Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Input Multi-Output Target-Speaker Voice Activity Detection For Unified, Flexible, and Robust Audio-Visual Speaker Diarization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.08052.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:51.000297Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:21:59.600878Z
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 8c45c1e7-7a83-4781-afae-c1fc57acfaf0 · inbound
Multi-Channel Sequence-to-Sequence Neural Diarization: Experimental Results for The MISP 2025 Challenge cites this paper.
Multi-Channel Sequence-to-Sequence Neural Diarization: Experimental Results for The MISP 2025 Challenge Multi-Input Multi-Output Target-Speaker Voice Activity Detection For Unified, Flexible, and Robust Audio-Visual Speaker Diarization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:04:51.000297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c140ea81-7ae9-40be-b600-f63c29793861 · inbound
M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset cites this paper.
M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset Multi-Input Multi-Output Target-Speaker Voice Activity Detection For Unified, Flexible, and Robust Audio-Visual Speaker Diarization
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T00:21:59.726773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.