Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.06451.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:10:14.119369Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:45:11.349273Z
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 3fc63555-d69f-4323-8580-e06859e06dfa · inbound
A Review of Human Emotion Synthesis Based on Generative Technology cites this paper.
A Review of Human Emotion Synthesis Based on Generative Technology Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models
Reference 181
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:10:14.119369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6844ad37-59b2-4f93-a12b-17fcb56aaa86 · inbound
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast cites this paper.
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:45:11.427331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.