Paper Citation Record · LEDGER

Language-Agnostic Suicidal Risk Detection Using Large Language Models

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.20109.

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

pith.paper-citation-record.v1
2505.20109 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:21.363224Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:18.341859Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:03:22.040464Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy24
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb5d317b-4935-41a3-9526-015c57816903 · outbound

This paper cites According to statistics from the World Health Orga- nization, suicide is the fourth leading cause of death among in- dividuals aged 15–19, affecting both genders [1].

Language-Agnostic Suicidal Risk Detection Using Large Language Models According to statistics from the World Health Orga- nization, suicide is the fourth leading cause of death among in- dividuals aged 15–19, affecting both genders [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:27.119984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2af5e69c-d8f2-493f-b612-ba69a6482f67 · outbound

This paper cites Language-Agnostic Suicidal Risk Detection Using Large Language Models.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Language-Agnostic Suicidal Risk Detection Using Large Language Models

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:03:22.123324Z

Source-reported events for the cited work

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Observation 9741e45c-f2d1-4d5d-a5c4-c9a4b9f54640 · outbound

This paper cites A high-level architecture of our approach is shown in Figure 1.

Language-Agnostic Suicidal Risk Detection Using Large Language Models A high-level architecture of our approach is shown in Figure 1

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:26.691931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bb69690-69b4-49f7-9089-cb388ae266ba · outbound

This paper cites Text Modality The experimental results in Table 3 demonstrate the dev set performance of various pretrained language models on the sui- cidal risk assessment on ER and ED tasks.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Text Modality The experimental results in Table 3 demonstrate the dev set performance of various pretrained language models on the sui- cidal risk assessment on ER and ED tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:26.478161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6581494b-7710-489d-bb9d-9619f623ec47 · outbound

This paper cites Limitation Statement The findings presented in this study are based on the scoring framework of the MINI-KID scale, which assesses current sui- cide risk as at risk or no risk.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Limitation Statement The findings presented in this study are based on the scoring framework of the MINI-KID scale, which assesses current sui- cide risk as at risk or no risk

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:26.235342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d23eaa3-e7e4-4656-ae37-b25eab6cc49c · outbound

This paper cites an unresolved cited work.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:26.088516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4bd41e7-a53a-4fea-a9f7-a39e7198f293 · outbound

This paper cites an unresolved cited work.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:25.894914Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96f7cc20-2a7c-4cc0-86f9-e77ed384adf3 · outbound

This paper cites Opi@lt-edi-acl2022: De- tecting signs of depression from social media text using roberta pre-trained language models,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Opi@lt-edi-acl2022: De- tecting signs of depression from social media text using roberta pre-trained language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:24.480157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05a3762d-1136-4537-8980-e4221722d9ec · outbound

This paper cites Suicide worldwide in 2019: global health estimates,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Suicide worldwide in 2019: global health estimates,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:25.708633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e15ed102-7a5e-4659-b70d-de9a2e7d422b · outbound

This paper cites Suicide and homicide death rates among youth and young adults aged 10–24: United states, 2001– 2021,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Suicide and homicide death rates among youth and young adults aged 10–24: United states, 2001– 2021,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:25.520965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5fa534d-78ac-4ad9-98bb-277fb74f2956 · outbound

This paper cites Temporal trend in suicide mortality for chinese adolescents, 2008 to 2021,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Temporal trend in suicide mortality for chinese adolescents, 2008 to 2021,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:25.319700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86614667-f1b8-477b-9b19-be2524cb1977 · outbound

This paper cites A review of suicide risk assessment tools and their measured psychometric properties in korea,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models A review of suicide risk assessment tools and their measured psychometric properties in korea,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:25.161936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be849611-77fd-4783-a70d-5401c4ed62d9 · outbound

This paper cites Suicide risk assessment tools, predictive validity findings and utility today: time for a revamp?.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Suicide risk assessment tools, predictive validity findings and utility today: time for a revamp?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:25.011885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c45e66df-8848-48c4-af90-152509feee75 · outbound

This paper cites Factors in the assessment of suicidality in youth,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Factors in the assessment of suicidality in youth,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:24.825605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54844766-9d4d-4640-8ce6-cef01d8aed68 · outbound

This paper cites Automated assessment of psychiatric disorders using speech: A systematic review,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Automated assessment of psychiatric disorders using speech: A systematic review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:24.670686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 700129d2-d40b-46a2-a4c8-1175165fa50b · outbound

This paper cites Artificial intelligence for suicide assessment using audiovisual cues: a review,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Artificial intelligence for suicide assessment using audiovisual cues: a review,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:22.890792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a4396b5-66ed-459b-a8a3-d612e9fc0e6b · outbound

This paper cites Exploring the capabilities of a language model- only approach for depression detection in text data,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Exploring the capabilities of a language model- only approach for depression detection in text data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:24.316496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 417160c7-26f3-4d62-9d68-2e484018a874 · outbound

This paper cites Harnessing multimodal approaches for depression detection using large language models and facial expressions,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Harnessing multimodal approaches for depression detection using large language models and facial expressions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:24.150471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c1d7551-2276-4e67-91fc-4d5ce76a88d5 · outbound

This paper cites Depression diagnosis: Eeg- based cognitive biomarkers and machine learning,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Depression diagnosis: Eeg- based cognitive biomarkers and machine learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:23.935297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52b05f6a-2349-4bcf-8d01-568a2f7562ff · outbound

This paper cites Depression detection and diagnosis based on electroencephalogram (eeg) analysis: A systematic review,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Depression detection and diagnosis based on electroencephalogram (eeg) analysis: A systematic review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:23.702868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e83fee8d-d11b-444e-9411-99a0273a4760 · outbound

This paper cites Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:23.542345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 25c0e98e-7f2d-472a-8ac7-672301405113 · outbound

This paper cites Investigating the speech characteristics of suicidal adolescents,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Investigating the speech characteristics of suicidal adolescents,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:23.308588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 578ff42c-400e-4f88-a866-5b7c64e95492 · outbound

This paper cites Adolescent suicidal risk assessment in clinician- patient interaction,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Adolescent suicidal risk assessment in clinician- patient interaction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:23.025784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae9a44e2-c461-4e82-8c6a-c4f706238bb2 · outbound

This paper cites Unsupervised cross-lingual representation learning for speech recognition,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Unsupervised cross-lingual representation learning for speech recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:22.350130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8d8dd56-0e50-4ecf-9109-433a2599f081 · outbound

This paper cites Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:20.562172Z

Source-reported events for the cited work

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Observation 6f930313-28b3-445f-a001-00f718cd06ae · outbound

This paper cites Sever- ity prediction in mental health: Llm-based creation, analysis, evaluation of a novel multilingual dataset,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Sever- ity prediction in mental health: Llm-based creation, analysis, evaluation of a novel multilingual dataset,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:03:21.915751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61320a93-7f3c-4c1e-8bd0-8aa26ddaa933 · outbound

This paper cites Deep Learning and Large Language Models for Audio and Text Analysis in Predicting Suicidal Acts in Chinese Psychological Support Hotlines.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Deep Learning and Large Language Models for Audio and Text Analysis in Predicting Suicidal Acts in Chinese Psychological Support Hotlines

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:20.767221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de88c4ef-bdd4-4bee-a61e-6110468aea02 · outbound

This paper cites The 1st speechwellness challenge: Detecting sui- cidal risk among adolescents,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models The 1st speechwellness challenge: Detecting sui- cidal risk among adolescents,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:20.836239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf06c6b-b2fe-41f2-8045-7c87188d4e77 · outbound

This paper cites Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:22.723187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f651318e-d9ae-483c-97b0-840c4259d855 · outbound

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

Language-Agnostic Suicidal Risk Detection Using Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:20.982304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee9bfa4-8a41-46f5-b1ba-901338b5b6c4 · outbound

This paper cites Uer: An open-source toolkit for pre-training models,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Uer: An open-source toolkit for pre-training models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:22.515860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0b8d8d8-e65e-4921-8fac-f6f9d4be10d0 · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:21.270942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4da5b0-350a-4785-9fc7-744d873793dc · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

Language-Agnostic Suicidal Risk Detection Using Large Language Models wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:21.363224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d45fea3a-5344-4d16-ad8f-1b64ecac61c3 · outbound

This paper cites Despite its significance, assessing suicidal risk remains largely subjective due to the lack of a definitive characteriza- tion of at-risk individuals.

Language-Agnostic Suicidal Risk Detection Using Large Language Models Despite its significance, assessing suicidal risk remains largely subjective due to the lack of a definitive characteriza- tion of at-risk individuals

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:26.886637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 2af5e69c-d8f2-493f-b612-ba69a6482f67 · inbound