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Paper Citation Record · LEDGER

DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.04646.

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

pith.paper-citation-record.v1
2207.04646 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:12:24.049483Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:22:28.509789Z

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 74d342f8-f9e7-43bc-902d-c2e766602add · inbound

Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners cites this paper.

Continuous Speech Tokens Makes LLMs Robust Multi-Modality Learners DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T21:12:24.049483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:12:24.049483Z digest=sha256:318eb096f13a00b114a2c1fc89e6ec8771305dc71f34cc9a52df8d4000c9f7e2

Observation 82a9bb4d-1a27-4e73-8901-e1fab26881cb · inbound

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis cites this paper.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:26.524942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:26.524942Z digest=sha256:120312244585fbe6115bf404d77412ff27dedbc31c1081deffd96515ecbad0b5

Observation 5c6132fe-1c44-4db0-a7a9-dc422b4ccf88 · inbound

Next Tokens Denoising for Speech Synthesis cites this paper.

Next Tokens Denoising for Speech Synthesis DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:22:28.570689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:22:26.737905Z digest=sha256:afaf07d942b535c63fb48de522c9f656ffbb8dee05fac394dd9307d47222a1d0