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Paper Citation Record · LEDGER

Fair Cognitive Impairment Detection Through Unlearning

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2606.18571.

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

pith.paper-citation-record.v1
2606.18571 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T22:02:22.551551Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T22:02:22.551551Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:39:03.309059Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved45
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  • malformed identifier1
  • metadata mismatch2

External citation measurements

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Outbound references

Observation e1455807-24df-4450-a113-e287c70dd89e · outbound

This paper cites an unresolved cited work.

Fair Cognitive Impairment Detection Through Unlearning Unresolved cited work

Reference 1

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Observation cdb2c5a4-a60c-4527-89f5-a98cf3b37335 · outbound

This paper cites Fair Cognitive Impairment Detection Through Unlearning.

Fair Cognitive Impairment Detection Through Unlearning Fair Cognitive Impairment Detection Through Unlearning

Reference 2

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Observation 55976e06-c132-43a6-9cb9-4b4baac92155 · outbound

This paper cites unlearning.

Fair Cognitive Impairment Detection Through Unlearning unlearning

Reference 3

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Observation 11d0fa4f-d345-41db-b858-fb9c6e278e78 · outbound

This paper cites Datasets We use the following two datasets for our experiments.

Fair Cognitive Impairment Detection Through Unlearning Datasets We use the following two datasets for our experiments

Reference 4

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Observation 820033cf-94c4-4aff-8b7e-bbf2a5101de6 · outbound

This paper cites - CM” and “-UL.

Fair Cognitive Impairment Detection Through Unlearning - CM” and “-UL

Reference 5

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Observation b2ec2b71-de9d-4dda-844e-08af4f840b93 · outbound

This paper cites an unresolved cited work.

Fair Cognitive Impairment Detection Through Unlearning Unresolved cited work

Reference 6

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Observation 6498bf79-e234-4aba-9f10-2d0a34ffc529 · outbound

This paper cites All technical content, analyses, and conclusions were produced by the authors and verified for accuracy.

Fair Cognitive Impairment Detection Through Unlearning All technical content, analyses, and conclusions were produced by the authors and verified for accuracy

Reference 7

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Observation f49e766c-f430-4466-98a7-eb9b60d90ae1 · outbound

This paper cites Artifi- cial intelligence, speech, and language processing approaches to monitoring alzheimer’s disease: a systematic review,.

Fair Cognitive Impairment Detection Through Unlearning Artifi- cial intelligence, speech, and language processing approaches to monitoring alzheimer’s disease: a systematic review,

Reference 8

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Observation 693e6e11-1df5-4ce4-a5da-6b5babec84b3 · outbound

This paper cites Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge,.

Fair Cognitive Impairment Detection Through Unlearning Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge,

Reference 9

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Observation beda61b1-dad1-4800-acb6-d0deaabd94e7 · outbound

This paper cites CogniV oice: Multi- modal and Multilingual Fusion Networks for Mild Cognitive Im- pairment Assessment from Spontaneous Speech,.

Fair Cognitive Impairment Detection Through Unlearning CogniV oice: Multi- modal and Multilingual Fusion Networks for Mild Cognitive Im- pairment Assessment from Spontaneous Speech,

Reference 10

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Observation 2f2d23c3-2723-414b-a832-ebd1fc6aee48 · outbound

This paper cites Speechcare: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts,.

Fair Cognitive Impairment Detection Through Unlearning Speechcare: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts,

Reference 11

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Observation e8a1b877-1c8c-43c3-b299-59291577d775 · outbound

This paper cites Bias and fairness in self-supervised acoustic representations for cognitive impairment detection,.

Fair Cognitive Impairment Detection Through Unlearning Bias and fairness in self-supervised acoustic representations for cognitive impairment detection,

Reference 12

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Observation c4289e87-ad5d-425a-941c-fdc716188d52 · outbound

This paper cites Don‘t take the easy way out: Ensemble based methods for avoiding known dataset biases,.

Fair Cognitive Impairment Detection Through Unlearning Don‘t take the easy way out: Ensemble based methods for avoiding known dataset biases,

Reference 13

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Observation 09f4df20-c60a-42f2-b2ff-876a9185004d · outbound

This paper cites End- to-end bias mitigation by modelling biases in corpora,.

Fair Cognitive Impairment Detection Through Unlearning End- to-end bias mitigation by modelling biases in corpora,

Reference 14

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Observation a362a310-0dc7-499b-b0a0-6eb30be1da0f · outbound

This paper cites Guide the learner: Controlling product of experts debiasing method based on token attribution similarities,.

Fair Cognitive Impairment Detection Through Unlearning Guide the learner: Controlling product of experts debiasing method based on token attribution similarities,

Reference 15

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Observation 26e56c33-b382-4ba3-a1c8-dc7bd90b5a9c · outbound

This paper cites Towards debiasing NLU models from unknown biases,.

Fair Cognitive Impairment Detection Through Unlearning Towards debiasing NLU models from unknown biases,

Reference 16

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Observation 155d67b0-9f19-4fc9-bac0-eee3b5939870 · outbound

This paper cites Learning from others’ mistakes: Avoiding dataset biases without modeling them,.

Fair Cognitive Impairment Detection Through Unlearning Learning from others’ mistakes: Avoiding dataset biases without modeling them,

Reference 17

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Observation 924bd6f1-6590-4d3e-8d1d-adc0bb5e85f1 · outbound

This paper cites Available: https://openreview.net/forum?id= Hf3qXoiNkR.

Fair Cognitive Impairment Detection Through Unlearning Available: https://openreview.net/forum?id= Hf3qXoiNkR

Reference 18

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Observation 87f5a3f8-4238-44e0-8425-ac09d4b6b222 · outbound

This paper cites Kernel-whitening: Overcome dataset bias with isotropic sentence embedding,.

Fair Cognitive Impairment Detection Through Unlearning Kernel-whitening: Overcome dataset bias with isotropic sentence embedding,

Reference 19

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Observation f4fc249e-5cd2-486d-bf8a-a398c8efde45 · outbound

This paper cites Towards stable natural language understanding via information entropy guided debiasing,.

Fair Cognitive Impairment Detection Through Unlearning Towards stable natural language understanding via information entropy guided debiasing,

Reference 20

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Observation 32d972dd-4de2-4c5f-997f-ffc6b7e1f4b3 · outbound

This paper cites Robust natural language understanding with residual attention debiasing,.

Fair Cognitive Impairment Detection Through Unlearning Robust natural language understanding with residual attention debiasing,

Reference 21

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Observation ae18c1f6-dabe-4f78-a45b-aceb01dee144 · outbound

This paper cites Debiasing masks: A new framework for shortcut mitigation in NLU,.

Fair Cognitive Impairment Detection Through Unlearning Debiasing masks: A new framework for shortcut mitigation in NLU,

Reference 22

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Observation db49a75d-f3a6-4132-9950-d15fa335995c · outbound

This paper cites FairFlow: Mitigating dataset biases through undecided learning for natural language understanding,.

Fair Cognitive Impairment Detection Through Unlearning FairFlow: Mitigating dataset biases through undecided learning for natural language understanding,

Reference 23

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Observation c06decf8-a71a-4554-9cbd-609b2b360d2f · outbound

This paper cites Connected Speech-Based Cognitive Assessment in Chinese and English.

Fair Cognitive Impairment Detection Through Unlearning Connected Speech-Based Cognitive Assessment in Chinese and English

Reference 24

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Source-reported events for the cited work

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Observation 7a03a27b-c453-410c-80f5-c9707efe3e1c · outbound

This paper cites Prepare: Pioneering research for early prediction of alzheimer’s and related dementias eureka challenge,.

Fair Cognitive Impairment Detection Through Unlearning Prepare: Pioneering research for early prediction of alzheimer’s and related dementias eureka challenge,

Reference 25

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Observation 271f833e-ee7e-472a-85bc-736e0153c12b · outbound

This paper cites Linguistic features extracted by GPT-4 improve Alzheimer‘s disease detection based on spontaneous speech,.

Fair Cognitive Impairment Detection Through Unlearning Linguistic features extracted by GPT-4 improve Alzheimer‘s disease detection based on spontaneous speech,

Reference 26

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Observation 197e77f0-8af7-41a8-8bd3-890ab40e3504 · outbound

This paper cites A digital language coherence marker for monitoring dementia,.

Fair Cognitive Impairment Detection Through Unlearning A digital language coherence marker for monitoring dementia,

Reference 27

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Observation 00e1e3c0-7655-41ef-8b53-c618d1fc1943 · outbound

This paper cites Reformulating NLP tasks to capture longitudinal manifestation of language disorders in people with dementia.

Fair Cognitive Impairment Detection Through Unlearning Reformulating NLP tasks to capture longitudinal manifestation of language disorders in people with dementia

Reference 28

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Observation 184c7a2c-6077-4fc4-8248-6b0c0322dca6 · outbound

This paper cites Two directions for clinical data generation with large language models: Data-to-label and label-to-data,.

Fair Cognitive Impairment Detection Through Unlearning Two directions for clinical data generation with large language models: Data-to-label and label-to-data,

Reference 29

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Observation 692de962-b12a-49d3-8673-2ca8b1e7e63d · outbound

This paper cites CDA: A contrastive data augmentation method for Alzheimer‘s disease detection,.

Fair Cognitive Impairment Detection Through Unlearning CDA: A contrastive data augmentation method for Alzheimer‘s disease detection,

Reference 30

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Observation 3a22cf05-c743-4f40-84c3-8bcecb66fc6c · outbound

This paper cites Domain adaptation via prompt learning for Alzheimer‘s detection,.

Fair Cognitive Impairment Detection Through Unlearning Domain adaptation via prompt learning for Alzheimer‘s detection,

Reference 31

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Observation 3a1b1fd9-2e25-4047-9434-a62c782822e1 · outbound

This paper cites Introduction to large language models (llms) for dementia care and research,.

Fair Cognitive Impairment Detection Through Unlearning Introduction to large language models (llms) for dementia care and research,

Reference 32

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Observation 8077f0e6-a2f1-4bd7-990d-932396f7c39a · outbound

This paper cites On the social bias of speech self-supervised models,.

Fair Cognitive Impairment Detection Through Unlearning On the social bias of speech self-supervised models,

Reference 33

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Observation 9a9a1f4d-b3df-4580-8968-bc07fa0a1d99 · outbound

This paper cites Emo- bias: A large scale evaluation of social bias on speech emotion recognition,.

Fair Cognitive Impairment Detection Through Unlearning Emo- bias: A large scale evaluation of social bias on speech emotion recognition,

Reference 34

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Observation 336e40de-0993-4d5b-8129-d9ed37b5c6c3 · outbound

This paper cites Automatic classification of news subjects in broadcast news: Ap- plication to a gender bias representation analysis,.

Fair Cognitive Impairment Detection Through Unlearning Automatic classification of news subjects in broadcast news: Ap- plication to a gender bias representation analysis,

Reference 35

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Observation deb8897b-33a4-4e00-95c6-c794c05317ef · outbound

This paper cites Exploring sources of racial bias in automatic speech recognition through the lens of rhythmic varia- tion,.

Fair Cognitive Impairment Detection Through Unlearning Exploring sources of racial bias in automatic speech recognition through the lens of rhythmic varia- tion,

Reference 36

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Observation ad8d779b-9fc8-4500-af98-9a867e1c8ce3 · outbound

This paper cites A con- trastive learning approach to mitigate bias in speech models,.

Fair Cognitive Impairment Detection Through Unlearning A con- trastive learning approach to mitigate bias in speech models,

Reference 37

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Observation b4cb7281-426f-4fc3-b790-31b8723941a8 · outbound

This paper cites Mitigating bias against non-native accents,.

Fair Cognitive Impairment Detection Through Unlearning Mitigating bias against non-native accents,

Reference 38

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Observation c08c48a8-055a-41a6-8e99-54b87f3f215f · outbound

This paper cites Au- tomatic children speech sound disorder detection with age and speaker bias mitigation,.

Fair Cognitive Impairment Detection Through Unlearning Au- tomatic children speech sound disorder detection with age and speaker bias mitigation,

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Observation 1fb11a5e-a02e-4ea1-beac-9d18377c1c95 · outbound

This paper cites Revealing con- founding biases: A novel benchmarking approach for aggregate- level performance metrics in health assessments,.

Fair Cognitive Impairment Detection Through Unlearning Revealing con- founding biases: A novel benchmarking approach for aggregate- level performance metrics in health assessments,

Reference 40

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Observation b58f7e45-78f3-4392-b678-6d65ccb43849 · outbound

This paper cites Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning.

Fair Cognitive Impairment Detection Through Unlearning Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning

Reference 41

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c2a8727d-c8bb-4075-850d-5ecdc7b89ab8 · outbound

This paper cites Speech Unlearning,.

Fair Cognitive Impairment Detection Through Unlearning Speech Unlearning,

Reference 42

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Observation da180199-f9dc-4e89-8c4c-ad106e762cf9 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

Fair Cognitive Impairment Detection Through Unlearning Unsupervised domain adaptation by backpropagation,

Reference 43

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Observation ff6bf99a-3eb7-4fd1-bd86-191f1c9b847e · outbound

This paper cites Curriculum learning, in: Proceedings of the 26th Annual International Conference on Machine Learning, Associa- tion for Computing Machinery, New York, NY, USA.

Fair Cognitive Impairment Detection Through Unlearning Curriculum learning, in: Proceedings of the 26th Annual International Conference on Machine Learning, Associa- tion for Computing Machinery, New York, NY, USA

Reference 44

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arxiv_id, observed 2026-06-26T22:10:08.680587Z

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Observation 9a4df732-a144-40e3-ab20-a6fc33136377 · outbound

This paper cites The interspeech 2024 taukadial challenge: Multilingual mild cognitive impairment detection with multimodal approach,.

Fair Cognitive Impairment Detection Through Unlearning The interspeech 2024 taukadial challenge: Multilingual mild cognitive impairment detection with multimodal approach,

Reference 45

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Observation 8dd8b678-64f1-47ce-8552-97fc4ad51324 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Fair Cognitive Impairment Detection Through Unlearning Robust speech recognition via large-scale weak su- pervision,

Reference 46

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Observation a1da3c73-b6d3-4c4f-94b6-b5e57420f21d · outbound

This paper cites an unresolved cited work.

Fair Cognitive Impairment Detection Through Unlearning Unresolved cited work

Reference 47

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Observation a83ebab0-56f0-4c77-9029-740ed843f7d5 · outbound

This paper cites Sigmoid loss for language image pre-training,.

Fair Cognitive Impairment Detection Through Unlearning Sigmoid loss for language image pre-training,

Reference 48

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Observation 58fb5a24-b04e-4ff4-b17b-dcd27f3e4a39 · outbound

This paper cites Last layer re-training is sufficient for robustness to spuri- ous correlations,.

Fair Cognitive Impairment Detection Through Unlearning Last layer re-training is sufficient for robustness to spuri- ous correlations,

Reference 49

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Observation 8a1cbd94-90d1-48a1-9c0f-1a1d53de2938 · outbound

This paper cites Change is Hard: A Closer Look at Subpopulation Shift.

Fair Cognitive Impairment Detection Through Unlearning Change is Hard: A Closer Look at Subpopulation Shift

Reference 50

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Observation 99b61b42-d92d-4718-bd97-fd97c394cef8 · outbound

This paper cites Do students debias like teachers? on the distillability of bias mitigation methods,.

Fair Cognitive Impairment Detection Through Unlearning Do students debias like teachers? on the distillability of bias mitigation methods,

Reference 51

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arxiv_id, observed 2026-07-03T23:39:03.293044Z

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Observation df594162-7084-47b5-95f7-0ecb3f71ce44 · outbound

This paper cites AST: Audio Spectrogram Transformer,.

Fair Cognitive Impairment Detection Through Unlearning AST: Audio Spectrogram Transformer,

Reference 52

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Observation 5ceb2790-f68d-41ee-8f5e-9fe7674bee08 · outbound

This paper cites Unsupervised cross-lingual representation learning for speech recognition,.

Fair Cognitive Impairment Detection Through Unlearning Unsupervised cross-lingual representation learning for speech recognition,

Reference 53

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Observation f53c58ae-a16c-46d4-aeff-f43ad3865b0d · outbound

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Fair Cognitive Impairment Detection Through Unlearning Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 54

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arxiv_id, observed 2026-07-03T23:39:03.321924Z

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Pith citing papers

Observation cdb2c5a4-a60c-4527-89f5-a98cf3b37335 · inbound

Fair Cognitive Impairment Detection Through Unlearning cites this paper.

Fair Cognitive Impairment Detection Through Unlearning Fair Cognitive Impairment Detection Through Unlearning

Reference 2

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