Paper Citation Record · LEDGER

Robust Speech and Natural Language Processing Models for Depression Screening

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.19072.

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

pith.paper-citation-record.v1
2412.19072 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:02:52.641829Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy17
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7af4f046-3622-408d-a0cc-b9535dd372a4 · outbound

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

Robust Speech and Natural Language Processing Models for Depression Screening Geneva, Switzerland: World Health Organization, 2017, pp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.982319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d22e836-72dc-4f3f-8cd0-c8433c51092e · outbound

This paper cites Major depressive disorder,.

Robust Speech and Natural Language Processing Models for Depression Screening Major depressive disorder,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.969230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da17863f-fbc9-4f01-b12b-42516c014dd2 · outbound

This paper cites A Review of Depression and Suicide Risk Assessment Using Speech Analysis,.

Robust Speech and Natural Language Processing Models for Depression Screening A Review of Depression and Suicide Risk Assessment Using Speech Analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.956118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c01e3101-9abf-4524-b697-cd3ef9932379 · outbound

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

Robust Speech and Natural Language Processing Models for Depression Screening Hybrid Depression Classification and Estimation from Audio, Video and Text Information,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.942740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1bcdf13-7b9a-411b-822f-b581ecc3d2ad · outbound

This paper cites Detecting Depression using Vocal, Facial and Semantic Communication Cues,.

Robust Speech and Natural Language Processing Models for Depression Screening Detecting Depression using Vocal, Facial and Semantic Communication Cues,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.929251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bcfcb01-83f7-427c-a7d7-6f5e1c244486 · outbound

This paper cites Using Topic Modeling to Improve Prediction of Neuroticism and Depression,.

Robust Speech and Natural Language Processing Models for Depression Screening Using Topic Modeling to Improve Prediction of Neuroticism and Depression,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.914871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55a6c0bf-f7b7-4322-ba24-604d55614a75 · outbound

This paper cites Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text,.

Robust Speech and Natural Language Processing Models for Depression Screening Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.902248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14f9c497-e827-4377-aeea-5c5911248715 · outbound

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

Robust Speech and Natural Language Processing Models for Depression Screening AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:52.579063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77480ff8-7298-48e1-a527-52e8b2f708cd · outbound

This paper cites CLPsych 2015 Shared Task: Depression and PTSD on Twitter,.

Robust Speech and Natural Language Processing Models for Depression Screening CLPsych 2015 Shared Task: Depression and PTSD on Twitter,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.889700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6a7d134-bd50-4cb1-9734-850eff9f3050 · outbound

This paper cites AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge.

Robust Speech and Natural Language Processing Models for Depression Screening AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:52.587400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2d1e28-404d-4b20-b70e-e59f54db78c8 · outbound

This paper cites AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge,.

Robust Speech and Natural Language Processing Models for Depression Screening AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.876773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76af2ab4-3da7-4773-b66d-d632a80e13a8 · outbound

This paper cites The PHQ-8 as a Measure of Current Depression in the General Population,.

Robust Speech and Natural Language Processing Models for Depression Screening The PHQ-8 as a Measure of Current Depression in the General Population,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.864155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49467bdd-ec3f-488a-b915-b48fd0e82f56 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Robust Speech and Natural Language Processing Models for Depression Screening Gradient-based learning applied to document recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.852323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21d48e14-f884-4be5-9660-8095aea13dee · outbound

This paper cites Long Short-Term Memory,.

Robust Speech and Natural Language Processing Models for Depression Screening Long Short-Term Memory,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.839667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 98923424-fc94-434b-8e66-f08ce67ae217 · outbound

This paper cites Regularizing and Optimizing LSTM Language Models.

Robust Speech and Natural Language Processing Models for Depression Screening Regularizing and Optimizing LSTM Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:52.605946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e3698d-b26a-4349-b132-ebb913df0802 · outbound

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

Robust Speech and Natural Language Processing Models for Depression Screening Universal Language Model Fine-tuning for Text Classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:52.609687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d295d01-f913-4494-b9ce-9b9d987daa1f · outbound

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

Robust Speech and Natural Language Processing Models for Depression Screening How Transferable are Neural Networks in NLP Applications?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:52.613520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17bc1b61-efdf-4410-bb70-072e46b1a327 · outbound

This paper cites Pointer Sentinel Mixture Models.

Robust Speech and Natural Language Processing Models for Depression Screening Pointer Sentinel Mixture Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T01:02:52.618456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fbda4e-d2e6-42ad-94d6-173bd741dc36 · outbound

This paper cites an unresolved cited work.

Robust Speech and Natural Language Processing Models for Depression Screening Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:02:52.826161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bb03209-0bb9-4f91-b433-bb10c9450aeb · outbound

This paper cites Rates of Detection of Mood and Anxiety Disorders in Primary Care: A Descriptive, Cross-Sectional Study,.

Robust Speech and Natural Language Processing Models for Depression Screening Rates of Detection of Mood and Anxiety Disorders in Primary Care: A Descriptive, Cross-Sectional Study,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.811120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3abc8a35-0151-4bfa-9c46-7346ec4a2a05 · outbound

This paper cites Accuracy of general practitioner unassisted detection of depression,.

Robust Speech and Natural Language Processing Models for Depression Screening Accuracy of general practitioner unassisted detection of depression,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.796499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 373e2166-e21d-48cd-86c2-f27098d0bd62 · outbound

This paper cites Clinical diagnosis of depression in primary care: a meta-analysis,.

Robust Speech and Natural Language Processing Models for Depression Screening Clinical diagnosis of depression in primary care: a meta-analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.782499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44d9b739-c535-4eaa-be07-2abbb1f8907e · outbound

This paper cites Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach,.

Robust Speech and Natural Language Processing Models for Depression Screening Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.768645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5623cd6-504f-44e4-8887-79e675ae5b09 · outbound

This paper cites Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves,.

Robust Speech and Natural Language Processing Models for Depression Screening Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:02:52.754669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.