Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.13276.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:35.384805Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:11:49.215323Z
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 5561c612-2069-4247-a4a7-4bec16dd9b9d · inbound
Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction cites this paper.
Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:23:35.384805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01af7eaa-2dc5-47ca-9f3f-43e76e4097e7 · inbound
CASPER: A Large Scale Spontaneous Speech Dataset cites this paper.
CASPER: A Large Scale Spontaneous Speech Dataset When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:11:49.271166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.