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Paper Citation Record · LEDGER

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.06859.

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

pith.paper-citation-record.v1
2501.06859 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:55:09.406404Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:51:39.687985Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:16:16.768632Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f5a4205-1f3b-4e67-aa5c-0ba9a7b41438 · outbound

This paper cites Depression, 2023.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Depression, 2023

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:10.027863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.232365Z digest=sha256:f180189bb1a18893ab2e66a4ff081a331802e74cf49aee74f6760e6d3bc9d528

Observation 2c58d3f8-e1cf-463f-929e-7aecad5487bb · outbound

This paper cites Anxiety disorders, 2022.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Anxiety disorders, 2022

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:10.013109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.237869Z digest=sha256:58fdf73941546313034a083591675dc058dde8dfeb25d6088f979811fe63bef7

Observation 578b6894-cf17-411f-ac73-dd496d783f15 · outbound

This paper cites World Health Organization, Geneva, 2022.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context World Health Organization, Geneva, 2022

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.997867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.242691Z digest=sha256:a728b8b46f4cab1046fe9de6d82999a0c17623d946ed3cece6a16bd1a3ada4cd

Observation 0155c633-f7ac-4481-8374-2991d9320e87 · outbound

This paper cites Challenges of health care in the middle east and north africa.https://www.arabbarometer.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Challenges of health care in the middle east and north africa.https://www.arabbarometer

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.983844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.247942Z digest=sha256:967a3cd85f0edba6053a1db9bc19350f5c2cf86ff3a5c5e1d4534378a858f2b0

Observation 8290e282-59af-4ebe-9d7c-4784499c2fe1 · outbound

This paper cites Depressioninpublicservantsofupperegypt: Gender-specific prevalence and determining factors.Journal of Prevention, 43:623–638, 2022.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Depressioninpublicservantsofupperegypt: Gender-specific prevalence and determining factors.Journal of Prevention, 43:623–638, 2022

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.968308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.252872Z digest=sha256:20dd135e934b9a1f3a99b0b94d3128cd75e86ae5b0cd1077e92d1bace27e26c6

Observation be345b9f-e482-44e0-b117-74d58a991b83 · outbound

This paper cites Depression and other common mental disorders: Global health estimates.https:// iris.who.int/bitstream/handle/10665/254610/WHO-MSD-MER-2017.2-eng.pdf?sequence=1, 2017.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Depression and other common mental disorders: Global health estimates.https:// iris.who.int/bitstream/handle/10665/254610/WHO-MSD-MER-2017.2-eng.pdf?sequence=1, 2017

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.953072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.258239Z digest=sha256:e751cab4e6105365ada300ec1ee4b1e4273b64407085876ad15c4a80927f13b1

Observation d7da474d-0213-4f04-a1aa-5f3a1c0b3182 · outbound

This paper cites an unresolved cited work.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:55:09.937602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.263438Z digest=sha256:a55b53fc320f310b29fd1e503dbb564325e4951469833d974d75e3f13e1f51f5

Observation 8950c654-451f-405d-97d7-e8ffd64b7887 · outbound

This paper cites Mental health atlas.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Mental health atlas

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.920604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.268096Z digest=sha256:ce381ebd06c9db8b7a3886ae825b026dd4130d782f4a71c93ab561cbcebb4b8d

Observation 31cfb7a8-ca8f-4592-baf4-c41361aa4a87 · outbound

This paper cites Mental health discourse on reddit: Self-disclosure, social support, and anonymity.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Mental health discourse on reddit: Self-disclosure, social support, and anonymity

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.904185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.272812Z digest=sha256:f378b9481085cf52c70e962e2d72b53c8b7694705f4d7d5ef47f8906a3658d6e

Observation 691d52b0-4a0f-4542-8716-9f94f4df328c · outbound

This paper cites Detecting depression and mental illness on social media: an integrative review.Current Opinion in Behavioral Sciences, 18:43–49, 2017.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Detecting depression and mental illness on social media: an integrative review.Current Opinion in Behavioral Sciences, 18:43–49, 2017

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.887280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.277416Z digest=sha256:baee7f9c3dbb1007745c8d1cf060dd3f89f011f0bf35aa20ab4dc134b52f5220

Observation 887cbe97-d5db-4b50-a1bb-598132747cfe · outbound

This paper cites QuantifyingmentalhealthsignalsinTwitter.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context QuantifyingmentalhealthsignalsinTwitter

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.869143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.282029Z digest=sha256:c47af7893a3b79dbdb4065df06ad1b7e0ea16927f03ae3d59069321156a24402

Observation 5720bdea-e1bb-4023-a3af-55b9a9969ffc · outbound

This paper cites an unresolved cited work.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:55:09.853543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.286567Z digest=sha256:a89d3cdebe45428380cb932269df76a9587875bc585e439153d002ee3c0cc079

Observation 1c04e29d-d125-4b69-8715-9a4536896e2b · outbound

This paper cites Machinelearningandnaturallanguage processing in mental health: systematic review.Journal of Medical Internet Research, 23(5):e15708, 2021.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Machinelearningandnaturallanguage processing in mental health: systematic review.Journal of Medical Internet Research, 23(5):e15708, 2021

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.838231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.292222Z digest=sha256:89c767705c83eba95a9067be2e6e4fa1770caea7c08f3566cb893dcae6582be7

Observation 14ab4a12-c08e-4a9c-94f0-6c303b1b3d7d · outbound

This paper cites GPT-4 Technical Report.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context GPT-4 Technical Report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:09.297123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:09.297123Z digest=sha256:f5b3616aa011f3c9d82ab4f819c9bdd526c1e66ffed82986767d03130c0e15e3

Observation b7b62236-f3cd-4f2b-9b0e-7790a83f97da · outbound

This paper cites Natural language processing in mental health applications using large-scale text analysis.Journal of Medical Internet Research, 19(5):e240, 2017.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Natural language processing in mental health applications using large-scale text analysis.Journal of Medical Internet Research, 19(5):e240, 2017

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.822074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.301918Z digest=sha256:293d940dd2eba892c3231473f3351da206c5b70e100596ae05389601aa3c986b

Observation 758ab605-9c9c-4c8b-be9a-b26c359fbdba · outbound

This paper cites an unresolved cited work.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:55:09.806313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.306665Z digest=sha256:ac3d243dfa8fe21942880a8eca8dc329a91d3363da3ed09f0a4941d7126174b5

Observation d90579ac-c4e2-4b28-a37d-c004f7da121f · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature Machine Intelligence, 1:206–215, 2019.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature Machine Intelligence, 1:206–215, 2019

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:09.310986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:09.310986Z digest=sha256:44fd2309e8520df02c11dcfdb77de84960a16716b260a1894b1d4e668b2b3b2e

Observation ea178bb0-a6f3-4ed3-bdef-70b87822c4e0 · outbound

This paper cites A comprehen- sive evaluation of large language models on mental illnesses.arXiv preprint, 2024.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context A comprehen- sive evaluation of large language models on mental illnesses.arXiv preprint, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.779344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.315404Z digest=sha256:ed48a7a72e8bdf02cbc7a5e47cdb9a2be53bdeb7b12a4f9f5184a0b074900bf8

Observation e609d182-523b-4296-ab4b-26de2465ce5b · outbound

This paper cites Mental-llm: Leveraging large language models for mental health prediction via online text data.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Mental-llm: Leveraging large language models for mental health prediction via online text data

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.763890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.320059Z digest=sha256:310580518eecbf9f33c5bd3b241cd29d0702947fa1e32d5190878b15de6b20e9

Observation 90f15358-70f3-416f-bee4-6b60a31c1945 · outbound

This paper cites BiMediX: Bilingual Medical Mixture of Experts LLM.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context BiMediX: Bilingual Medical Mixture of Experts LLM

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:09.324739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:09.324739Z digest=sha256:6517b5815a6e168d51c18d67635a0e2868127a4b1a6d82e7f2d44b401ad1c8c1

Observation 80faa98d-920d-42ff-9c86-11e8fcd580d6 · outbound

This paper cites Arabiangpt: Native arabic gpt-based large language model, 2024.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Arabiangpt: Native arabic gpt-based large language model, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.748132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.329548Z digest=sha256:a1367c5757ee96a863975ed0e5d2ca9c82f1fd67d82bf4ea5aa1afa5c6814f5e

Observation 83ac284b-2c6a-467c-86b3-8d6b68cd58cf · outbound

This paper cites Depression corpus of arabic tweets, 2022.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Depression corpus of arabic tweets, 2022

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.733775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.333787Z digest=sha256:94ae76332eb761306d1efbfe68f87d122f6ae068ecc7ad58da2aa28112e9b407

Observation 4fa5d833-59dd-4d97-906e-73181be1b23b · outbound

This paper cites Modern standard arabic mood changing and depression dataset.Data in Brief, 41:107999, 2022.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Modern standard arabic mood changing and depression dataset.Data in Brief, 41:107999, 2022

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.718705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.338032Z digest=sha256:04ebf0668b5541b7c3a78ed870dc20947f9cc7d6d81d4541466a54310614f39f

Observation 988ae897-2c23-43b5-9d9e-8e10660c5dfa · outbound

This paper cites Aradepsu: Detecting depression and suicidal ideation in arabic tweets using transformers.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Aradepsu: Detecting depression and suicidal ideation in arabic tweets using transformers

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.704133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.342551Z digest=sha256:89a615e7b23b4b3fb6f65b18662be06d40f297a0d2c67dfdffb01ee85d183b93

Observation d5cd6d7a-4ae8-4816-97ab-8ce5581206ce · outbound

This paper cites Cairodep: Detecting depression in arabic posts using bert transformers.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Cairodep: Detecting depression in arabic posts using bert transformers

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.688894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.347068Z digest=sha256:396d5a297d9dc49f789b7025f9ca6d8730ed5009fbe5b6c98b3a07795d2b91c4

Observation 90bec8da-a41a-4df5-929e-b96a3ff0d051 · outbound

This paper cites Transfer learning-based automatic sentiment annotation of a twitter-based arabic mental illness (ami) dataset, 2023.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Transfer learning-based automatic sentiment annotation of a twitter-based arabic mental illness (ami) dataset, 2023

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.673863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.351540Z digest=sha256:2bcafe78f046ec4ac282c98ad9d5f7b2f37b8ffaafbf6cf942e363cd045a2ea1

Observation 279e8d7d-b79f-44c8-a799-ae630329bd55 · outbound

This paper cites Mental health supportive application.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Mental health supportive application

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.658647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.355974Z digest=sha256:9dcf3982e4ec02f4650850084cc85093f776ad2cf22889987d67817bbecfd7c6

Observation 4b89466f-b54f-408d-b161-c394f03078dd · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:09.360559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:09.360559Z digest=sha256:8a98856cbee3183146209a27809117af350d59bdf31f1e03dbbd7013ea1a9b2f

Observation 07312b66-7a58-41fa-980f-620f12c59e2a · outbound

This paper cites Hosni Mahmoud, Ajith Abraham, Samar Awadh Alanazi, and Laura García- Hernández.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Hosni Mahmoud, Ajith Abraham, Samar Awadh Alanazi, and Laura García- Hernández

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.642218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.365287Z digest=sha256:88cf74b93de300ef9bbcff56054555554cc923cadbea81c3779e7ace06c2b725

Observation 4f261512-23fc-4076-880a-89ea23879052 · outbound

This paper cites Detecting arabic depressed users from twitter data.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Detecting arabic depressed users from twitter data

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.624633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.369684Z digest=sha256:a33c8f05a89223239031d68aa2f0b0599b1340732eb7ba7924520edf00a0bea1

Observation b7719bf7-ea27-4764-8a7d-ae2283d1b75b · outbound

This paper cites an unresolved cited work.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:55:09.608515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.374194Z digest=sha256:57d34a2100ac2c1f5e361e3be8bbbf930e9fa87aaf3df92a413855cc12df61ca

Observation 6eb53112-5cbd-41a4-90c9-cb97c898a43e · outbound

This paper cites Prediction of depressed arab women using their tweets.Journal of Decision Systems, 30(2-3):102–117, 2021.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Prediction of depressed arab women using their tweets.Journal of Decision Systems, 30(2-3):102–117, 2021

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.590639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.378473Z digest=sha256:15418cc7f4e7f417381aded33fd45c1e2c663b435a78ab9a1fe25556d4228f0e

Observation 837e1368-4433-44fa-856c-777f35bd6a76 · outbound

This paper cites Dreaddit: A Reddit Dataset for Stress Analysis in Social Media.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:09.382911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:09.382911Z digest=sha256:828038b5929a398b4093c38062ecc0fe0f1fb15ba57f49b82a824ffb7c1f88b9

Observation 998957f2-d995-4303-9b73-76379b640cbd · outbound

This paper cites Deep learning for suicide and depression identification with unsupervised label correction.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Deep learning for suicide and depression identification with unsupervised label correction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.572905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6844ce87-befd-4663-a720-6f20fa36af03 · outbound

This paper cites Sad: A stress annotated dataset for recognizing everyday stressors in sms-like conversational systems.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Sad: A stress annotated dataset for recognizing everyday stressors in sms-like conversational systems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.557183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 936c7b2e-1225-415d-88d8-c17b75cb8477 · outbound

This paper cites Deptweet: A typology for social media texts to detect depression severities.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Deptweet: A typology for social media texts to detect depression severities

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.541738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3b604f54-5f90-4211-9fcd-2eb8afa9375c · outbound

This paper cites Data set creation and empirical analysis for detecting signs of depressionfromsocialmediapostings.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Data set creation and empirical analysis for detecting signs of depressionfromsocialmediapostings

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:55:09.526006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b9c35af3-1c97-4249-96eb-675f992851f9 · outbound

This paper cites No Disorder.

A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context No Disorder

Reference 38

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T20:55:09.508390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:55:09.406404Z digest=sha256:14654bca1719e3e4d9d0e1e05fa23e26ec42940bcf7e7eb772cb5a283d3fd001

Pith citing papers

Observation 8f2fe22d-4e33-4853-ba43-6e7b00d73509 · inbound

A Comprehensive Review of Datasets for Clinical Mental Health AI Systems cites this paper.

A Comprehensive Review of Datasets for Clinical Mental Health AI Systems A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context

Reference 171

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:51:39.798282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T20:51:39.687985Z digest=sha256:8450cc856b9bb2ed9ef73152372ca2deb5b8dd2b433c9327e20eeff9a4992448