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Paper Citation Record · LEDGER

Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14800.

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

pith.paper-citation-record.v1
2407.14800 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:46.229017Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T19:10:14.644810Z

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 9155ca06-05e4-4388-a731-141565435422 · inbound

A Review of Human Emotion Synthesis Based on Generative Technology cites this paper.

A Review of Human Emotion Synthesis Based on Generative Technology Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity

Reference 170

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:10:14.649556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:10:14.074948Z digest=sha256:2cb4ea9eeaecfb3398eb551041649f5744caaefe2ab58c581c599a0e9ad4f8a5

Observation 9d556e4e-b33c-4914-a42e-bdf1427f02a9 · inbound

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech cites this paper.

ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:46.229017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:46.229017Z digest=sha256:7bb031c442aff76b9fe5bd87632f4c9cfccf5025a2dece6c32e9a10dbb040720