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Paper Citation Record · LEDGER

Heart Sound Classification Considering Additive Noise and Convolutional Distortion

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.01865.

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

pith.paper-citation-record.v1
2106.01865 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:51:36.405099Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 88d7080c-77fd-4015-b8a6-19722101f2ac · inbound

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals cites this paper.

Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Heart Sound Classification Considering Additive Noise and Convolutional Distortion

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T16:51:36.405099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:51:36.405099Z digest=sha256:b0b060ba7e0cf9be1799197ba931e02e707177bef2405d831d7ec4347475c8ab