transformer for semg gesture recognition with feature distilled variational information bottleneck.

Scaling and Distilling Transformer Models for sEMG Lightweight transformer for semg gesture recognition with feature distilled variational information bottleneck

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.710109Z

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

Observation 2f699499-10cd-47c8-9c51-b4c9d39b2dbc · outbound

This paper cites an unresolved cited work.

Scaling and Distilling Transformer Models for sEMG Unresolved cited work

Reference 56

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.524334Z

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Observation ef9a77a3-f723-4b8c-acd6-22d241873980 · outbound

This paper cites Emg-based estimation of limb movement using deep learning with recurrent convolutional neural networks.

Scaling and Distilling Transformer Models for sEMG Emg-based estimation of limb movement using deep learning with recurrent convolutional neural networks

Reference 57

Resolution: verified exact; doi, observed 2026-08-06T12:28:56.507209Z

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.

Observation f6a1fa7c-ddcc-42c6-879b-5af88a09e17e · outbound

This paper cites Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks.

Scaling and Distilling Transformer Models for sEMG Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.418623Z

Source-reported events for the cited work

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Observation 63ef72e9-9fd6-4baa-99d5-850e1004f125 · outbound

This paper cites Emgbench: Benchmarking out-of-distribution generalization and adaptation for electromyography.

Scaling and Distilling Transformer Models for sEMG Emgbench: Benchmarking out-of-distribution generalization and adaptation for electromyography

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.690937Z

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.

Observation a22c3a49-1695-4fd2-b2db-7ba97e091764 · outbound

This paper cites Trahgr: Transformer for hand gesture recognition via electromyography.

Scaling and Distilling Transformer Models for sEMG Trahgr: Transformer for hand gesture recognition via electromyography

Reference 60

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:57.131872Z

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.

Observation ecfd0dfe-045c-426a-a212-25f06007dc14 · outbound

This paper cites Cross modality knowledge distillation between a-mode ultrasound and surface electromyography.

Scaling and Distilling Transformer Models for sEMG Cross modality knowledge distillation between a-mode ultrasound and surface electromyography

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.671089Z

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.

Observation c0bb04e9-1de4-4de3-a274-3a490d39c3f4 · outbound

This paper cites Feasibility analysis of semg recognition via channel-wise transformer.

Scaling and Distilling Transformer Models for sEMG Feasibility analysis of semg recognition via channel-wise transformer

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.654631Z

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.

Observation 2b1a7f3e-0305-4c00-8c65-7c5a0ea5d20d · outbound

This paper cites Movement recognition via channel-activation-wise semg attention.

Scaling and Distilling Transformer Models for sEMG Movement recognition via channel-activation-wise semg attention

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.638045Z

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.

Observation 4db2ac4f-ac0e-4b3a-be77-5726bd43c7fa · outbound

This paper cites Lst-emg-net: Long short-term transformer feature fusion network for semg gesture recognition.

Scaling and Distilling Transformer Models for sEMG Lst-emg-net: Long short-term transformer feature fusion network for semg gesture recognition

Reference 64

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:28:57.014552Z

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.

Observation d6c84c57-4945-49f9-aad1-1ee5fa1c4a99 · outbound

This paper cites Decoupled knowledge distillation.

Scaling and Distilling Transformer Models for sEMG Decoupled knowledge distillation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:28:58.621012Z

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.

Observation 2879425d-9246-45bc-bd9e-e00f97fa095a · outbound

This paper cites write newline.

Scaling and Distilling Transformer Models for sEMG write newline

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:56.459628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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