Paper Citation Record · LEDGER

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2507.00693.

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

pith.paper-citation-record.v1
2507.00693 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:13:14.486357Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:13:13.156077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:04:57.174685Z

Reference resolution

40 of 40 outbound references displayed

verified exact3
verified fuzzy29
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 259b9b2b-e652-497c-9689-865f8e5015c1 · outbound

This paper cites Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.156077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0f0f85-aad4-4184-9a5e-c4f933671f42 · outbound

This paper cites Have you ever experi- enced moments of extreme emotional distress? How do you manage these feelings ?.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Have you ever experi- enced moments of extreme emotional distress? How do you manage these feelings ?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.909358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18bed1e2-2375-4b2e-8633-f3cd44727bd9 · outbound

This paper cites First, the audio is fed into an acoustic model to extract acoustic features, while an Automatic Speech Recognition (ASR) model transcribes the speech into text.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection First, the audio is fed into an acoustic model to extract acoustic features, while an Automatic Speech Recognition (ASR) model transcribes the speech into text

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.890701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8af270a6-4b89-4a7f-a8e3-cd0b9a502262 · outbound

This paper cites Implementation Details Our model was implemented in PyTorch 2.0.1 on an L20 GPU.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Implementation Details Our model was implemented in PyTorch 2.0.1 on an L20 GPU

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.872184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6712ad52-65d1-4a25-a24a-5a0ebd26c90a · outbound

This paper cites my parents say I’m not good enough.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection my parents say I’m not good enough

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.855472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a335523c-79e8-407e-ad83-fd9fb9cc60ca · outbound

This paper cites at risk” or “no risk,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection at risk” or “no risk,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.838441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1d0a0b3-772c-4d44-a2dc-8315e2f9b1d0 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:15.820072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2219360-f0ae-468c-84f0-84d5197dfac5 · outbound

This paper cites Suicide,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Suicide,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.801843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b60c3cce-d7ba-4e1d-b408-105de90a7a26 · outbound

This paper cites Classification of suicide attempts through a machine learning algorithm based on multiple systemic psychiatric scales,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Classification of suicide attempts through a machine learning algorithm based on multiple systemic psychiatric scales,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.781070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffdd54c9-79f1-4151-8348-64323a5cea84 · outbound

This paper cites The beck depression inventory-ii (bdi-ii), beck hopelessness scale (bhs), and beck scale for suicide ideation (bss).

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection The beck depression inventory-ii (bdi-ii), beck hopelessness scale (bhs), and beck scale for suicide ideation (bss)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.763335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation edfa19d9-0d2c-4a9c-bac5-a60f7c6d7c59 · outbound

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

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection A review of depression and suicide risk assessment using speech analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.745896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd374a5e-be43-4052-a54a-efb730a5958a · outbound

This paper cites New methods for assessing rapid changes in suicide risk,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection New methods for assessing rapid changes in suicide risk,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.723872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e83fffe-23ab-4c35-829a-45365d0563c2 · outbound

This paper cites Johar, Emotion, affect and personality in speech: The Bias of language and paralanguage.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Johar, Emotion, affect and personality in speech: The Bias of language and paralanguage

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.704909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14a53dd5-4031-4572-8c9f-4a5feb6f0726 · outbound

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

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Acoustic and language analysis of speech for suicidal ideation among us veterans,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.679062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2e206d6-fb6b-4da1-a18e-38aec4d7252b · outbound

This paper cites Linguistic features of suicidal thoughts and behaviors: A systematic review,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Linguistic features of suicidal thoughts and behaviors: A systematic review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.649446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a256f206-9369-4dad-a459-c1568be2a54a · outbound

This paper cites Exploring the role of first-person singular pronouns in detecting suicidal ideation: A machine learning analysis of clinical transcripts,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Exploring the role of first-person singular pronouns in detecting suicidal ideation: A machine learning analysis of clinical transcripts,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.629745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c8d619b-78f9-46a1-b205-8b60c4e104e3 · outbound

This paper cites The indirect effect of per- ceived criticism on suicide ideation and attempts,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection The indirect effect of per- ceived criticism on suicide ideation and attempts,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.610395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad5da1e7-c522-4017-8a08-68bfe48ac3f5 · outbound

This paper cites Specific coping behaviors in relation to adolescent depression and suicidal ideation,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Specific coping behaviors in relation to adolescent depression and suicidal ideation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.591765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41a9fe2d-28f0-4760-8770-25c71bab19a5 · outbound

This paper cites Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.806803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f28b9a96-7e81-47be-97b9-a052e6eaa35d · outbound

This paper cites Validating machine learning algorithms for twitter data against established measures of suicidality,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Validating machine learning algorithms for twitter data against established measures of suicidality,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.571483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7595c2a4-b1ae-4371-9ae5-7ca1883cf484 · outbound

This paper cites Using large language models to detect depression from user-generated diary text data as a novel approach in digital mental health screening: Instrument validation study,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Using large language models to detect depression from user-generated diary text data as a novel approach in digital mental health screening: Instrument validation study,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.553303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d357671-0b97-4d9d-b28d-1a86b61629b1 · outbound

This paper cites Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:13:14.922747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ff3238d-db32-4356-85a5-109c7f8fe270 · outbound

This paper cites Suicidal intention de- tection in tweets using bert-based transformers,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Suicidal intention de- tection in tweets using bert-based transformers,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.535561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41a8b25e-ae93-447f-9ae7-f1d0585afaac · outbound

This paper cites Detecting potentially harmful and protective suicide-related content on twitter: machine learning approach,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Detecting potentially harmful and protective suicide-related content on twitter: machine learning approach,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.515371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a5ca63c-ab23-453a-838f-a1d5325788e0 · outbound

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

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:13:14.831742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4ef646d-9b7f-4f9e-aedf-c9806aef0490 · outbound

This paper cites Multimodal sensing for depression risk detection: integrating audio, video, and text data,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Multimodal sensing for depression risk detection: integrating audio, video, and text data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.490720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65abea95-5b85-4a1c-a3fe-7756ac720668 · outbound

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

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection The 1st speechwellness challenge: Detecting suicidal risk among adolescents,

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-06T21:13:14.766905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88cb9a4f-b88e-4145-8c66-caeb5886c12d · outbound

This paper cites Unsupervised Cross-lingual Representation Learning for Speech Recognition.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Unsupervised Cross-lingual Representation Learning for Speech Recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.129554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410902ea-590e-4b74-b188-8c9462557401 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Robust speech recognition via large-scale weak supervision,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.162453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1895f18b-a9a5-4638-8bb0-347487ebcd23 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.452490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 794d3c2d-51cc-4fc1-af55-2f5f181bc236 · outbound

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

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.225826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f11147c-42df-4afb-b735-4f9f37bdc5dd · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Unsupervised Cross-lingual Representation Learning at Scale

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.261722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6717a08b-581e-42d1-8ebd-2c37ac761195 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.281060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f05bc30-7946-4c48-838d-694d565fa285 · outbound

This paper cites Social connectedness as a determi- nant of mental health: A scoping review,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Social connectedness as a determi- nant of mental health: A scoping review,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.432176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 670b46cf-16cd-4da5-821a-a675783afc2c · outbound

This paper cites Differences in non- suicidal self-injury and suicide attempts in adolescents,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Differences in non- suicidal self-injury and suicide attempts in adolescents,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.406659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94b9ecf1-451d-42f8-a38b-ceaa525f1309 · outbound

This paper cites Social support as a protective factor in suicide: Findings from two nationally representative samples,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Social support as a protective factor in suicide: Findings from two nationally representative samples,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.385463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce2f7266-bcf7-417b-b0d3-eaf8879f9e4b · outbound

This paper cites Interaction between physical activity and prob- lematic mobile phone use on suicidality in chinese college students,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Interaction between physical activity and prob- lematic mobile phone use on suicidality in chinese college students,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.312449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a21ebec-84c4-45d3-8411-b423352c6ae6 · outbound

This paper cites Physical exercise, mental health problems, and suicide attempts in university students,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Physical exercise, mental health problems, and suicide attempts in university students,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.223359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 428949a3-ddcc-47ac-9af4-cd31334ff577 · outbound

This paper cites Coping strategies and suicidality: A cross- sectional study from china,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection Coping strategies and suicidality: A cross- sectional study from china,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.151281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1a3cae9-e35b-455d-8288-c885c101bd93 · outbound

This paper cites An examination of the mediating role of maladap- tive emotion regulation strategies in the complex relationship between interpersonal needs and suicidal behavior,.

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection An examination of the mediating role of maladap- tive emotion regulation strategies in the complex relationship between interpersonal needs and suicidal behavior,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.080056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 259b9b2b-e652-497c-9689-865f8e5015c1 · inbound