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Paper Citation Record · LEDGER

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2606.21474.

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

pith.paper-citation-record.v1
2606.21474 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:17:41.797761Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5995e9e4-5152-49aa-bdca-9da1a5c59ebe · outbound

This paper cites Toward explainable AI (XAI) for mental health detection based on language behavior.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Toward explainable AI (XAI) for mental health detection based on language behavior

Reference 1

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no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 204ff193-db6b-40db-a935-795d20682c54 · outbound

This paper cites SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques

Reference 2

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no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:35fbd73c0a7f3c5e875212b2390f2979ce11958479523a80a5cb40f986311215

Observation f41d5cd9-9507-482e-bf77-669070c034bf · outbound

This paper cites an unresolved cited work.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:57e2021262d34a4bb0a960395db20fa780069cc751115548f3b6bd5b6a269d83

Observation 970d9ae2-2c68-483e-8938-2f5690eab464 · outbound

This paper cites Techniques of Explainable Artificial Intelligence and Machine Learning in Digital Mental Health Intervention.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Techniques of Explainable Artificial Intelligence and Machine Learning in Digital Mental Health Intervention

Reference 4

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:1ce6d346b64ab28129683cbef0b1e6c74d66952c184322fffd457390cf915e65

Observation 3bce33e7-baec-48ec-adda-7552ba82e409 · outbound

This paper cites Effective depression detection and interpretation: Integrating machine learning, deep learning, language models, and explainable AI.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Effective depression detection and interpretation: Integrating machine learning, deep learning, language models, and explainable AI

Reference 5

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:46b0cf080dccc498a07047761e4703e3d43f799a6971f0522669923923429e23

Observation e11b7efb-d6bf-4e57-9fb1-dd109d34e580 · outbound

This paper cites Explainable Depression Detection Using Social Media Data.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Explainable Depression Detection Using Social Media Data

Reference 6

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:c778fcc5f9166fbf016da272a93a5aeb86d18ee4e46ce94a9dcccec35e02b423

Observation 85179e52-1feb-414c-8605-a04143c09697 · outbound

This paper cites Explainable depression detection based on facial expression using LSTM on attentional intermediate feature fusion with label Smoothing.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Explainable depression detection based on facial expression using LSTM on attentional intermediate feature fusion with label Smoothing

Reference 7

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no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:c259be6fb5743f3072e0a60ec0d743561ce28778350cdb131eac7f1020813da2

Observation f12f89db-536a-4e83-8ae3-f17086e103d1 · outbound

This paper cites Fusion fuzzy logic and deep learning for depression detection using facial expressions.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Fusion fuzzy logic and deep learning for depression detection using facial expressions

Reference 8

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:f63545df289ab63ab4317ed8e3c57dfbaff6d86a1fcb096837a44d67206a1264

Observation 5d90664d-ef43-4dad-a818-c4e9965a23ae · outbound

This paper cites A Short Review on Diagnosing and Predicting Mental Disorders with Machine Learning.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data A Short Review on Diagnosing and Predicting Mental Disorders with Machine Learning

Reference 9

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:4e0b047b3029d5d455f7a6f382816df742c8531aa395110d5326a088f40720b3

Observation c0b89251-f1c3-409d-8bb1-242ccdc62d5d · outbound

This paper cites Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks

Reference 10

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:c80bfb7824b586599a3effa87fa966646e80284c456b145fc7c2e4ec42c154ea

Observation 10e9d99e-ae67-40f6-8b6a-d49a8c9f1666 · outbound

This paper cites QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals

Reference 11

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no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:457d1860cb4fbefc7e43415fa407f24f769f12325b254a98be52f07d2fc79525

Observation 0f9c29bd-d676-45d3-8503-678e50dbe852 · outbound

This paper cites Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook

Reference 12

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verified exact
local_arxiv, observed 2026-07-04T06:39:38.027221Z

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=2026-06-26T14:17:41.797761Z digest=sha256:5dcd7deada985d775420f1df93f5350dad0016603677139f563f7beb01811d30

Observation fdaef9a1-6432-42ef-94e2-4175dfdcdcc6 · outbound

This paper cites More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients

Reference 13

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verified exact
arxiv_id, observed 2026-07-04T06:39:38.035348Z

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=2026-06-26T14:17:41.797761Z digest=sha256:ec377ab92f270e15fff229c9e17ea679c01e62c8f5cde94c5c9af91941526b75

Observation 3124ccc4-7c93-4103-8afb-d53511ad29b3 · outbound

This paper cites Detecting anxiety and depression in dialogues: a multi-label and explainable approach.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Detecting anxiety and depression in dialogues: a multi-label and explainable approach

Reference 14

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verified exact
arxiv_id, observed 2026-07-04T06:39:38.032375Z

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=2026-06-26T14:17:41.797761Z digest=sha256:1ce71a55738479a11de554ba9a75704b4e04c78d433a2c9cb227471cffcfec7a

Observation c40e736a-dd33-4471-bdfe-6cea1011428a · outbound

This paper cites Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder

Reference 15

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verified exact
local_arxiv, observed 2026-07-04T06:39:38.029602Z

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=2026-06-26T14:17:41.797761Z digest=sha256:e03c892926b9dc3c6180ad2d17ff4c1ddd115ab6beb680711c0b618c5caf7f8f

Observation cf9a7edc-22b6-42e6-95e7-9b8a347cd641 · outbound

This paper cites Predicting life satisfaction using machine learning and explainable AI.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Predicting life satisfaction using machine learning and explainable AI

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:17:41.797761Z digest=sha256:316c74002ad774019576a372709795441c54ca3bb9c5ead203e1065146328314

Observation b4d552ea-e507-44dc-acbf-94a4bfc3d360 · outbound

This paper cites Ethical Considerations in Utilizing Machine Learning for Depression and Anxiety Detection in College Students.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Ethical Considerations in Utilizing Machine Learning for Depression and Anxiety Detection in College Students

Reference 17

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Observation b600e4bf-025b-4615-9878-51eb57566fe3 · outbound

This paper cites an unresolved cited work.

Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-06-26T14:17:41.797761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.