Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.09383.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-17T22:41:43.411128Z
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
2
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 d4789d3f-ed65-4a47-a9ea-7b36800571cb · inbound
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers cites this paper.
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:31:07.090934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8854bd9f-f7e2-4f53-b779-cd40cc3f72a9 · inbound
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers cites this paper.
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:31:07.069766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9f0158a4-7282-4feb-b3db-870572029ac9 · inbound
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Grad-StyleSpeech: Any-speaker Adaptive Text-to-Speech Synthesis with Diffusion Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:41:43.503409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.