Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.05361.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:37:50.130442Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T03:37:35.623309Z
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 8a25c838-5bc8-45ad-8f6d-ed1de42cfdf1 · inbound
Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding cites this paper.
Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:08:47.384656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2ca38b02-2c1c-41ab-bf25-a25f15bdf68d · inbound
RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity cites this paper.
RA-QA: A Benchmarking System for Respiratory Audio Question Answering Under Real-World Heterogeneity RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:37:50.130442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 476899b8-1805-4713-981f-51c8bfb5e94f · inbound
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification cites this paper.
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T03:37:35.624816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.