Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Textless Speech Emotion Conversion using Discrete and Decomposed Representations
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.07402.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:50:21.003985Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T21:49:52.234477Z
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 448398a6-b82c-448b-9e25-4d4f409d59ad · inbound
High Fidelity Neural Audio Compression cites this paper.
High Fidelity Neural Audio Compression Textless Speech Emotion Conversion using Discrete and Decomposed Representations
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:49:52.236134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be03c332-48be-41df-aaaf-f72c62f3b4fe · inbound
Maestro-EVC: Controllable Emotional Voice Conversion Guided by References and Explicit Prosody cites this paper.
Maestro-EVC: Controllable Emotional Voice Conversion Guided by References and Explicit Prosody Textless Speech Emotion Conversion using Discrete and Decomposed Representations
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:34:42.520181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20f2c225-b11c-43a8-babd-4ee563595883 · inbound
AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks cites this paper.
AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks Textless Speech Emotion Conversion using Discrete and Decomposed Representations
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:50:21.003985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.