Paper Citation Record · LEDGER

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.00861.

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

pith.paper-citation-record.v1
2506.00861 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:28.092196Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:23.279892Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:59:28.591108Z

Reference resolution

37 of 37 outbound references displayed

verified exact3
verified fuzzy31
unresolved3
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5b3e868-3ad3-4a47-b990-ff6a87a8ffce · outbound

This paper cites Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:59:28.653617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb9e387a-ed7c-4a52-9a74-36617b5c970f · outbound

This paper cites The overall block diagram illustrat- ing the computation process is shown in Figure 1 and described as follows.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment The overall block diagram illustrat- ing the computation process is shown in Figure 1 and described as follows

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:34.897125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b93ce466-4251-4ca2-9f9c-d17f0ad17c2e · outbound

This paper cites The embeddings extracted from ViT-BERT are further used for regression with machine learning models.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment The embeddings extracted from ViT-BERT are further used for regression with machine learning models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:34.585420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ec99507-dede-4ca0-bb02-c6cfd2bb26f7 · outbound

This paper cites Cookie Theft.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Cookie Theft

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:34.435184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 000a3eb8-7245-47f3-8731-9adf99183476 · outbound

This paper cites an unresolved cited work.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:59:34.281882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fd61b356-8117-404e-8d01-fcc9240c0c98 · outbound

This paper cites an unresolved cited work.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:59:34.164869Z

Source-reported events for the cited work

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Observation 0103e765-dd7f-4301-8cdd-826430a4aaa2 · 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 AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Using the outputs of different automatic speech recognition paradigms for acoustic-and BERT-based Alzheimer’s dementia detection through spontaneous speech

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:33.112497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bfdc74d-bf2e-4d8d-9355-7722da6cbaf6 · outbound

This paper cites Dementia,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Dementia,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:34.027283Z

Source-reported events for the cited work

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Observation f0bd541e-34bc-404f-9bbc-ee8eff051ce6 · outbound

This paper cites Speech and language impairments in dementia,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Speech and language impairments in dementia,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:33.891441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fa18666-9125-4641-9cdd-7f49fa161a4c · outbound

This paper cites Alzheimer’s dementia recognition through spontaneous speech,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Alzheimer’s dementia recognition through spontaneous speech,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:33.753285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d811ada3-4281-4186-9488-8d6115baec58 · outbound

This paper cites Evaluation of speech-based pro- tocol for detection of early-stage dementia.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Evaluation of speech-based pro- tocol for detection of early-stage dementia

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:33.573094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1a9bbc19-241f-4f0b-89c3-1efcc948f5ac · outbound

This paper cites Lexical and acoustic speech features relating to alzheimer disease pathology,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Lexical and acoustic speech features relating to alzheimer disease pathology,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:33.464578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b34d2690-6608-4757-a3a5-d47e9a807507 · outbound

This paper cites Speech rate and syntactic complexity effects on the auditory comprehension of alzheimer patients,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Speech rate and syntactic complexity effects on the auditory comprehension of alzheimer patients,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:33.298621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3291d18b-ba74-4a25-a674-4c6a23374a7a · outbound

This paper cites Automatic measurement of prosody in behavioral variant ftd,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Automatic measurement of prosody in behavioral variant ftd,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.014754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 431666ac-d456-43ca-bced-737b11321b0e · outbound

This paper cites A two- step attention-based feature combination cross-attention system for speech-based dementia detection,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment A two- step attention-based feature combination cross-attention system for speech-based dementia detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.986029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ff059d0-62bc-4bfc-9899-239f7a6f5a51 · outbound

This paper cites Acoustic speech analysis in alzheimer’s disease: A systematic review and meta-analysis,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Acoustic speech analysis in alzheimer’s disease: A systematic review and meta-analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.803397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e6cec59-d361-45cf-aaa7-c4b2918b71e8 · outbound

This paper cites Automatic detection of Alzheimer’s disease using spontaneous speech only,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Automatic detection of Alzheimer’s disease using spontaneous speech only,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.674150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6e991b1-93b9-486f-b3dd-5dcaf26f3337 · outbound

This paper cites Detecting dementia from speech and transcripts using transformers,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Detecting dementia from speech and transcripts using transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.544523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc04dc08-060b-472f-af8f-8ab9d1fb7519 · outbound

This paper cites A systematic review of ex- pressive and receptive prosody in people with dementia,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment A systematic review of ex- pressive and receptive prosody in people with dementia,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.387830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea688d20-9f85-46bc-afe9-71d779459e62 · outbound

This paper cites Prosody analysis as a tool for differential diagnosis of cognitive impairment,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Prosody analysis as a tool for differential diagnosis of cognitive impairment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:32.223895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f616f254-d6f7-419b-a8be-90d99dd3709d · outbound

This paper cites The F0 contour is smoothed to pro- duce the FM envelope.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment The F0 contour is smoothed to pro- duce the FM envelope

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:34.719308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0b659e3-17e9-436f-b12a-44e9700c332f · outbound

This paper cites The rhythms of rhythm,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment The rhythms of rhythm,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:31.744578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 589d05fe-760a-4101-b47e-134446c716bb · outbound

This paper cites The Future of Prosody: It’s about Time,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment The Future of Prosody: It’s about Time,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:31.536629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fea5c5ce-4c0b-44c9-8003-412bc3d66fc4 · outbound

This paper cites Quantifying and correlating rhythm for- mants in speech,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Quantifying and correlating rhythm for- mants in speech,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:31.295946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09018d1f-c0d6-4990-9346-65b474b0a818 · outbound

This paper cites Cross-linguistic rhythm analysis of Mising and Assamese,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Cross-linguistic rhythm analysis of Mising and Assamese,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:31.116624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afc35b44-b10e-431e-b0a2-27ded544f869 · outbound

This paper cites Intelligibility assessment of cleft lip and palate speech using Gaussian posteri- ograms based on joint spectro-temporal features,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Intelligibility assessment of cleft lip and palate speech using Gaussian posteri- ograms based on joint spectro-temporal features,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:29.251123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cde26c51-08b4-4efc-8ea6-95901dcb8c5a · outbound

This paper cites Analyzing long-term rhythm variations in mising and assamese using frequency domain correlates,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Analyzing long-term rhythm variations in mising and assamese using frequency domain correlates,

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T11:59:28.275879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c7d019ab-388d-471d-80e1-30f49e49c68f · outbound

This paper cites A robust algorithm for pitch tracking (rapt),.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment A robust algorithm for pitch tracking (rapt),

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:30.727397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4db2297-8380-4777-a829-c1b31ee9b5f6 · outbound

This paper cites r9y9/pysptk: 0.1. 14,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment r9y9/pysptk: 0.1. 14,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:30.490064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bef06ee5-6763-432c-88ff-1ca1b4c55970 · outbound

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

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Detecting cognitive decline using speech only: The ADReSSo Challenge,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:30.266612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef06095b-c0ef-48b5-ba3e-eea1219abcb2 · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:30.021785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5efc01fc-624a-4d27-a169-6a5df8a6cd98 · outbound

This paper cites an unresolved cited work.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:59:29.712687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33678bf8-34cb-4c7e-a5fc-ac6fcee1eb40 · outbound

This paper cites Acoustic and percep- tual evaluation of category goodness of /t/ and /k/ in typical and misarticulated children’s speech,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Acoustic and percep- tual evaluation of category goodness of /t/ and /k/ in typical and misarticulated children’s speech,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:29.451574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0d15e42-e018-44fe-9771-d5a952c454f3 · outbound

This paper cites Evaluating web-based automatic transcription for Alzheimer speech data: Transcript comparison and machine learning analysis,.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Evaluating web-based automatic transcription for Alzheimer speech data: Transcript comparison and machine learning analysis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:29.114292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ed18780-924e-4f85-9747-2723f9172a7f · outbound

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

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:28.940180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5d0c9ff-67a1-4788-accc-8f11c8e2bb9e · outbound

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

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:28.864827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e31329b-11aa-406d-ab84-c0df0fc9d5d2 · outbound

This paper cites Available: https://doi.org/10.1145/3694785.

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Available: https://doi.org/10.1145/3694785

Reference 2024

Resolution: verified exact; doi, observed 2026-08-07T11:59:28.493802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation b5b3e868-3ad3-4a47-b990-ff6a87a8ffce · inbound