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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

38 of 38 outbound references displayed

verified exact0
verified fuzzy16
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External citation measurements

No source-named external measurement is stored.

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

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:24:23.722087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.708431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:24:23.694955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.680729Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.664106Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.651401Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.638921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.626207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.613087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.942232Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.591701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.578078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.955010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.959354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.963645Z

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.539434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.525282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.976191Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.980266Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.495335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.481550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.992867Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:22.996931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.001073Z

Source-reported events for the cited work

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Observation 5f0847b2-8cd1-4a4a-b7dd-37fc4ec33a5f · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.005146Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.009249Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.013908Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.018042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.021977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.026090Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.030174Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.033879Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:24:23.408382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:24:23.041519Z

Source-reported events for the cited work

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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 2026-08-13T06:32:02.005865+00:00.

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 2026-08-13T06:32:02.005865+00:00.

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.

Pith citing papers

No inbound Pith citation observations are available.