Paper Citation Record · LEDGER

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2505.13069.

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

pith.paper-citation-record.v1
2505.13069 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:43.399232Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:43.309140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:24:43.667633Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy18
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9755702e-9da4-45bb-9cb8-7fc277035148 · outbound

This paper cites Early identification of individuals at risk is critical for timely in- tervention, yet reliable and accessible risk assessment remains a persistent challenge.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Early identification of individuals at risk is critical for timely in- tervention, yet reliable and accessible risk assessment remains a persistent challenge

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.915848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 443ab7c1-ea49-493a-8457-8f7355f94999 · outbound

This paper cites Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:24:43.674489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e39d9ed9-e767-4899-b714-7a55152a0fa8 · outbound

This paper cites Overview of Performance Metrics Table 1 presents the main performance metrics for all three submissions.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Overview of Performance Metrics Table 1 presents the main performance metrics for all three submissions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.903767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 969f7090-b542-44f8-895e-2aecce477ce4 · outbound

This paper cites Embeddings The choice of embeddings significantly influenced classifica- tion performance, with each modality contributing complemen- tary information to the SR assessment task.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Embeddings The choice of embeddings significantly influenced classifica- tion performance, with each modality contributing complemen- tary information to the SR assessment task

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.891531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cebf7a0b-aa9d-4859-96be-9bb419c1c295 · outbound

This paper cites Our findings suggest that combining self-supervised speech representations with hand- crafted acoustic and linguistic features enhances classification performance.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Our findings suggest that combining self-supervised speech representations with hand- crafted acoustic and linguistic features enhances classification performance

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.876655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 053a4750-928f-41eb-b119-bbb4e4964548 · outbound

This paper cites Suicide prevention in childhood and adolescence: a narrative review of current knowledge on risk and protective factors and effectiveness of interventions,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Suicide prevention in childhood and adolescence: a narrative review of current knowledge on risk and protective factors and effectiveness of interventions,

Reference 6

Resolution: verified exact; doi, observed 2026-08-15T20:24:43.432610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0dc1f05-e081-46d4-bcde-1d4c9cf749c1 · outbound

This paper cites Suicide and suicide risk in adolescents.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Suicide and suicide risk in adolescents

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.863249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7352843-9324-4449-976d-5a5af4feaed7 · outbound

This paper cites Limitations of a single- item assessment of suicide attempt history: Implications for stan- dardized suicide risk assessment.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Limitations of a single- item assessment of suicide attempt history: Implications for stan- dardized suicide risk assessment

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.849769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c23b49a-ecf6-4c3f-93ff-7cd780a39ae3 · outbound

This paper cites The role of the clinical interview in suicide risk assessment,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset The role of the clinical interview in suicide risk assessment,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:43.336970Z

Source-reported events for the cited work

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Observation 73fb2614-fcf0-4caa-a478-448d014e10f3 · outbound

This paper cites How do healthcare professionals interview patients to assess suicide risk?.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset How do healthcare professionals interview patients to assess suicide risk?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.834897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4531d17f-487f-40e5-b688-efe36a502262 · outbound

This paper cites A review of depression and suicide risk assessment using speech analysis,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset A review of depression and suicide risk assessment using speech analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.822331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 449c606d-f01b-4b25-805a-7e8af2b289da · outbound

This paper cites Content analysis of suicidal notes - the verbal behaviour,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Content analysis of suicidal notes - the verbal behaviour,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.809104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1582937-8fd5-464b-9af8-d45c8012bcb8 · outbound

This paper cites Linguistic research on specific features of suicidal communication—past, present, and future,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Linguistic research on specific features of suicidal communication—past, present, and future,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.797308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a8db7da-ddb7-4fd4-acb2-dd543ba4610c · outbound

This paper cites Investigat- ing voice quality as a speaker-independent indicator of depression and ptsd,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Investigat- ing voice quality as a speaker-independent indicator of depression and ptsd,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.783563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c05ab5ae-f824-4bc6-96c8-59dcc1af3f42 · outbound

This paper cites Examination of speech analysis to predict suicidal behavior in depression,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Examination of speech analysis to predict suicidal behavior in depression,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.771271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdde6e43-6018-4efa-ac9a-4aa452b79d3e · outbound

This paper cites Acoustic and language analysis of speech for suicidal ideation among us veterans,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Acoustic and language analysis of speech for suicidal ideation among us veterans,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.757036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1e17ade-73e5-4509-8aaa-0b29aa1d90ca · outbound

This paper cites The 1st speechwellness challenge: Detecting suicidal risk among adolescents,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset The 1st speechwellness challenge: Detecting suicidal risk among adolescents,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:43.365921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6f53791-8a0f-4cdc-8b07-b3f969db98cb · outbound

This paper cites Whisperx: Time-accurate speech transcription of long-form audio,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Whisperx: Time-accurate speech transcription of long-form audio,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:43.369530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af19895b-ee27-4eb1-8057-76b69eadc04d · outbound

This paper cites Detection of suicidal ideation on social media: Multimodal, rela- tional, and behavioral analysis,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Detection of suicidal ideation on social media: Multimodal, rela- tional, and behavioral analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.736866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7dfb6869-db9c-47ee-b9d7-0fba250472e7 · outbound

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

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:43.376634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b147cf9e-28b9-4c44-92ec-422f98a54d3d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:43.380545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39caa54-2dba-4a50-ad85-4d7d80ee609d · outbound

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

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:43.384650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5371ef06-eeea-44c2-9e02-e407616a5f1d · outbound

This paper cites Characterizing depres- sive related speech with mfcc,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Characterizing depres- sive related speech with mfcc,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.725105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7fca917-003f-45ab-a8f6-269800e49836 · outbound

This paper cites Association between suicidal ideation and acoustic parameters of university students’ voice and speech: a pilot study,.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Association between suicidal ideation and acoustic parameters of university students’ voice and speech: a pilot study,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.712113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 781ac38b-4b95-4857-b09a-4428404069d4 · outbound

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

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Investigating the speech characteristics of suicidal adolescents,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.700257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9825c440-328f-4452-b47c-664a621f7219 · outbound

This paper cites Agreement between clinical and mini diagnoses in outpatients with mood and anxiety disorders.

Suicide Risk Assessment Using Multimodal Speech Features: A Study on the SW1 Challenge Dataset Agreement between clinical and mini diagnoses in outpatients with mood and anxiety disorders

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:43.688480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 443ab7c1-ea49-493a-8457-8f7355f94999 · inbound