Paper Citation Record · LEDGER

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.10784.

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

pith.paper-citation-record.v1
2607.10784 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:18:25.640217Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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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.

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Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation bcc232b7-a010-46ff-a66f-912955b01ca9 · outbound

This paper cites Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 53616f77-0e3e-4d85-bb92-c849d6e35002 · outbound

This paper cites Automatic diagnosis of the 12-lead ecg using a deep neural network,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Automatic diagnosis of the 12-lead ecg using a deep neural network,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 039aca2f-eca4-4bd3-a80b-0c7285831745 · outbound

This paper cites A systematic review on the use of consumer-based ecg wearables on cardiac health monitoring,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification A systematic review on the use of consumer-based ecg wearables on cardiac health monitoring,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation bbd8ac28-fdf7-45bc-87ee-abe3ee072821 · outbound

This paper cites Wearable devices for remote monitoring of chronic diseases: Systematic review,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Wearable devices for remote monitoring of chronic diseases: Systematic review,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation c2f42793-f9b9-4db9-ba68-95357c8e08ed · outbound

This paper cites Explainable deep learning based techniques for ecg-based heart disease classification: A systematic literature review and future direction,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Explainable deep learning based techniques for ecg-based heart disease classification: A systematic literature review and future direction,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 2a00064d-7424-4d81-a1ab-9409371c036b · outbound

This paper cites Advanced deep learning framework for ecg arrhythmia classification using 1d-cnn with attention mechanism,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Advanced deep learning framework for ecg arrhythmia classification using 1d-cnn with attention mechanism,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation d96f61ed-a835-4c75-ae07-fbc4f287a84b · outbound

This paper cites Foundation models in electrocardiogram: A review,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Foundation models in electrocardiogram: A review,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 41137091-e0a6-4331-925b-d490691a5774 · outbound

This paper cites High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation c9709b45-64aa-4737-a646-4506c2c2e620 · outbound

This paper cites H-tuning: Toward low-cost and efficient ecg-based cardiovascular disease detection with pre-trained models,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification H-tuning: Toward low-cost and efficient ecg-based cardiovascular disease detection with pre-trained models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation c36c8ea9-2bf5-478e-96a1-cbfd5e840bc0 · outbound

This paper cites Deep learning for ecg classification: A comparative study of 1d and 2d representations and multimodal fusion approaches,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Deep learning for ecg classification: A comparative study of 1d and 2d representations and multimodal fusion approaches,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation e687afa0-3010-4d1e-88b6-269deb646dce · outbound

This paper cites Deep learning for ecg analysis: Benchmarks and insights from ptb-xl,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Deep learning for ecg analysis: Benchmarks and insights from ptb-xl,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation a3d6582b-0fd8-460c-b296-fcbe0312c851 · outbound

This paper cites Ecgtransform: Empowering adaptive ecg arrhythmia classification framework with bidirectional transformer,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Ecgtransform: Empowering adaptive ecg arrhythmia classification framework with bidirectional transformer,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 9279b6b5-f3ed-437c-aca6-bce10a7b369e · outbound

This paper cites Mta- net: A multi-scale temporal-attentive network with semantic-structural fusion for multi-label ecg classification,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Mta- net: A multi-scale temporal-attentive network with semantic-structural fusion for multi-label ecg classification,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation f40ddccc-d750-48b1-b841-3ad389b00df7 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation b3d8b20e-3f6a-4a13-896f-ac0d83325bb8 · outbound

This paper cites Crossstateecg-lite: Lightweight adaptive thresholding network for dual-state ecg biometrics,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Crossstateecg-lite: Lightweight adaptive thresholding network for dual-state ecg biometrics,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 44661765-b332-473f-b8b1-9d1c07e03bbd · outbound

This paper cites Hmt-kd: Lightweight deep learning model for ecg analysis using hierarchical,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Hmt-kd: Lightweight deep learning model for ecg analysis using hierarchical,

Reference 16

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Observation d199a742-1e3f-4190-96f8-0f135ec4b3ef · outbound

This paper cites Ecg-image-kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Ecg-image-kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 478d8d92-a379-4343-af8c-f4baff161a0c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 40eb38d0-ec0c-4ef2-ae27-b80344339bf5 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Distilling the Knowledge in a Neural Network

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation d8bedaab-bd26-4530-ae91-230a3894bbaf · outbound

This paper cites Diredi: Distillation and reverse distillation for aiot applications,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Diredi: Distillation and reverse distillation for aiot applications,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation ce9ed7a9-cb92-4866-85cf-da0d2c43829e · outbound

This paper cites Intrinsic dimension of data representations in deep neural networks,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Intrinsic dimension of data representations in deep neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation b3fb09ed-8af5-4fa9-963b-687fc86f7ca2 · outbound

This paper cites Df- mlsl: An effective distillation framework for multi-label single-lead ecg classification,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Df- mlsl: An effective distillation framework for multi-label single-lead ecg classification,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 066fa315-2b43-4d9e-870a-301b7ccbdb89 · outbound

This paper cites Code-15%: A large scale annotated dataset of 12-lead ecgs,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Code-15%: A large scale annotated dataset of 12-lead ecgs,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 308b6f6b-190f-46f6-8b9e-6dd722d8ad71 · outbound

This paper cites Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 85c710cd-96f3-426a-be3a-bea3a178c86e · outbound

This paper cites Ptb-xl, a large publicly available electro- cardiography dataset,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Ptb-xl, a large publicly available electro- cardiography dataset,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation d20a25a9-e42b-44a2-a367-dbebc30d45ae · outbound

This paper cites A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation 1813de39-a154-491e-b0a4-03690eb11014 · outbound

This paper cites Adagrad-fusion: Adaptive gradient fusion for memory-efficient ecg foundation model fine-tuning,.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification Adagrad-fusion: Adaptive gradient fusion for memory-efficient ecg foundation model fine-tuning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T09:18:25.640217Z

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Observation b81df24f-6009-4cab-87fa-6c901ea4ce6d · outbound

This paper cites CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection

Reference 28

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Observation e2cc778c-2110-4eff-8538-c06ae4e4e454 · outbound

This paper cites An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains.

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 29

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Pith citing papers

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