Paper Citation Record · LEDGER

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2507.14151.

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

pith.paper-citation-record.v1
2507.14151 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:22:22.664824Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:45:50.426049Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:45:51.226465Z

Reference resolution

42 of 42 outbound references displayed

verified exact7
verified fuzzy12
unresolved22
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 121d2ad3-229c-4cc6-9144-fdbe5d783557 · outbound

This paper cites Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:27.221115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e0f1616-a2bc-4d6e-8995-992839d2c3df · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:18.987577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2bcde7-b832-4e38-a1db-c8e801473e1e · outbound

This paper cites Language Models are Few-Shot Learners.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.060778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 070f7dd6-7795-41ef-bbbf-f6c678083fda · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Learning Transferable Visual Models From Natural Language Supervision

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.148990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61780195-02e9-4233-9fb5-b8420d51c583 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.222932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 900ab6b0-c280-4567-b53a-7efcc73b6655 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Hubert: Self-supervised speech representation learning by masked prediction of hidden units

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.262646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0befb845-5747-45eb-bb75-68260d04cae2 · outbound

This paper cites Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:26.991955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfc995f4-3289-417e-a526-36d23003b1bb · outbound

This paper cites Nadkarni.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Nadkarni

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T20:22:23.731654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8836832-2ffe-492d-bc85-5dd58272b966 · outbound

This paper cites Applications of self-supervised learning to biomedical signals: A survey.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Applications of self-supervised learning to biomedical signals: A survey

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T20:22:24.805364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 748b28d2-a0d6-4348-9498-49c9f2b9314e · outbound

This paper cites Foundation models in electrocardiogram: A review, 2024.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Foundation models in electrocardiogram: A review, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.595057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8fa117-ac25-408e-a2f7-05accac03c12 · outbound

This paper cites ECG-FM: An Open Electrocardiogram Foundation Model.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models ECG-FM: An Open Electrocardiogram Foundation Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.654371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 197fa460-3ec8-4f59-bd9a-92e1736734e4 · outbound

This paper cites Large-scale Training of Foundation Models for Wearable Biosignals.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Large-scale Training of Foundation Models for Wearable Biosignals

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.702906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee32901a-9977-4f3e-8144-59bb757e34e7 · outbound

This paper cites Ecg semantic integrator (esi): A foundation ecg model pretrained with llm-enhanced cardiological text, 2024.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Ecg semantic integrator (esi): A foundation ecg model pretrained with llm-enhanced cardiological text, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:26.793043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12094c11-fae8-4850-b240-abfee1983afe · outbound

This paper cites Foundation mod- els for cardiovascular disease detection via biosignals from digital stethoscopes.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Foundation mod- els for cardiovascular disease detection via biosignals from digital stethoscopes

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T20:22:23.555155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af001199-8d83-4dd6-b400-4242d29bd0c3 · outbound

This paper cites Remote and wearable ecg devices with diagnostic abilities in adults: a state-of-the-science scoping review.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Remote and wearable ecg devices with diagnostic abilities in adults: a state-of-the-science scoping review

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:26.657400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 745339a9-d2f5-4717-af21-77b45c0f2cb3 · outbound

This paper cites 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:22:24.449912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72e248de-35fc-40cd-8218-a23a1d8729e2 · outbound

This paper cites Dense lead contrast for self-supervised representation learning of multilead electrocardiograms.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Dense lead contrast for self-supervised representation learning of multilead electrocardiograms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:20.110489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bf97f9-28b4-4b9f-b81d-837c308d2ddd · outbound

This paper cites Lead-agnostic self- supervised learning for local and global representations of electrocardiogram.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Lead-agnostic self- supervised learning for local and global representations of electrocardiogram

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:26.471187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06b40af1-517c-47ac-b2b5-e80bdebb7148 · outbound

This paper cites Clegg, Andrea Cavallaro, and Hamed Haddadi.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Clegg, Andrea Cavallaro, and Hamed Haddadi

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T20:22:23.413180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 517e46fc-830f-48c0-85b5-67cf4aff0161 · outbound

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

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:20.328751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebd6829d-7669-4ff5-b174-44ae459e82fb · outbound

This paper cites Biot: Biosignal transformer for cross-data learning in the wild.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Biot: Biosignal transformer for cross-data learning in the wild

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:26.271296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 67c00434-7d4b-42bd-90bb-099d083d2708 · outbound

This paper cites Will two do? varying dimensions in electrocardiography: The physionet/computing in cardiology challenge 2021.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Will two do? varying dimensions in electrocardiography: The physionet/computing in cardiology challenge 2021

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:26.089348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5858e40e-ba34-4677-9b40-0a30905c97f8 · outbound

This paper cites Issues in the automated classification of multilead ecgs using heterogeneous labels and populations.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Issues in the automated classification of multilead ecgs using heterogeneous labels and populations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:25.932092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b69bdb9a-4d05-4bb7-b3a2-14b5b807bdd1 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models A Simple Framework for Contrastive Learning of Visual Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:20.655345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f675f68c-78a1-4d6c-9ac0-0f585e22b310 · outbound

This paper cites Ribeiro, Manoel Horta Ribeiro, Gabriela M.M.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Ribeiro, Manoel Horta Ribeiro, Gabriela M.M

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:20.741826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a31b130-f8a8-4a90-ac98-d274dd93a762 · outbound

This paper cites Ribeiro, Gabriela M.M.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Ribeiro, Gabriela M.M

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:22:24.241199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47deab23-c0df-4521-9d34-56fe1df55afe · outbound

This paper cites Practical intelligent diagnostic algorithm for wearable 12-lead ecg via self- supervised learning on large-scale dataset.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Practical intelligent diagnostic algorithm for wearable 12-lead ecg via self- supervised learning on large-scale dataset

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:25.746363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dd90054-3da3-4748-bdad-ee40cd384cf4 · outbound

This paper cites URL https://www.scidb.cn/en/ detail?dataSetId=58c4a92d5a01414390a78160d335380d.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models URL https://www.scidb.cn/en/ detail?dataSetId=58c4a92d5a01414390a78160d335380d

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:25.603586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41632596-d2aa-4635-871a-a42b6b8d6ea7 · outbound

This paper cites an unresolved cited work.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:21.159706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92747d24-79c4-4182-93e5-671e778b7d01 · outbound

This paper cites Will two do? varying dimensions in electrocardiography: The physionet/computing in cardiology challenge 2021.

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:25.434145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35f7e30a-cf5a-420d-a9d6-0fb73f85ce33 · outbound

This paper cites Optimal multi-stage arrhythmia classification approach.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Optimal multi-stage arrhythmia classification approach

Reference 31

Resolution: verified exact; doi, observed 2026-08-06T20:22:23.175715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ba7193a-88d0-4153-a43f-f46f3e38b6d5 · outbound

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

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:21.607309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54697ebc-1f33-4a3b-8a9e-54dd9a6908b4 · outbound

This paper cites An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:21.744198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fa6a11-47e1-4ec8-aa86-64cb4697d62f · outbound

This paper cites Classification of ecg using ensemble of residual cnns with attention mechanism.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Classification of ecg using ensemble of residual cnns with attention mechanism

Reference 34

Resolution: verified exact; doi, observed 2026-08-06T20:22:22.894631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdf0c470-ca18-4ec1-bd8c-085d3ca9445b · outbound

This paper cites Analysis of augmentations for contrastive ecg representation learning.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Analysis of augmentations for contrastive ecg representation learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:22.106819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21694dd2-4fc3-4314-84c2-43de3ece4886 · outbound

This paper cites Self-supervised representation learning from 12-lead ecg data.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Self-supervised representation learning from 12-lead ecg data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:22.273924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ad4b59-5b04-449e-95b1-21a3481b4424 · outbound

This paper cites an unresolved cited work.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:22:25.275989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6087e89-76b5-4dc3-b583-ff33bdc96345 · outbound

This paper cites Selfeeg: A python library for self-supervised learning in electroencephalog- raphy.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models Selfeeg: A python library for self-supervised learning in electroencephalog- raphy

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:22.529189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081fc490-e757-4a6e-ad1f-39162cb6e719 · outbound

This paper cites GitHub repository, 2023.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models GitHub repository, 2023

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:22:25.153548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40b56065-0faf-4595-953a-2bea09bbac0c · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models On the Opportunities and Risks of Foundation Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:18.893758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20871463-c0d7-4f93-b87e-6d6eea11d943 · outbound

This paper cites doi: 10.1038/s41467-023-39472-8.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models doi: 10.1038/s41467-023-39472-8

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:20.936674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba94c0c8-0182-4dcf-80e5-edb26c5082ae · outbound

This paper cites SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:19.408537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 00123c43-c86f-4837-bcbe-b63add727862 · inbound

LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics cites this paper.

LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T14:45:51.230638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.