Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:11.370246Z
Paper Citation Record · LEDGER
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis
As of 7 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2507.06116.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1dafe0bb-dc99-4971-b496-c82e5ddeda11 · outbound
This paper cites wav2vec 2.0: A framework for self- supervised learning of speech representations.
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis wav2vec 2.0: A framework for self- supervised learning of speech representations
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:14:11.877014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5b087b82-4a04-492e-a311-ebe5617bcdd5 · outbound
This paper cites Generalization ability of mos prediction networks.
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis Generalization ability of mos prediction networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:14:11.657018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 589760ff-a27e-4e54-9a80-86546b8e52c0 · outbound
This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:10.969660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feecbaed-154d-41c9-9cef-86146d1a9a3e · outbound
This paper cites CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training.
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:11.092792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f9b39f-def3-4812-afda-b754c9957879 · outbound
This paper cites FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications.
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:11.205847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3f33b4f-16bf-4ef7-871b-4e221029ce10 · outbound
This paper cites Adaptive mixtures of local experts.
Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis Adaptive mixtures of local experts
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:14:11.370246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.