Paper Citation Record · LEDGER

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2506.06616.

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

pith.paper-citation-record.v1
2506.06616 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:04.711537Z

measured 32 of 32 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:47.189236Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy29
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c8a59ba-8d0d-410d-ac96-ebcceb66fdbc · outbound

This paper cites Machine learning driven mental stress detection on Reddit posts using natural language processing,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Machine learning driven mental stress detection on Reddit posts using natural language processing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:05.046352Z

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.

Observation ea47589f-d147-4aee-b843-46acfde25dc2 · outbound

This paper cites Teenagers’ stress detection based on time- sensitive micro-blog comment/response actions,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Teenagers’ stress detection based on time- sensitive micro-blog comment/response actions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:05.036240Z

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.

Observation c3807453-1324-4df7-9c3f-b8ca6342b045 · outbound

This paper cites Mental distress detection and triage in forum posts: the lt3 clpsych 2016 shared task system,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Mental distress detection and triage in forum posts: the lt3 clpsych 2016 shared task system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:05.026283Z

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.

Observation cfde9a22-e60f-4417-805f-bd513815dc49 · outbound

This paper cites Stress detection using natural language processing and machine learning over social interactions,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Stress detection using natural language processing and machine learning over social interactions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:05.017304Z

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.

Observation 9ca80f57-62f1-4cb6-b508-a226878acbd0 · outbound

This paper cites Incorporating forthcoming events and personality traits in social media based stress prediction,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Incorporating forthcoming events and personality traits in social media based stress prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:05.007718Z

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.

Observation cc976485-ea39-4fdd-a244-66348dec2ff8 · outbound

This paper cites Understanding and measuring psychological stress using social media,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Understanding and measuring psychological stress using social media,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.997141Z

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.

Observation da5a0586-1617-4940-874d-317bb23232a4 · outbound

This paper cites Mental stress prediction from the text of social media using machine learning techniques,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Mental stress prediction from the text of social media using machine learning techniques,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.987218Z

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.

Observation de24d7ef-2b54-42e1-83e7-972b31f42c1d · outbound

This paper cites Automated assessment of patients’ self-narratives for posttraumatic stress disorder screening using natural language processing and text mining,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Automated assessment of patients’ self-narratives for posttraumatic stress disorder screening using natural language processing and text mining,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.977428Z

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.

Observation 77d565a7-72c8-4d58-9ebe-660eead37524 · outbound

This paper cites Predicting posttraumatic stress disorder risk: a machine learning approach,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Predicting posttraumatic stress disorder risk: a machine learning approach,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.967383Z

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.

Observation 296c4833-300a-4a82-93a9-3755ed3c471f · outbound

This paper cites Text mining to improve screening for trauma-related symptoms in a global sample,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Text mining to improve screening for trauma-related symptoms in a global sample,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.957164Z

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.

Observation 55cbceb5-df62-4d00-a296-55b544c68f4d · outbound

This paper cites Artificial intelligence language predictors of two-year trauma-related outcomes,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Artificial intelligence language predictors of two-year trauma-related outcomes,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.945949Z

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.

Observation e21d3df7-777c-433e-8cda-d492b16397f9 · outbound

This paper cites Detecting presence of PTSD using sentiment analysis from text data,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Detecting presence of PTSD using sentiment analysis from text data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.935568Z

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.

Observation 064f061b-99f9-457f-ba38-1e16f74c0790 · outbound

This paper cites A novel text mining approach for mental health prediction using Bi- LSTM and BERT model,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings A novel text mining approach for mental health prediction using Bi- LSTM and BERT model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.925068Z

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.

Observation e0a8b26e-74aa-44f3-bd1c-9220f03a373b · outbound

This paper cites Early detection of mental health crises through artifical-intelligence-powered social media analysis: a prospective observational study,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Early detection of mental health crises through artifical-intelligence-powered social media analysis: a prospective observational study,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.914891Z

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.

Observation e4eb48cc-3d9d-4c60-bd5e-9ea696f66714 · outbound

This paper cites Large-scale analysis of coun- seling conversations: an application of natural language processing to mental health,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Large-scale analysis of coun- seling conversations: an application of natural language processing to mental health,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.904336Z

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.

Observation 07d9e46c-2473-44a2-a7ae-0ea81930c22c · outbound

This paper cites an unresolved cited work.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:56:04.894848Z

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.

Observation c7ffbddf-5b2d-4c20-b3fc-c01b4af1f444 · outbound

This paper cites Just in time crisis response: suicide alert system for telemedicine psychotherapy settings,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Just in time crisis response: suicide alert system for telemedicine psychotherapy settings,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.884951Z

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.

Observation 8499bec9-27ee-446c-ad92-dc01e6ad203a · outbound

This paper cites Mental-LLM: leveraging large language models for mental health prediction via online text data,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Mental-LLM: leveraging large language models for mental health prediction via online text data,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.875216Z

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.

Observation 18d7635c-7ab4-4447-9bd8-bd5a83f5b23a · outbound

This paper cites Evaluating enhanced LLMs for precise mental health diagnosis from clinical notes,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Evaluating enhanced LLMs for precise mental health diagnosis from clinical notes,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.865315Z

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.

Observation 539e2e88-023a-42ea-97a5-c8a49e45458b · outbound

This paper cites Large language models for the mental health community: framework for translating code to care,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Large language models for the mental health community: framework for translating code to care,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.855536Z

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.

Observation 6b2e8c3a-254a-4713-b54d-0b935834b5f0 · outbound

This paper cites Foundation models for digital mental health: igniting the dawn,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Foundation models for digital mental health: igniting the dawn,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.845071Z

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.

Observation df140cfc-a52a-49a2-a08d-131a4a5f79bc · outbound

This paper cites A scoping review of large language models for generative tasks in mental health care,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings A scoping review of large language models for generative tasks in mental health care,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.833861Z

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.

Observation 8c72c11b-2730-40e4-b775-f0da988d8356 · outbound

This paper cites Leveraging mental health forums for user-level depression detection on social media,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Leveraging mental health forums for user-level depression detection on social media,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.823122Z

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.

Observation ade5d638-acf1-4774-a7a0-7e22effd0bfe · outbound

This paper cites CAMS: an annotated corpus for causal analysis of mental health issues in social media posts,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings CAMS: an annotated corpus for causal analysis of mental health issues in social media posts,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.812620Z

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.

Observation 8a601f6c-7997-400a-9d23-fac45ce3485f · outbound

This paper cites HelaDepDet: a novel multi-class classification model for detecting the severity of human depression,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings HelaDepDet: a novel multi-class classification model for detecting the severity of human depression,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.801358Z

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.

Observation 458b9caa-c687-4260-ad74-d5b7f60debc1 · outbound

This paper cites From posts to knowledge: annotating a pandemic-Era Reddit dataset to navigate mental health narratives,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings From posts to knowledge: annotating a pandemic-Era Reddit dataset to navigate mental health narratives,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.788915Z

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.

Observation e989d7a0-6b3f-43a0-955f-05757d5da64a · outbound

This paper cites De- pressionEmo: a novel dataset for multilabel classification of depression emotions,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings De- pressionEmo: a novel dataset for multilabel classification of depression emotions,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.776724Z

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.

Observation dcbdd3c2-4015-4163-917f-541c8a0a53a3 · outbound

This paper cites ‘Am I the Bad One’? predicting the moral judgement of the crowd using pre–trained language models,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings ‘Am I the Bad One’? predicting the moral judgement of the crowd using pre–trained language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.765348Z

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.

Observation 8b9e7f84-38bb-4a8a-a7af-3528927f9189 · outbound

This paper cites MPNet: masked and permuted pre-training for language understanding,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings MPNet: masked and permuted pre-training for language understanding,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.754734Z

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.

Observation e3e93075-2092-48af-a499-cdde52235dc9 · outbound

This paper cites Scikit-learn: machine learning in Python,.

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Scikit-learn: machine learning in Python,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:04.743967Z

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.

Pith citing papers

Observation 5b3e0029-3a43-40da-9bea-5ff3876effc6 · inbound

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets cites this paper.

Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:47.189236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6ce770-9e90-4d25-a020-e6a520943d5b · inbound

WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection cites this paper.

WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-11T19:53:55.129676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.