Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.04133.

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

pith.paper-citation-record.v1
2410.04133 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:22:20.328751Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models cites this paper.

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 32aa029a-47ed-4adb-99e3-5790a3f65d4b · inbound

Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI cites this paper.

Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T15:01:44.119989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67a2e0af-917d-4111-9b4f-d31c62ff4e9e · inbound

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook cites this paper.

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:28:14.212709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3df7aae-7933-4206-9fb5-0b7f15e78485 · inbound

Towards Real-Time ECG and EMG Modeling on $\mu$NPUs cites this paper.

Towards Real-Time ECG and EMG Modeling on $\mu$NPUs An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:01:13.533392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d50589f3-edea-4b82-b8d2-70e21cb2b31d · inbound

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning cites this paper.

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:06.103563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05d2357b-a241-4152-bd08-bd177d6a181c · inbound

EduGage: Methods and Dataset for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning cites this paper.

EduGage: Methods and Dataset for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:16:11.649505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons cites this paper.

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 2026-08-09T06:31:02.800959+00:00.

Observation c3f198a9-4c79-4531-a495-6bec6ffc2335 · inbound

How Do Electrocardiogram Models Scale? cites this paper.

How Do Electrocardiogram Models Scale? An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:48:19.706585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad478263-220f-4448-9196-1454d09e9044 · inbound

VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data cites this paper.

VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:23:15.962712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 862873e3-1b9c-44d0-995a-2356a2a8734d · inbound

Learning Cardiac Latent Representations in Vectorcardiogram Space cites this paper.

Learning Cardiac Latent Representations in Vectorcardiogram Space An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.692283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 379d1944-fd58-446d-aca9-6490877854ee · inbound

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification cites this paper.

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:54:43.561128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d71bb6ce-fd38-41bb-a8ac-88a8210c7e2f · inbound

Do ECG Foundation Models Transfer to Rare Cardiac Diseases? Evidence from Brugada Syndrome Detection cites this paper.

Do ECG Foundation Models Transfer to Rare Cardiac Diseases? Evidence from Brugada Syndrome Detection An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T05:29:44.415283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification cites this paper.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.