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Paper Citation Record · LEDGER

The Singing Voice Conversion Challenge 2023

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.14422.

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

pith.paper-citation-record.v1
2306.14422 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:13.695300Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84a282b0-eade-414e-b5cd-9df361a02ed3 · inbound

Neurodyne: Neural Pitch Manipulation with Representation Learning and Cycle-Consistency GAN cites this paper.

Neurodyne: Neural Pitch Manipulation with Representation Learning and Cycle-Consistency GAN The Singing Voice Conversion Challenge 2023

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:13.695300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:13.695300Z digest=sha256:372659f85f19ea02bd1bfbb950d1d4abb41d3e81c05d64b454e833401fe5aa7a

Observation eebf34a6-7889-4e15-a7f4-b72098f240a5 · inbound

Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection cites this paper.

Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection The Singing Voice Conversion Challenge 2023

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.007756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T18:58:31.318883Z digest=sha256:dd61723327ab9a6a7800424d267f0fd48cc7e50f059896cf6e9519295e002fd8