Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.02016.
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, observed 2026-06-29T07:30:11.718647Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T07:33:13.678073Z
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 c459de34-28b2-4d80-8022-702a8bdd0341 · inbound
Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition cites this paper.
Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:41:07.130212Z
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 eb750dd5-3b96-47c7-9390-5fb685e3958b · inbound
Evaluation of Automatic Speech Recognition Using Generative Large Language Models cites this paper.
Evaluation of Automatic Speech Recognition Using Generative Large Language Models Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:36:08.437134Z
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 31ac5f47-ce76-4cba-9606-476ac477e46b · inbound
Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation cites this paper.
Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T07:33:13.679947Z
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.