Paper Citation Record · LEDGER

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification

As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.09680.

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

pith.paper-citation-record.v1
2607.09680 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:56:27.657826Z

measured 27 of 27 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

27 of 27 outbound references displayed

verified exact1
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aea489a-b7d4-4902-b8bb-d9415c4f1c01 · outbound

This paper cites Global, regional, and national burden of cardiovascular diseases and risk factors in 204 countries and territories, 1990-2023,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Global, regional, and national burden of cardiovascular diseases and risk factors in 204 countries and territories, 1990-2023,

Reference 1

Resolution: verified exact; doi, observed 2026-07-14T18:00:40.164667Z

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 c243638d-1fc7-4379-ae98-d0725adb61b8 · outbound

This paper cites Spec: A system for patient specific ecg beat classification using deep residual network,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Spec: A system for patient specific ecg beat classification using deep residual network,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d84472-d6f9-49e6-aed7-54c250d3db77 · outbound

This paper cites Cat-net: Convolution, attention, and transformer based network for single- lead ecg arrhythmia classification,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Cat-net: Convolution, attention, and transformer based network for single- lead ecg arrhythmia classification,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719e1ee3-4d63-4470-9035-08d77ab53799 · outbound

This paper cites The impact of the mit-bih arrhythmia database,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification The impact of the mit-bih arrhythmia database,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da02a05-9b3f-41c6-9df2-2d50041ad60d · outbound

This paper cites A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30192733-69cd-4691-8627-467535d8f744 · outbound

This paper cites Aha/accf/hrs recommendations for the standardization and interpretation of the electrocardiogram,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Aha/accf/hrs recommendations for the standardization and interpretation of the electrocardiogram,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e4126cb-2514-42b9-9d83-7b4913bc801f · outbound

This paper cites Available: https://www.ahajournals.org/doi/abs/10.1161/ CIRCULATIONAHA.108.191095.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Available: https://www.ahajournals.org/doi/abs/10.1161/ CIRCULATIONAHA.108.191095

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 174704d2-bcb2-48a6-9fc9-cae4a81b7b4d · outbound

This paper cites Sinus bradycardia,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Sinus bradycardia,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acaaba9-b396-4bde-9f04-276325358c18 · outbound

This paper cites an unresolved cited work.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51369a0c-bb68-4fb3-b4e6-41450b92d10f · outbound

This paper cites A real-time qrs detection algorithm,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification A real-time qrs detection algorithm,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe323a8-4e03-4390-a4d5-507aa0bb4838 · outbound

This paper cites Dense neural network based arrhythmia classification on low-cost and low-compute micro-controller,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Dense neural network based arrhythmia classification on low-cost and low-compute micro-controller,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd5b527-6fc8-4d33-9a7b-92930b061399 · outbound

This paper cites Towards vector optimization on low-dimensional vector symbolic architecture,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Towards vector optimization on low-dimensional vector symbolic architecture,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation febf7108-5999-43d8-a8f7-14d14c0ee34e · outbound

This paper cites Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641994ab-17f6-41ef-a7da-01d5136efda3 · outbound

This paper cites Interpretation of electrocardiogram (ecg) rhythm by combined cnn and bilstm,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Interpretation of electrocardiogram (ecg) rhythm by combined cnn and bilstm,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6672974-41a8-44eb-9b97-1aae053bc1fe · outbound

This paper cites An adaptive cognitive sensor node for ecg monitoring in the internet of medical things,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification An adaptive cognitive sensor node for ecg monitoring in the internet of medical things,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc65787c-0842-4ea3-98c7-8bade45ac4a5 · outbound

This paper cites Arrhythmia classifier using binarized convolutional neural network for resource- constrained devices,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Arrhythmia classifier using binarized convolutional neural network for resource- constrained devices,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566e25bd-bec3-4d46-8924-23e977282ad2 · outbound

This paper cites Classifying cardiac arrhythmia from ecg signal using 1d cnn deep learning model,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Classifying cardiac arrhythmia from ecg signal using 1d cnn deep learning model,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a7769f-704e-4f9e-90fb-28571c5cbc7c · outbound

This paper cites Arrhythmia classifier based on ultra-lightweight binary neural network,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Arrhythmia classifier based on ultra-lightweight binary neural network,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a4aad44-b20a-40fe-94e6-ddde43b8e1d1 · outbound

This paper cites Fusiongcnn: An iot-based novel spatiotemporal graph convolutional network for ecg arrhythmia detection,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Fusiongcnn: An iot-based novel spatiotemporal graph convolutional network for ecg arrhythmia detection,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341e618e-91cb-4f0b-86e1-2bedc19f70cc · outbound

This paper cites A tiny transformer for low-power arrhythmia classification on micro- controllers,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification A tiny transformer for low-power arrhythmia classification on micro- controllers,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f7c029-8afe-4456-b43b-4004be4c9d21 · outbound

This paper cites Multi-feature fusion and com- pressed bi-lstm for memory-efficient heartbeat classification on wearable devices,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Multi-feature fusion and com- pressed bi-lstm for memory-efficient heartbeat classification on wearable devices,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 277d5635-0ce4-4b24-8809-78f1fa194d30 · outbound

This paper cites Fpga-based system for artificial neural network arrhythmia classification,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Fpga-based system for artificial neural network arrhythmia classification,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc0a19d-c4a8-453f-b750-387e422c0b7c · outbound

This paper cites A computational architecture for inference of a quantized-cnn for detecting atrial fibrillation,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification A computational architecture for inference of a quantized-cnn for detecting atrial fibrillation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea89e885-08a4-4a4c-bee3-16d4e1b85ee4 · outbound

This paper cites An atrial fibrillation detection system based on machine learning algorithm with mix-domain features and hardware acceleration,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification An atrial fibrillation detection system based on machine learning algorithm with mix-domain features and hardware acceleration,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92df2cbf-7e16-4a4a-981e-bf20c0f84ced · outbound

This paper cites Hardware implementation of 1d- cnn architecture for ecg arrhythmia classification,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Hardware implementation of 1d- cnn architecture for ecg arrhythmia classification,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ebb2e4-77aa-4a28-bd45-293f96f2f5ca · outbound

This paper cites Fpga-based 1d-cnn accelerator for real-time arrhythmia classification,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Fpga-based 1d-cnn accelerator for real-time arrhythmia classification,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c771043-4566-458c-b08c-6d7a112ae55a · outbound

This paper cites Fast and low cost fpga-based architecture for arrhythmia detection with cnn,.

ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification Fast and low cost fpga-based architecture for arrhythmia detection with cnn,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T17:56:27.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.