Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T18:05:41.144900Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2606.08505.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T18:05:41.144900Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T03:35:52.718950Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T14:29:54.443525Z
12 of 12 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4ea514a5-19f3-4344-8662-321fca3aa047 · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines pyannote.audio: neural building blocks for speaker diarization,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 897ccf64-bf1c-448e-b5c8-04a0cb4a125f · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Powerset multi-class cross entropy loss for neural speaker diarization,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fe00424-73bf-4960-ab51-dc25b36ac4ee · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 371f3eb5-3148-40ac-b122-6d17ec55a105 · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines SDBench: A Comprehensive Benchmark Suite for Speaker Diarization
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3636cf11-a3a9-4e73-a84e-e7687c5c6497 · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines CAM++: A fast and efficient network for speaker verification using context-aware masking,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad422868-d677-4972-9334-9816f8cebcf6 · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Advancing speaker embedding learning: Wespeaker toolkit for research and production,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82681c77-e0cd-449c-b448-f7e828d57b4a · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines pyannote.metrics: a toolkit for reproducible evaluation, di- agnostic, and error analysis of speaker diarization systems,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14511b2a-7b8a-42bf-8d2b-ff001bbb68ad · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Modern hierarchical, agglomerative clustering algorithms
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8f028813-26da-4084-9f80-01f96e2f5a8e · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Deep residual learning for image recognition,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaedf55e-0234-488f-8427-b1fa39cfaf35 · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines The AMI meeting corpus: A pre-announcement,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5ef0cd9-8e28-4f99-82fa-00b67c83931a · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines Spot the conversation: speaker diarisation in the wild,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93fac77d-a75e-4cce-9192-8b984118fa99 · outbound
Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines MSDWild: Multi-modal speaker diarization dataset in the wild,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73f60499-ce5f-4f22-b256-c93ca0cbc809 · inbound
voxmap-studio: An open-source speaker diarization annotation tool with built-in cost instrumentation Fast and Robust On-Device Speaker Diarization: Relative Minimum Cluster Size for Stride-Accelerated Pipelines
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.