Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T03:23:12.696703Z
Paper Citation Record · LEDGER
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal
As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2604.24428.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact5
- verified fuzzy16
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e31a3593-8589-43f2-a61f-b8913a187ec0 · outbound
This paper cites Recent applications of eeg-based brain-computer-interface in the medical field.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Recent applications of eeg-based brain-computer-interface in the medical field
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.338374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aa2c8c23-3aa5-40ad-be74-3efb5ee70c48 · outbound
This paper cites Identification and removal of physiological artifacts from electroencephalogram signals: A review.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Identification and removal of physiological artifacts from electroencephalogram signals: A review
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.367782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42475d90-299f-4bfc-ad19-c339bc8664fb · outbound
This paper cites Ocular reduction in eeg signals based on adaptive filtering, regression and blind source separation.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Ocular reduction in eeg signals based on adaptive filtering, regression and blind source separation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.319979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 79c2c0f2-a8bf-48f0-9a7a-9273f17bf846 · outbound
This paper cites Online artifact removal for brain- computer interfaces using support vector machines and blind source separation.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Online artifact removal for brain- computer interfaces using support vector machines and blind source separation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.329499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 49eb2cd6-1d4b-4ff5-89f2-a0e6b5903c54 · outbound
This paper cites Electromyogram (emg) removal by adding sources of emg (erase)—a novel ica-based algorithm for removing myoelectric artifacts from eeg.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Electromyogram (emg) removal by adding sources of emg (erase)—a novel ica-based algorithm for removing myoelectric artifacts from eeg
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.301309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c3822c14-974c-43cd-956d-604fa576db40 · outbound
This paper cites Eeg artifact re- moval system for depression using a hybrid denoising approach.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Eeg artifact re- moval system for depression using a hybrid denoising approach
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.351440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation da1fac0a-3619-4ede-94be-9f8790bec06b · outbound
This paper cites Single-channel eeg signal extraction based on dwt, ceemdan, and ica method.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Single-channel eeg signal extraction based on dwt, ceemdan, and ica method
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.347173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation abf95169-ee1f-46da-aac1-df6c7e8f53aa · outbound
This paper cites Zhang et al.,Eegdenoisenet: A benchmark dataset for end-to-end deep learning solutions of eeg denoising.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Zhang et al.,Eegdenoisenet: A benchmark dataset for end-to-end deep learning solutions of eeg denoising
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.315180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6e56a6fd-d2c4-4cc9-8b81-d8990d7ae895 · outbound
This paper cites EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:26:19.810105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f74f42d-be90-455a-9f5e-20f038d9c883 · outbound
This paper cites Eegdnet: Fusing non-local and local self-similarity for eeg signal denoising with trans- former.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Eegdnet: Fusing non-local and local self-similarity for eeg signal denoising with trans- former
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.342818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 915c14b2-4ee6-4ef3-b94f-2158b61f0d23 · outbound
This paper cites Embedding decomposition for artifacts removal in eeg signals.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Embedding decomposition for artifacts removal in eeg signals
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.324838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 02790e09-a38b-44ff-ad87-1bc91c11aebd · outbound
This paper cites Lrr-unet: A deep unfolding network with low-rank recovery for eeg signal denoising.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Lrr-unet: A deep unfolding network with low-rank recovery for eeg signal denoising
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.363981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed150d6e-d326-458f-8a8a-67e1dfcaab07 · outbound
This paper cites Denoising eeg signals for real- world bci applications using gans.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Denoising eeg signals for real- world bci applications using gans
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:26:18.453117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 79842654-2a82-483c-8947-d1f1d744bdcd · outbound
This paper cites EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:26:19.816295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37312cef-17bc-4563-ba42-4872a4af7fcd · outbound
This paper cites Removal of ocular artifact from the eeg: A review.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Removal of ocular artifact from the eeg: A review
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.333929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1b489461-3f5d-4e87-ba73-04f446a7cb6d · outbound
This paper cites Emg contamination of eeg: Spectral and topographical characteristics.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Emg contamination of eeg: Spectral and topographical characteristics
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.310628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ebc61949-d373-4a27-8e14-84cb12352f7b · outbound
This paper cites A comprehensive review of deep learning models for denoising eeg signals: Challenges, advances, and future directions.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal A comprehensive review of deep learning models for denoising eeg signals: Challenges, advances, and future directions
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.305973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8e71961a-9bf7-4f00-8d09-e7361bd90c5e · outbound
This paper cites Film: Visual reasoning with a general conditioning layer.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Film: Visual reasoning with a general conditioning layer
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.360277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 01a1099e-be6e-45ae-be20-9408e9406610 · outbound
This paper cites Attention Is All You Need.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Attention Is All You Need
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T03:26:19.813135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f725e6c6-2a62-4d7a-8179-415dfa4728e2 · outbound
This paper cites A novel end-to-end 1d-rescnn model to remove artifact from eeg signals.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal A novel end-to-end 1d-rescnn model to remove artifact from eeg signals
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T20:01:48.356017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 22c12a17-9564-4661-bfa8-b59324059f8f · outbound
This paper cites Decoupled Weight Decay Regularization.
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Decoupled Weight Decay Regularization
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T03:26:19.806583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.