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Paper Citation Record · LEDGER

Unsupervised speech representation learning using WaveNet autoencoders

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.08810.

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

pith.paper-citation-record.v1
1901.08810 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:14:48.076184Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T17:06:16.946104Z

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 d39892ff-56f8-47a1-b7c1-e5175aa34016 · inbound

Non-Parallel Voice Conversion with Cyclic Variational Autoencoder cites this paper.

Non-Parallel Voice Conversion with Cyclic Variational Autoencoder Unsupervised speech representation learning using WaveNet autoencoders

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-24T17:06:16.950097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T17:05:25.448346Z digest=sha256:5f3c3549a980a1c4a08b5508919349aa9d0bc0c4107ed01e5fdd90d60b650d6f

Observation 553e01f0-9429-4114-9638-3dc954b0afdc · inbound

Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling cites this paper.

Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling Unsupervised speech representation learning using WaveNet autoencoders

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T14:14:48.076184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:14:48.076184Z digest=sha256:7c80d0f35596275fba96e4e9941854bad42b178dbb9cd02bab1d297e04f52c88