Paper Citation Record · LEDGER

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2412.06259.

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

pith.paper-citation-record.v1
2412.06259 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:55:14.938194Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:55:14.768453Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T19:55:15.116162Z

Reference resolution

41 of 41 outbound references displayed

verified exact1
verified fuzzy19
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f117e15-977f-402e-a4d6-fcf063cbe18f · outbound

This paper cites Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T19:55:15.120948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 004f0537-971c-4290-b680-ad46d83132d9 · outbound

This paper cites &=laughs.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection &=laughs

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.497187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c0b7cc7-c3c9-407f-9afb-b04756bef831 · outbound

This paper cites BertForSequenceClassifica- tion.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection BertForSequenceClassifica- tion

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.481962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a2981ed-d3d4-4b92-b18b-7d2fd24afbf6 · outbound

This paper cites Prompt Positions.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Prompt Positions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.467596Z

Source-reported events for the cited work

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Observation e7c0e8ba-8710-44b5-8745-917d9861beff · outbound

This paper cites /”) and transcripts containing only the subjects and added pause encoding (right side of the first “/.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection /”) and transcripts containing only the subjects and added pause encoding (right side of the first “/

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.452567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59b5f11a-dd63-4cc9-9fe5-964e7a40c8c7 · outbound

This paper cites Majority voting and ensemble techniques were further ap- plied across BERT and RoBERTa using different random seeds.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Majority voting and ensemble techniques were further ap- plied across BERT and RoBERTa using different random seeds

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.435653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2801352-c412-441f-9279-d7c476fe8d5c · outbound

This paper cites Advances in the early detection of alzheimer’s disease,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Advances in the early detection of alzheimer’s disease,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.796567Z

Source-reported events for the cited work

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Observation 377e5311-e857-488e-8333-d0ee941c8276 · outbound

This paper cites Brief cognitive screening instruments for early detection of alzheimer’s disease: a systematic review,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Brief cognitive screening instruments for early detection of alzheimer’s disease: a systematic review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.409344Z

Source-reported events for the cited work

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Observation 280195ce-6058-4b75-8e6d-a3933dfaf15c · outbound

This paper cites Fuente s. dl, fromm d, macwhinney b,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Fuente s. dl, fromm d, macwhinney b,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.393804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bdb78a2-2358-4854-a72d-91291173c747 · outbound

This paper cites Detecting cognitive decline using speech only: The ADReSSo Challenge.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Detecting cognitive decline using speech only: The ADReSSo Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.809206Z

Source-reported events for the cited work

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Observation 2295622b-7790-4c78-942e-231667b81fbe · outbound

This paper cites Using the outputs of different automatic speech recognition paradigms for acoustic-and bert-based alzheimer’s dementia detection through spontaneous speech.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Using the outputs of different automatic speech recognition paradigms for acoustic-and bert-based alzheimer’s dementia detection through spontaneous speech

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.378767Z

Source-reported events for the cited work

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Observation ddc483eb-8e41-478b-b550-64afefc6f94c · outbound

This paper cites Clever Hans Effect Found in Automatic Detection of Alzheimer's Disease through Speech.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Clever Hans Effect Found in Automatic Detection of Alzheimer's Disease through Speech

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.818033Z

Source-reported events for the cited work

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Observation 2e40e99e-8886-468a-bcbc-7e2343214c43 · outbound

This paper cites The ustc system for adress-m challenge,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection The ustc system for adress-m challenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.361667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea5e59ce-ed4b-4791-8400-9a1ddb2f9988 · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Automated screening for alzheimer’s dementia through spontaneous speech

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.826773Z

Source-reported events for the cited work

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Observation f067a166-b01b-46c0-bda3-17d1f14f071c · outbound

This paper cites Tackling the adresso challenge 2021: The muet-rmit system for alzheimer’s dementia recognition from spontaneous speech.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Tackling the adresso challenge 2021: The muet-rmit system for alzheimer’s dementia recognition from spontaneous speech

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.830900Z

Source-reported events for the cited work

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Observation aa5551b8-3f13-456a-8df6-ef3a1c1a99c3 · outbound

This paper cites Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.835017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c3ac42-7989-4050-a797-49ae5fc41b11 · outbound

This paper cites Tackling the adress challenge: A mul- timodal approach to the automated recognition of alzheimer’s de- mentia.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Tackling the adress challenge: A mul- timodal approach to the automated recognition of alzheimer’s de- mentia

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.839300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50e99cd3-a790-4b4c-a21d-bce80d607d18 · outbound

This paper cites Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.843340Z

Source-reported events for the cited work

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Observation 00722838-324f-4a3b-9bae-b30d1ec60f25 · outbound

This paper cites Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.847722Z

Source-reported events for the cited work

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Observation 01010dba-05a9-4394-a09b-3414f3d0c7ce · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection A comparative study of acoustic and linguistic fea- tures classification for alzheimer’s disease detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.320259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f62041bd-2792-4f38-822d-bda86c737654 · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Exploring linguistic feature and model combination for speech recognition based automatic AD detection

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:55:15.033122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84e69b8b-4bfa-4f4c-b787-aa208ec8c9f5 · outbound

This paper cites Wavbert: Exploiting semantic and non-semantic speech using wav2vec and bert for dementia detection,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Wavbert: Exploiting semantic and non-semantic speech using wav2vec and bert for dementia detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.305506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9bba9574-76ce-458c-8775-2a35ec01b6b7 · outbound

This paper cites Exploring low-resource medical image classification with weakly supervised prompt learning,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Exploring low-resource medical image classification with weakly supervised prompt learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.893233Z

Source-reported events for the cited work

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Observation e98ab619-1075-4eeb-a7a5-3657b445a27e · outbound

This paper cites Exploiting prompt learning with pre-trained language models for alzheimer’s disease detection,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Exploiting prompt learning with pre-trained language models for alzheimer’s disease detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.277513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d787b98b-cf77-4f4c-b741-c5b0b6a55132 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.872646Z

Source-reported events for the cited work

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Observation 9da2cb44-830d-4a61-a89c-60f2727c4da0 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.876735Z

Source-reported events for the cited work

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Observation 45030513-84f0-4f11-9328-ae97d6eec1dc · outbound

This paper cites Prompt-learning for short text classification,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Prompt-learning for short text classification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.263856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b64f919-01c6-4172-a771-8c7ee8539374 · outbound

This paper cites Prompt- based learning framework for zero-shot cross-lingual text classi- fication,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Prompt- based learning framework for zero-shot cross-lingual text classi- fication,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.250382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96e29208-607f-4fa2-a2d6-e79edf62bb93 · outbound

This paper cites Match-prompt: Improv- ing multi-task generalization ability for neural text matching via prompt learning,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Match-prompt: Improv- ing multi-task generalization ability for neural text matching via prompt learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.237118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c54ea8d-85c8-4756-b1de-cc1947ad83e2 · outbound

This paper cites Dis- fluencies and fine-tuning pre-trained language models for detec- tion of alzheimer’s disease.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Dis- fluencies and fine-tuning pre-trained language models for detec- tion of alzheimer’s disease

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.922110Z

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Observation 9698495e-ecee-4575-804c-a81c2df9f0de · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.897171Z

Source-reported events for the cited work

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Observation 76b0517d-b9c6-40b2-9ebc-4b1bb0a55939 · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Robust speech recognition via large-scale weak su- pervision,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.901186Z

Source-reported events for the cited work

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Observation a54fab24-de27-4ccb-b8b5-78af66850b25 · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.199558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57d3f1be-5cb9-4c4d-9f4d-a93582f52540 · outbound

This paper cites MacWhinney, The CHILDES project: Tools for analyzing talk, Volume I: Transcription format and programs.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection MacWhinney, The CHILDES project: Tools for analyzing talk, Volume I: Transcription format and programs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.909190Z

Source-reported events for the cited work

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Observation aec0d3a1-73d0-483b-beeb-ff138fff92d6 · outbound

This paper cites OpenPrompt: An Open-source Framework for Prompt-learning.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection OpenPrompt: An Open-source Framework for Prompt-learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.913474Z

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Observation 5b992982-2660-41d6-9d3d-f47e542a4e9b · outbound

This paper cites Speaker identification on the scotus corpus,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Speaker identification on the scotus corpus,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.177514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00f177b0-225c-4bdb-b426-ee0eca5684eb · outbound

This paper cites Longitudinal speech biomarkers for automated alzheimer’s detection,.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Longitudinal speech biomarkers for automated alzheimer’s detection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.156205Z

Source-reported events for the cited work

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Observation 61e04461-e482-44e2-b7a7-cd41fae062ca · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Temporal integra- tion of text transcripts and acoustic features for alzheimer’s diag- nosis based on spontaneous speech,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:55:15.143133Z

Source-reported events for the cited work

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Observation 521070f4-ea19-4930-8a84-73628a095ed8 · outbound

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

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Useful blunders: Can automated speech recognition errors improve downstream demen- tia classification?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.934159Z

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Observation 0f4739d3-21c7-4e02-a276-669e1fcf14ea · outbound

This paper cites Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:14.938194Z

Source-reported events for the cited work

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Observation 57f1f90d-dfd4-448b-94f6-179e1adf13e2 · outbound

This paper cites an unresolved cited work.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:55:15.291075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 6f117e15-977f-402e-a4d6-fcf063cbe18f · inbound