Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.15810.
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 2026-08-07T14:52:49.984020Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T19:33:44.422568Z
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 fdfab288-2a41-4a20-bc27-379103027260 · inbound
Cognitive Architectures for Language Agents cites this paper.
Cognitive Architectures for Language Agents Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:33:44.425987Z
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.
Observation 31691142-8205-40ee-9e7f-56857a6252dd · inbound
Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.
Large Language Model based Multi-Agents: A Survey of Progress and Challenges Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:58:56.104174Z
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.
Observation 50989653-0db2-4a13-9a94-8c5b62125e7e · inbound
AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing cites this paper.
AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:49.984020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.