Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards measuring fairness in speech recognition: Fair-Speech dataset
As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.12734.
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 2026-07-31T06:34:12.847434+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T10:16:27.044140Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:07:55.906081Z
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 02523685-a819-438d-afb4-fbb1b48ea0a7 · inbound
"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection cites this paper.
"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection Towards measuring fairness in speech recognition: Fair-Speech dataset
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:40:53.678229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 8641f9b9-dc8f-4ee0-8f9b-a806eb4d99d1 · inbound
Cross-Cultural Bias in Mel-Scale Representations: Evidence and Alternatives from Speech and Music cites this paper.
Cross-Cultural Bias in Mel-Scale Representations: Evidence and Alternatives from Speech and Music Towards measuring fairness in speech recognition: Fair-Speech dataset
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:05:58.777652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 893ab155-00d3-45e0-915e-0c5bc64e8b7b · inbound
Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Models cites this paper.
Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Models Towards measuring fairness in speech recognition: Fair-Speech dataset
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:07:55.907693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.