Paper Citation Record · LEDGER

Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.07246.

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

pith.paper-citation-record.v1
2310.07246 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:32:42.677294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:07:38.233279Z

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 c04a515a-bb96-4b2d-94e5-785d78b9849a · inbound

QR-VC: Leveraging Quantization Residuals for Linear Disentanglement in Zero-Shot Voice Conversion cites this paper.

QR-VC: Leveraging Quantization Residuals for Linear Disentanglement in Zero-Shot Voice Conversion Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:34:29.947146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd4b508-8b0d-45cb-addf-509425016c4e · inbound

Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restoration cites this paper.

Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restoration Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:32:42.677294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d2caa7-3d1f-4d32-b2df-58cd5a226ef9 · inbound

Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation cites this paper.

Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:26.214443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e1aec8-b212-4126-9d1f-a04eff64dbb3 · inbound

SemAlignVC: Enhancing zero-shot timbre conversion using semantic alignment cites this paper.

SemAlignVC: Enhancing zero-shot timbre conversion using semantic alignment Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:14:07.368985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059fd6ae-7f11-4641-b24e-539583242b22 · inbound

EchoFree: Towards Ultra Lightweight and Efficient Neural Acoustic Echo Cancellation cites this paper.

EchoFree: Towards Ultra Lightweight and Efficient Neural Acoustic Echo Cancellation Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T22:53:25.978277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f7d56a-1d3c-4f02-8de1-352470d3a8fa · inbound

LMPAN: A Lightweight Multi-Path Alignment Network for Joint Full-Duplex Acoustic Echo Cancellation and Noise Suppression cites this paper.

LMPAN: A Lightweight Multi-Path Alignment Network for Joint Full-Duplex Acoustic Echo Cancellation and Noise Suppression Vec-Tok Speech: speech vectorization and tokenization for neural speech generation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:07:38.235286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.