Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.03183.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:56:52.026432Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T14:53:55.737392Z
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 1c2aba40-a6ac-49f4-bc82-b47b16aa1f0c · inbound
LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model cites this paper.
LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:56:52.026432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68ee057e-8f93-4c68-8492-a4431557e16e · inbound
SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models cites this paper.
SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T14:53:55.739204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a3493da3-643c-4812-a2c6-07c005deb742 · inbound
Fusion Embedding: A Unified Embedding Space for Text, Image, Video, and Audio cites this paper.
Fusion Embedding: A Unified Embedding Space for Text, Image, Video, and Audio Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:46:35.599874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.