Paper Citation Record · LEDGER

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection

As of 27 July 2026, this Paper Citation Record lists 38 of 38 outbound references and 3 inbound Pith citation observations for arXiv:2604.14354.

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

pith.paper-citation-record.v1
2604.14354 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T11:37:46.107780Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-27T06:30:09.085275+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T02:51:00.750365Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy36
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5e810e7-c7b9-4abc-b3c7-1f0b26fbabd9 · outbound

This paper cites Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T11:40:19.117403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 085c5015-a62e-40fb-9736-4e17112ca881 · outbound

This paper cites control group.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection control group

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.042782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation aa4e5c68-6c61-43ff-86fd-f508dd885ab9 · outbound

This paper cites Each model is tested in its original form and with a DANN extension to mitigate speaker-specific information.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Each model is tested in its original form and with a DANN extension to mitigate speaker-specific information

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.045023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation ebddcd49-2b41-4fda-bbed-4e2e0b38f7cc · outbound

This paper cites To simulate these under controlled condi- tions, we use the size-matched split described in Section 2.2, yielding two training sets and a shared test set.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection To simulate these under controlled condi- tions, we use the size-matched split described in Section 2.2, yielding two training sets and a shared test set

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.062086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation b5a61027-99c4-4913-9ad1-eb9a41ef3523 · outbound

This paper cites an unresolved cited work.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Unresolved cited work

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-05-19T13:47:20.069992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 922126f3-17ab-4b08-af29-ac938441356d · outbound

This paper cites an unresolved cited work.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Unresolved cited work

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.075875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 706b166e-6e01-4c1d-a118-3fceaec663a1 · outbound

This paper cites an unresolved cited work.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Unresolved cited work

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.083922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 8b26e271-457a-498c-b045-edbb6efb9994 · outbound

This paper cites These tools were not used to generate scientific content, results, experimental designs, anal- yses, or conclusions.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection These tools were not used to generate scientific content, results, experimental designs, anal- yses, or conclusions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.057951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 2302ac5c-7fd7-4d33-9ba7-dc47a9c00022 · outbound

This paper cites Time for united action on depression: a Lancet–World Psychi- atric Association Commission.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Time for united action on depression: a Lancet–World Psychi- atric Association Commission

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.047132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 8ce93c5d-8168-41eb-ad4a-5eaaf6330db8 · outbound

This paper cites Global, regional and national burden of depressive disorders and attributable risk factors, from 1990 to 2021: results from the 2021 Global Burden of Disease study.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Global, regional and national burden of depressive disorders and attributable risk factors, from 1990 to 2021: results from the 2021 Global Burden of Disease study

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.068141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 427dd1f2-e233-4877-944b-f28648c69724 · outbound

This paper cites How stigma interferes with mental health care.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection How stigma interferes with mental health care

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.055693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation fea18c6a-6736-469c-afdf-b7691fc6baf3 · outbound

This paper cites The global gap in treatment coverage for major depressive disorder in 84 countries from 2000–2019: A systematic review and Bayesian meta-regression analysis.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection The global gap in treatment coverage for major depressive disorder in 84 countries from 2000–2019: A systematic review and Bayesian meta-regression analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.049225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 416d4012-342e-428f-80db-6abd9a89b8c4 · outbound

This paper cites Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.118105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 54fd18d1-1e0b-4576-9402-67d698141882 · outbound

This paper cites Speech-based depres- sion assessment: A comprehensive survey.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Speech-based depres- sion assessment: A comprehensive survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.077929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation dbc432f5-23c6-4ef8-9c7e-ba41a1873ac8 · outbound

This paper cites Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.085817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 390ae46c-cda7-43db-957d-5522d9bdd876 · outbound

This paper cites Avec 2016: Depression, mood, and emotion recognition workshop and challenge.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Avec 2016: Depression, mood, and emotion recognition workshop and challenge

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.064035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation fe86c80d-cdb9-427f-9749-5f741390cdfe · outbound

This paper cites The distress analysis interview corpus of human and computer interviews.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection The distress analysis interview corpus of human and computer interviews

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.122307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 94a518cc-f74b-4508-a2aa-525331ea62c6 · outbound

This paper cites Depression detection from speech data using deep learning–based optimized temporal–frequency–channel attention with interpretable acoustic–prosodic mapping.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Depression detection from speech data using deep learning–based optimized temporal–frequency–channel attention with interpretable acoustic–prosodic mapping

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.066166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation cad7a429-eddf-4de7-82a8-d31716aff669 · outbound

This paper cites RADIANCE: Re- liable and interpretable depression detection from speech using transformer.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection RADIANCE: Re- liable and interpretable depression detection from speech using transformer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.079800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation f54f6562-7e5d-4379-b79e-7b7e21956723 · outbound

This paper cites Depression recognition using voice-based pre-training model.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Depression recognition using voice-based pre-training model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.113961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation d3856f42-e5ed-429c-a848-46bdc374b328 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.053582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 2dc3bc1a-dcfd-4e46-abf3-a783fbc73140 · outbound

This paper cites Responsible development of clinical speech ai: bridging the gap between clinical research and technol- ogy.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Responsible development of clinical speech ai: bridging the gap between clinical research and technol- ogy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.074016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation b72a15f1-eef1-4329-8522-37fa9b9427bc · outbound

This paper cites Common Pitfalls and Recommen- dations for Use of Machine Learning in Depression Severity Esti- mation: DAIC-WOZ Study.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Common Pitfalls and Recommen- dations for Use of Machine Learning in Depression Severity Esti- mation: DAIC-WOZ Study

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.072023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation f9c18b0d-9d53-4683-b9e4-98fc658fb44a · outbound

This paper cites Enhancing accuracy and privacy in speech-based depression detection through speaker dis- entanglement.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Enhancing accuracy and privacy in speech-based depression detection through speaker dis- entanglement

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.109560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation d77754f9-2a80-4f6e-87a7-6f9c5252efd6 · outbound

This paper cites Unmasking Clever Hans predictors and assess- ing what machines really learn.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Unmasking Clever Hans predictors and assess- ing what machines really learn

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.100323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 42534fc5-80ff-46e7-91e2-8ac27c13b25e · outbound

This paper cites Domain-adversarial training of neural networks.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Domain-adversarial training of neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.051126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation e23f03b2-e1b7-45e2-89ec-b65118600e9d · outbound

This paper cites The PHQ-8 as a measure of current depres- sion in the general population.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection The PHQ-8 as a measure of current depres- sion in the general population

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.060161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 0905f79f-701c-4e5c-8dfd-8c30b5ac10f9 · outbound

This paper cites A step towards pre- serving speakers’ identity while detecting depression via speaker disentanglement.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection A step towards pre- serving speakers’ identity while detecting depression via speaker disentanglement

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.111948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 6646edbb-ebe0-4a5f-8af0-763abb6a6675 · outbound

This paper cites Non-uniform speaker disen- tanglement for depression detection from raw speech signals.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Non-uniform speaker disen- tanglement for depression detection from raw speech signals

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.120034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation c5839c77-f01c-44eb-af80-01a14b17b3bd · outbound

This paper cites Catastrophic forgetting in connectionist net- works.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Catastrophic forgetting in connectionist net- works

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.102682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 3064f09d-d258-4027-8c25-85660588166f · outbound

This paper cites Comparing Acoustic-Based Approaches for Alzheimer’s Disease Detection.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Comparing Acoustic-Based Approaches for Alzheimer’s Disease Detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.107401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation b61ed266-e95b-4b3c-b723-f17e579d44fd · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Rep- resentation Learning at Scale.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection XLS-R: Self-supervised Cross-lingual Speech Rep- resentation Learning at Scale

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.095759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation b21b5b12-35d9-4199-a891-e78a340f420d · outbound

This paper cites The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.091440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation dab78f38-804f-44c4-bf1b-0bbfff7fcc42 · outbound

This paper cites Opensmile: the mu- nich versatile and fast open-source audio feature extractor.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Opensmile: the mu- nich versatile and fast open-source audio feature extractor

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.093299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 0782a6bb-5336-4bf8-88ea-9f3998f2b258 · outbound

This paper cites Audio deepfake detection with self-supervised xls-r and sls classifier.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Audio deepfake detection with self-supervised xls-r and sls classifier

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.098190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation 24cc66a8-94e3-44cb-849f-efcc3c9831ea · outbound

This paper cites Performance metrics for multilabel emotion classification: comparing micro, macro, and weighted f1-scores.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Performance metrics for multilabel emotion classification: comparing micro, macro, and weighted f1-scores

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.104806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation b65dc016-256b-4a9c-9f5c-08d7dc0c9583 · outbound

This paper cites Accuracy of automated classification of major depressive disorder as a function of symptom severity.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection Accuracy of automated classification of major depressive disorder as a function of symptom severity

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.116077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Observation fd5eee9c-fd0f-4046-996b-104fe1ceea5f · outbound

This paper cites An overview of speaker identifica- tion: Accuracy and robustness issues.

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection An overview of speaker identifica- tion: Accuracy and robustness issues

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:47:20.082033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

Pith citing papers

Observation c5e810e7-c7b9-4abc-b3c7-1f0b26fbabd9 · inbound