Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robustness assessment of large audio language models in multiple-choice evaluation
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2510.04584.
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 2026-08-04T06:34:03.388597+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: pith, 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 49bb2e9d-88ae-4555-8360-4846a9139db7 · inbound
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook Robustness assessment of large audio language models in multiple-choice evaluation
Reference 147
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T02:18:11.179848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation af7227b8-3b48-4510-864f-4cd11dc8a227 · inbound
Is Text All You Need? Text as a Universal Information Bottleneck for Speech LLMs cites this paper.
Is Text All You Need? Text as a Universal Information Bottleneck for Speech LLMs Robustness assessment of large audio language models in multiple-choice evaluation
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T01:37:30.595468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 470046cb-a9c4-465c-8e1c-8c850675b5d9 · 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 Robustness assessment of large audio language models in multiple-choice evaluation
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T22:15:05.646311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.