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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.129146Z digest=sha256:062c646862ade076fed308c7cbbd60acccc799d6f9d6ca30cbfe2f76cb18a618

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.194794Z digest=sha256:4014e1ace153fd3fe326fae8808cae344b57510f8d49893bbadcbdaf8dd67933

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.246151Z digest=sha256:3046d1ebc9a3c06402809a096719cafe4d7c98f7dc0ff59a26d1279498d02b13

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.368713Z digest=sha256:c411ff64fc032de41f98784144dacaf2811225789ab0e5fe2afa116228846cf2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.421569Z digest=sha256:5b4520a754396a2bbac3d154e5fb6cc7f890d2094b51a6c2f627cbea902cd7dc

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

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=sha256:6350ca5312c5496035de6cdb18a1bd1e1b6b7812a731d5625c8a55756200d507

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

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:13.813607Z digest=sha256:ef98225d6a1026a93fdee05fe2878426153e1c6717cfb77431da5d90c542fdb5

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 2026-08-18T06:34:40.430872+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

Resolution
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.

source=arxiv_source observed=2026-08-06T20:05:13.907624Z digest=sha256:59b87f1b1c5c0a051be0cb71dbe39177cce2cad5c33bbec3bc93f2bbaf893d37

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.021420Z digest=sha256:c17f5003f402b5f959d5e6f9c47992a819ea9d9ded0ff49a73cb3a902cde3bba

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 2026-08-18T06:34:40.430872+00:00.

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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
raw_fallback, observed 2026-08-06T20:05:16.990832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.142980Z digest=sha256:941575d15f6675807647f072b2243ef28653f5fe18e35270862d4093630cfc71

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.265241Z digest=sha256:41b841cedb198359e74755ca9935b02447a62620fb25931baa8e88f6cdb1d52b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.345912Z digest=sha256:326a00978e17e27227322c2ddc861faa5c6e44b93f9ee052af11da89e9d59915

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.466881Z digest=sha256:6d5b245dec8381a52bc2d8b832d624351b45ac7654e1028081cfb0b80221d358

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:14.549069Z digest=sha256:13e0268cbe4cabca5c0b7ab4261b2490556d76c7ef791be8cf51a56fc54546d9

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: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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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