Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:01.928691Z
Paper Citation Record · LEDGER
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review
As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2505.12220.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact40
- verified fuzzy3
- unresolved4
- parse uncertain0
- malformed identifier4
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 759f7d55-d2a5-4b83-b677-e8acbf2551ce · outbound
This paper cites Preventing suicides in US service members and veterans: concerns after a decade of war.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Preventing suicides in US service members and veterans: concerns after a decade of war
Reference 1
- Resolution
- verified exact
- raw_fallback, observed 2026-08-15T20:42:04.115477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 06142eee-e8af-495f-917b-844dc9f9f295 · outbound
This paper cites Soldier suicide rates continue to rise: military, scientists work to stem the tide.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Soldier suicide rates continue to rise: military, scientists work to stem the tide
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.732251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 97aa3635-5fae-41ca-b505-f79128adcd15 · outbound
This paper cites Preva- lence and correlates of suicidal behavior among soldiers: results from the army study to assess risk and resilience in servicemembers (army STARRS).
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Preva- lence and correlates of suicidal behavior among soldiers: results from the army study to assess risk and resilience in servicemembers (army STARRS)
Reference 3
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eb067c62-f4f2-4c0e-a095-b48df062b844 · outbound
This paper cites Suicide attempts in the US army during the wars in afghanistan and iraq, 2004 to 2009.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Suicide attempts in the US army during the wars in afghanistan and iraq, 2004 to 2009
Reference 4
- Resolution
- verified exact
- raw_fallback, observed 2026-08-15T20:42:04.010409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation de25efa8-1e8b-45ba-888e-ed2e701564e8 · outbound
This paper cites Using machine learning to predict suicide attempts in military personnel.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Using machine learning to predict suicide attempts in military personnel
Reference 5
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T20:42:03.913355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a9d8d362-ce73-47a0-a74c-6ff84837e17d · outbound
This paper cites Using machine learning algorithms to enhance the man- agement of suicide ideation.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Using machine learning algorithms to enhance the man- agement of suicide ideation
Reference 6
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T20:42:03.815260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9d0148ba-b450-42b9-a9f3-6f2a17df1f20 · outbound
This paper cites 2023 national veteran suicide prevention annual report.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review 2023 national veteran suicide prevention annual report
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:42:04.277852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2217d9bf-eb4c-4e08-b631-909ce384fdaf · outbound
This paper cites Unintended consequences: stigma and suicide prevention efforts.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Unintended consequences: stigma and suicide prevention efforts
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.694315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 993f7fa5-bc3f-49d7-b05c-d22f7999fafb · outbound
This paper cites Post- deployment mental health screening: A systematic review of current evidence and future directions.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Post- deployment mental health screening: A systematic review of current evidence and future directions
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.674501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d8f38db1-601b-4e40-ae65-3cc91ce2c048 · outbound
This paper cites Predicting military and veteran suicide risk: Cultural aspects.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predicting military and veteran suicide risk: Cultural aspects
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.656676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ce39b36a-49ea-433b-b57f-4263037ef54d · outbound
This paper cites Improving suicide risk screening to identify the highest risk patients: Results from the PRImary care screening methods (PRISM) study.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Improving suicide risk screening to identify the highest risk patients: Results from the PRImary care screening methods (PRISM) study
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.634073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f1e93b29-97a9-4a88-886b-a329e5cc499d · outbound
This paper cites How well can U.S.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review How well can U.S
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.614427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0b95d947-925e-44fe-8dd6-e5a7ada9cd9d · outbound
This paper cites Predicting suicides after outpatient mental health visits in the army study to assess risk and resilience in servicemembers (army STARRS).
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predicting suicides after outpatient mental health visits in the army study to assess risk and resilience in servicemembers (army STARRS)
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.596951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation acc78771-5fa7-4240-93c0-9a2d33b9b672 · outbound
This paper cites Evaluation of the recovery engagement and coordination for Health-Veterans enhanced treatment suicide risk modeling clinical program in the veterans health administration.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Evaluation of the recovery engagement and coordination for Health-Veterans enhanced treatment suicide risk modeling clinical program in the veterans health administration
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e486b04-97d6-44a3-8346-90f53eb40556 · outbound
This paper cites Developing a practical suicide risk pre- diction model for targeting high-risk patients in the veterans health administration.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Developing a practical suicide risk pre- diction model for targeting high-risk patients in the veterans health administration
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.566023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 153100b7-9f26-4fb4-8dd2-c5eb6ee2c9aa · outbound
This paper cites The veterans health admin- istration REACH VET program: Suicide predictive modeling in practice.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review The veterans health admin- istration REACH VET program: Suicide predictive modeling in practice
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.547517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c8b13717-2051-4b38-a632-ddd6ec9029bd · outbound
This paper cites The army study to assess risk and resilience in servicemembers (army STARRS): progress toward understanding suicide among soldiers.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review The army study to assess risk and resilience in servicemembers (army STARRS): progress toward understanding suicide among soldiers
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.527136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cd28270f-cf2f-4318-8dc7-378f8680e6fc · outbound
This paper cites Gender differences in machine learning models of trauma and suicidal ideation in veterans of the iraq and afghanistan wars.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Gender differences in machine learning models of trauma and suicidal ideation in veterans of the iraq and afghanistan wars
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.502480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ac9d29a1-5bdf-4200-97c2-ea5bf1f321d8 · outbound
This paper cites Machine learning based suicide ideation prediction for military personnel.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Machine learning based suicide ideation prediction for military personnel
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:42:01.702394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d422f54-b513-4858-a84d-6cdf9265e316 · outbound
This paper cites Acoustic and language analysis of speech for suicidal ideation among US veterans.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Acoustic and language analysis of speech for suicidal ideation among US veterans
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.483398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8402b6f1-3d39-420b-80ee-71e959f1c073 · outbound
This paper cites The first year after military service: Predictors of U.S.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review The first year after military service: Predictors of U.S
Reference 21
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-15T20:42:01.718282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 522938b6-1f5b-4daa-be09-c6a52145bf48 · outbound
This paper cites A machine learning approach to iden- tification of self-harm and suicidal ideation among military and police veterans.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review A machine learning approach to iden- tification of self-harm and suicidal ideation among military and police veterans
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.453660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c89a27ac-5d0c-43a7-846f-3511930b0038 · outbound
This paper cites Detecting suicide risk among U.S.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Detecting suicide risk among U.S
Reference 23
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T20:42:04.257475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b6b7baa3-a427-4528-8aa6-46de75a785fb · outbound
This paper cites Text mining the EMR for modeling and predicting suicidal behavior among US veterans of the 1991 persian gulf war.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Text mining the EMR for modeling and predicting suicidal behavior among US veterans of the 1991 persian gulf war
Reference 24
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.426244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e06e419a-80d8-4973-8f7b-f5ba753a4785 · outbound
This paper cites Sexual assault victimization and mental health treatment, suicide attempts, and career outcomes among women in the US army.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Sexual assault victimization and mental health treatment, suicide attempts, and career outcomes among women in the US army
Reference 25
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T20:42:03.605949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 431c0289-071a-43cc-9f0c-c763d66ecc59 · outbound
This paper cites Predicting suicide attempts among soldiers who deny suicidal ideation in the army study to assess risk and resilience in servicemembers (army STARRS).
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predicting suicide attempts among soldiers who deny suicidal ideation in the army study to assess risk and resilience in servicemembers (army STARRS)
Reference 26
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.398082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 97a30263-c418-4fca-b5d1-ac4858a0ccca · outbound
This paper cites an unresolved cited work.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Unresolved cited work
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:42:01.765792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3539f8d7-2bc7-40e1-80f9-2af1e1abc041 · outbound
This paper cites Pre-deployment predictors of suicide attempt during and after combat deployment: Results from the army study to assess risk and resilience in servicemembers.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Pre-deployment predictors of suicide attempt during and after combat deployment: Results from the army study to assess risk and resilience in servicemembers
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.379882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6e4926e2-7b50-4033-8a3c-95ea8a6219a1 · outbound
This paper cites Predicting suicide at- tempts among U.S.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predicting suicide at- tempts among U.S
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.354877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8a471b2e-7c1b-4768-b0fd-74e602beea15 · outbound
This paper cites an unresolved cited work.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Unresolved cited work
Reference 30
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.323917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 62e15308-1110-43f3-8598-b5726d3cd14a · outbound
This paper cites A practical risk calculator for suicidal behavior among transitioning U.S.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review A practical risk calculator for suicidal behavior among transitioning U.S
Reference 31
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.299815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cb97f4bb-33ec-4777-86b1-f1f5e2d4a8b1 · outbound
This paper cites Deep sequential neural network models improve stratification of suicide attempt risk among US veterans.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Deep sequential neural network models improve stratification of suicide attempt risk among US veterans
Reference 32
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.269315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 94fc46a5-3bf9-4eb5-bbfa-5956365ab2f9 · outbound
This paper cites Predicting the risk of suicide by analyzing the text of clinical notes.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predicting the risk of suicide by analyzing the text of clinical notes
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.239733Z
Source-reported events for the cited work
correction dated 2014-03-20. Source: crossref record 10.1371/journal.pone.0091602->10.1371/journal.pone.0085733:correction, observed 2026-07-11T03:08:51.208627+00:00. This notice travels one citation hop only.
Observation d0aad0f9-1f5b-4a76-9264-4c2584639e8b · outbound
This paper cites Predicting suicides after psychiatric hospitalization in US army soldiers: the army study to assess risk and resilience in servicemembers (army STARRS).
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predicting suicides after psychiatric hospitalization in US army soldiers: the army study to assess risk and resilience in servicemembers (army STARRS)
Reference 34
- Resolution
- verified exact
- raw_fallback, observed 2026-08-15T20:42:03.400512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2cee1821-d9ac-4c55-96c4-8db24c935056 · outbound
This paper cites Using administrative data to predict suicide after psychiatric hospitalization in the veterans health administration system.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Using administrative data to predict suicide after psychiatric hospitalization in the veterans health administration system
Reference 35
- Resolution
- verified exact
- raw_fallback, observed 2026-08-15T20:42:03.285527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 09a7ad38-5d54-4a36-919c-6799a5c6076e · outbound
This paper cites Evaluation of suicide mortality among sexual minority US veterans from 2000 to 2017.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Evaluation of suicide mortality among sexual minority US veterans from 2000 to 2017
Reference 36
- Resolution
- verified exact
- raw_fallback, observed 2026-08-15T20:42:03.184022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b6bb2133-292c-4690-8690-9572c549225c · outbound
This paper cites Leveraging natural language processing to improve electronic health record suicide risk prediction for veterans health administration users.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Leveraging natural language processing to improve electronic health record suicide risk prediction for veterans health administration users
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.211838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 62bcb0ad-041d-4f6a-bc43-34fee0e847b9 · outbound
This paper cites High dimensional predictions of suicide risk in 4.2 million US veterans using ensemble transfer learning.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review High dimensional predictions of suicide risk in 4.2 million US veterans using ensemble transfer learning
Reference 38
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:04.235752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ad2d3d19-0acb-4ccf-ab1e-d869274bb0a9 · outbound
This paper cites Automatic prediction of suicidal risk in military couples using multimodal interaction cues from couples conversations.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Automatic prediction of suicidal risk in military couples using multimodal interaction cues from couples conversations
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:42:01.843058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c01f9d90-329d-42a5-b033-5896a72231b4 · outbound
This paper cites Digital phenotyping to improve prediction of suicidal urges in treatment: Study protocol.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Digital phenotyping to improve prediction of suicidal urges in treatment: Study protocol
Reference 40
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T20:42:02.978110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 97ace8f8-4d37-4eab-8a02-f33f2fffd3c7 · outbound
This paper cites Suicide theory-guided nat- ural language processing of clinical progress notes to improve prediction of veteran suicide risk: proto- col for a mixed-method study.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Suicide theory-guided nat- ural language processing of clinical progress notes to improve prediction of veteran suicide risk: proto- col for a mixed-method study
Reference 41
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.183559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7d8ef2a0-527b-492f-a8fc-86d6d6175594 · outbound
This paper cites 6 facts about the U.S.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review 6 facts about the U.S
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:42:04.213475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8c90e62b-b67c-445d-90af-e61012545bd8 · outbound
This paper cites National violent death reporting system: Web coding manual: Version 6.0 [2022-01-18].
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review National violent death reporting system: Web coding manual: Version 6.0 [2022-01-18]
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:42:04.185520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 55d07ebe-a2e6-48bf-9494-155439414b78 · outbound
This paper cites Binge drinking among female veterans affairs patients: prevalence and associated risks.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Binge drinking among female veterans affairs patients: prevalence and associated risks
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.151717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e5724d2b-fdc4-4403-afa4-8b2fc3d1243c · outbound
This paper cites Sex/Gender differences in the Time- Course for the development of substance use disorder: A focus on the telescoping effect.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Sex/Gender differences in the Time- Course for the development of substance use disorder: A focus on the telescoping effect
Reference 45
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.128224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6b978a7d-345b-4622-a8e9-328f8086bc3c · outbound
This paper cites Suicidal ideation and behaviours after traumatic brain injury: A systematic review.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Suicidal ideation and behaviours after traumatic brain injury: A systematic review
Reference 46
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T20:42:04.162437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7964f326-8cc4-4d83-9989-2959aa1dd932 · outbound
This paper cites Posttraumatic stress disorder and suicide risk among veterans: a literature review.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Posttraumatic stress disorder and suicide risk among veterans: a literature review
Reference 47
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.106294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74cde318-17a7-4b6c-978a-16816ec16de0 · outbound
This paper cites Posttraumatic stress disorder as a risk factor for suicidal ideation in iraq and afghanistan war veterans.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Posttraumatic stress disorder as a risk factor for suicidal ideation in iraq and afghanistan war veterans
Reference 48
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.086418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b8fcae01-15e9-40b8-950f-6ea18871e41e · outbound
This paper cites Childhood adversities and suicide attempts: A retrospective study.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Childhood adversities and suicide attempts: A retrospective study
Reference 49
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.066912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eda42cfc-ef92-471a-a8b4-48e5ddb696af · outbound
This paper cites Predictors of suicidal ideation, suicide attempts, and self-harm without lethal intent in a community corrections sample.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Predictors of suicidal ideation, suicide attempts, and self-harm without lethal intent in a community corrections sample
Reference 50
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.047549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 27d5d237-ee7b-4843-8a25-41e05ba26a70 · outbound
This paper cites Personality traits as prospective predictors of suicide attempts.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Personality traits as prospective predictors of suicide attempts
Reference 51
- Resolution
- verified exact
- raw_fallback, observed 2026-08-15T20:42:02.888949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c6fdfd08-ada0-48d8-9137-97dc53e23680 · outbound
This paper cites Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
Reference 52
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.024891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7fb834dd-8af2-4696-ba1d-39f49ed248d8 · outbound
This paper cites The psychology of suicidal behaviour.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review The psychology of suicidal behaviour
Reference 53
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:02.001330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d4a17c51-b7cb-489f-986a-83cd7a56952b · outbound
This paper cites Linguistic variables and gender differences within a messenger-based psychosocial chat counseling service for children and adolescents: Cross-sectional study.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Linguistic variables and gender differences within a messenger-based psychosocial chat counseling service for children and adolescents: Cross-sectional study
Reference 54
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T20:42:04.136310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5987fff8-0c26-46ee-99fa-f4e0bcf76666 · outbound
This paper cites Translating promise into practice: a review of machine learning in suicide research and prevention.
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review Translating promise into practice: a review of machine learning in suicide research and prevention
Reference 55
- Resolution
- verified exact
- doi, observed 2026-08-15T20:42:01.979270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.