Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.14385.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:40.985188Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:47:38.714357Z
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 da73768f-0dde-48bd-a8b3-0dd025ad9474 · inbound
LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties cites this paper.
LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T06:39:01.502819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56f84bc2-7637-4f99-bc9a-29d8bcebd3b8 · inbound
Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models cites this paper.
Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:40.985188Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44363fd6-c2fd-4d09-a6df-c98417eb09d2 · inbound
SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations cites this paper.
SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:52.270528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 275562c5-d728-44f9-b44b-315e2d79abd0 · inbound
A Gold Standard Dataset and Evaluation Framework for Depression Detection and Explanation in Social Media using LLMs cites this paper.
A Gold Standard Dataset and Evaluation Framework for Depression Detection and Explanation in Social Media using LLMs Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:54:37.938619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 832ea5bf-7b0c-4fde-a645-b7bf54d55295 · inbound
Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning cites this paper.
Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:47:38.715728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.