Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.10352.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:50:49.044638Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T10:37:01.581381Z
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 8e7a93fa-78b1-47ae-93d5-681901ac99a2 · inbound
Interleaved Speech-Text Language Models for Simple Streaming Text-to-Speech Synthesis cites this paper.
Interleaved Speech-Text Language Models for Simple Streaming Text-to-Speech Synthesis Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:50:49.044638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d87052d6-7e3b-4ec3-a499-a0fc5826aa78 · inbound
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching cites this paper.
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:32:03.665690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b2a6f30a-9185-4d39-bc60-d608c1c65b1c · inbound
Next Tokens Denoising for Speech Synthesis cites this paper.
Next Tokens Denoising for Speech Synthesis Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:22:27.528989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5695c82b-c8ac-40e6-96b7-2887b6416d3b · inbound
FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model cites this paper.
FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
Reference 233
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T11:55:42.136075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 16fca63d-8010-4856-a07f-35e628cb6480 · inbound
Best-of-$N$ TTS Evaluation is Confounded by ASR Family Alignment cites this paper.
Best-of-$N$ TTS Evaluation is Confounded by ASR Family Alignment Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T10:37:01.582743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.