Paper Citation Record · LEDGER

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2412.03796.

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

pith.paper-citation-record.v1
2412.03796 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:09:14.190463Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:36:31.695964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:01:12.327375Z

Reference resolution

42 of 42 outbound references displayed

verified exact2
verified fuzzy27
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9a760ee-0909-4fe4-92fa-4d066703f2ee · outbound

This paper cites Diagnostic and Statistical Manual of Mental Disorders: DSM-5-TR.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Diagnostic and Statistical Manual of Mental Disorders: DSM-5-TR

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.844716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 04c81b0d-1120-44b1-bcd8-a469ae56a1ee · outbound

This paper cites Depression, 2023.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Depression, 2023

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:13.990396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4a9c09-1ac2-4b69-83bd-61f95b8453ac · outbound

This paper cites Anxiety disorders, 2022.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Anxiety disorders, 2022

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:13.998370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85658193-cb02-4b5d-9527-1d68a42ca3d1 · outbound

This paper cites World Mental Health Report: Transforming Mental Health for All.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models World Mental Health Report: Transforming Mental Health for All

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.811206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 83b2ec5c-07e7-43b8-8af0-f20b796e7dca · outbound

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

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Mental health discourse on reddit: Self-disclosure, social support, and anonymity

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.795823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 530632fd-0ba1-49fe-bfca-c939e2c45989 · outbound

This paper cites Quantifying mental health signals in Twitter.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Quantifying mental health signals in Twitter

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.780726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 758a572c-f753-475f-bbad-d46a7a263000 · outbound

This paper cites Detecting depression and mental illness on social media: an integrative review.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Detecting depression and mental illness on social media: an integrative review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.756858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b997bfde-1fce-4474-b69c-312e7008c030 · outbound

This paper cites Beyond LDA: Exploring supervised topic modeling for depression-related language in Twitter.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Beyond LDA: Exploring supervised topic modeling for depression-related language in Twitter

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.741859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe428ba6-9c28-46ff-a23a-8da3488c46da · outbound

This paper cites From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.726622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91a21aa7-f02b-43ef-a198-743527cb5bc0 · outbound

This paper cites Birnbaum, Eric D.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Birnbaum, Eric D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.711655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32544ea5-17f1-4fba-8a91-43ba5511edea · outbound

This paper cites Andrew Schwartz.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Andrew Schwartz

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.697005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d314bb4a-eba1-4446-8537-df0834dfa1a6 · outbound

This paper cites Language Models are Few-Shot Learners.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Language Models are Few-Shot Learners

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.048458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9162820d-b793-4d64-bfe4-07fb1b6dd7ed · outbound

This paper cites Language models for online depression detection: A review and benchmark analysis on remote interviews.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Language models for online depression detection: A review and benchmark analysis on remote interviews

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.681221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa751aeb-56c2-49d5-9c73-6aadd11361c0 · outbound

This paper cites Explainability for large language models: A survey, 2023.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Explainability for large language models: A survey, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.667068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59073bbe-70a9-4b95-bcd1-a24260c294db · outbound

This paper cites From understanding to utilization: A survey on explainability for large language models, 2024.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models From understanding to utilization: A survey on explainability for large language models, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.653996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d740e75f-8ff1-4dd0-9f47-989d4cac2dcb · outbound

This paper cites Trustworthy llms: a survey and guideline for evaluating large language models’ alignment, 2024.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Trustworthy llms: a survey and guideline for evaluating large language models’ alignment, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.640306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12029c1c-dc6b-4a11-9e09-13ee47320626 · outbound

This paper cites Deep learning-based depression detection from social media: Comparative evaluation of ml and transformer techniques.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Deep learning-based depression detection from social media: Comparative evaluation of ml and transformer techniques

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.626835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9d146287-e4be-4590-80d2-1156aec0b5b5 · outbound

This paper cites Bryson, and Arvind Narayanan.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Bryson, and Arvind Narayanan

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.077036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0fd75cc-2bc2-4d4b-a2ec-6b33e6e9b671 · outbound

This paper cites Large language models for data annotation: A survey, 2024.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Large language models for data annotation: A survey, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.602413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 16bf684e-d388-4bb2-9954-0539cc81dfc9 · outbound

This paper cites Data-free multi-label image recognition via llm-powered prompt tuning, 2024.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Data-free multi-label image recognition via llm-powered prompt tuning, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.587561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df23769e-60a7-4f6f-8052-c7f7f51b3517 · outbound

This paper cites Definitions matter: Guiding GPT for multi-label classification.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Definitions matter: Guiding GPT for multi-label classification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.572175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d0a51e8-cdcb-418d-9865-2f69fc322ddd · outbound

This paper cites Comprehensive Comparative Study of Multi-Label Classification Methods.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Comprehensive Comparative Study of Multi-Label Classification Methods

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:09:14.335461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73251cd5-c109-48ed-9ee1-bde386b3a1bc · outbound

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

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.104439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9954d0-5cc6-4d8e-80a7-971b45b89022 · outbound

This paper cites Early identification of depression severity levels on reddit using ordinal classification.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Early identification of depression severity levels on reddit using ordinal classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.555023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5d24b420-2ba2-466e-88b3-de2a4204010d · outbound

This paper cites Towards developing an annotation scheme for depressive disorder symptoms: A preliminary study using Twitter data.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Towards developing an annotation scheme for depressive disorder symptoms: A preliminary study using Twitter data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.539559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6b5bf8b-c914-4276-ab94-45b8c17ac5cb · outbound

This paper cites The phq-9: A new depression diagnostic and severity measure.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models The phq-9: A new depression diagnostic and severity measure

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.523971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc02b042-6cdf-4310-ad10-5ed9893089c8 · outbound

This paper cites The phq-9: Validity of a brief depression severity measure.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models The phq-9: Validity of a brief depression severity measure

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.508488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 937ae2d7-20fb-4ba3-9880-0c59148980d7 · outbound

This paper cites Knowledge-aware assessment of severity of suicide risk for early intervention.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Knowledge-aware assessment of severity of suicide risk for early intervention

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.490994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99039360-24dd-45ab-9cee-691053bc58ab · outbound

This paper cites Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on reddit during covid-19: An observational study.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on reddit during covid-19: An observational study

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.465314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6ff7976-e00a-4f69-8735-50699ed2e376 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.143596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737c57b7-21eb-4c44-950c-098b7362e958 · outbound

This paper cites Gpt-4o mini.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Gpt-4o mini

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.448172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d319d97-dfd3-4d1a-90a5-4322fee17bca · outbound

This paper cites The Llama 3 Herd of Models.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models The Llama 3 Herd of Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.152280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c6b75b-93b3-4f10-9f3a-2420e98caff0 · outbound

This paper cites Mistral-nemo.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Mistral-nemo

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.430266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d0283bd-6242-4cf5-8243-43927b66cf2f · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.161812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac265078-1f20-4b9a-8ba7-34b71ebf314d · outbound

This paper cites Hanafy, and Mohammed E.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Hanafy, and Mohammed E

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.414138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4f8774e3-4995-40cc-87f2-79d374b21249 · outbound

This paper cites Query2Label: A Simple Transformer Way to Multi-Label Classification.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.171529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbff75a7-cccd-40b1-92cd-3522f4889a7f · outbound

This paper cites Gkgnet: Group k-nearest neighbor based graph convolutional network for multi-label image recognition, 2024.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Gkgnet: Group k-nearest neighbor based graph convolutional network for multi-label image recognition, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:09:14.398867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e1d59ad-11b8-4ca8-b8c9-8eeec791fa37 · outbound

This paper cites Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:09:14.234422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddf902d0-f0c1-41fd-a0af-4d2857de82b3 · outbound

This paper cites an unresolved cited work.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:09:14.383605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4dad7e55-e059-4495-bf58-e27deded767e · outbound

This paper cites an unresolved cited work.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:09:14.367796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f540fe93-7df3-4e53-bad1-71b4301c8d6e · outbound

This paper cites an unresolved cited work.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.132811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d8dd264-c748-4f74-9bad-d2a0beacc799 · outbound

This paper cites an unresolved cited work.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:14.095343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3279b75e-33a0-4d50-8f2e-1d56e0c4cde7 · inbound

Generating Place-Based Compromises Between Two Points of View cites this paper.

Generating Place-Based Compromises Between Two Points of View Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:12.334466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.