Paper Citation Record · LEDGER

Cross-Demographic Portability of Deep NLP-Based Depression Models

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.19070.

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

pith.paper-citation-record.v1
2412.19070 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:02:47.449870Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

43 of 43 outbound references displayed

verified exact2
verified fuzzy33
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2fd40d0-2985-4803-819f-302011671e25 · outbound

This paper cites Depression causes a heavy economic and societal burden.

Cross-Demographic Portability of Deep NLP-Based Depression Models Depression causes a heavy economic and societal burden

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.843900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1bb3819-4dc7-4a12-82e8-5189fd7d7f9a · outbound

This paper cites concerns.

Cross-Demographic Portability of Deep NLP-Based Depression Models concerns

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.825139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9e7f83b-da58-4ee8-a991-e5a1b3122453 · outbound

This paper cites Various methods can be used for tokenization [32][33].

Cross-Demographic Portability of Deep NLP-Based Depression Models Various methods can be used for tokenization [32][33]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.816107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1c0f4a1-9317-489c-bc22-8d5d0458445f · outbound

This paper cites Because depression is under-diagnosed, there is a pressing need for efficient, cost-effective screening and monitoring [6].

Cross-Demographic Portability of Deep NLP-Based Depression Models Because depression is under-diagnosed, there is a pressing need for efficient, cost-effective screening and monitoring [6]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.834817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56d0d911-1495-439e-9285-c7622f0d3931 · outbound

This paper cites an unresolved cited work.

Cross-Demographic Portability of Deep NLP-Based Depression Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:02:47.805490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2689e9a6-8780-4561-bcde-3cf829a9e923 · outbound

This paper cites an unresolved cited work.

Cross-Demographic Portability of Deep NLP-Based Depression Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:02:47.777833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef571248-a8e9-4e56-937a-ef8dedaf5240 · outbound

This paper cites an unresolved cited work.

Cross-Demographic Portability of Deep NLP-Based Depression Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:02:47.787497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ceedb99-3f7c-4790-b322-b63f8fe5a469 · outbound

This paper cites Emotion recognition on speech signals using machine learning,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Emotion recognition on speech signals using machine learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.731760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e40522e8-4415-4190-8017-ce72cd404f55 · outbound

This paper cites Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010,

Reference 9

Resolution: verified exact; doi, observed 2026-08-11T01:02:47.496630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a90732cb-13be-4e25-8358-4f6ee5399352 · outbound

This paper cites Geneva, Switzerland: World Health Organization, 2017.

Cross-Demographic Portability of Deep NLP-Based Depression Models Geneva, Switzerland: World Health Organization, 2017

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.770124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47780ff2-806e-4d85-8ebd-8fe4c96ee429 · outbound

This paper cites https://www.nimh.nih.gov.

Cross-Demographic Portability of Deep NLP-Based Depression Models https://www.nimh.nih.gov

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.762758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 90ec5510-6b41-4e68-8a9b-ed947ef148f0 · outbound

This paper cites Lay be liefs about causes of depression,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Lay be liefs about causes of depression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.755458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42297707-a608-4032-b358-afa4c683cd43 · outbound

This paper cites Changes in sleep pattern, sense of time, and digital media use during COVID-19 lockdown in Italy,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Changes in sleep pattern, sense of time, and digital media use during COVID-19 lockdown in Italy,

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T01:02:47.486819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54922d8d-d45d-4579-a308-949589136108 · outbound

This paper cites The psychometric properties of depression screening tools in primary healthcare settings: A systema tic review,.

Cross-Demographic Portability of Deep NLP-Based Depression Models The psychometric properties of depression screening tools in primary healthcare settings: A systema tic review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.748410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e258a252-59fb-4682-bc89-b7d9d871f248 · outbound

This paper cites Speech recognition by machines and humans,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Speech recognition by machines and humans,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.740445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6278700-5dcb-460b-9d07-75f9e00f70df · outbound

This paper cites Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.659502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45d0b174-455d-46c2-8840-57e96793ed28 · outbound

This paper cites Automated computerized analysis of speech in psychiatric disorders,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Automated computerized analysis of speech in psychiatric disorders,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.723114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11799582-1b2a-49af-84e9-70106db3b46e · outbound

This paper cites Deep Learning for Depression Detection of Twitter User s,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Deep Learning for Depression Detection of Twitter User s,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.713949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0f63afa-f2d3-440f-9852-ab92275684d4 · outbound

This paper cites Depression and Self- Harm Risk Assessment in Online Forums,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Depression and Self- Harm Risk Assessment in Online Forums,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.705041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a7d8556-5742-481e-a821-8e5f2c1f623c · outbound

This paper cites Voices of fear and anxiety and sadness and depression: The effects of speech rate and loudness on fear and anxiety and sadness and depression,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Voices of fear and anxiety and sadness and depression: The effects of speech rate and loudness on fear and anxiety and sadness and depression,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.696079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2254ed7-bc6a-4a89-b797-1a939ac0d5a9 · outbound

This paper cites Detecting depression with Audio/Text Sequence Modeling of Interviews,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Detecting depression with Audio/Text Sequence Modeling of Interviews,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.686022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a8cfd9e-548b-4e96-8f71-c9e1a0ed0f88 · outbound

This paper cites Hybrid Depression Classification and Estimation from Audio Video and Text Information,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Hybrid Depression Classification and Estimation from Audio Video and Text Information,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.677558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04389b9e-ea43-4cb5-bf5d-81053c5bb8fe · outbound

This paper cites Detecting depression from facial actions and vocal prosody,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Detecting depression from facial actions and vocal prosody,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.667896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e692ad31-9ff1-4bed-bd62-49b9cc5d0766 · outbound

This paper cites Optimizing Speech-Input Length for Speaker-Independent Depression Classification,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Optimizing Speech-Input Length for Speaker-Independent Depression Classification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.590479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dca0e5f9-818e-445a-92b4-89476e66e48c · outbound

This paper cites The Age of Artificial Emotional Intelligence,.

Cross-Demographic Portability of Deep NLP-Based Depression Models The Age of Artificial Emotional Intelligence,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.652155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d90b508-75bc-47e1-92d3-3e30938e430e · outbound

This paper cites Natural Language Processing Methods for Acoustic and Landmark Event-based Features in Speech-based Depression Detection,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Natural Language Processing Methods for Acoustic and Landmark Event-based Features in Speech-based Depression Detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.644723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1bcfada8-819b-4b62-b201-24cf2229922d · outbound

This paper cites Towards an Integrated Understanding of Speaking Rate in Conversation,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Towards an Integrated Understanding of Speaking Rate in Conversation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.637123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b96c62f0-d343-429a-ba6e-d88e70026861 · outbound

This paper cites State of Mind: Classification through Self- reported Affect and Word Use in Speech,.

Cross-Demographic Portability of Deep NLP-Based Depression Models State of Mind: Classification through Self- reported Affect and Word Use in Speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.628472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d58f162-36bb-4bfe-95b9-69869dda7583 · outbound

This paper cites The Distress Analysis Interview Corp us of human and computer interviews,.

Cross-Demographic Portability of Deep NLP-Based Depression Models The Distress Analysis Interview Corp us of human and computer interviews,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.618401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e9341ff-a2ea-4709-8cd6-64e83d092870 · outbound

This paper cites Beyond Age.

Cross-Demographic Portability of Deep NLP-Based Depression Models Beyond Age

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.796556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00c58472-6aaf-43f6-ba95-1eb50c661686 · outbound

This paper cites AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross- Cultural Affect Recognition,.

Cross-Demographic Portability of Deep NLP-Based Depression Models AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross- Cultural Affect Recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.609115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ac57c7e-a146-4fe7-a2ba-b735c4343cfb · outbound

This paper cites AVEC 2017: Real-life Depression and Affect Recognition Workshop and Challenge,.

Cross-Demographic Portability of Deep NLP-Based Depression Models AVEC 2017: Real-life Depression and Affect Recognition Workshop and Challenge,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.599532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81ce9287-81d8-4bcf-90b2-27e100b22dac · outbound

This paper cites Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:47.415977Z

Source-reported events for the cited work

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Observation 2ef0e128-7977-43fc-b426-c4a933022509 · outbound

This paper cites Distributed Representations of Words and Phrases and their Compositionality,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Distributed Representations of Words and Phrases and their Compositionality,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.580949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 651388ba-6164-4253-b682-6bb6525a0dad · outbound

This paper cites GloVe: Global Vectors for Word Representation,.

Cross-Demographic Portability of Deep NLP-Based Depression Models GloVe: Global Vectors for Word Representation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.571320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5f392a6-00d7-4582-ba2c-381c6bf5d45c · outbound

This paper cites How Transferable are Neural Networks in NLP Applications?,.

Cross-Demographic Portability of Deep NLP-Based Depression Models How Transferable are Neural Networks in NLP Applications?,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.562187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7680a36f-6aab-4130-9379-706599cd5234 · outbound

This paper cites Regularizing and Optimizing LSTM Language Models.

Cross-Demographic Portability of Deep NLP-Based Depression Models Regularizing and Optimizing LSTM Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:47.429685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29d6aca-7c56-4b08-9897-bacc401d5dcf · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Cross-Demographic Portability of Deep NLP-Based Depression Models Universal Language Model Fine-tuning for Text Classification

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:47.433233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e2aec1-e525-4fa1-8098-e3bc81328dc3 · outbound

This paper cites Pointer Sentinel Mixture Models.

Cross-Demographic Portability of Deep NLP-Based Depression Models Pointer Sentinel Mixture Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:47.436962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5078388-f43f-4530-8776-0cb17609cbb1 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Cross-Demographic Portability of Deep NLP-Based Depression Models Neural Machine Translation of Rare Words with Subword Units

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:47.440457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a42b8b4-2ad9-403d-aea9-918a744c77e7 · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.553657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ba38591-cd40-4a6a-8145-d469ba9baedf · outbound

This paper cites Automatic Assessment of Depression Fro m Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders,.

Cross-Demographic Portability of Deep NLP-Based Depression Models Automatic Assessment of Depression Fro m Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.544967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63c2db24-3109-41e8-b91c-769226145c7f · outbound

This paper cites An Experimental Comparison of Performance Measures for Classification,.

Cross-Demographic Portability of Deep NLP-Based Depression Models An Experimental Comparison of Performance Measures for Classification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:47.536568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.