Paper Citation Record · LEDGER

Recognizing Dementia from Neuropsychological Tests with State Space Models

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.10311.

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

pith.paper-citation-record.v1
2507.10311 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:39:25.008459Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy31
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 065dbe85-3511-4c9d-8e88-297a1a0ec7f2 · outbound

This paper cites Nonsteroidal antiinflammatory drugs for the prevention of alzheimer’s disease: a systematic review,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Nonsteroidal antiinflammatory drugs for the prevention of alzheimer’s disease: a systematic review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:30.089801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a85c2e4e-8047-4900-b452-da55a9d5822f · outbound

This paper cites Midlife adiposity predicts earlier onset of alzheimer’s dementia, neuropathology and presymptomatic cerebral amyloid accumulation,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Midlife adiposity predicts earlier onset of alzheimer’s dementia, neuropathology and presymptomatic cerebral amyloid accumulation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:29.864567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e6e647b-ae50-4901-ac2e-39868af94c81 · outbound

This paper cites The mini-mental state examination (mmse),.

Recognizing Dementia from Neuropsychological Tests with State Space Models The mini-mental state examination (mmse),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:29.693614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5094636-80a5-4e97-81e8-bad40d1a1ddf · outbound

This paper cites De- tecting cognitive decline using speech only: The ADReSSo challenge,.

Recognizing Dementia from Neuropsychological Tests with State Space Models De- tecting cognitive decline using speech only: The ADReSSo challenge,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:29.518723Z

Source-reported events for the cited work

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Observation 06e0388d-2e10-4c38-a7ea-820cfacdf031 · outbound

This paper cites Spoken language biomarkers for detect- ing cognitive impairment,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Spoken language biomarkers for detect- ing cognitive impairment,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:29.350675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a38acb2b-ae50-4067-aa47-018917711f26 · outbound

This paper cites Detecting dementia from long neuropsychological interviews,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Detecting dementia from long neuropsychological interviews,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:29.112596Z

Source-reported events for the cited work

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Observation cc4180ab-6dc0-4fac-94b2-713399371328 · outbound

This paper cites Role-specific language models for processing recorded neuropsychological exams,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Role-specific language models for processing recorded neuropsychological exams,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:28.908274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c341b4b-1c87-4392-a1a6-598ffca9d351 · outbound

This paper cites Influence of the interviewer on the automatic assessment of alzheimer’s disease in the context of the adresso challenge,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Influence of the interviewer on the automatic assessment of alzheimer’s disease in the context of the adresso challenge,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:28.728777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 57456889-7ec5-410e-a762-afd34a9c96af · outbound

This paper cites Attention is all you need,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Attention is all you need,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:28.615609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3599b909-204a-42f7-9de0-cf7509c70776 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Recognizing Dementia from Neuropsychological Tests with State Space Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:20.445561Z

Source-reported events for the cited work

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Observation e026266a-0884-4252-b7f1-e0a0bdc9aa49 · outbound

This paper cites Comparing acoustic-based approaches for alzheimer’s disease detection,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Comparing acoustic-based approaches for alzheimer’s disease detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:28.452533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27a2db2a-498a-4d7e-b960-34133d1ce5a9 · outbound

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

Recognizing Dementia from Neuropsychological Tests with State Space Models Leveraging pretrained representations with task-related keywords for alzheimer’s disease detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:28.275796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59e252cb-99f2-4086-b708-fde1f5572f99 · outbound

This paper cites Dass: Distilled audio state space models are stronger and more duration- scalable learners,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Dass: Distilled audio state space models are stronger and more duration- scalable learners,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:28.065632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4131d1e-ff4e-4e51-b3f8-fa017b6dea3a · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Efficiently modeling long sequences with structured state spaces,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.956052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25fbb0d8-c836-490e-9c14-e91f8e06eef1 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Recognizing Dementia from Neuropsychological Tests with State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

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Source-reported events for the cited work

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Observation cacbdf80-580f-446d-9d09-4f2a3ccbd244 · outbound

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

Recognizing Dementia from Neuropsychological Tests with State Space Models Alzheimer’s dementia recognition through spontaneous speech: The ADReSS Challenge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.846504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6eb12bf2-b6a3-4e63-a980-17caae1b654d · outbound

This paper cites Alzheimer’s dementia recogni- tion using acoustic, lexical, disfluency and speech pause features robust to noisy inputs,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Alzheimer’s dementia recogni- tion using acoustic, lexical, disfluency and speech pause features robust to noisy inputs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.718466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 199baee9-67b1-4745-84c5-a04a97918b04 · outbound

This paper cites Detection of dementia on voice recordings using deep learning: a framingham heart study,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Detection of dementia on voice recordings using deep learning: a framingham heart study,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.600962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6b90dafb-70d1-4707-83e2-ffa8de68d83b · outbound

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

Recognizing Dementia from Neuropsychological Tests with State Space Models wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.475157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 401aca25-b18f-45c8-ae2b-b32f6064868d · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Robust speech recognition via large-scale weak super- vision,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:21.921414Z

Source-reported events for the cited work

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Observation a5e216cf-e5ce-4d8f-a31a-c4d9c728ed79 · outbound

This paper cites Classifying alzheimer’s disease using audio and text-based representations of speech,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Classifying alzheimer’s disease using audio and text-based representations of speech,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.342320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bb792979-b097-4b18-bf95-0a3bec9bffcf · outbound

This paper cites VMamba: Visual State Space Model.

Recognizing Dementia from Neuropsychological Tests with State Space Models VMamba: Visual State Space Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:22.213304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b1be4a0-92b7-44e5-be23-a92d5f346b1a · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Recognizing Dementia from Neuropsychological Tests with State Space Models Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:22.380247Z

Source-reported events for the cited work

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Observation 3e8e4379-1b8b-470a-acbe-8b814b972319 · outbound

This paper cites Audio mamba: Bidirectional state space model for audio representation learning,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Audio mamba: Bidirectional state space model for audio representation learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.227011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2bcddf0e-e152-46c6-8ca3-923d2efe9475 · outbound

This paper cites Audio Mamba: Pretrained Audio State Space Model For Audio Tagging.

Recognizing Dementia from Neuropsychological Tests with State Space Models Audio Mamba: Pretrained Audio State Space Model For Audio Tagging

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:39:25.298685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 322ea4b8-4102-4ee5-a55b-e63b819cce2f · outbound

This paper cites SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model.

Recognizing Dementia from Neuropsychological Tests with State Space Models SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:22.827765Z

Source-reported events for the cited work

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Observation 5cb8e5b6-81ab-484b-89f1-888c8c928016 · outbound

This paper cites Mamba in speech: Towards an alternative to self-attention,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Mamba in speech: Towards an alternative to self-attention,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:27.105805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea7b376c-65e2-4823-aeca-867959790a0b · outbound

This paper cites Speech slytherin: Examining the performance and efficiency of mamba for speech separation, recognition, and synthesis,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Speech slytherin: Examining the performance and efficiency of mamba for speech separation, recognition, and synthesis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.977821Z

Source-reported events for the cited work

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Observation 4570f959-db0a-4d38-b0f5-a4090477deb7 · outbound

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

Recognizing Dementia from Neuropsychological Tests with State Space Models BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.816131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1176cd54-7336-47ba-8c62-808c4ac0907c · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.649718Z

Source-reported events for the cited work

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Observation f91fd589-6ad3-4647-bf3d-b3c8e6d2545a · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe,.

Recognizing Dementia from Neuropsychological Tests with State Space Models pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.503319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3e4b6e8-9ffb-4470-9236-3e65419c5bea · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Imagenet: A large-scale hierarchical image database,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.326941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 335431f9-7d05-4f62-8469-9a3d58df2fbd · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Audio set: An ontology and human-labeled dataset for audio events,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.182760Z

Source-reported events for the cited work

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Observation b2afbe3e-3e6c-448e-b234-61d84f8aa3b7 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:26.044010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 103d56b5-a0e0-4ed3-b5a2-a77516a40725 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Recognizing Dementia from Neuropsychological Tests with State Space Models LLaMA: Open and Efficient Foundation Language Models

Reference 35

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Source-reported events for the cited work

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Observation d2c4e2e1-2555-4c9d-b12b-70b8d209a47e · outbound

This paper cites Qwen2 technical report,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Qwen2 technical report,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:25.883036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 193ed04c-47bc-43e3-b102-c65f244465ca · outbound

This paper cites Phi-4-mini technical report: Compact yet powerful multi- modal language models via mixture-of-loras,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Phi-4-mini technical report: Compact yet powerful multi- modal language models via mixture-of-loras,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:25.792394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0436a98a-a935-4d47-99fb-ba9f0a4e6066 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Lora: Low-rank adaptation of large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:25.664919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d334a95-f0ce-4bdf-91a2-6136c8255ad9 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

Recognizing Dementia from Neuropsychological Tests with State Space Models Adam: A method for stochastic optimiza- tion,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:39:25.500657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 524c29d3-d885-49d0-95a5-c0e83e7591cb · outbound

This paper cites Scaling Laws for Neural Language Models.

Recognizing Dementia from Neuropsychological Tests with State Space Models Scaling Laws for Neural Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:25.008459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.