Paper Citation Record · LEDGER

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2412.06332.

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

pith.paper-citation-record.v1
2412.06332 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:49:54.078947Z

measured 43 of 43 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:49:53.857578Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T19:49:54.195381Z

Reference resolution

42 of 42 outbound references displayed

verified exact2
verified fuzzy33
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc66148e-d478-4abc-b552-a6de9f41de45 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Unresolved cited work

Reference 1

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Observation c75b8a87-b79c-4275-981e-c4121ba91e9b · outbound

This paper cites Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T19:49:54.205464Z

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Observation 2643483e-aec0-46bc-940d-ce13d878e029 · outbound

This paper cites TP , TN, FP , FN.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection TP , TN, FP , FN

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.906787Z

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Observation bd77fe27-e662-4736-84df-0aa4599b6a01 · outbound

This paper cites tokens” represents the count of words and “types.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection tokens” represents the count of words and “types

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.893835Z

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Observation 66a28e04-e97a-4a57-8263-2d8285d50e0f · outbound

This paper cites Specifically, we explored why transcriptions with notable word error rates could yield detection accuracy equivalent to that of manual transcriptions.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Specifically, we explored why transcriptions with notable word error rates could yield detection accuracy equivalent to that of manual transcriptions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.879052Z

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Observation f811940f-2af2-4208-8832-e65d99ad8fa4 · outbound

This paper cites T45- 407/19N) and the CUHK Stanley Ho Big Data Decision Research Centre.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection T45- 407/19N) and the CUHK Stanley Ho Big Data Decision Research Centre

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.860891Z

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Observation 50c31f2e-42b2-4994-a802-40566702702a · outbound

This paper cites World alzheimer report 2019: Attitudes to dementia, a global survey: Public health: Engaging people in adrd research,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection World alzheimer report 2019: Attitudes to dementia, a global survey: Public health: Engaging people in adrd research,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.843777Z

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Observation c3508fac-6bf5-449c-a638-074f0037a9b0 · outbound

This paper cites The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.829796Z

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Observation 77f9e653-0436-47ab-9503-665502955d51 · outbound

This paper cites “frog, where are you?.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection “frog, where are you?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.814362Z

Source-reported events for the cited work

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Observation 17578232-750b-4276-9a1b-d166005e8d5b · outbound

This paper cites Ten years of research on automatic voice and speech analysis of people with alzheimer’s disease and mild cog- nitive impairment: a systematic review article,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Ten years of research on automatic voice and speech analysis of people with alzheimer’s disease and mild cog- nitive impairment: a systematic review article,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.796418Z

Source-reported events for the cited work

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Observation 847499c5-08bc-4ba6-b281-25552aec3121 · outbound

This paper cites Integrated and enhanced pipeline system to support spoken language analytics for screen- ing neurocognitive disorders,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Integrated and enhanced pipeline system to support spoken language analytics for screen- ing neurocognitive disorders,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.766780Z

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Observation ed3bb7f0-73cc-454d-9962-be4ff59483d5 · outbound

This paper cites Spoken language biomarkers for detecting cognitive impairment,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Spoken language biomarkers for detecting cognitive impairment,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.749577Z

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Observation 6d86eecf-c6e4-4cd1-b46a-f40d029ee793 · outbound

This paper cites Linguistic fea- tures identify alzheimer’s disease in narrative speech,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Linguistic fea- tures identify alzheimer’s disease in narrative speech,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.734769Z

Source-reported events for the cited work

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Observation 9c93ba41-27c5-49d0-b948-cda5951b9678 · outbound

This paper cites Speech reveals future risk of developing dementia: Predictive dementia screening from biographic interviews,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Speech reveals future risk of developing dementia: Predictive dementia screening from biographic interviews,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.721421Z

Source-reported events for the cited work

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Observation 6b15d0e1-0f7f-4e3e-b630-e8a35ebe2b8e · outbound

This paper cites Verbal fluency in normal ag- ing and cognitive decline: Results of a longitudinal study,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Verbal fluency in normal ag- ing and cognitive decline: Results of a longitudinal study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.699637Z

Source-reported events for the cited work

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Observation de807c06-8199-44c6-bd05-f19d40fbb871 · outbound

This paper cites Exploiting multi- modal features from pre-trained networks for alzheimer’s demen- tia recognition,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Exploiting multi- modal features from pre-trained networks for alzheimer’s demen- tia recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.676191Z

Source-reported events for the cited work

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Observation ca3a8601-f74f-4af3-b094-cb2b130b9376 · outbound

This paper cites Comparing pre-trained and feature-based models for prediction of alzheimer’s disease based on speech,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Comparing pre-trained and feature-based models for prediction of alzheimer’s disease based on speech,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.656631Z

Source-reported events for the cited work

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Observation 414c1b80-3663-4ba1-8593-363dc8ea58ee · outbound

This paper cites Automated recognition of alzheimer’s dementia using bag-of-deep-features and model ensembling,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Automated recognition of alzheimer’s dementia using bag-of-deep-features and model ensembling,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.640521Z

Source-reported events for the cited work

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Observation 753c7320-18c7-40b2-8738-4d7a351ee880 · outbound

This paper cites To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection

Reference 19

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Source-reported events for the cited work

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Observation b9beee61-8181-4148-ae26-82d238b1714d · outbound

This paper cites Disflu- encies and fine-tuning pre-trained language models for detection of alzheimer’s disease.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Disflu- encies and fine-tuning pre-trained language models for detection of alzheimer’s disease

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.626401Z

Source-reported events for the cited work

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Observation 6bcc22b5-ea37-4f0b-a9d3-153f57607898 · outbound

This paper cites Temporal integra- tion of text transcripts and acoustic features for alzheimer’s diag- nosis based on spontaneous speech,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Temporal integra- tion of text transcripts and acoustic features for alzheimer’s diag- nosis based on spontaneous speech,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.610518Z

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Observation ea066adb-52fb-4ac7-8825-f0517f484ffe · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language under- standing,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection BERT: Pre- training of deep bidirectional transformers for language under- standing,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.595481Z

Source-reported events for the cited work

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Observation 395a10b2-72a4-4fc0-8fe2-133a819b8d5c · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Roberta: A robustly optimized bert pretraining approach,

Reference 23

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Observation fd0282cc-2cd1-4780-abfa-46b89f10d473 · outbound

This paper cites Automated screening for alzheimer’s dementia through spontaneous speech.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Automated screening for alzheimer’s dementia through spontaneous speech

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T19:49:53.986747Z

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Observation 7e6d7099-3c40-4b5f-b872-3d885ed19e9a · outbound

This paper cites A comparative study of acoustic and linguistic fea- tures classification for alzheimer’s disease detection,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection A comparative study of acoustic and linguistic fea- tures classification for alzheimer’s disease detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.555859Z

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Observation ea0ef7c1-56df-4ced-9a5f-e8556d171670 · outbound

This paper cites Leveraging pretrained representations with task-related key- words for alzheimer’s disease detection,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Leveraging pretrained representations with task-related key- words for alzheimer’s disease detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.533763Z

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Observation de9810af-7e42-47ef-a0d7-1f4d01f5ae45 · outbound

This paper cites Exploring linguistic feature and model combination for speech recognition based automatic ad detection,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Exploring linguistic feature and model combination for speech recognition based automatic ad detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.510432Z

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Observation bdddce13-ece1-4c80-a51a-d562f1b70bdd · outbound

This paper cites Alzheimer’s dis- ease detection from spontaneous speech through combining lin- guistic complexity and (dis) fluency features with pretrained lan- guage models,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Alzheimer’s dis- ease detection from spontaneous speech through combining lin- guistic complexity and (dis) fluency features with pretrained lan- guage models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.479619Z

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Observation 81c8739f-3982-49d3-b9de-1b3ff26a6abc · outbound

This paper cites Speech recognition in alzheimer’s disease and in its assessment.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Speech recognition in alzheimer’s disease and in its assessment

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.441849Z

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Observation 367247cc-9ccb-42dd-acb1-8af4e375445e · outbound

This paper cites Dementia detection using automatic analysis of conver- sations,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Dementia detection using automatic analysis of conver- sations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.416011Z

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Observation 8f956a36-ae8c-45fb-bb79-d7a4382a4b51 · outbound

This paper cites Development of the cuhk elderly speech recognition system for neurocognitive disorder detection using the dementia- bank corpus,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Development of the cuhk elderly speech recognition system for neurocognitive disorder detection using the dementia- bank corpus,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.392279Z

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Observation aff2f47a-7378-4538-904f-d12d008d2d2c · outbound

This paper cites Investigation of Data Augmentation Techniques for Disordered Speech Recognition.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Investigation of Data Augmentation Techniques for Disordered Speech Recognition

Reference 32

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Observation 4b3837e6-eac4-4795-a65b-a252b5f3e80b · outbound

This paper cites Per- sonalized adversarial data augmentation for dysarthric and elderly speech recognition,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Per- sonalized adversarial data augmentation for dysarthric and elderly speech recognition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.373515Z

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Observation f5c0faed-9e21-4002-aca4-05a303794e53 · outbound

This paper cites Bayesian parametric and architec- tural domain adaptation of lf-mmi trained tdnns for elderly and dysarthric speech recognition.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Bayesian parametric and architec- tural domain adaptation of lf-mmi trained tdnns for elderly and dysarthric speech recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.348897Z

Source-reported events for the cited work

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Observation ddbf780a-6b7d-4edf-ae21-853521442902 · outbound

This paper cites Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:49:54.145975Z

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Observation c210a5e0-2eee-4516-b061-7c4d7ddd49d2 · outbound

This paper cites The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:49:54.126338Z

Source-reported events for the cited work

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Observation 5006cf14-ad40-487b-b2be-b96d2b3b3df3 · outbound

This paper cites Useful blunders: Can automated speech recognition errors improve downstream demen- tia classification?.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Useful blunders: Can automated speech recognition errors improve downstream demen- tia classification?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T19:49:54.053491Z

Source-reported events for the cited work

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Observation 16d385e2-26f6-45ca-8400-955830a6fbba · outbound

This paper cites Impact of asr on alzheimer’s disease detection: All errors are equal, but deletions are more equal than others,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Impact of asr on alzheimer’s disease detection: All errors are equal, but deletions are more equal than others,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.305699Z

Source-reported events for the cited work

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Observation 4e9f4e50-0c78-43e4-b1a5-ff731ac7d6b6 · outbound

This paper cites Alzheimer’s Dementia Recognition Through Spontaneous Speech: The ADReSS Challenge,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Alzheimer’s Dementia Recognition Through Spontaneous Speech: The ADReSS Challenge,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.288111Z

Source-reported events for the cited work

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Observation 6047e5cd-1377-4dd6-a4e7-d6ef965a7de4 · outbound

This paper cites The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.268502Z

Source-reported events for the cited work

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Observation 52685aa4-fafb-468d-880a-56faa07aada7 · outbound

This paper cites Kaplan, H.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection Kaplan, H

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.249896Z

Source-reported events for the cited work

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Observation 648b67ff-e71a-4557-9ca8-014f4aea3510 · outbound

This paper cites NLTK: The natural language toolkit,.

Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection NLTK: The natural language toolkit,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:49:54.226535Z

Source-reported events for the cited work

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Pith citing papers

Observation c75b8a87-b79c-4275-981e-c4121ba91e9b · inbound