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Paper Citation Record · LEDGER

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2507.03899.

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

pith.paper-citation-record.v1
2507.03899 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:05:14.734518Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T20:24:26.058284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:28:24.577487Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact4
  • verified fuzzy15
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 849f815b-2d3a-4114-bc87-9c84794b3d05 · outbound

This paper cites Alzheimer's & Dementia, 20: 0 3708 -- 3821, 2024.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Alzheimer's & Dementia, 20: 0 3708 -- 3821, 2024

Reference 1

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unresolved
no resolver link, observed 2026-08-06T20:05:13.077921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:13.077921Z digest=sha256:0f94ac953ac348077bd94e28f6e981154f7f81374d443b6266dfb6cb7ec2b63a

Observation abb2dfd3-63c1-4de7-be68-90e4232586bc · outbound

This paper cites Kim, Goo-Rak Kwon, Kun Ho Lee, and Ho Yub Jung.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Kim, Goo-Rak Kwon, Kun Ho Lee, and Ho Yub Jung

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:19.955087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.129146Z digest=sha256:293cdc9efa6fb5fd0329abd3702bf7e912edb7be23c2de7c24635d8d22a6e351

Observation 38b6cf23-addd-40fd-a653-b1b9aed3eeb5 · outbound

This paper cites Shenuarin Bhuiyan, Elizabeth A.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Shenuarin Bhuiyan, Elizabeth A

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T20:05:19.823371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.194794Z digest=sha256:b63c6c05156ec1e33d45ad2d2bbddc2a5220d006dce91f055e583fe428db1168

Observation 73440d26-8d60-41d3-ad69-48a7ab96bbd1 · outbound

This paper cites Functional brain network classification for alzheimer's disease detection with deep features and extreme learning machine.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Functional brain network classification for alzheimer's disease detection with deep features and extreme learning machine

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:19.624874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.246151Z digest=sha256:4ff7be6487143793bc0e55e9b98c158d86191058139063dbbb3eeafea607b66d

Observation 70eedac8-924b-4706-b512-e35dd48f8a12 · outbound

This paper cites MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks

Reference 5

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unresolved
no resolver link, observed 2026-08-06T20:05:13.293881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:13.293881Z digest=sha256:af2730dac5f86b7f8dfd6191d92eb2c8c34f4b01b57404213e39e69338d68ebd

Observation 763074cc-f000-4ca9-ad68-093c5a32cc79 · outbound

This paper cites Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:05:16.065154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.368713Z digest=sha256:a86816709d5accb0b0fad37a7888d6f18fada2e1fc3f12189ddf39c848abf8dd

Observation 50232e68-79c9-4aa6-aa01-87d4bb3e5df6 · outbound

This paper cites Learning phrase representations using rnn encoder-decoder for statistical machine translation.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Learning phrase representations using rnn encoder-decoder for statistical machine translation

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T20:05:19.457082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.421569Z digest=sha256:f75ef30e86a5c386a91df81f084cabc6a606d232327c500bb3a34f2d0a644bc4

Observation f56d0181-ab64-49ea-95fc-a2ca7d7f0221 · outbound

This paper cites Hippocampus analysis by combination of 3-d densenet and shapes for alzheimer's disease diagnosis.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Hippocampus analysis by combination of 3-d densenet and shapes for alzheimer's disease diagnosis

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:19.294563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b3eaeb59-17e2-4904-8902-d48512198ef1 · outbound

This paper cites Rnn-based longitudinal analysis for diagnosis of alzheimer's disease.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Rnn-based longitudinal analysis for diagnosis of alzheimer's disease

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d173cb41-16ea-4639-9090-890d0c3993ab · outbound

This paper cites Hand and Robert J.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Hand and Robert J

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 37b9dd1e-3509-44e2-8f3c-d85a1210c2ba · outbound

This paper cites Vision transformers for the prediction of mild cognitive impairment to alzheimer’s disease progression using mid-sagittal smri.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Vision transformers for the prediction of mild cognitive impairment to alzheimer’s disease progression using mid-sagittal smri

Reference 11

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d03f66fb-7863-4e6d-be2a-ae6c77362814 · outbound

This paper cites Long short-term memory.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Long short-term memory

Reference 12

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unresolved
no resolver link, observed 2026-08-06T20:05:13.683465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:13.683465Z digest=sha256:e80fe5b42be745137e3bdd06d4cc3cfa821e7ae26700a4e36ab02c6974b421bb

Observation 16ebb233-be7f-42be-9871-797c6602d9e1 · outbound

This paper cites Jack, Matt A.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Jack, Matt A

Reference 13

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unresolved
no resolver link, observed 2026-08-06T20:05:13.752992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:13.752992Z digest=sha256:6350ca5312c5496035de6cdb18a1bd1e1b6b7812a731d5625c8a55756200d507

Observation c782764f-762a-41e5-b699-a5d794570d61 · outbound

This paper cites Early diagnosis of alzheimer's disease based on selective kernel network with spatial attention.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Early diagnosis of alzheimer's disease based on selective kernel network with spatial attention

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T20:05:18.693074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.813607Z digest=sha256:747a8628ba7c8b6583bafd76d5ccd655dc8eca7ff551d033f520d42d5f6335a8

Observation a4ab04ef-3459-4b37-8d82-7108395e1d98 · outbound

This paper cites Lin, and Dinggang Shen.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Lin, and Dinggang Shen

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:18.344257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.865648Z digest=sha256:b6829c75169a1e35875cea1cc2a6e378eeb0d0fef621aff536370031d2d59709

Observation d0091ce8-5852-4c98-8b50-6cf68ba2af5a · outbound

This paper cites Dementia prevention, intervention, and care: 2020 report of the lancet commission.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Dementia prevention, intervention, and care: 2020 report of the lancet commission

Reference 16

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verified exact
doi, observed 2026-08-06T20:05:18.006880Z

Source-reported events for the cited work

retraction dated 2023-04-27. Source: crossref record 10.1016/s2468-2667(23)00083-x->10.1016/s0140-6736(20)30367-6:retraction, observed 2026-07-11T02:54:09.828931+00:00. This notice travels one citation hop only.

correction dated 2023-09-28. Source: crossref record 10.1016/s0140-6736(23)02043-3->10.1016/s0140-6736(20)30367-6:correction, observed 2026-07-11T03:17:57.419801+00:00. This notice travels one citation hop only.

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Observation 9af8e11c-1063-4247-88a0-8d554bc37b21 · outbound

This paper cites TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:05:15.605947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.973780Z digest=sha256:4ebdae40903e334cd181529ad77a9914d6c7eb51b562f4e7b88afbe95d7564e2

Observation a69ed4b7-c7d0-4627-ac3a-dd05f7a13fa4 · outbound

This paper cites Mueller, Michael W.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Mueller, Michael W

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.021420Z digest=sha256:3d98a5fa7b646c1cb5f4d8c8c24abf51de18f5f527513923aae2e009ad04806e

Observation 2ca564c5-b17e-4c55-8b24-ff11da6cc7f8 · outbound

This paper cites Alexander, Jiashi Feng, and B.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Alexander, Jiashi Feng, and B

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.080283Z digest=sha256:e0fb0152e962178f5efed4ba18ce4aa8f57f6d3ff65755c4ef4f3853f1af8827

Observation beff75e1-d052-43ef-bf6a-d605febcd8aa · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Pytorch: An imperative style, high-performance deep learning library

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.142980Z digest=sha256:96c512ca66741e4359241efaee2f0abd4eef2f9eca2b7ecadc585b3f3b376340

Observation d4379368-85b1-49a8-bfcf-f312138752a1 · outbound

This paper cites Khojaste Sarakhsi, Seyedhamidreza Shahabi Haghighi, Seyyed M.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Khojaste Sarakhsi, Seyedhamidreza Shahabi Haghighi, Seyyed M

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T20:05:15.340767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.265241Z digest=sha256:5372e689793325310979da3438db447112addba4a228d7e45953fdc29e815241

Observation ab19444c-9d1f-4a81-8a75-22bffb005131 · outbound

This paper cites Alzheimer's disease.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Alzheimer's disease

Reference 22

Resolution
verified exact
doi, observed 2026-08-06T20:05:14.951947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.345912Z digest=sha256:6ca4d36e8d7b2e50cb0d5585ff3d65620c75cb847602342c0d8373987a61901f

Observation b801af88-2da7-48e3-9f96-f7b556e519aa · outbound

This paper cites Spasov, Luca Passamonti, Andrea Duggento, Pietro Lio’, and Nicola Toschi.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Spasov, Luca Passamonti, Andrea Duggento, Pietro Lio’, and Nicola Toschi

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:16.686432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.466881Z digest=sha256:7cdec6c2602c290e9c9f48569e2ec0ad1665582da6d26d95dcfdb9bd6c9987da

Observation 1e946856-5297-4bd1-afe5-6d766ad4ad22 · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:16.453766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.549069Z digest=sha256:b4ae7c11696a877ab613ff2065c53d608946d9756854fd24fcedd2705e354053

Observation fafef3a0-b342-46a5-a029-1439a5596689 · outbound

This paper cites A transformer-based framework for multivariate time series representation learning.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences A transformer-based framework for multivariate time series representation learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:14.636677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:14.636677Z digest=sha256:ba67c49a9b172adbd96b6d4dae56680f7831021138bfa99296126edce1e64495

Observation f0738346-672e-4b75-940f-f58754c07971 · outbound

This paper cites Predicting future clinical changes of mci patients using longitudinal and multimodal biomarkers.

Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences Predicting future clinical changes of mci patients using longitudinal and multimodal biomarkers

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:16.233676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.734518Z digest=sha256:791b072dfb70849f9000ce2fd83d187df3893b4201a50543611cbcc7736c5aa3

Pith citing papers

Observation 0d59b9ce-072e-4694-a73e-0932560bb4c6 · inbound

Dual Model Deep Learning for Alzheimer Prognostication cites this paper.

Dual Model Deep Learning for Alzheimer Prognostication Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:28:24.578890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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