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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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.

source=pdf_text observed=2026-08-06T13:07:27.626612Z digest=sha256:41ca3b2d2eda7fe527ede83e212c6e5659d39c42f836752afbd350269e4afb3d

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.

source=pdf_text observed=2026-08-03T09:35:17.457153Z digest=sha256:811e8dc6cbe0ed2b033b41a10df2e89227d376d4768443207a7a26560ca8b6c5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:59:19.305200Z digest=sha256:2c03068686bacf1c5763a0bfb627d48cf9a777e43a29c7906fd7b0135498745f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T17:52:38.238603Z digest=sha256:876c4c572eeed7c3623f8c3f1ea1422150a361d6b796afe8188f4b5430b5def1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:35:42.477335Z digest=sha256:f530282300244ba6179358354efc20cb14ddba3c9c54e1aaac2f590e28df52bf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T00:27:41.609691Z digest=sha256:bf94e10b4a57c5f78abf966981a7480a0f99e5299edd526e3dd3ba645457c131