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Paper Citation Record · LEDGER

Controlling Emotion in Text-to-Speech with Natural Language Prompts

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.06406.

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

pith.paper-citation-record.v1
2406.06406 v2

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:29:38.220725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:33:25.578381Z

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 b83fb258-e51b-4a4c-8554-331dbcdcf692 · inbound

Expressive Prompting: Improving Emotion Intensity and Speaker Consistency in Zero-Shot TTS cites this paper.

Expressive Prompting: Improving Emotion Intensity and Speaker Consistency in Zero-Shot TTS Controlling Emotion in Text-to-Speech with Natural Language Prompts

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.581696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T20:31:24.494060Z digest=sha256:c2474dfd2c55bc302f723908b82de5f2c35e3f6bdbe5f89b6c318e63c7514e3d

Observation fbc6549b-8a53-4510-a1f5-9798d316c679 · inbound

EmoNews: A Spoken Dialogue System for Expressive News Conversations cites this paper.

EmoNews: A Spoken Dialogue System for Expressive News Conversations Controlling Emotion in Text-to-Speech with Natural Language Prompts

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:29:38.220725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:29:38.220725Z digest=sha256:0f642a60d2dc2b09be426fafee79b4ae2096d64d423d64a0240e347173eeef50

Observation a420190d-8ebe-4517-8c53-726538b46a83 · 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 Controlling Emotion in Text-to-Speech with Natural Language Prompts

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:12:30.356298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T08:11:31.181704Z digest=sha256:406224d62677736179e54a6f17d926a45a365a626fd4a353e0a0fcf5c1c496ab