Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Audio-Aware Large Language Models as Judges for Speaking Styles
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2506.05984.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T22:11:44.891731Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
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 e329342d-cbbb-428f-8d72-7cb0cac8f484 · inbound
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models cites this paper.
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models Audio-Aware Large Language Models as Judges for Speaking Styles
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:52:35.677607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 28fd3e27-1afb-49b1-aa3a-c8274b0c770e · inbound
NVBench: A Benchmark for Speech Synthesis with Non-Verbal Vocalizations cites this paper.
NVBench: A Benchmark for Speech Synthesis with Non-Verbal Vocalizations Audio-Aware Large Language Models as Judges for Speaking Styles
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:47:12.959163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5ef85fb7-9c1b-4e1c-a98a-de4754aa107d · inbound
Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.
Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents Audio-Aware Large Language Models as Judges for Speaking Styles
Reference 218
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T22:15:05.705501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.