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Paper Citation Record · LEDGER

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2604.25942.

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

pith.paper-citation-record.v1
2604.25942 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T09:39:26.587719Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7cfe7916-ea1b-4787-b690-747c4c0c402f · outbound

This paper cites A., Oh, S.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms A., Oh, S

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T06:53:23.933815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:f074f62f04d11ef0c985a5f871df5df9b96bb66fc4e53103014639d5f780b807

Observation cdae576b-70f5-4e31-88cc-ed7cc0c5240d · outbound

This paper cites Cardiovascular diseases (CVDs) fact sheet.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Cardiovascular diseases (CVDs) fact sheet

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T06:53:23.930472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:d5118465e3b1e15a4247a333b149f4723a6c5b38de5aae79d54d7ad3b7f0c707

Observation 20afe85c-7590-4db6-86ed-b422740fee13 · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.940536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:10615db2f01287e489d0e89aed3495524bcc322361dc40a44b381da3e451b8d6

Observation c8aa7c38-c188-466e-b349-33478f537c1a · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.925465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:48ddbdb26367599e39dba6ca87c2f6498d0c4ce125c3f424082b190775a450ee

Observation 90eb628c-43d6-437c-b2fd-82766a6b407e · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.928172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:c0b51c1abfac350da4271b9878b08adf2b1436e41a0c84c6a77a3c6f7f490bfe

Observation 553e4932-d071-4881-9b0e-867d3c316ff0 · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.937450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:b9bbab06c6e847db596055d8a1f04c23d039495791bded3e86f818c1ae3359be

Observation 1339542d-d331-44c1-ba9e-702d54abe5e6 · outbound

This paper cites AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:43:49.298586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:ed84dbdb96cd4982f7e5dd2928a0955fd470ef7d23be8a77027647b512964548

Observation 651c657f-dad6-4b39-b9a9-8040513dd00e · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.935594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:c308104afb0be07067ca9521d31ccca0146859529d77fe69f7ca85c32afb327e

Observation 64d7ef26-9942-4f47-9ce1-d90ddfe90bb2 · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.923673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:89839736396b8715452d180763eb6e854aeedbf461faa2facd12fba26a5c8925

Observation e7619735-64e5-46c0-baf5-a8923cab6173 · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.922121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:005bbb106a9e58060e96f8605e92b9e29588cef69d75aec4e1ed7ad8d73b45c9

Observation 9bd28d05-359e-4071-82ad-900ee383c982 · outbound

This paper cites an unresolved cited work.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-20T06:53:23.938967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:bf72debabdf1194de62d9ec6d7b2afba6e11d646594d5bdd85ca88ce8441ef95

Observation d0e5b730-0994-437e-8793-9635b4b35c3d · outbound

This paper cites normal LVEF.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms normal LVEF

Reference 12

Resolution
malformed identifier
raw_fallback, observed 2026-05-20T06:53:23.932213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:8fa9b81d1bc119b84a9152b87f5fece36f37692b804b61c561018b2b39825fee

Observation 4cdf3993-fbd9-4638-9377-92ee0337be31 · outbound

This paper cites Normal LVEF.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Normal LVEF

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T06:53:23.949725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:7e15e763fd499d6e0fea88416715ff8425fa86b927a0cffde9126d945b29ff37

Observation e0fff55f-a93d-4d91-9a17-68b214484f55 · outbound

This paper cites Normal LVEF.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Normal LVEF

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T06:53:23.947684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:b670720c4d5b6623b72766348988da31f4d4ff204b3ef15f416c3cef6295e912

Observation 66265bf0-6674-44e0-835c-a8bd758d96c5 · outbound

This paper cites Normal LVEF.

A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms Normal LVEF

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T06:53:23.945634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T09:39:26.587719Z digest=sha256:81376b6b60440f79c55466c8349d20e47ed165247bca756c504429bee56d2fdd

Pith citing papers

No inbound Pith citation observations are available.