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Paper Citation Record · LEDGER

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2508.00131.

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

pith.paper-citation-record.v1
2508.00131 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:25:06.487077Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 exact0
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8874c565-7abf-4548-9569-164dbb92dc20 · outbound

This paper cites A survey on ecg analysis,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks A survey on ecg analysis,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 97adaa22-613f-4f54-83ae-72f78163ccf2 · outbound

This paper cites Classification of ecg signal using fft based improved alexnet classifier,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Classification of ecg signal using fft based improved alexnet classifier,

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a504f452-2964-4393-8c3b-b940a859b22b · outbound

This paper cites A novel dimensionality reduction approach for ecg signal via convolutional denoising autoencoder with lstm,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks A novel dimensionality reduction approach for ecg signal via convolutional denoising autoencoder with lstm,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 411d3010-fb5a-496d-823b-9e28d2d5530d · outbound

This paper cites Reconstruction of the frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Reconstruction of the frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:25:06.448769Z digest=sha256:c75d75f90758320312ed2827ddd751c2341f4bffeaf4f35065fe5cf5f484582f

Observation a101a8ad-7fc0-49bf-b676-a3d02ddd0a6a · outbound

This paper cites Serving the enterprise and be- yond with informatics for integrating biology and the bedside (i2b2),.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Serving the enterprise and be- yond with informatics for integrating biology and the bedside (i2b2),

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.608373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b8912fd6-1be6-459b-b8f7-2071e68670bf · outbound

This paper cites Expressing observations from electronic medical record flowsheets in an i2b2-based clinical data repository to support research and quality improvement,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Expressing observations from electronic medical record flowsheets in an i2b2-based clinical data repository to support research and quality improvement,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.598500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6c86213a-5616-4a4f-b6dc-398d9fe81b53 · outbound

This paper cites Auto-Encoding Variational Bayes.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Auto-Encoding Variational Bayes

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T10:25:06.459971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19c60c8a-2f37-4783-a1ba-f68aeae4f443 · outbound

This paper cites On information and sufficiency,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks On information and sufficiency,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T10:25:06.463725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:25:06.463725Z digest=sha256:4ca06fd1f675d301665a03dfdf799576893da7b602bda2ab661d2f4459f92d08

Observation cbf67bfa-8ec0-4284-b6cb-d929fd0d50df · outbound

This paper cites beta- V AE: Learning basic visual concepts with a constrained variational framework,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks beta- V AE: Learning basic visual concepts with a constrained variational framework,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.581891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1a722cd3-fe8a-4f72-be46-f3254b0716c3 · outbound

This paper cites Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T10:25:06.470187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b880c24-7101-491b-a2b7-66b2342b5813 · outbound

This paper cites Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e19a5434-9df5-4cb8-8d60-e0898702086e · outbound

This paper cites Age and sex estimation using artificial intelligence from standard 12-lead ecgs,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Age and sex estimation using artificial intelligence from standard 12-lead ecgs,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.562327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:25:06.477730Z digest=sha256:587271fb1399bfc2514a64c74267142071ed66970ca37724dd8c253799fce6d7

Observation 389fd972-f863-48c6-b115-1d76ba80cfce · outbound

This paper cites Artificial intelligence algorithm for screening heart failure with reduced ejection fraction using electrocardiography,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Artificial intelligence algorithm for screening heart failure with reduced ejection fraction using electrocardiography,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.551942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:25:06.481066Z digest=sha256:e118e51158d596e6227942c7bd6c4cd8ebb60f61bdef3c1e6f232fde9d987182

Observation a3ea438b-94b5-420a-81c0-b5dc0a70c242 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree,.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Lightgbm: A highly efficient gradient boosting decision tree,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.541815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T10:25:06.484008Z digest=sha256:bc4597cf6e9d0b012cdc785a8dd4aa8c6c613c463dd08192050d4b2ee19f72bb

Observation ce30e639-6027-4f0d-af1d-a3e3d812594b · outbound

This paper cites Surawicz, R.

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks Surawicz, R

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:25:06.530120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.