Paper Citation Record · LEDGER

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.23259.

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

pith.paper-citation-record.v1
2506.23259 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:50:25.628652Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

13 of 13 outbound references displayed

verified exact2
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90c4b3e3-85b0-4bc8-8919-6da5bf908c8e · outbound

This paper cites Deep learning for ecg arrhythmia detection and classification: an overview of progress for period 2017--2023.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining Deep learning for ecg arrhythmia detection and classification: an overview of progress for period 2017--2023

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T21:50:26.873187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f84ab8c6-7fd1-41f5-bc84-41c8772a3a9c · outbound

This paper cites Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:24.547365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f82be7-22a3-4e4e-a891-7ba124ae9380 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:24.628087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151f4a2f-4a60-43be-81e9-813d32cae46d · outbound

This paper cites J., Brammer, J.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining J., Brammer, J

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:24.762588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa560dd-7ddd-4020-a7f0-ab3e349de0f2 · outbound

This paper cites E., Clifford, G.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining E., Clifford, G

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:50:27.164561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2710c43-ef4f-47e2-87e3-474d63a7c6ec · outbound

This paper cites In silico evaluation of cell therapy in acute versus chronic infarction.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining In silico evaluation of cell therapy in acute versus chronic infarction

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T21:50:26.103719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f853e7ae-4e19-49d1-92d0-1ed230f37039 · outbound

This paper cites Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T21:50:25.886453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b89e743-45cc-4616-b215-4563a055c174 · outbound

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

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining Deep learning for ecg analysis: Benchmarks and insights from ptb-xl

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:25.158496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aebeeee5-9012-4cb8-a85d-531c4fe73fe3 · outbound

This paper cites A multi-lead group network for myocardial infarction detection and localization based on clinical knowledge-driven and dynamic-static feature fusion.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining A multi-lead group network for myocardial infarction detection and localization based on clinical knowledge-driven and dynamic-static feature fusion

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T21:50:26.448429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 224c42e1-8100-4596-9296-0eb20a1159f8 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining N., Kaiser, ., and Polosukhin, I

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:25.360825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ab0f4a-3659-4a0d-8744-5909fbd75f88 · outbound

This paper cites I., Samek, W., and Schaeffter, T.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining I., Samek, W., and Schaeffter, T

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:50:27.008031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d41fa7ac-47d9-475d-ab90-65c85093e519 · outbound

This paper cites Masked Transformer for Electrocardiogram Classification.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining Masked Transformer for Electrocardiogram Classification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:25.542613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa68ff0d-c8d8-4944-84b6-acd1dfa4360a · outbound

This paper cites write newline.

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining write newline

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:25.628652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.