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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-10T06:31:04.303077+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=sha256:62d92d9675fd407d720cfa30cef0e64f995c5f2ba7fe579c6ce2eeb84b4127c6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.129146Z digest=sha256:b1cde8e45a493be6612a1922d6f0359ce959790d6d348ee200fe679aa7b38e48

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.194794Z digest=sha256:dcd05bbbd0684d2cca64cb59b2411db091703629723a73d4e895aea3b9daf956

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.246151Z digest=sha256:9a87b3af50bf0778c0106468b95f3a090a3921e1f5c00d12141b016723a6fce3

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=sha256:7eefa01e45b424e4e62620d5a2ec9d5b200d2206c57ddb52e2efd1c9835a74ba

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.368713Z digest=sha256:5698a4129904711955a465d95788c8517173ef007609cc23e0cb40723f01117f

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.421569Z digest=sha256:9516d81355ed13853b2b12edaa882e19319fcf9476b0a03557b5eac296a46195

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 2026-08-10T06:31:04.303077+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
raw_fallback, observed 2026-08-06T20:05:19.127019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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=sha256:986867c1e12d3eebd6c7d928e9ce5bf37e9964ced281b282cb2414dd9210ac98

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

Resolution
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=sha256:4e5323bc53ea0468eeee1a04b8e3e143880ab2ed6288b6d05a63dd207ff6e69e

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.813607Z digest=sha256:119d02b2419c230757ff8a69bebb97863f6386aa5c4f02f8f31ffc0766393b9b

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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
raw_fallback, observed 2026-08-06T20:05:17.293346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.080283Z digest=sha256:4251d3c3554e208af2420b8028f9831deef5b3be3a2f80d585d0c800dc7fca36

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.142980Z digest=sha256:f89e31b42e9a58a4fe466e3941973e5336836a74ff6d52bf3b8f96b14aab9f3f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.265241Z digest=sha256:5011936ba4a162a74db18c23a8e69ebd9fb28923bca70ffc884698ccbf07cdca

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.345912Z digest=sha256:39379c9ed78cd16043a4fc89fc9227662a2d86bb1c68f9af071e37adbcc60e08

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.466881Z digest=sha256:9e875ad0d3e5d56434b9498072ffc164154c492d9d25b60485a4067fff4d63bf

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.549069Z digest=sha256:c20fb26473dbbec2bcba7d9cf1291a40ca9795ca5b7404dc8d76597576ff73a7

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
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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=sha256:23c471a81c703758984ce60cd4c84ebedadc74c81f4dc84ebdf39e4ecf72847c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.734518Z digest=sha256:7fd6404c56ea3becc0cca599db28a438196902a0a66fafb6a92bdd4e41587126

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T20:24:26.058284Z digest=sha256:2311f382ca4c82c8fa946fc55453a82dcf35302d6c8497b6b82dfe2297e480b6