Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.16204.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:51.885479Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:09:26.761221Z
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 f7362b89-018e-4636-8bbb-7dd134560074 · inbound
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection cites this paper.
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:38:51.885479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac01e549-b32c-41e1-85cc-3ace96896a1f · inbound
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection cites this paper.
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:09:26.859636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ab2b9bbb-e19f-4f99-bc8a-17a3c60f3d3b · inbound
Mental Health Disorder Detection Beyond Social Media: A Systematic Review of Available Datasets cites this paper.
Mental Health Disorder Detection Beyond Social Media: A Systematic Review of Available Datasets Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:45:45.948094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.