Paper Citation Record · LEDGER

Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.08824.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.08824 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:07:27.626612Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 100cbd00-c651-4570-a040-0f104650aa21 · inbound

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions cites this paper.

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T13:07:27.626612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cc538dc-1492-43dc-8c3a-ee7399e46673 · inbound

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement cites this paper.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T09:35:17.457153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4226f588-f012-43f9-a30e-48b76615a273 · inbound

GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos cites this paper.

GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:03:25.448163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ff3b804-247f-409a-a7bd-46c5fd04d431 · inbound

PriorNet: Prior-Guided Engagement Estimation from Face Video cites this paper.

PriorNet: Prior-Guided Engagement Estimation from Face Video Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.756534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a22ed7ff-2886-4560-9713-f59121074794 · inbound

Not Every Subject Should Stay: Machine Unlearning for Noisy Engagement Recognition cites this paper.

Not Every Subject Should Stay: Machine Unlearning for Noisy Engagement Recognition Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:26:06.764293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88d00838-1c9e-48d6-999a-f72d8a197980 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey

Reference 238

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:28:42.917059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.