Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.15772.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:11.715203Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:13:14.890243Z
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 23b6b620-f613-468f-8eda-3ce503532f3a · inbound
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance cites this paper.
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:11.715203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d357671-0b97-4d9d-b28d-1a86b61629b1 · inbound
Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection cites this paper.
Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:13:14.922747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.