Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:22:09.614914Z
Paper Citation Record · LEDGER
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.06857.
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 2026-08-16T06:30:59.297886+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
26 of 26 outbound references displayed
- verified exact0
- verified fuzzy26
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 22c44998-bb6b-48df-830e-1f3f4af23024 · outbound
This paper cites Comparing feature-based clas- sifiers and convolutional neural networks to detect arrhyth- mia from short segments of ecg.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Comparing feature-based clas- sifiers and convolutional neural networks to detect arrhyth- mia from short segments of ecg
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:10.062829Z
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 a182bf4f-0843-4902-a809-221686a6ab05 · outbound
This paper cites Af classification from a short sin- gle lead ecg recording: the physionet/computing in cardi- ology challenge.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Af classification from a short sin- gle lead ecg recording: the physionet/computing in cardi- ology challenge
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:10.007395Z
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 44fb551e-14ce-447a-819b-f38be752edab · outbound
This paper cites Real-time ecg monitoring and arrhythmia detection using android-based mobile devices.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Real-time ecg monitoring and arrhythmia detection using android-based mobile devices
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.989218Z
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 b4a31178-31f2-47a2-b903-baf996ed5185 · outbound
This paper cites Combining deep neural networks and engineered fea- tures for cardiac arrhythmia detection from ECG record- ings.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Combining deep neural networks and engineered fea- tures for cardiac arrhythmia detection from ECG record- ings
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.926560Z
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 e859179d-4627-4f00-aa9e-af785e3df806 · outbound
This paper cites Atrial fibrillation detection using feedforward neural networks and automatically extracted signal features.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Atrial fibrillation detection using feedforward neural networks and automatically extracted signal features
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.909710Z
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 2540d079-7286-4e2e-83ed-fa9c81e26e9c · outbound
This paper cites A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardio- grams of variable length.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardio- grams of variable length
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.893699Z
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 3c96f7df-00cc-4d8d-b7c2-402d754b3033 · outbound
This paper cites Accurate, automated detec- tion of atrial fibrillation in ambulatory recordings.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Accurate, automated detec- tion of atrial fibrillation in ambulatory recordings
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.846993Z
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 194eb6b2-2a5b-45f6-aaaf-0e9775df11e5 · outbound
This paper cites Robust greedy deep dictionary learning for ecg arrhythmia classification.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Robust greedy deep dictionary learning for ecg arrhythmia classification
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.831496Z
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 6751ede5-ab99-4df0-9b79-a714e0a3da3a · outbound
This paper cites Beat by beat: Classifying cardiac ar- rhythmias with recurrent neural networks.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Beat by beat: Classifying cardiac ar- rhythmias with recurrent neural networks
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.816416Z
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 1b17c277-8ac7-4dc8-b68b-5aa113eb3da4 · outbound
This paper cites Errors in the computerized electrocardiogram inter- pretation of cardiac rhythm.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Errors in the computerized electrocardiogram inter- pretation of cardiac rhythm
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.801852Z
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 0a149800-4f21-45c9-a4a6-93eb8f06dae7 · outbound
This paper cites Classification of ecg recordings with neu- ral networks based on specific morphological features and regularity of the signal.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Classification of ecg recordings with neu- ral networks based on specific morphological features and regularity of the signal
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.754258Z
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 5e8cc6f5-7193-4897-8a02-45452354b592 · outbound
This paper cites Automatic detection of atrial fibrillation using the coefficient of varia- tion and density histograms of rr andδrr intervals.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Automatic detection of atrial fibrillation using the coefficient of varia- tion and density histograms of rr andδrr intervals
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.737616Z
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 cf67a5e3-745a-4d4f-b97a-00ab6320ceff · outbound
This paper cites A novel method for classification of ecg arrhythmias using deep belief networks.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection A novel method for classification of ecg arrhythmias using deep belief networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.701709Z
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 cc6faf73-7654-4217-80b1-1c0052bdad5c · outbound
This paper cites Robust ecg signal classification for detec- tion of atrial fibrillation using a novel neural network.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Robust ecg signal classification for detec- tion of atrial fibrillation using a novel neural network
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.685696Z
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 f2727335-f958-4e20-80aa-8a987af6c1e8 · outbound
This paper cites Arrhythmia detection and classifi- cation using morphological and dynamic features of ecg signals.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Arrhythmia detection and classifi- cation using morphological and dynamic features of ecg signals
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.669997Z
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 357a0dba-413d-4b1f-b113-5e0a302008e0 · outbound
This paper cites Ensembling convolutional and long short-term memory networks for electrocardio- gram arrhythmia detection.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Ensembling convolutional and long short-term memory networks for electrocardio- gram arrhythmia detection
Reference 2001
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.718309Z
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 9f745403-416c-400c-b2d3-2f8c12b8f60f · outbound
This paper cites Real-time patient-specific ecg classifi- cation by 1-d convolutional neural networks.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Real-time patient-specific ecg classifi- cation by 1-d convolutional neural networks
Reference 2005
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.863071Z
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 8a52efe2-885b-4874-8115-c74a34e882ac · outbound
This paper cites Improving the quality of ecgs collected using mobile phones: The physionet/computing in cardiology challenge.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Improving the quality of ecgs collected using mobile phones: The physionet/computing in cardiology challenge
Reference 2007
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.786128Z
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 7e2008e0-42f8-4fdb-a6e4-be087d9a59a8 · outbound
This paper cites Convolu- tional recurrent neural networks for electrocardiogram classification.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Convolu- tional recurrent neural networks for electrocardiogram classification
Reference 2010
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.653528Z
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 5a96fdd9-67d7-48f0-8ddd-643a64e8b081 · outbound
This paper cites A convolutional neural network for ecg annotation as the basis for classification of cardiac rhythms.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection A convolutional neural network for ecg annotation as the basis for classification of cardiac rhythms
Reference 2011
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.770206Z
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 691ef48a-9a51-45c3-a16f-3fb1910ca180 · outbound
This paper cites Cardiologist-level ar- rhythmia detection and classification in ambulatory elec- trocardiograms using a deep neural network.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Cardiologist-level ar- rhythmia detection and classification in ambulatory elec- trocardiograms using a deep neural network
Reference 2012
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.973643Z
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 7cf36bfb-5a0a-4662-9899-e4e00a1c3bdf · outbound
This paper cites Atrial fibrillation detection using con- volutional neural networks.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Atrial fibrillation detection using con- volutional neural networks
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:10.029125Z
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 24505de4-b25f-4285-8bb1-5076f9511b80 · outbound
This paper cites Encase: An ensemble classifier for ecg classification using expert features and deep neural networks.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Encase: An ensemble classifier for ecg classification using expert features and deep neural networks
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.942465Z
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 a64d7604-18f2-4a10-8468-b0d655d4d422 · outbound
This paper cites Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:10.046504Z
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 0f389bd6-2d7e-414d-8feb-49059df48a0c · outbound
This paper cites Basis and treatment of cardiac arrhythmias , vol- ume.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Basis and treatment of cardiac arrhythmias , vol- ume
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.878716Z
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 b4442391-2405-4ccf-aaf7-d7048c707453 · outbound
This paper cites Deep residual learning for image recogni- tion.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection Deep residual learning for image recogni- tion
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:22:09.958173Z
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.