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Paper Citation Record · LEDGER

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description

As of 19 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2606.18054.

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

pith.paper-citation-record.v1
2606.18054 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T22:48:50.852641Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:09:01.749302Z

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation b81964fa-2f35-48bc-91d6-cd654ad0539e · outbound

This paper cites AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description

Reference 1

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Observation 74ffb484-c062-477e-9767-ce0e74a8e671 · outbound

This paper cites Data preparation This study used data from the Pitt corpus of DementiaBank.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Data preparation This study used data from the Pitt corpus of DementiaBank

Reference 2

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This paper cites Control” were assigned to the Control group, with all others assigned to the Clinical group. In the W- ADRC dataset, samples labeled “Normal.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Control” were assigned to the Control group, with all others assigned to the Clinical group. In the W- ADRC dataset, samples labeled “Normal

Reference 3

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 4

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 5

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 6

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Saliency of information

Reference 7

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Observation 15fdcbe5-e3db-42d0-a1fb-04ed3580f99f · outbound

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Saliency of information

Reference 8

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This paper cites Mental state language.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Mental state language

Reference 9

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 10

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 11

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 12

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Observation 74c1079f-3576-4008-8af1-d445336ac55d · outbound

This paper cites Mild cognitive impairment represents early-stage Alzheimer disease,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Mild cognitive impairment represents early-stage Alzheimer disease,

Reference 13

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Observation f1499b90-4761-4bdf-a033-970ace1c44df · outbound

This paper cites Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease,

Reference 14

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Observation b34532a4-5b80-4545-8ba3-8d1489a479ab · outbound

This paper cites Mild cog- nitive impairment in prediagnosed Huntington disease,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Mild cog- nitive impairment in prediagnosed Huntington disease,

Reference 15

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Observation ca42054e-a295-4ec8-86f8-e4688b76bbe9 · outbound

This paper cites Timely diagnosis for Alzheimer’s disease: A literature review on benefits and challenges,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Timely diagnosis for Alzheimer’s disease: A literature review on benefits and challenges,

Reference 16

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Observation dc71628c-b143-483b-95c0-8ddf426e6487 · outbound

This paper cites Lecanemab in early Alzheimer’s disease,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Lecanemab in early Alzheimer’s disease,

Reference 17

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Observation f52f9663-07c0-4f62-9a4c-f3572ea05a08 · outbound

This paper cites Describing the cookie theft picture: Sources of breakdown in Alzheimer’s dementia,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Describing the cookie theft picture: Sources of breakdown in Alzheimer’s dementia,

Reference 18

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Observation af3fd76e-22f1-4b54-9825-e5e69243cf07 · outbound

This paper cites Connected speech and language in mild cognitive impairment and Alzheimer’s disease: A review of picture description tasks,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Connected speech and language in mild cognitive impairment and Alzheimer’s disease: A review of picture description tasks,

Reference 19

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Observation 8eb177d2-c3b8-4b0a-a53f-7effa337a903 · outbound

This paper cites Alzheimer’s dis- ease and automatic speech analysis: A review,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Alzheimer’s dis- ease and automatic speech analysis: A review,

Reference 20

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Observation 02e679e0-46e2-42bb-8bb1-bc65e4f67a97 · outbound

This paper cites V oice quality and speech fluency distinguish individuals with mild cog- nitive impairment from healthy controls,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description V oice quality and speech fluency distinguish individuals with mild cog- nitive impairment from healthy controls,

Reference 21

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Observation edea7219-e7f9-4c30-9470-d7543c3bc410 · outbound

This paper cites Speech silence character as a diagnostic biomarker of early cog- nitive decline and its functional mechanism: A multicenter cross- sectional cohort study,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Speech silence character as a diagnostic biomarker of early cog- nitive decline and its functional mechanism: A multicenter cross- sectional cohort study,

Reference 22

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Observation e0b9e82b-641e-4ebe-93e5-76d920b7e21c · outbound

This paper cites Articu- latory precision from connected speech as a marker of cognitive decline in Alzheimer’s disease risk-enriched cohorts,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Articu- latory precision from connected speech as a marker of cognitive decline in Alzheimer’s disease risk-enriched cohorts,

Reference 23

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Observation 43392f39-1ea3-41c9-887c-9c4b29a95463 · outbound

This paper cites High amyloid burden is associated with fewer spe- cific words during spontaneous speech in individuals with subjec- tive cognitive decline,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description High amyloid burden is associated with fewer spe- cific words during spontaneous speech in individuals with subjec- tive cognitive decline,

Reference 24

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Observation e661e4ea-95c5-44e1-85bd-a266124bcf40 · outbound

This paper cites Declines in connected language are associated with very early mild cognitive impairment: Results from the Wis- consin Registry for Alzheimer’s Prevention,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Declines in connected language are associated with very early mild cognitive impairment: Results from the Wis- consin Registry for Alzheimer’s Prevention,

Reference 25

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Observation ff51cfb2-e6f1-480e-aa15-56fb6ff6a8dc · outbound

This paper cites WavBERT: Exploiting semantic and non-semantic speech using Wav2vec and BERT for dementia detection,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description WavBERT: Exploiting semantic and non-semantic speech using Wav2vec and BERT for dementia detection,

Reference 26

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Observation 6812e673-d359-4638-a6ca-c8582a2a3d37 · outbound

This paper cites Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech,

Reference 27

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Disflu- encies and fine-tuning pre-trained language models for detection of Alzheimer’s disease,

Reference 28

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Observation 73adc705-1f39-4d20-89ae-cd8b67b296f1 · outbound

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Operationalizing clinical speech analytics: Moving from features to measures for real-world clinical impact,

Reference 29

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Observation 21902219-cae9-4c2f-ab1a-77c2491ad0e3 · outbound

This paper cites Using linguistic fea- tures longitudinally to predict clinical scores for Alzheimer’s dis- ease and related dementias,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Using linguistic fea- tures longitudinally to predict clinical scores for Alzheimer’s dis- ease and related dementias,

Reference 30

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

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description A comparative study of acoustic and linguistic fea- tures classification for Alzheimer’s disease detection,

Reference 31

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This paper cites Repeatability of commonly used speech and lan- guage features for clinical applications,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Repeatability of commonly used speech and lan- guage features for clinical applications,

Reference 32

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This paper cites GPT-4 Technical Report.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description GPT-4 Technical Report

Reference 33

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Claude 3.5 sonnet: Model card,

Reference 34

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description LLaMA: Open and Efficient Foundation Language Models

Reference 35

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Observation a984cce2-0844-41aa-9eed-2706f0f70f15 · outbound

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AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Capabilities of GPT-4 on Medical Challenge Problems

Reference 36

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Observation e15db7e6-fa7e-4fce-b5c4-7e1994a1286d · outbound

This paper cites Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today

Reference 37

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arxiv_id, observed 2026-07-03T23:09:01.745358Z

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Observation b473328c-a789-4406-8f17-a61f317e29cb · outbound

This paper cites Text dialogue analysis for pri- mary screening of mild cognitive impairment: Development and validation study,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Text dialogue analysis for pri- mary screening of mild cognitive impairment: Development and validation study,

Reference 38

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Observation 15cfa670-0a93-49b8-bdeb-cbda84031af7 · outbound

This paper cites Alzheimer’s disease recognition from spontaneous speech using large language mod- els,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Alzheimer’s disease recognition from spontaneous speech using large language mod- els,

Reference 39

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Observation b8b25aeb-38e1-4898-b707-7570f57e4160 · outbound

This paper cites Macro-descriptors for Alzheimer’s disease detec- tion using large language models,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Macro-descriptors for Alzheimer’s disease detec- tion using large language models,

Reference 40

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Observation d1407ff6-8ddd-4ce6-8b29-af40d675dba2 · outbound

This paper cites Profiling patient transcript using large language model reasoning augmentation for Alzheimer’s disease detection,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Profiling patient transcript using large language model reasoning augmentation for Alzheimer’s disease detection,

Reference 41

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Observation 33f35b57-abd1-4097-8a7f-bc50076c9fb1 · outbound

This paper cites an unresolved cited work.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Unresolved cited work

Reference 42

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Observation 45c5c806-542c-459b-99c4-6dd91391c6f9 · outbound

This paper cites Counting Ability of Large Language Models and Impact of Tokenization.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Counting Ability of Large Language Models and Impact of Tokenization

Reference 43

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arxiv_id, observed 2026-07-03T23:09:01.748123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3078f3db-73d3-4365-b71a-04b5bfd0dfbb · outbound

This paper cites Transformers can do arithmetic with the right embed- dings,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Transformers can do arithmetic with the right embed- dings,

Reference 44

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Observation 8994bcdf-ca4b-4425-bb5c-0d94bc4c68c0 · outbound

This paper cites Goodglass, E.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Goodglass, E

Reference 45

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Observation 123e1157-309e-44ec-8cbd-8234f3e0278f · outbound

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

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description The natural history of Alzheimer’s disease: Description of study cohort and accuracy of diagnosis,

Reference 46

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Observation a0d3280f-aea0-496a-8f89-f7d8cf0047aa · outbound

This paper cites Wisconsin alzheimer’s disease re- search center-notable discoveries and accomplishments in demen- tia research,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Wisconsin alzheimer’s disease re- search center-notable discoveries and accomplishments in demen- tia research,

Reference 47

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Observation fa89ae2b-dae6-46ea-9e84-84fd1647e2b8 · outbound

This paper cites The mini-mental state examination: a brief cognitive assessment,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description The mini-mental state examination: a brief cognitive assessment,

Reference 48

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Observation c01406f9-9a4a-456e-bab0-3e829b667589 · outbound

This paper cites WhisperX: Time- accurate speech transcription of long-form audio,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description WhisperX: Time- accurate speech transcription of long-form audio,

Reference 49

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Observation a26e95e2-9f43-4696-b957-4af9889cc68b · outbound

This paper cites L’examen psychologique dans les cas d’encephalopathie traumatique,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description L’examen psychologique dans les cas d’encephalopathie traumatique,

Reference 50

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Observation e567dcb6-eb22-4f10-9149-01c995f7e21b · outbound

This paper cites Leakage and the Reproducibility Crisis in ML-based Science.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Leakage and the Reproducibility Crisis in ML-based Science

Reference 51

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arxiv_id, observed 2026-07-03T23:09:01.753323Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 856a703c-4ef7-4af4-95ca-bfb98db81149 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Qlora: Efficient finetuning of quantized llms,

Reference 52

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Observation 274d5e70-3af8-4bce-94da-4ca07d7d1e69 · outbound

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

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Bert: Pre- training of deep bidirectional transformers for language under- standing,

Reference 53

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Observation d6e06297-7325-4f46-8070-e0d6a8a0521e · outbound

This paper cites Xgboost: A scalable tree boosting sys- tem,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Xgboost: A scalable tree boosting sys- tem,

Reference 54

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Observation 52b31a7a-431a-4b8c-8fec-85a4ec170209 · outbound

This paper cites Alzheimer’s dementia recognition through spontaneous speech: The ADReSS challenge,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Alzheimer’s dementia recognition through spontaneous speech: The ADReSS challenge,

Reference 55

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Observation c9a3f2f2-095c-470e-9ef1-40ba40939498 · outbound

This paper cites A unified approach to inter- preting model predictions,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description A unified approach to inter- preting model predictions,

Reference 56

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Observation 6a74bc4c-be69-43d9-a6cb-623659eec2d2 · outbound

This paper cites Alzheimer’s disease detection based on large language model prompt engineer- ing,.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Alzheimer’s disease detection based on large language model prompt engineer- ing,

Reference 57

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Observation 4358dc62-6862-4765-b426-9337bbf0a143 · outbound

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

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Exploring linguistic feature and model combination for speech recognition based automatic AD detection,

Reference 58

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Observation 50d68aad-455a-42b4-b1f1-c5283f874c51 · outbound

This paper cites Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

Reference 59

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arxiv_id, observed 2026-07-03T23:09:01.756217Z

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Pith citing papers

Observation b81964fa-2f35-48bc-91d6-cd654ad0539e · inbound

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description cites this paper.

AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description AI-based Cognitive-linguistic Features for Dementia Assessment in Picture Description

Reference 1

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local_arxiv, observed 2026-07-03T23:09:01.750770Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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