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Paper Citation Record · LEDGER

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.15404.

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

pith.paper-citation-record.v1
2411.15404 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:24:23.056463Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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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

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation ff84a3c0-544b-4ab7-ab9c-8eb80095e339 · outbound

This paper cites an unresolved cited work.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Unresolved cited work

Reference 1

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Observation 3fd7bf5c-bae3-4b16-a9ad-20ddd8cb1029 · outbound

This paper cites Suicide and suicidal behavior,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Suicide and suicidal behavior,

Reference 2

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Observation f43e35e2-7059-4bb5-891a-5a9c244ff87a · outbound

This paper cites an unresolved cited work.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Unresolved cited work

Reference 3

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Observation 763b94c0-d65c-478d-be40-b8277e36cae6 · outbound

This paper cites Stibich, Top 10 Causes of Death for Americans Ages 20 to 24 , 2024.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Stibich, Top 10 Causes of Death for Americans Ages 20 to 24 , 2024

Reference 4

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Observation 9f7728cc-b162-4d34-b285-e611df15015a · outbound

This paper cites Discovering shifts to suicidal ideation from mental health content in social media,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Discovering shifts to suicidal ideation from mental health content in social media,

Reference 5

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Observation f4600107-42a6-4e15-bc32-b1a8561220ca · outbound

This paper cites Utilizing social media data for pharmacovigilance: A review,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Utilizing social media data for pharmacovigilance: A review,

Reference 6

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Observation 536b9539-387f-4e0e-b9d5-82b689df2549 · outbound

This paper cites Evaluation of different ma- chine learning and deep learning techniques for hate speech detection,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Evaluation of different ma- chine learning and deep learning techniques for hate speech detection,

Reference 7

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Source-reported events for the cited work

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Observation 329a797a-58bc-4e28-9d4e-6a84a333e7cd · outbound

This paper cites A survey-based qualitative study to characterize expectations of software developers from five stakeholders,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit A survey-based qualitative study to characterize expectations of software developers from five stakeholders,

Reference 8

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Observation 2cb25bd0-92ed-4fa0-8d25-c4f167cfe846 · outbound

This paper cites A survey on text classification: From traditional to deep learning,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit A survey on text classification: From traditional to deep learning,

Reference 9

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Observation 14b5c9de-34d6-4cd1-b690-dbbdf96dce12 · outbound

This paper cites Comparing bert against traditional machine learning text classification,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Comparing bert against traditional machine learning text classification,

Reference 10

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Source-reported events for the cited work

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Observation 2ae7d429-92ec-4147-976c-27f013ec212a · outbound

This paper cites Limitations of transformers on clinical text classification,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Limitations of transformers on clinical text classification,

Reference 11

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Observation 37e9215e-0fd7-4776-ba4e-f176d6bd7347 · outbound

This paper cites A comparative analysis on suicidal ideation detection using nlp, machine, and deep learning,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit A comparative analysis on suicidal ideation detection using nlp, machine, and deep learning,

Reference 12

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Source-reported events for the cited work

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Observation 15e0c5e0-667c-4628-9725-8c635f95a683 · outbound

This paper cites Predicting depression levels using social media posts,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Predicting depression levels using social media posts,

Reference 13

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Source-reported events for the cited work

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Observation ea46799f-8221-43bd-95ea-7d92d234936a · outbound

This paper cites Predicting depression via social media,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Predicting depression via social media,

Reference 14

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Source-reported events for the cited work

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Observation f8aa2026-7d83-4b7b-bb45-34d2dce43c27 · outbound

This paper cites Recognizing depression from twitter activity,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Recognizing depression from twitter activity,

Reference 15

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Observation d6052165-04e0-4dd8-9b9e-f5aa8fe75993 · outbound

This paper cites Text classification algorithms: A survey,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Text classification algorithms: A survey,

Reference 16

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Source-reported events for the cited work

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Observation 1c3ecf4d-a5eb-416a-ad77-8e10b7b9194f · outbound

This paper cites # suicidal-a multipronged approach to identify and explore suicidal ideation in twitter,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit # suicidal-a multipronged approach to identify and explore suicidal ideation in twitter,

Reference 17

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Source-reported events for the cited work

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Observation 03745c4e-55eb-4cb6-810a-4c1afac85f84 · outbound

This paper cites Hierarchical multiscale recurrent neural networks for detecting suicide notes,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Hierarchical multiscale recurrent neural networks for detecting suicide notes,

Reference 18

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Observation af60d179-2967-4798-86e4-b1eacd3a1f42 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 19

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Observation 4029424b-85ad-4e3c-a9d4-5e629e2589df · outbound

This paper cites A fine-tuned bert-based transfer learning approach for text classification,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit A fine-tuned bert-based transfer learning approach for text classification,

Reference 20

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Observation 9166d18e-8dcf-4d9d-a369-a93c9ff97065 · outbound

This paper cites A quantitative and qualitative analysis of suicide ideation detection using deep learning,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit A quantitative and qualitative analysis of suicide ideation detection using deep learning,

Reference 21

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Source-reported events for the cited work

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Observation eb2d7b21-212c-4d44-af93-ad6d4b9dd80b · outbound

This paper cites Attention- enabled ensemble deep learning models and their validation for de- pression detection: a domain adoption paradigm,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Attention- enabled ensemble deep learning models and their validation for de- pression detection: a domain adoption paradigm,

Reference 22

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Observation 8c13f678-bc90-41ec-a1eb-7fbd4bb87564 · outbound

This paper cites TextRank: Bringing order into text,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit TextRank: Bringing order into text,

Reference 23

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Observation 27b4c5ad-0466-42f2-adb5-b328b691c5b8 · outbound

This paper cites Building a large annotated corpus of english: The penn treebank,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Building a large annotated corpus of english: The penn treebank,

Reference 24

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Observation 277c86ec-b4c8-4dad-bf74-f67249e8f3a3 · outbound

This paper cites La- tent dirichlet allocation (lda) and topic modeling: models, applications, a survey,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit La- tent dirichlet allocation (lda) and topic modeling: models, applications, a survey,

Reference 25

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This paper cites Mining developer questions about major nosql databases,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Mining developer questions about major nosql databases,

Reference 26

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Observation cb884758-0e19-46e8-9b4c-e8ccf2a23cb5 · outbound

This paper cites What’s all the talk about? topic modeling in a mental health internet support group,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit What’s all the talk about? topic modeling in a mental health internet support group,

Reference 27

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Observation c7c71718-d5db-490c-94c9-51d02cf89227 · outbound

This paper cites A comparative study of software development practices in bangladesh, an emerging country,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit A comparative study of software development practices in bangladesh, an emerging country,

Reference 28

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Observation 2e30a58c-eb58-4016-8a83-b707ed68939f · outbound

This paper cites The measurement of observer agreement for categorical data,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit The measurement of observer agreement for categorical data,

Reference 29

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Observation 0911d610-6f0a-435a-8044-c5aea85f6f08 · outbound

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

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 30

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Observation ec347f2c-fb94-4d1f-85e6-459cdd0f9d22 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 31

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Observation eaa84cb9-c2a3-4c36-98a9-e12e5085bfd4 · outbound

This paper cites Albert: A lite bert for self-supervised learning of language representations,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Albert: A lite bert for self-supervised learning of language representations,

Reference 32

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Observation 358f2407-11d2-4f69-bca1-6ef2f677c4f4 · outbound

This paper cites Electra: Pre-training text encoders as discriminators rather than generators,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Electra: Pre-training text encoders as discriminators rather than generators,

Reference 33

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Observation bc525e0c-61b7-49bd-ad14-51d0d9e51fcb · outbound

This paper cites [Online].

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit [Online]

Reference 34

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Observation c18b9445-774a-4d46-b4f6-622f4b000657 · outbound

This paper cites Decoupled Weight Decay Regularization.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Decoupled Weight Decay Regularization

Reference 35

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Observation 45ef495d-4897-4c93-872e-f568c8496177 · outbound

This paper cites Improving skip-gram embeddings using bert,.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Improving skip-gram embeddings using bert,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:24:23.395023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:24:23.046335Z digest=sha256:466cd8a83122e58b78f4006cec995972cda382b06657d69018b960867a8ba0af

Observation 08ac5b97-1923-4dac-b9ea-41fce60a6ac1 · outbound

This paper cites Ekma, Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Trans- formers Using TensorFlow.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Ekma, Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Trans- formers Using TensorFlow

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:24:23.380283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:24:23.050879Z digest=sha256:5d35d9f91e6b0e2f2158277d428fff2acb36bfd26ff0eef0eaf4c4ac61e509c7

Observation e3d6e0fe-c2a6-4d55-90bb-3b1547290a60 · outbound

This paper cites Comparative Analysis of Word Embeddings for Capturing Word Similarities.

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit Comparative Analysis of Word Embeddings for Capturing Word Similarities

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T14:24:23.056463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:24:23.056463Z digest=sha256:16449f141dc49a9ccb04f8d682e82bf5717dc1bbc78a8038478e9879754f8bb1

Pith citing papers

No inbound Pith citation observations are available.