Paper Citation Record · LEDGER

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons

As of 6 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2605.16975.

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

pith.paper-citation-record.v1
2605.16975 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T21:03:38.354134Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

38 of 38 outbound references displayed

verified exact9
verified fuzzy28
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a521108-ea2f-40fc-b64d-cd99747ee1c4 · outbound

This paper cites Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.Nature Reviews Cardiology, 18(7):465–478.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.Nature Reviews Cardiology, 18(7):465–478

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.374712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 31592d3d-541f-45fb-8bf9-c4c81f3cee45 · outbound

This paper cites Deep learning for ecg analysis: Benchmarks and insights from ptb-xl.IEEE journal of biomedical and health informatics, 25(5):1519–1528.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Deep learning for ecg analysis: Benchmarks and insights from ptb-xl.IEEE journal of biomedical and health informatics, 25(5):1519–1528

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.372799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ea199911-c12e-4465-8fd1-c1f07a73ae00 · outbound

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

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:07:47.106949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 941351b9-e854-4ef0-a082-a59c6b438a16 · outbound

This paper cites Aldo Faisal, and David A.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Aldo Faisal, and David A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.362484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2bd4820b-706c-4a4f-b198-371bed7a9de7 · outbound

This paper cites Ecg-fm: An open electrocardiogram foundation model.JAMIA open, 8(5):ooaf122.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Ecg-fm: An open electrocardiogram foundation model.JAMIA open, 8(5):ooaf122

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.333248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8966fd2c-4c9f-49fe-88a5-e9d25bce1045 · outbound

This paper cites an unresolved cited work.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-19T21:13:14.364320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7fb004ff-0e73-4c8b-9363-2d52ad95d1c4 · outbound

This paper cites An electrocardiogram foundation model built on over 10 million recordings.NEJM AI, 2(7):AIoa2401033.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons An electrocardiogram foundation model built on over 10 million recordings.NEJM AI, 2(7):AIoa2401033

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.354657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1aa5d263-f26c-4c03-95b6-a298286928c0 · outbound

This paper cites VTaC: A benchmark dataset of ventricular tachycardia alarms from ICU monitors.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons VTaC: A benchmark dataset of ventricular tachycardia alarms from ICU monitors

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.366142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3bc90156-515b-48ce-a13b-e896e4f3fb55 · outbound

This paper cites Clifford, and Ikaro Silva.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Clifford, and Ikaro Silva

Reference 9

Resolution: verified exact; doi, observed 2026-05-19T21:07:46.939908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 168c00ab-8392-4deb-8204-960ad2e4e04b · outbound

This paper cites MC-MED, multimodal clinical monitoring in the emergency department.Scientific Data, 12(1):1094.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons MC-MED, multimodal clinical monitoring in the emergency department.Scientific Data, 12(1):1094

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.356554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 140702e3-80f3-4be1-899d-0db28fb676bf · outbound

This paper cites OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:07:47.097801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 79583574-ba31-4a6a-9821-bb9710278d11 · outbound

This paper cites A foundation transformer model with self-supervised learning for ecg- based assessment of cardiac and coronary function.NEJM AI, 2(12):AIoa2500164.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons A foundation transformer model with self-supervised learning for ecg- based assessment of cardiac and coronary function.NEJM AI, 2(12):AIoa2500164

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.368292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 10029242-d414-41b9-b79b-57df3187cf4e · outbound

This paper cites CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:07:47.103648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 95352d54-ee04-408e-8069-89d42dcccbb0 · outbound

This paper cites Ecgfm: A foundation model for ecg analysis trained on a multi-center million-ecg dataset.Information Fusion, page 103363.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Ecgfm: A foundation model for ecg analysis trained on a multi-center million-ecg dataset.Information Fusion, page 103363

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.342593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d692988-fb08-4f0f-80fb-2430431b6b87 · outbound

This paper cites Ecg semantic integrator (esi): A foundation ecg model pretrained with llm-enhanced cardiological text.Transactions on Machine Learning Research (TMLR).

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Ecg semantic integrator (esi): A foundation ecg model pretrained with llm-enhanced cardiological text.Transactions on Machine Learning Research (TMLR)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.370386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f35a8ed-4a81-427b-83d4-95090dcc82da · outbound

This paper cites Foundation model of ecg diagnosis: Diagnostics and explanations of any form and rhythm on ecg.Cell Reports Medicine, 5(12).

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Foundation model of ecg diagnosis: Diagnostics and explanations of any form and rhythm on ecg.Cell Reports Medicine, 5(12)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.351253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0dbdaa97-c462-4390-8eaf-2a726d92ecb8 · outbound

This paper cites Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks.Resus- citation, 169:86–94.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks.Resus- citation, 169:86–94

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.318054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0afcf345-0f83-4cda-8680-f0bbef41f546 · outbound

This paper cites Automatic screening of patients with atrial fibrillation from 24-h holter recording using deep learning.European Heart Journal-Digital Health, 4(3):216–224.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Automatic screening of patients with atrial fibrillation from 24-h holter recording using deep learning.European Heart Journal-Digital Health, 4(3):216–224

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.322555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 39b7ff99-6963-49bd-b008-1ac124922667 · outbound

This paper cites Neurottt: Bridging pretraining-downstream task misalignment in eeg foundation models via test-time training.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Neurottt: Bridging pretraining-downstream task misalignment in eeg foundation models via test-time training

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:07:47.109605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5a9d6164-757a-4774-b824-c7a0f822a3a4 · outbound

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

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons H-tuning: Toward low-cost and efficient ECG-based cardiovascular disease detection with pre-trained models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.349365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d9c7b20-b9f8-4d2a-846a-357f0a4b0954 · outbound

This paper cites Efficient per- sonalized adaptation for physiological signal foundation model.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Efficient per- sonalized adaptation for physiological signal foundation model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.353001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d074151a-c8bc-4ddc-a849-d7ba452d6f1b · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons An image is worth 16x16 words: Transformers for image recognition at scale

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.358682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ed95aaf0-c3c7-447c-aacd-34e8f2e676d3 · outbound

This paper cites BEit: BERT pre-training of image transformers.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons BEit: BERT pre-training of image transformers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.347548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3eafb7c2-63bb-4f98-9aca-8b9bb14d8eb7 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Swin transformer: Hierarchical vision transformer using shifted windows

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.344803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b8a0422-c380-41e9-bf06-e8d18c8dc5f5 · outbound

This paper cites Visual prompt tuning.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Visual prompt tuning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.345238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44cd3a5f-c04f-4566-ac88-6c6329b7efe8 · outbound

This paper cites Soft contrastive learning for time series.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Soft contrastive learning for time series

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.360385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8fa8bcda-dbaf-4e30-b0f5-847c283a6012 · outbound

This paper cites Clocs: Contrastive learning of cardiac signals across space, time, and patients.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Clocs: Contrastive learning of cardiac signals across space, time, and patients

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.368089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 61b44f91-a873-4dbf-9dad-374cad93eec0 · outbound

This paper cites Rank-n-contrast: learning continuous representations for regression.Advances in Neural Information Processing Systems, 36:17882–17903.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Rank-n-contrast: learning continuous representations for regression.Advances in Neural Information Processing Systems, 36:17882–17903

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.351944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 324a89b6-3cf0-4a65-a892-f349f7f61954 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons A simple framework for contrastive learning of visual representations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.356392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c04bdbea-f0d1-4c24-8e9e-f91795faa312 · outbound

This paper cites Exploring simple siamese representation learning.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Exploring simple siamese representation learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.349751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 64caf89f-e7b8-409a-b0bf-90b4fcc3dfb0 · outbound

This paper cites Biot: Biosignal transformer for cross-data learning in the wild.Advances in Neural Information Processing Systems, 36:78240–78260.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Biot: Biosignal transformer for cross-data learning in the wild.Advances in Neural Information Processing Systems, 36:78240–78260

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.358514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e240524f-2ba8-4af8-abde-043d2ee23079 · outbound

This paper cites Zero- shot ECG classification with multimodal learning and test-time clinical knowledge enhancement.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Zero- shot ECG classification with multimodal learning and test-time clinical knowledge enhancement

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.362341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5a596d33-a075-4b47-b4c6-1f6668f9156b · outbound

This paper cites Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:07:47.100697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 64d01359-88eb-43ba-980f-5bb773549c8b · outbound

This paper cites VTaC: A benchmark dataset of ventricular tachycardia alarms from ICU monitors.PhysioNet, October 2024.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons VTaC: A benchmark dataset of ventricular tachycardia alarms from ICU monitors.PhysioNet, October 2024

Reference 34

Resolution: verified exact; doi, observed 2026-05-19T21:07:46.941859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation de5bc518-a5fb-4e1d-866e-a0d779cdc4a7 · outbound

This paper cites Multimodal Clinical Monitoring in the Emergency Department (MC-MED).PhysioNet, September 2025.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Multimodal Clinical Monitoring in the Emergency Department (MC-MED).PhysioNet, September 2025

Reference 35

Resolution: verified exact; doi, observed 2026-05-19T21:07:46.944112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7ec16db0-b1da-4739-a003-796dda5964cd · outbound

This paper cites Clifford, and Chengyu Liu.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Clifford, and Chengyu Liu

Reference 36

Resolution: verified exact; doi, observed 2026-05-19T21:07:46.945959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1eac7a3e-4e4a-4222-9131-b771b31a656c · outbound

This paper cites AdaptFormer: Adapting vision transformers for scalable visual recognition.Advances in Neural Information Processing Systems (NeurIPS), 35:16664–16678.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons AdaptFormer: Adapting vision transformers for scalable visual recognition.Advances in Neural Information Processing Systems (NeurIPS), 35:16664–16678

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.364491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3fb5cdf-bfc1-4315-886e-f1aa2cf3aa7a · outbound

This paper cites AdapterFusion: Non-destructive task composition for transfer learning.

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons AdapterFusion: Non-destructive task composition for transfer learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T21:13:14.366323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.