Paper Citation Record · LEDGER

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.19511.

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

pith.paper-citation-record.v1
2507.19511 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:43:48.406848Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f28b084-52ec-4b89-8b03-a89119b19189 · outbound

This paper cites an unresolved cited work.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:43:55.031078Z

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Observation 0258b879-f655-475a-a180-f69f0fd4e4fb · outbound

This paper cites Mortality associated with mental disorders and comorbid general medical conditions,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Mortality associated with mental disorders and comorbid general medical conditions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:54.902963Z

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Observation 2aa86b17-d73a-42d7-a711-b3a3d3263c32 · outbound

This paper cites Quantifying the global burden of mental disorders and their economic value,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Quantifying the global burden of mental disorders and their economic value,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:54.749684Z

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Observation 5ca0a4da-dff9-4386-bb92-3d6df7aca846 · outbound

This paper cites Investigating the role of social media on mental health,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Investigating the role of social media on mental health,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:54.598937Z

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Observation 9453729c-ef74-4dee-a56b-a4be8d0c430f · outbound

This paper cites A review of machine learning and deep learning approaches on mental health diagnosis,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media A review of machine learning and deep learning approaches on mental health diagnosis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:54.345588Z

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Observation b4a33a2c-391a-4786-aa5b-484a19282090 · outbound

This paper cites Advantage and drawback of support vector machine function- ality,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Advantage and drawback of support vector machine function- ality,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:54.191298Z

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Observation c6dc517d-1f0a-4982-beee-af402ac8c131 · outbound

This paper cites Classification of mental stress using cnn-lstm algorithms with electrocardiogram signals,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Classification of mental stress using cnn-lstm algorithms with electrocardiogram signals,

Reference 7

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Observation 6b69d2ab-52ca-45bd-b94c-2ac008503119 · outbound

This paper cites Review of text classification methods on deep learning.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Review of text classification methods on deep learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:54.022512Z

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Observation b6638c43-dfb6-41f5-b9c2-b47d30a3585b · outbound

This paper cites Tunstall, L.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Tunstall, L

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:53.821528Z

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Observation 072f544d-39fc-4bf2-bbcc-3bb84eac6890 · outbound

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Limitations of transformers on clinical text classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:53.620868Z

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Observation 2ee9cb82-bdb5-4371-9709-eb11dd6d718c · outbound

This paper cites Machine learning for mental health in social media: bibliometric study,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Machine learning for mental health in social media: bibliometric study,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:53.488766Z

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Observation 9471953c-2830-411e-9ae2-2a3188c134bf · outbound

This paper cites From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses,

Reference 12

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Observation 7e6727f4-9b29-4ba1-be03-a243d7f0b865 · outbound

This paper cites Text classification algorithms: A survey,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Text classification algorithms: A survey,

Reference 13

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Observation d62b1afc-7c1d-4f32-b161-8ed0edf1430c · outbound

This paper cites Predicting depression via social media,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Predicting depression via social media,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:53.304164Z

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Observation 87df2717-e12f-4ba3-81d8-a57baba6c01e · outbound

This paper cites Recognizing depression from twitter activity,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Recognizing depression from twitter activity,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:53.160341Z

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Observation 1d6c1422-af62-4dfd-a95c-4f50f47d8c40 · outbound

This paper cites Serein-m: Sensor relationship inference in multi-resident smart homes,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Serein-m: Sensor relationship inference in multi-resident smart homes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:52.945531Z

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Observation f1e62a67-94b9-44da-aef3-e5d839d24ac2 · outbound

This paper cites Mental health analysis in social media posts: a survey,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Mental health analysis in social media posts: a survey,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:52.829609Z

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Observation 132b4cb7-1383-4897-a29a-b5499ac3b1e0 · outbound

This paper cites Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:43:49.640709Z

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 19

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This paper cites A comparative analysis of transformer and lstm models for detecting suicidal ideation on reddit,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media A comparative analysis of transformer and lstm models for detecting suicidal ideation on reddit,

Reference 20

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media A fine-tuned bert-based transfer learning approach for text classification,

Reference 21

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This paper cites Beyond lda: exploring supervised topic modeling for depression-related language in twitter,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Beyond lda: exploring supervised topic modeling for depression-related language in twitter,

Reference 22

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Mining developer questions about major nosql databases,

Reference 23

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Topic modeling in embedding spaces,

Reference 24

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Observation d22b4bfa-2941-4506-b762-4b0c77c09d62 · outbound

This paper cites A coefficient of agreement for nominal scales,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media A coefficient of agreement for nominal scales,

Reference 25

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This paper cites Reliability in content analysis: Some common misconceptions and recommendations,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Reliability in content analysis: Some common misconceptions and recommendations,

Reference 26

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This paper cites Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Reference 27

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media A comparative study of software development practices in bangladesh, an emerging country,

Reference 28

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Quantifying the language of schizophrenia in social media,

Reference 29

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This paper cites Understanding mental health issues in different subdomains of social networking services: computa- tional analysis of text-based reddit posts,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Understanding mental health issues in different subdomains of social networking services: computa- tional analysis of text-based reddit posts,

Reference 30

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This paper cites SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions,.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions,

Reference 31

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media TextRank: Bringing order into text,

Reference 32

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Building a large annotated corpus of english: The penn treebank,

Reference 33

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media La- tent dirichlet allocation (lda) and topic modeling: models, applications, a survey,

Reference 34

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media What’s all the talk about? topic modeling in a mental health internet support group,

Reference 35

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media A survey-based qualitative study to characterize expectations of software developers from five stakeholders,

Reference 36

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media The measurement of observer agreement for categorical data,

Reference 37

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Reliability of content analysis: The case of nominal scale coding,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:50.484732Z

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

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 39

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 40

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Albert: A lite bert for self-supervised learning of language representations,

Reference 41

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Electra: Pre-training text encoders as discriminators rather than generators,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:43:49.933191Z

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Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Decoupled Weight Decay Regularization

Reference 43

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This paper cites Available: http://www.jstor.org/stable/2746450.

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media Available: http://www.jstor.org/stable/2746450

Reference 1955

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Pith citing papers

No inbound Pith citation observations are available.