Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations
As of 2 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2501.10370.
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 2026-08-02T06:30:47.504484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T12:36:05.547383Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T12:40:00.380440Z
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 67faaf00-7d29-49db-bef1-87f6a48f4aef · inbound
From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing cites this paper.
From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:40:00.382432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.