Paper Citation Record · LEDGER

Deep Recurrent Neural Networks for ECG Signal Denoising

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1807.11551.

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

pith.paper-citation-record.v1
1807.11551 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:32:52.834738Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:08:10.725611Z

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 8ace979b-806c-4257-baa6-3163d76ed164 · inbound

On Regularization Properties of Artificial Datasets for Deep Learning cites this paper.

On Regularization Properties of Artificial Datasets for Deep Learning Deep Recurrent Neural Networks for ECG Signal Denoising

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T12:32:52.834738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45d541f-a28e-450d-b0d7-d439ed5fa8f5 · inbound

Complex Deep Learning Models for Denoising of Human Heart ECG signals cites this paper.

Complex Deep Learning Models for Denoising of Human Heart ECG signals Deep Recurrent Neural Networks for ECG Signal Denoising

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:43.351275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749ccfcf-01bb-4957-8762-90ee37fb3a39 · inbound

TF-TransUNet1D: Time-Frequency Guided Transformer U-Net for Robust ECG Denoising in Digital Twin cites this paper.

TF-TransUNet1D: Time-Frequency Guided Transformer U-Net for Robust ECG Denoising in Digital Twin Deep Recurrent Neural Networks for ECG Signal Denoising

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T15:08:10.730345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f230102-92d9-4957-93e7-1112eba957c9 · inbound

TFCDiff: Robust ECG Denoising via Time-Frequency Complementary Diffusion cites this paper.

TFCDiff: Robust ECG Denoising via Time-Frequency Complementary Diffusion Deep Recurrent Neural Networks for ECG Signal Denoising

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T21:10:51.957449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.