Paper Citation Record · LEDGER

Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.09450.

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

pith.paper-citation-record.v1
2402.09450 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:45.264886Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:04.542133Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf40e8cf-184e-4c8d-84e2-d41cb0605318 · inbound

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining cites this paper.

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:51:45.264886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b721905-3d5a-4c22-9c82-205d030ca766 · inbound

Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography cites this paper.

Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T21:20:46.368208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5caf7e0b-1d50-4f75-b16c-284d1e6b3f1b · inbound

BenchECG and xECG: a benchmark and baseline for ECG foundation models cites this paper.

BenchECG and xECG: a benchmark and baseline for ECG foundation models Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:12:27.814087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c624f20c-cc6f-4edc-bb9f-d12d02a30bc3 · inbound

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series cites this paper.

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:26:16.620850Z

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 e905fdd7-afb6-4db9-b06d-7fc552112d04 · inbound

Learning Cardiac Latent Representations in Vectorcardiogram Space cites this paper.

Learning Cardiac Latent Representations in Vectorcardiogram Space Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.684638Z

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 db5af478-15de-4938-8724-2b39f7497527 · inbound

Hierarchical Self-Supervised Representation Learning Framework for Multivariate Time Series Grounded in ECG Analysis cites this paper.

Hierarchical Self-Supervised Representation Learning Framework for Multivariate Time Series Grounded in ECG Analysis Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:04.543771Z

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 6d62d308-b349-422d-8987-a45b0f5726bf · 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 Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 11

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 13fbbcb9-5ee1-4466-a50a-89f9864cd644 · inbound

EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings cites this paper.

EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T11:54:43.289825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640507d3-46b3-4c92-8ef6-97269de9c0a1 · inbound

CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models cites this paper.

CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T03:03:58.856721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.