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Paper Citation Record · LEDGER

ICASSP 2022 Deep Noise Suppression Challenge

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.13288.

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

pith.paper-citation-record.v1
2202.13288 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:34:28.967663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:50:04.838134Z

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 c3d4c212-b6ce-4dbb-a602-e7b851c3c557 · inbound

DPDFNet: Boosting DeepFilterNet2 via Dual-Path RNN cites this paper.

DPDFNet: Boosting DeepFilterNet2 via Dual-Path RNN ICASSP 2022 Deep Noise Suppression Challenge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T15:34:28.967663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:34:28.967663Z digest=sha256:925d5ef373bf6b590245c614b6a74234d9bd6520fd20aab2aad4043f782af89b

Observation 0b8261f2-f0d6-45b1-a49b-b27bceac3f40 · inbound

Perceptual Evaluation of Higher-Order Ambisonic Codecs on Both Synthetic Mixing and Native Recordings cites this paper.

Perceptual Evaluation of Higher-Order Ambisonic Codecs on Both Synthetic Mixing and Native Recordings ICASSP 2022 Deep Noise Suppression Challenge

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:50:04.839539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T22:25:59.353235Z digest=sha256:3557b0e4713453857623e9b7db8e84f8549c52f2ea52b02795465199d90ea73b