Paper Citation Record · LEDGER

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.17009.

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

pith.paper-citation-record.v1
2507.17009 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:02:32.006777Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy33
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d65eb9f4-9e30-47cc-99b5-62cd3670ca3d · outbound

This paper cites an unresolved cited work.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:02:32.383333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1c1e519-12da-48af-8b1e-c83a6868b825 · outbound

This paper cites an unresolved cited work.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:02:32.375467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ab05a72-6d9a-41fe-b91c-920614d78d76 · outbound

This paper cites We extend the classical confusion matrix to the power- set setting, enabling granular inspection of hallucination (false-positive) versus omission (false- negative) patterns.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors We extend the classical confusion matrix to the power- set setting, enabling granular inspection of hallucination (false-positive) versus omission (false- negative) patterns

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.367329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e51c728d-935c-44fd-a402-71c2ee61f63d · outbound

This paper cites Suicidal Ideation.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Suicidal Ideation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.358977Z

Source-reported events for the cited work

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Observation aa4f411f-76fc-4072-8936-577b96d5ca05 · outbound

This paper cites Suicide worldwide in 2019: global health estimates, (2021).

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Suicide worldwide in 2019: global health estimates, (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.350478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ed3a54d-6bba-40de-897c-c0af1c23fed9 · outbound

This paper cites an unresolved cited work.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:02:32.341906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6590f75e-0a7b-44ee-a7c9-15bfe99925b6 · outbound

This paper cites Preventing suicide: A global imperative, (2014).

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Preventing suicide: A global imperative, (2014)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.333875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d22f52c0-3e3e-4258-9c51-9502da4e5b2e · outbound

This paper cites Suicide Data and Statistics.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Suicide Data and Statistics

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.325199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 324271c9-8e46-4a6a-8fba-4c7a52b6dd3e · outbound

This paper cites & Pirkis, J.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Pirkis, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.316996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e512416-80c5-4966-9348-475850ed3c6b · outbound

This paper cites Predicting suicide following self-harm: systematic review of risk factors and risk scales.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Predicting suicide following self-harm: systematic review of risk factors and risk scales

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.309027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa285449-021f-429e-920a-9c4086fdcb87 · outbound

This paper cites Association of suicidal behavior with exposure to suicide and suicide attempt: A systematic review and multilevel meta-analysis.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Association of suicidal behavior with exposure to suicide and suicide attempt: A systematic review and multilevel meta-analysis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.300339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ee84b16-36c4-477c-9f40-8928200f5945 · outbound

This paper cites & Large, M.M.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Large, M.M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.291527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 133b0e8f-426c-41b9-b4cb-b6e9740d5c7b · outbound

This paper cites Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.283415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81829199-e694-4aa1-b663-5bdfe646941d · outbound

This paper cites Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.274779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c9569ab-2519-4100-b043-36f01fe9084c · outbound

This paper cites Comparisons of deep learning and machine learning while using text mining methods to identify suicide attempts of patients with mood disorders.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Comparisons of deep learning and machine learning while using text mining methods to identify suicide attempts of patients with mood disorders

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.266912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6da741e-1064-4f56-810d-572d522b1469 · outbound

This paper cites an unresolved cited work.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:02:32.258381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f9137d9-4a90-4bff-8d67-7474d6a7987f · outbound

This paper cites & Hechter Rulin, C.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Hechter Rulin, C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.250634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1c2c9b7-df0a-47ef-abd1-55b98485cf79 · outbound

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Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Chan, L.F

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.243005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4e215aa-edda-4269-aaaa-90dea82eb77a · outbound

This paper cites Large language models encode clinical knowledge.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Large language models encode clinical knowledge

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.234482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0af92754-a997-408d-aad0-9371e87f8dd0 · outbound

This paper cites Large language models in medicine.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Large language models in medicine

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.225622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd92894f-a269-4e37-96db-6a5064a2ee72 · outbound

This paper cites Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.217689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3e4d0c2-c864-40e2-ae0f-13974ffe9164 · outbound

This paper cites Large Language Models: A Survey.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Large Language Models: A Survey

Reference 22

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Source-reported events for the cited work

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Observation d322ce49-7849-4a57-87ea-a86d0965a1ba · outbound

This paper cites & Rouhizadeh, M.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Rouhizadeh, M

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.209086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e56271a-2fd3-49ae-b2ad-e3f5e576a27d · outbound

This paper cites Social determinants of health extraction from clinical notes across institutions using large language models.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Social determinants of health extraction from clinical notes across institutions using large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.200511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0465ae45-a8f0-464e-9e14-53167117761b · outbound

This paper cites The interpersonal theory of suicide.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors The interpersonal theory of suicide

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.191609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc69f3de-ddc2-42c2-8363-76e440a2f2c2 · outbound

This paper cites The interpersonal theory of suicide: A systematic review and meta- analysis of a decade of cross-national research.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors The interpersonal theory of suicide: A systematic review and meta- analysis of a decade of cross-national research

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.183612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3d80cd6-c75b-4f30-9e3b-8f2d457049bb · outbound

This paper cites SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.175085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 153e9b6f-49f6-4666-86e8-adef3d2db043 · outbound

This paper cites & Zhou, Z.-H.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Zhou, Z.-H

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.166149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 471f40f8-1dbd-4c6b-bb3f-36bce46a2e81 · outbound

This paper cites & Tsang, I.W.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Tsang, I.W

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.157354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bd9c8cb-85e3-447e-840b-08a57f527563 · outbound

This paper cites & Kocev, D.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Kocev, D

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.148802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20481a30-64bd-4b55-b865-2c73f0aa30f4 · outbound

This paper cites Classifying patient portal messages using Convolutional Neural Networks.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Classifying patient portal messages using Convolutional Neural Networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.140115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46535e37-9f71-4eff-aa9e-85f55c0e3b72 · outbound

This paper cites Text-to-Table: A New Way of Information Extraction.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Text-to-Table: A New Way of Information Extraction

Reference 32

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Source-reported events for the cited work

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Observation e3c39519-aca7-4afd-a8aa-51471b79d318 · outbound

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Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors & Malik, M.K

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.131283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f37bfd94-0137-46c4-ae68-5b40977e5ac8 · outbound

This paper cites Clinical information extraction applications: a literature review.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Clinical information extraction applications: a literature review

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.121937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb06c4e4-10fd-47c2-b29b-c1eb6f8adf6b · outbound

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Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Clinical concept extraction: a methodology review

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.111585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3147f9c-e2b1-4f68-825a-67a0d027b028 · outbound

This paper cites Improving large language models for clinical named entity recognition via prompt engineering.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Improving large language models for clinical named entity recognition via prompt engineering

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.102765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96143ec6-df60-4b6d-8985-bb705a521138 · outbound

This paper cites Structured information extraction from scientific text with large language models.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Structured information extraction from scientific text with large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.093422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 406be26f-748a-4062-be36-36b273264e1e · outbound

This paper cites University of Minnesota (2021).

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors University of Minnesota (2021)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.084297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c92fb9c6-5c0c-48d7-80ef-fe57bbb986ff · outbound

This paper cites Meta-analysis of Cohen’s kappa.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Meta-analysis of Cohen’s kappa

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:32.075072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53d2bbef-e4ed-412c-bf92-5d2b203a52d0 · outbound

This paper cites Language Models are Few-Shot Learners.

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors Language Models are Few-Shot Learners

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:32.003385Z

Source-reported events for the cited work

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Observation a524a724-55f8-4d4f-9418-3ea29785ac14 · outbound

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Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors GPT-4 Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:32.006777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.