Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.15684.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:55:14.835017Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:17:36.002764Z
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 aa5551b8-3f13-456a-8df6-ef3a1c1a99c3 · inbound
Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection cites this paper.
Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:55:14.835017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40a23b92-5107-4603-a695-144b86444958 · inbound
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech cites this paper.
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:17:36.061435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.