Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10446.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:03:05.224606Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:21:56.367062Z
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 3232f7e6-2fef-451f-bda3-fb09b0f38c1c · inbound
MaskClip: Detachable Clip-on Piezoelectric Sensing of Mask Surface Vibrations for Real-time Noise-Robust Speech Input cites this paper.
MaskClip: Detachable Clip-on Piezoelectric Sensing of Mask Surface Vibrations for Real-time Noise-Robust Speech Input Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:03:05.224606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a57deff4-d3cb-43a9-84bc-d3e5a4572d49 · inbound
Leveraging LLM for Stuttering Speech: A Unified Architecture Bridging Recognition and Event Detection cites this paper.
Leveraging LLM for Stuttering Speech: A Unified Architecture Bridging Recognition and Event Detection Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:21:56.442307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.