Paper Citation Record · LEDGER

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.01353.

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

pith.paper-citation-record.v1
2412.01353 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:29:04.794893Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

verified exact4
verified fuzzy5
unresolved16
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10881666-c6b3-4aa5-b4b8-27adc6dd1d4a · outbound

This paper cites Suicide.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Suicide

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:29:05.674937Z

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 32dca303-591c-4346-9139-c54f6e3ba363 · outbound

This paper cites A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.663697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4574f3b-eff0-4a05-bf83-637a7bef9a46 · outbound

This paper cites Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.669987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a50242-bbee-402a-b3fb-bf78abf9f925 · outbound

This paper cites Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.674914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4606a183-5e9a-45a5-9bc9-3761d60636b9 · outbound

This paper cites Suicide Risk Assessment with Multi-level Dual-Context Language and BERT,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Suicide Risk Assessment with Multi-level Dual-Context Language and BERT,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.680419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f06349a0-5064-4f5c-8117-a10a32885dc3 · outbound

This paper cites Robust suicide risk assessment on social media via deep adversarial learning,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Robust suicide risk assessment on social media via deep adversarial learning,

Reference 6

Resolution: verified exact; doi, observed 2026-08-12T04:29:04.954014Z

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 53186930-e327-4382-9770-ae5ef3170bf2 · outbound

This paper cites Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.690431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc44d91e-8d1a-4070-9e95-60a90f6dc978 · outbound

This paper cites CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.694862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22cc49a-505b-47e1-af9a-40f11edbaf11 · outbound

This paper cites ConvSent at CLPsych 2019 Task A: Using Post-level Sentiment Features for Suicide Risk Prediction on Reddit,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models ConvSent at CLPsych 2019 Task A: Using Post-level Sentiment Features for Suicide Risk Prediction on Reddit,

Reference 9

Resolution: verified exact; doi, observed 2026-08-12T04:29:04.919871Z

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 a9906f9a-d4ec-4a7a-8647-b24fb7e7b139 · outbound

This paper cites Predicting Suicide Risk from Online Postings in Reddit The UGent-IDLab submission to the CLPysch 2019 Shared Task A,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Predicting Suicide Risk from Online Postings in Reddit The UGent-IDLab submission to the CLPysch 2019 Shared Task A,

Reference 10

Resolution: verified exact; doi, observed 2026-08-12T04:29:04.905077Z

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 87620fb2-698a-4917-bd05-57b8e324e554 · outbound

This paper cites Stacked CNN - LSTM approach for prediction of suicidal ideation on social media,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Stacked CNN - LSTM approach for prediction of suicidal ideation on social media,

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-12T04:29:04.708158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0963ac01-7703-4b45-87e9-5114a7e975ab · outbound

This paper cites A self-attention TCN- based model for suicidal ideation detection from social media posts,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models A self-attention TCN- based model for suicidal ideation detection from social media posts,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T04:29:05.600340Z

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 562a0b8f-13f9-4560-a4b6-1d447895e5d5 · outbound

This paper cites Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.717607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c7715a-dd73-42a8-9f75-b9f8f316def9 · outbound

This paper cites GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs and Scholarly Papers,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs and Scholarly Papers,

Reference 15

Resolution: malformed identifier; doi_truncated, observed 2026-08-12T04:29:04.864585Z

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 2583bc80-c7f5-4352-9ba3-915f6bd2a61e · outbound

This paper cites Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.731476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4c266d-2f77-4f38-807f-f097ad126b50 · outbound

This paper cites SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q &A,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q &A,

Reference 17

Resolution: verified exact; doi, observed 2026-08-12T04:29:04.879704Z

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 3cb19b4b-70b3-434a-a47a-832c57bea426 · outbound

This paper cites ExCEDA: Unlocking Attention Paradigms in Ex- tended Duration E-Classrooms by Leveraging Attention-Mechanism Models,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models ExCEDA: Unlocking Attention Paradigms in Ex- tended Duration E-Classrooms by Leveraging Attention-Mechanism Models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.740975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f691eb9-87f2-4ec0-aabb-5d04becdfc3b · outbound

This paper cites XinHai@CLPsych 2024 Shared Task: Prompting Healthcare-oriented LLMs for Evidence High- lighting in Posts with Suicide Risk,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models XinHai@CLPsych 2024 Shared Task: Prompting Healthcare-oriented LLMs for Evidence High- lighting in Posts with Suicide Risk,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:29:05.659329Z

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 d8cdf421-2259-4597-8186-d2fefeebba8e · outbound

This paper cites Overview of the CLPsych 2024 Shared Task: Leverag- ing Large Language Models to Identify Evidence of Suicidality Risk in Online Posts,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Overview of the CLPsych 2024 Shared Task: Leverag- ing Large Language Models to Identify Evidence of Suicidality Risk in Online Posts,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:29:05.644696Z

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 c8391f4b-c99d-481c-a8df-1a6c7d8754c5 · outbound

This paper cites Utilizing Large Lan- guage Models to Identify Evidence of Suicidality Risk through Anal- ysis of Emotionally Charged Posts,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Utilizing Large Lan- guage Models to Identify Evidence of Suicidality Risk through Anal- ysis of Emotionally Charged Posts,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:29:05.629583Z

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 38c0f053-35d1-4be0-af46-acf1761b7116 · outbound

This paper cites Suicide risk level prediction and suicide trigger detection: a benchmark dataset.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Suicide risk level prediction and suicide trigger detection: a benchmark dataset

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:29:05.615173Z

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 ae93d828-4392-4179-af12-4ae612021ada · outbound

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

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.764146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc6fdce-4a32-4d95-bb1d-8771a9c27a05 · outbound

This paper cites Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.770428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a27135b-4a0a-4bb6-8ec7-e346c9b2fe3d · outbound

This paper cites Data Augmentation using Pre-trained Transformer Models.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Data Augmentation using Pre-trained Transformer Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.775587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653bbe24-861c-4829-83cb-7855b93e95fb · outbound

This paper cites A Multimodal Approach for Mania Level Prediction in Bipolar Disorder,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models A Multimodal Approach for Mania Level Prediction in Bipolar Disorder,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.780460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd4370c-cac2-44b6-9fcc-84956e446fe7 · outbound

This paper cites Text-based Interpretable Depression Severity Modeling via Symptom Predictions,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Text-based Interpretable Depression Severity Modeling via Symptom Predictions,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.785123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8963beb7-7a0c-43f4-8ee9-ea73cdac992a · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.789603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da826263-4943-4027-92d6-23e521377441 · outbound

This paper cites Unsupervised word sense disambiguation rivaling supervised methods,.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Unsupervised word sense disambiguation rivaling supervised methods,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T04:29:04.794893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.