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Paper Citation Record · LEDGER

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2412.05583.

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

pith.paper-citation-record.v1
2412.05583 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:36:55.728006Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:09:23.811880Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T17:09:25.931021Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact12
  • verified fuzzy2
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbc247d5-bb01-426c-b53c-9e93e1ee69ac · outbound

This paper cites Arrhythmia Detection - A Machine Learning based Comparative Analysis with MIT -BIH ECG Data,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Arrhythmia Detection - A Machine Learning based Comparative Analysis with MIT -BIH ECG Data,

Reference 1

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no resolver link, observed 2026-08-11T20:36:55.393619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.393619Z digest=sha256:f0e1ce85c0a1d9578e3543bed37be1de3858401b2f71aa43350ad986948da4cc

Observation cd419001-efc2-4a05-8a1a-bb61f908b0a0 · outbound

This paper cites Computational Diagnostic Techniques for Electrocardiogram Signal Analysis,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Computational Diagnostic Techniques for Electrocardiogram Signal Analysis,

Reference 2

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verified exact
doi, observed 2026-08-11T20:36:56.707262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.413520Z digest=sha256:5794810587b920f5e5f4f8777b50717c5a8dffdeeae849b7f6286078cfd9c667

Observation 034a6917-8c66-4319-82bf-fcb06842a94a · outbound

This paper cites Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015,

Reference 3

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doi, observed 2026-08-11T20:36:56.620557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.442753Z digest=sha256:0f6a86f3e34a470d5d2095daebf051009634e46519f236c2ddf7d18b4195ff55

Observation 4c0c5b7a-f7bd-4ca4-a406-7bf5ed6105d3 · outbound

This paper cites Automated Identication of Atrial Fibrillation from Single-lead ECGs Using Multi-branching ResNet.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Automated Identication of Atrial Fibrillation from Single-lead ECGs Using Multi-branching ResNet

Reference 4

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local_arxiv, observed 2026-08-11T20:36:57.743477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.459671Z digest=sha256:1c6169412eaa85d8507a5ca538ec4591a3d8448292e406b4f0b82a07327bccec

Observation 96087a11-0996-44e5-9b34-15c7fa2ac068 · outbound

This paper cites Physiology of cardiac pumping,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Physiology of cardiac pumping,

Reference 5

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malformed identifier
no resolver link, observed 2026-08-11T20:36:55.493038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.493038Z digest=sha256:0775f213fe0c92a33371796b88e112d60b313613f751a35916912683fc9efd5e

Observation ecdc068f-dc3b-46eb-b065-98d3432bde3c · outbound

This paper cites Atrial Fibrillation,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Atrial Fibrillation,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T20:36:57.976444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.500921Z digest=sha256:504a346485a723d930a3ac2c3c18d74e3800f12e3ad0095d2b751a9b994e87d5

Observation 2b8c0ba3-23c5-46c1-86ee-eb69533621c8 · outbound

This paper cites Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks,

Reference 7

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doi, observed 2026-08-11T20:36:56.525011Z

Source-reported events for the cited work

retraction dated 2023-08-02. Source: crossref record 10.1155/2023/9845250->10.1155/2022/1094830:retraction, observed 2026-07-11T02:51:59.382899+00:00. This notice travels one citation hop only.

retraction . Source: retraction watch record 48213, observed 2026-07-08T21:54:14.146189+00:00. This notice travels one citation hop only.

source=pdf_text observed=2026-08-11T20:36:55.525412Z digest=sha256:36c984de4dbd2093eb26f90dc071abe151861cd8ac4e6b29a8c6f691d10fdb07

Observation e9bb803b-4ab5-4711-b87d-581e4bb998ec · outbound

This paper cites Time and Frequency Exploration of ECG Signal,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Time and Frequency Exploration of ECG Signal,

Reference 8

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verified exact
doi, observed 2026-08-11T20:36:56.441666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.541400Z digest=sha256:1bcf67cec960fbdd6aba6ba386aadad19788521bcd7648d0e798a12f81c2fd52

Observation b72d6bca-6964-4eff-bfe3-5076c804f60f · outbound

This paper cites ECG signal feature extraction trends in methods and applications,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms ECG signal feature extraction trends in methods and applications,

Reference 9

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no resolver link, observed 2026-08-11T20:36:55.562440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.562440Z digest=sha256:e9af7d874055711a280b21b036811e9fe7347660c6ed5e5b6c9ec9596b1f6c25

Observation be3985a9-a4bc-459d-b30e-998931774626 · outbound

This paper cites Advanced Time-Frequency Methods for ECG Waves Recognition,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Advanced Time-Frequency Methods for ECG Waves Recognition,

Reference 10

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verified exact
doi, observed 2026-08-11T20:36:56.343051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.576328Z digest=sha256:7fc8fd9302ae263623e47e5228e5ae8c13258cb87b56df2bebe4dcca5554454b

Observation 9e245ce5-9e8a-4ac2-b4f8-63fc62a38742 · outbound

This paper cites A review on deep learning methods for ECG arrhythmia classification,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms A review on deep learning methods for ECG arrhythmia classification,

Reference 11

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unresolved
no resolver link, observed 2026-08-11T20:36:55.599483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.599483Z digest=sha256:618682394b8fb9c0ae614b5fd6aaa244c73f7073cf8c63fe5d92052e9df19e4e

Observation 27abb6b8-afe8-4bf5-b252-8cf2f7315198 · outbound

This paper cites Saadatnejad, M.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Saadatnejad, M

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T20:36:57.926688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.605456Z digest=sha256:8a9172705d223bc1ff52c0ab3217afab9214982c3a8329bb093fbce18490fddb

Observation d4ceaf30-5f61-4d5b-940e-45abe6a91eac · outbound

This paper cites IoT Based System for Heart Monitoring and Arrhythmia Detection Using Machine Learning,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms IoT Based System for Heart Monitoring and Arrhythmia Detection Using Machine Learning,

Reference 13

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verified exact
doi, observed 2026-08-11T20:36:56.261934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.612290Z digest=sha256:dcbcf684be486a2766c1d668fbc41861b6aa5a7a1a38b5e03604c517b157f153

Observation 6f2a94b4-8e4b-4ced-9aec-f8519adc14c2 · outbound

This paper cites Analysis of ECG -based arrhythmia detection system using machine learning,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Analysis of ECG -based arrhythmia detection system using machine learning,

Reference 14

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no resolver link, observed 2026-08-11T20:36:55.622393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.622393Z digest=sha256:d362c01f9e103449503ecb6df9d5b396f82613a3294d16028180b51a16a8b0fa

Observation ba7d39b4-e1d4-4095-9e35-b4a185c61248 · outbound

This paper cites A lightweight hybrid CNN-LSTM model for ECG-based arrhythmia detection.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms A lightweight hybrid CNN-LSTM model for ECG-based arrhythmia detection

Reference 15

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verified exact
local_arxiv, observed 2026-08-11T20:36:57.221806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.648724Z digest=sha256:37869aa331f634eb37c2943669f53278f46e5be6387627f208bdc77a3ef6f2cb

Observation 3541ef59-2014-4d97-b7a1-e143753696ad · outbound

This paper cites AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017,

Reference 16

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no resolver link, observed 2026-08-11T20:36:55.658307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.658307Z digest=sha256:57b4b73c6e10a41bf6f9e9617d111c1c4ec62d1f231e5e868940f215fbebff92

Observation 832125b8-787f-4509-917a-9710dcd6a9e7 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.,

Reference 17

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no resolver link, observed 2026-08-11T20:36:55.666501Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.666501Z digest=sha256:4515b701cc788cff520cba7b9598df760313c47035d71537639d295c29a3709b

Observation 47ea9b59-9230-43b9-882c-e21a08f87e5f · outbound

This paper cites The impact of the MIT-BIH arrhythmia database,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms The impact of the MIT-BIH arrhythmia database,

Reference 18

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unresolved
no resolver link, observed 2026-08-11T20:36:55.697232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.697232Z digest=sha256:d95dc8f891e173d6af47d723e8885676f5ccf82ab681a6a235f5b066db82329a

Observation 377a98b3-2187-41b1-b390-374b32fc4191 · outbound

This paper cites Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (2019, O’reilly),.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (2019, O’reilly),

Reference 19

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verified exact
raw_fallback, observed 2026-08-11T20:36:57.129677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.703912Z digest=sha256:29cd0045830d6ab411d79a0bd04944830ebff279f554633de5c940183d3bfd55

Observation da877a61-1ac9-4c2c-a1f4-3629e2e0ae6e · outbound

This paper cites A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross- Validation in Imbalanced Learning,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross- Validation in Imbalanced Learning,

Reference 20

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verified exact
doi, observed 2026-08-11T20:36:55.977806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.709657Z digest=sha256:3f6d78a28ef6eece2107d2044f1d8b10b01cdf30c642df9e423262fd38983428

Observation 06384bc5-b09b-4f13-86a2-897f354dd486 · outbound

This paper cites Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models,

Reference 21

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unresolved
no resolver link, observed 2026-08-11T20:36:55.716622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:36:55.716622Z digest=sha256:d38a3b485c2a9e2bd07b8be4c36b1ed11f31a58bea2d03ab34160a5cac030154

Observation f65abee8-0563-415a-83ee-d9ef832dae54 · outbound

This paper cites QRS Wave Detection In Matlab Using Wavelet Transform,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms QRS Wave Detection In Matlab Using Wavelet Transform,

Reference 22

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verified exact
doi, observed 2026-08-11T20:36:55.935304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.722310Z digest=sha256:2de310b6b6daf12d62628428aa30ff96878356ca92f9bb87a71297eded1a6df1

Observation 7d729423-ea41-4e45-85e5-09ec3cd94141 · outbound

This paper cites A Resampling Method for Imbalanced Datasets Considering Noise and Overlap,.

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms A Resampling Method for Imbalanced Datasets Considering Noise and Overlap,

Reference 23

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verified exact
doi, observed 2026-08-11T20:36:55.861658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:36:55.728006Z digest=sha256:b927734635e67b7063a52040b5513a0881990f29c71dba4f9a0ee4165e43204f

Pith citing papers

Observation c199f9fa-e9ce-4576-ba96-f1aea04a8e10 · inbound

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise cites this paper.

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms

Reference 24

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verified exact
local_arxiv, observed 2026-08-06T17:09:26.019892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T17:09:23.811880Z digest=sha256:9d426f8e39433d84d9df6597e25da0b4d7924dd157d5ccd24a2fb950a41e8249