Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:36.392714Z
Paper Citation Record · LEDGER
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
As of 23 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2506.06349.
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 2026-08-22T06:32:14.747728+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
10 of 10 outbound references displayed
- verified exact3
- verified fuzzy3
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cc668cc5-295c-4b6c-b8c3-3603d9c1b2b1 · outbound
This paper cites Arrhythmia classification on ECG using Deep Learning,.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning Arrhythmia classification on ECG using Deep Learning,
Reference 1
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T11:49:37.407160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 90bbd0d7-9c35-4aef-b4e0-4338e1f5e177 · outbound
This paper cites Classification of arrhythmia by using deep learning with 2-D ECG signal image representation.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning Classification of arrhythmia by using deep learning with 2-D ECG signal image representation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:49:38.180952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5d62bf9c-2f33-43c1-8271-ea36559f46af · outbound
This paper cites A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features,.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features,
Reference 3
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T11:49:37.143350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 92942a42-da75-41d5-92b1-8e1b0933e233 · outbound
This paper cites an unresolved cited work.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning Unresolved cited work
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-07T11:49:36.807343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c747e9a8-4517-4628-b2da-39023d6de25c · outbound
This paper cites Moreno-Camacho, Jairo R.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning Moreno-Camacho, Jairo R
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-07T11:49:36.665948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f043f4c4-0bed-40b2-95d3-f46e824f6884 · outbound
This paper cites ECG heartbeat classification using multimodal fusion.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning ECG heartbeat classification using multimodal fusion
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:49:37.869711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ed871dc5-5c5c-46cf-b59b-17672d611212 · outbound
This paper cites An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsurpassed Feature Extraction Technique.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsurpassed Feature Extraction Technique
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-07T11:49:36.526189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a50360b8-0fed-4000-9d48-15d5e8fc126c · outbound
This paper cites A Fast and Accurate Method for ECG-Based Heartbeat Classification Using Neural Networks.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning A Fast and Accurate Method for ECG-Based Heartbeat Classification Using Neural Networks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:49:36.279483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27786ed4-865b-4bb0-a098-7ab22ac915e0 · outbound
This paper cites Imaging Time-Series to Improve Classification and Imputation.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning Imaging Time-Series to Improve Classification and Imputation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:49:36.324848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8db9c60f-1915-482c-8deb-edca0b949b0b · outbound
This paper cites sa W^y^410ƺD.
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning sa W^y^410ƺD
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:49:37.673881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.