Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.06276.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T06:01:06.123832Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:08:37.819812Z
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 596feb8c-5bfb-4a1f-86f2-051aa62c4a9a · inbound
Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.
Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
Reference 150
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:12:30.260198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 404d4c5d-a7f2-4f4c-8bca-76eff04cbb5a · inbound
Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech cites this paper.
Emo-LiPO: Listwise Preference Optimization for Fine-Grained Emotion Intensity Control in LLM-based Text-to-Speech PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T16:08:37.821400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.