Paper Citation Record · LEDGER

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2501.01305.

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

pith.paper-citation-record.v1
2501.01305 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:33:29.182028Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:03.800753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:51:27.132578Z

Reference resolution

29 of 29 outbound references displayed

verified exact2
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 195ec03c-b163-4ee9-bd57-7adb06603975 · outbound

This paper cites Large language models in medicine.

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.493705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39ae2d5f-46d2-41b9-8922-7c7248a58ff3 · outbound

This paper cites an unresolved cited work.

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:33:30.313589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69832300-ec38-464d-a002-21e9ce22482e · outbound

This paper cites Benefits, limits, and risks of gpt-4 as an ai chatbot for medicine.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Benefits, limits, and risks of gpt-4 as an ai chatbot for medicine

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.300651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 825efaa5-b4dc-4f1a-a3c8-d3df700cc160 · outbound

This paper cites Use of the patient health questionnaire (phq-9) in practice: Interactions between patients and physicians.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Use of the patient health questionnaire (phq-9) in practice: Interactions between patients and physicians

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.226233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ca20929-638d-4a2b-b115-e6b15573ed24 · outbound

This paper cites Psychometric properties of the general anxiety disorder 7-item (gad-7) scale in a heterogeneous psychiatric sample.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Psychometric properties of the general anxiety disorder 7-item (gad-7) scale in a heterogeneous psychiatric sample

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.211500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c6b87bc-9689-4e17-a733-6366bfe5c7ee · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730–27744, 2022.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730–27744, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.189325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbd5330d-9caa-43ea-bdda-fb040c22d43c · outbound

This paper cites Language models are few-shot learners.

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.519405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e876bfe7-26f3-4d2c-af41-4db5a33a4ccf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Chain-of-thought prompting elicits reasoning in large language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.523201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902f4f6e-5324-4c6e-bafe-55153b4e4a99 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Direct preference optimization: Your language model is secretly a reward model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.527136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c955c7-00dc-419c-b569-805abd8c4210 · outbound

This paper cites Mentallama: interpretable mental health analysis on social media with large language models.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Mentallama: interpretable mental health analysis on social media with large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.118260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9096f21e-1bf4-43ce-a42b-610e249c44e0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case LLaMA: Open and Efficient Foundation Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.534434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3838e6c9-48b9-4a8a-99fd-cb9016b1a47c · outbound

This paper cites Mixtral of Experts.

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.537984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47303f21-43fa-4d92-befc-02010fc5d5fe · outbound

This paper cites DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:33:29.312968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0056c12-1edd-44d5-9ac0-c942f1d89286 · outbound

This paper cites Explaining models of mental health via clinically grounded auxiliary tasks.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Explaining models of mental health via clinically grounded auxiliary tasks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.105241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5250c302-2d8a-468f-8804-50da655bbcaa · outbound

This paper cites Proceedings of the 9th workshop on computational linguistics and clinical psychology (clpsych 2024).

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Proceedings of the 9th workshop on computational linguistics and clinical psychology (clpsych 2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.092842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcab924a-6066-45ba-9de4-88505000b333 · outbound

This paper cites Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:30.024778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09c009b2-434d-4e3c-8dab-6fe6a3980ce8 · outbound

This paper cites Mistral 7B.

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.768065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8514464-645a-445f-a9f9-547298c454e0 · outbound

This paper cites A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:33:29.237612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f5490aa-5207-4e10-8737-3e01dcf2f9c8 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:28.775881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c56491-f3f3-47b7-a7d9-959d1ed2e843 · outbound

This paper cites Mentalbert: Publicly available pretrained language models for mental healthcare.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Mentalbert: Publicly available pretrained language models for mental healthcare

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.996557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef768423-b2f5-4105-99c4-9c58bb0b278f · outbound

This paper cites Process knowledge-infused learning for clinician-friendly explanations.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Process knowledge-infused learning for clinician-friendly explanations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.983195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3fbedd6-3a86-44b6-9a5b-b5a6a6d55e5b · outbound

This paper cites Overview of the clpsych 2022 shared task: Capturing moments of change in longitudinal user posts.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Overview of the clpsych 2022 shared task: Capturing moments of change in longitudinal user posts

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.905295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4563e50-03c5-4b08-ae2c-f6fab4618963 · outbound

This paper cites Proknow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Proknow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.835697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf46c370-8a6f-4f86-9682-f7cda8bff948 · outbound

This paper cites Knowledge-intensive language understanding for explainable ai.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Knowledge-intensive language understanding for explainable ai

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.737232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fac02d84-b7ca-4aa5-bd8e-a8d10badf07a · outbound

This paper cites Process knowledge-infused ai: Toward user-level explainability, interpretability, and safety.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Process knowledge-infused ai: Toward user-level explainability, interpretability, and safety

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.622595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5733277e-4b61-44bb-b289-e4af44da614b · outbound

This paper cites Neurosymbolic artificial intelligence (why, what, and how).

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Neurosymbolic artificial intelligence (why, what, and how)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:29.007520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7ec555-e571-4cb1-99cd-9eef61b5b212 · outbound

This paper cites Neurosymbolic value-inspired artificial intelligence (why, what, and how).

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Neurosymbolic value-inspired artificial intelligence (why, what, and how)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.570209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b4bd805-6504-47f7-af67-bc2f01069221 · outbound

This paper cites Civilizing and humanizing artificial intelligence in the age of large language models.

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case Civilizing and humanizing artificial intelligence in the age of large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.435255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34b3f573-0646-40e6-a33c-32c240228bbf · outbound

This paper cites p o s t _ t i t l e.

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:33:29.422657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 1ff6979b-51ba-4795-86ce-7138aa772438 · inbound

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data cites this paper.

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:03.800753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bee19c9-f6d6-4f32-a040-b319772e2104 · inbound

Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness cites this paper.

Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:27.136935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.