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Paper Citation Record · LEDGER

A Brief Overview of Unsupervised Neural Speech Representation Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.01829.

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

pith.paper-citation-record.v1
2203.01829 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:35:12.057665Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:40:10.673680Z

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 1d6e3642-dd9f-47b4-b257-f17d8c70c4e4 · inbound

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection cites this paper.

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection A Brief Overview of Unsupervised Neural Speech Representation Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T04:35:12.057665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:35:12.057665Z digest=sha256:4994c3973fe4a053d782d12b3491d0a169e8e0cb178be6314057be32c1f7f860

Observation 5ff54f5e-682b-4d85-bd31-17cf031384a9 · inbound

MixedG2P-T5: G2P-free Speech Synthesis for Mixed-script texts using Speech Self-Supervised Learning and Language Model cites this paper.

MixedG2P-T5: G2P-free Speech Synthesis for Mixed-script texts using Speech Self-Supervised Learning and Language Model A Brief Overview of Unsupervised Neural Speech Representation Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:40:10.681418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:40:10.427945Z digest=sha256:7147fd6bc9dc0e61c7782aa7707dfcbd63d63d5d5b582872a90aa524f03ea095