Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2110.03370.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:30:37.358858Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 20ba5e4b-8a6c-45a4-b627-74fb13feaee1 · inbound
Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge cites this paper.
Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:30:37.358858Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19cd9c47-a240-4442-9e8b-0599fd5ce481 · inbound
Ming-Omni: A Unified Multimodal Model for Perception and Generation cites this paper.
Ming-Omni: A Unified Multimodal Model for Perception and Generation WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:58:10.654286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b54d6d9-9aaf-4136-a244-4645ab435966 · inbound
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model cites this paper.
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:33:19.462794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17c8c44b-5f15-4b71-a916-c3bd436ea1a7 · inbound
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages cites this paper.
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:32.604685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fdc7dad-ae15-41b2-b68d-4684f58df13e · inbound
Step-Audio 2 Technical Report cites this paper.
Step-Audio 2 Technical Report WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T05:59:51.107662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b71c0222-688f-4a27-9fe8-e363ad42f8be · inbound
Non-Intrusive Automatic Speech Recognition Refinement: A Survey cites this paper.
Non-Intrusive Automatic Speech Recognition Refinement: A Survey WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:35:46.418333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aed6896a-4747-4327-8c52-3fd2774666c3 · inbound
Data-Efficient On-Policy Distillation for Automatic Speech Recognition cites this paper.
Data-Efficient On-Policy Distillation for Automatic Speech Recognition WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:03:23.187584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.