Paper Citation Record · LEDGER

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.18902.

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

pith.paper-citation-record.v1
2411.18902 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:48:26.733053Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78ed81a2-3afc-41dd-b202-93aff799f735 · outbound

This paper cites A novel interpretation of sample entropy in surface electromyographic examination of complex neuromuscular alternations in subacute and chronic stroke,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network A novel interpretation of sample entropy in surface electromyographic examination of complex neuromuscular alternations in subacute and chronic stroke,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:28.224421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af15d350-4634-4f0a-9e1d-32ac556f8734 · outbound

This paper cites Surveying the interest of individuals with upper limb loss in novel prosthetic control techniques,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Surveying the interest of individuals with upper limb loss in novel prosthetic control techniques,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:28.076551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 132437c7-be4a-432d-8090-71f7ed265cee · outbound

This paper cites Wearable physiological sensors reflect mental stress state in office-like situations,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Wearable physiological sensors reflect mental stress state in office-like situations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:28.026251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1da120b1-c254-46c0-a892-b294e5e2d520 · outbound

This paper cites Clinical utility of measuring inspiratory neural drive during cardiopulmonary exercise testing (cpet),.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Clinical utility of measuring inspiratory neural drive during cardiopulmonary exercise testing (cpet),

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:28.006220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6bd8ab93-14c1-43d5-8c11-51e54a8b68bb · outbound

This paper cites Assessment of respiratory effort during sleep: esophageal pressure versus noninvasive monitoring techniques,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Assessment of respiratory effort during sleep: esophageal pressure versus noninvasive monitoring techniques,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.986780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b81c1a9-db47-46f0-9a9a-a45fd37d6613 · outbound

This paper cites Hand and wrist movement control of myoelectric prosthesis based on synergy,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Hand and wrist movement control of myoelectric prosthesis based on synergy,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.967313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c3de7b9-324a-4604-a8ae-1e20d484e7d8 · outbound

This paper cites A transferable adaptive domain adversarial neural network for virtual reality augmented emg- based gesture recognition,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network A transferable adaptive domain adversarial neural network for virtual reality augmented emg- based gesture recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.890360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f7bc58b-63b7-452b-9186-ad08f0cfaac9 · outbound

This paper cites Interactive virtual ankle movement controlled by wrist semg improves motor imagery: An exploratory study,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Interactive virtual ankle movement controlled by wrist semg improves motor imagery: An exploratory study,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.750049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aa037f1e-f6e7-4608-8970-b3b0fca2d415 · outbound

This paper cites an unresolved cited work.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:48:27.641633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4bfb2bec-4f8b-4a68-a0cc-cc63f2fd08aa · outbound

This paper cites Comparative review of the algorithms for removal of electrocardiographic interference from trunk electromyography,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Comparative review of the algorithms for removal of electrocardiographic interference from trunk electromyography,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.545199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 936946da-ef2d-4bad-9cb1-acf00610c875 · outbound

This paper cites Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.523020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29d4e102-4854-46a3-af42-855a70c1ab90 · outbound

This paper cites Ecg artifact removal from single-channel surface emg using fully convolutional networks,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Ecg artifact removal from single-channel surface emg using fully convolutional networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.500556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17821a33-9a87-470b-800c-0717a841a371 · outbound

This paper cites Sdemg: Score-based diffusion model for surface electromyographic signal de- noising,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Sdemg: Score-based diffusion model for surface electromyographic signal de- noising,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.479820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33380d3c-cdb1-4b89-b43e-107330909d8f · outbound

This paper cites Trustemg- net: Using representation-masking transformer with u-net for surface electromyography enhancement,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Trustemg- net: Using representation-masking transformer with u-net for surface electromyography enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.455707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb615043-feb9-431d-a4d8-c0a6f4e8bf5b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:48:26.166969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f2bc13-11a8-4f92-9ec6-afa4d71f7fc7 · outbound

This paper cites Attention is all you need,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Attention is all you need,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.427219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ece7264b-5556-415b-a84b-b95e1b47e74d · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Jamba: A Hybrid Transformer-Mamba Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:48:26.180118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd51fbf5-b747-4f00-9125-7349da12e406 · outbound

This paper cites An investigation of incorporating mamba for speech enhancement,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network An investigation of incorporating mamba for speech enhancement,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T10:48:26.186966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d82df1-c599-4954-b699-914b680af111 · outbound

This paper cites A template subtraction method for reducing electrocardiographic artifacts in emg signals of low intensity,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network A template subtraction method for reducing electrocardiographic artifacts in emg signals of low intensity,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.404146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69dfbace-d69a-4d2b-89ee-5da9677e9bb9 · outbound

This paper cites SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:48:26.198128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf155eb-d139-4652-94f7-e961940dc7ea · outbound

This paper cites ChiMamba: Predicting Chromatin Interactions Based on Mamba,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network ChiMamba: Predicting Chromatin Interactions Based on Mamba,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:48:26.246075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cb7265-5eed-40eb-b184-1c27ec92456f · outbound

This paper cites MSAMamba: Adapting Subquadratic Sequence Models to Long-Context DNA MSA Analysis,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network MSAMamba: Adapting Subquadratic Sequence Models to Long-Context DNA MSA Analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.325335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43a96a56-07d2-4469-9a8d-bbb3b703f383 · outbound

This paper cites Deepfilter: An ecg baseline wander removal filter using deep learning techniques,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Deepfilter: An ecg baseline wander removal filter using deep learning techniques,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.285191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74ea9e21-2f79-4363-b3d2-2a1157c1f286 · outbound

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

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Electromyography data for non-invasive naturally-controlled robotic hand prostheses,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.193720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 51558c1a-0193-4e09-9e82-44bc01698a80 · outbound

This paper cites Deep learning for surface electromyography artifact contamination type detection,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Deep learning for surface electromyography artifact contamination type detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:27.071365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 129ff286-4036-4447-bda6-367e6e99576f · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:26.981877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 212b6139-06d4-4d92-8616-e38f9ba7abc1 · outbound

This paper cites Noise reduction in ecg signals using fully convolutional denoising autoencoders,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Noise reduction in ecg signals using fully convolutional denoising autoencoders,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:26.962893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83d737b0-6b56-4e0b-87c9-75faeabfe0d2 · outbound

This paper cites Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation,.

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:48:26.944399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.