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Paper Citation Record · LEDGER

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning

As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2508.18058.

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

pith.paper-citation-record.v1
2508.18058 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:42:46.490270Z

measured 76 of 76 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 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

76 of 76 outbound references displayed

  • verified exact0
  • verified fuzzy74
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99252210-cf65-475b-b5ef-59a88ea4c1e7 · outbound

This paper cites Nature review s Disease primers 7(1), 33 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Nature review s Disease primers 7(1), 33 (2021)

Reference 1

Resolution
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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 68b60451-60bb-4ef0-9f7c-4840522775ee · outbound

This paper cites : Mild cognitive impairment (mci) in medical practice: a critical review of the concept and new diagnostic procedure.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Mild cognitive impairment (mci) in medical practice: a critical review of the concept and new diagnostic procedure

Reference 2

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 5f4ba9c1-ed90-4c05-a786-222e1339c79f · outbound

This paper cites Alzh eimer’s & dementia 14(4), 535–562 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzh eimer’s & dementia 14(4), 535–562 (2018)

Reference 3

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 a98e2bbb-0d66-4b7d-a447-bec9beaa06e3 · outbound

This paper cites CNS spectrums 24(1), 78–87 (2019).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning CNS spectrums 24(1), 78–87 (2019)

Reference 4

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 3dab7ab0-e91e-4328-9737-7777471dc9de · outbound

This paper cites : The heterogeneity of mild cognitive impairment: A neuropsychological analysis.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : The heterogeneity of mild cognitive impairment: A neuropsychological analysis

Reference 5

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 7e83e4fe-bbec-4941-b4a3-a9689624720a · outbound

This paper cites Alzheimer’s & Dementia 6(3), 239–246 (2010).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 6(3), 239–246 (2010)

Reference 6

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 7beefa60-b74c-4722-a073-c7c11defbc40 · outbound

This paper cites : Early versus late mci: Improved mci staging using a neuropsycholo gical approach.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Early versus late mci: Improved mci staging using a neuropsycholo gical approach

Reference 7

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=pdf_text observed=2026-08-05T16:42:45.887875Z digest=sha256:f303f9671290a68e684636f26150eedf36c9b3b6924e28faf592f5447ef33efa

Observation 9b92e149-5909-4d9c-9035-e36cc826a9fd · outbound

This paper cites : Mild cognitive impairment–beyond controversies, towards a consensus: repor t of the interna- tional working group on mild cognitive impairment.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Mild cognitive impairment–beyond controversies, towards a consensus: repor t of the interna- tional working group on mild cognitive impairment

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:51.239199Z

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=pdf_text observed=2026-08-05T16:42:45.894004Z digest=sha256:b16f6c36a76bbe78ec256a8d671c35f33fa74928332aa878d92a714fbad847bd

Observation d30ac455-1642-4999-a96a-9dbcdb8adfa3 · outbound

This paper cites Dementia and geriatric cognitive disorders 28(6), 541–549 (2010).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Dementia and geriatric cognitive disorders 28(6), 541–549 (2010)

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

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Observation bff1cbdd-7515-4959-a764-42092d9473a1 · outbound

This paper cites : Genetic data and cognitively defined late-onset alzheimer’s disease subgroups.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Genetic data and cognitively defined late-onset alzheimer’s disease subgroups

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 f292ea89-ff80-41b1-b46a-80e47f725970 · outbound

This paper cites an unresolved cited work.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Unresolved cited work

Reference 11

Resolution
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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 4e72f5b8-20a6-456f-b16f-7c6e5c12aa03 · outbound

This paper cites Alzheimer’s & Dementia 10(5), 511– 521 (2014).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 10(5), 511– 521 (2014)

Reference 12

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 c52a6638-efcc-4ee6-9281-3fb726735a98 · outbound

This paper cites Nature communications 15(1), 354 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Nature communications 15(1), 354 (2024)

Reference 13

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=pdf_text observed=2026-08-05T16:42:45.950945Z digest=sha256:6cfb267842cc36d4f1d43e4bdf5deaae2ed1a5c5d89c160bc470f441104161b5

Observation aeec614e-e3c7-4597-9674-5336212500f2 · outbound

This paper cites Brain 140(3), 735–747 (2017).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Brain 140(3), 735–747 (2017)

Reference 14

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=pdf_text observed=2026-08-05T16:42:45.958405Z digest=sha256:f65ef76d8b6aeefebd3ce27494f86edb0735ec4617f41389e1ca32a5865e8c43

Observation ee7c2452-1223-43bc-8b05-67cfec7f58fa · outbound

This paper cites : Two progression patterns in alzheimer’s disease identified from structural mri in a me mory clinic- based cohort.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Two progression patterns in alzheimer’s disease identified from structural mri in a me mory clinic- based cohort

Reference 15

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=pdf_text observed=2026-08-05T16:42:45.964354Z digest=sha256:f0b0214908df33751dc42a502f49e9df559b8fa75cb8439266de803447bd3e7b

Observation 33938fc0-a49b-48fc-8f32-92e103698412 · outbound

This paper cites : A general- izable data-driven model of atrophy heterogeneity and progress ion in a memory clinic setting.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : A general- izable data-driven model of atrophy heterogeneity and progress ion in a memory clinic setting

Reference 16

Resolution
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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=pdf_text observed=2026-08-05T16:42:45.970027Z digest=sha256:b515c4edb2f41db897519c62261cf2f106b92b85c28bd050c799821877f79fcb

Observation 009cd8a2-9591-40b1-878a-f5e6dbf97575 · outbound

This paper cites Alzheimer’s & Dementia 20(5), 3442–3454 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 20(5), 3442–3454 (2024)

Reference 17

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 dadd24e7-f631-4433-8669-a22b90e6fd02 · outbound

This paper cites : Fdg-pet markers of heterogeneity and different risk of progression in amnestic mci.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Fdg-pet markers of heterogeneity and different risk of progression in amnestic mci

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=pdf_text observed=2026-08-05T16:42:45.981642Z digest=sha256:c429c7390b858347788e81463013213fcdb7659e6e409e6e4343ba3235c9fc5d

Observation a2db5d2a-b8a7-47ad-a99b-a1346746425f · outbound

This paper cites Neurology 76(6), 511–517 (2011).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 76(6), 511–517 (2011)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:50.206792Z

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 b4a327ce-2cdd-428f-8490-5f619b176736 · outbound

This paper cites Neurology 80(11), 1048–1056 (2013).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 80(11), 1048–1056 (2013)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:50.104755Z

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=pdf_text observed=2026-08-05T16:42:46.007784Z digest=sha256:f646849d73ec30209dad9523d78f229f61149383e94a6589048b156d2e5e6de5

Observation dee3230c-08ff-4148-b11b-1c2fcf4cdec2 · outbound

This paper cites : A novel grading biomarker for the prediction of conversion from mild cognitive impairment to alzheimer’s disease.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : A novel grading biomarker for the prediction of conversion from mild cognitive impairment to alzheimer’s disease

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:50.024749Z

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=pdf_text observed=2026-08-05T16:42:46.013078Z digest=sha256:d6d2cabbcc2a4ae61b44fa3862f63d2e46adbc47b75a2b3f7fe1b335258b95da

Observation b8ab1225-56c2-4dd1-98dc-9bb3848d9626 · outbound

This paper cites Neurology 87(20), 2108–2116 (2016).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 87(20), 2108–2116 (2016)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.904753Z

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=pdf_text observed=2026-08-05T16:42:46.016519Z digest=sha256:01e3c443522c2effe5c62cb9f2dd532b71fc97abea734f5fe9b6b17ed156e080

Observation 84074c38-a729-4541-87f7-b1df2b1588a0 · outbound

This paper cites : Genetic heterogeneity of four mci/ad neuroanatomical dimensions discovered via deep learning.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Genetic heterogeneity of four mci/ad neuroanatomical dimensions discovered via deep learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.784905Z

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=pdf_text observed=2026-08-05T16:42:46.019973Z digest=sha256:3d22101f07bff4f8fcf54f1ea02d91be5d93192060136771a3b32009d1feea26

Observation 03b88f9f-e4fa-41d5-a701-9ffa4e4918e9 · outbound

This paper cites Archives of Gerontology a nd Geriatrics 94, 104376 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Archives of Gerontology a nd Geriatrics 94, 104376 (2021)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.714753Z

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 f4bc43e0-636e-4ad8-b23c-cb15ca76c653 · outbound

This paper cites Alzheimer’s & Dementia 19(4), 1428–1439 (2023).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 19(4), 1428–1439 (2023)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.584750Z

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=pdf_text observed=2026-08-05T16:42:46.027641Z digest=sha256:ac4c73cffbc47cb9938703b97beb9f4fd05889c42d65b04ada7eb94ea9ab6293

Observation cc2e732b-4747-42e7-9f6f-93db90e8f617 · outbound

This paper cites Sauver, J.L ., Mielke, M.M., Geda, Y.E., Machulda, M.M., Knopman, D.S., Petersen, R.C., et al.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Sauver, J.L ., Mielke, M.M., Geda, Y.E., Machulda, M.M., Knopman, D.S., Petersen, R.C., et al

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.449982Z

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=pdf_text observed=2026-08-05T16:42:46.031168Z digest=sha256:b4db5a3cc766061d02e0217b111a6ba8e995d7a36721c2d8212b1fa41ee4a391

Observation 89999e91-8c3e-45ea-b369-7e6bb60076df · outbound

This paper cites : Atrophy patterns in early clinical stages across distinct phenoty pes of a lzheimer’s disease.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Atrophy patterns in early clinical stages across distinct phenoty pes of a lzheimer’s disease

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.304747Z

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=pdf_text observed=2026-08-05T16:42:46.038066Z digest=sha256:ec59d0a25d7d82f2479c376f89ad851a4269c34ca1c4babd9bc5afe42cd4d8b1

Observation 8b6eec11-232e-4667-aeb1-c3d986549b7c · outbound

This paper cites Medical Clin ics 97(3), 485–494 (2013).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Medical Clin ics 97(3), 485–494 (2013)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.186764Z

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=pdf_text observed=2026-08-05T16:42:46.041952Z digest=sha256:8cd0e840e1605460b606c2931040baea256073e6f83517e4ac56ca36a159b378

Observation df9f2449-ddbc-4ad1-a1a2-32d0eb479382 · outbound

This paper cites Journal of Molecular Neuroscience 20, 203–206 (2003).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Journal of Molecular Neuroscience 20, 203–206 (2003)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:49.114747Z

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=pdf_text observed=2026-08-05T16:42:46.048851Z digest=sha256:56aad234f84188e0e61791a3a95ad5c13700c0c9e746a752da42aa6e0666fb4e

Observation 73491f5e-4022-4028-a991-3bfb9978b968 · outbound

This paper cites https://mathworld.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning https://mathworld

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.968647Z

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=pdf_text observed=2026-08-05T16:42:46.058679Z digest=sha256:b62f995e884768a6c51c55e4ff41a99659d51e2bb369eab60e2703500c5d7d2d

Observation 48fe51fe-8c17-4d40-aabd-bc8dbc9de59f · outbound

This paper cites Neuroimage 115, 117–137 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neuroimage 115, 117–137 (2015)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.835721Z

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=pdf_text observed=2026-08-05T16:42:46.063117Z digest=sha256:eb0582e6f6a4cd0f3daf0f7b7626d1dcd918aa7f6a5e358aeaa4c339e2c54e46

Observation 42f36517-d553-48fb-b170-64c7e60d0b3b · outbound

This paper cites Gigascience 4(1), 13742–015 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Gigascience 4(1), 13742–015 (2015)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.714743Z

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=pdf_text observed=2026-08-05T16:42:46.083314Z digest=sha256:cfecb3a54eff4d72e10aaa94f14b031987985bc507ca0c365f4cafa27ec522ff

Observation cba49bb4-709f-4edf-bea3-1aa5f79e90a8 · outbound

This paper cites PLoS computational biology 11(4), 1004219 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning PLoS computational biology 11(4), 1004219 (2015)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.604219Z

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=pdf_text observed=2026-08-05T16:42:46.088270Z digest=sha256:95e9d49ccefedd7c8ba5900ffaae468aa6fb26423c0dcc06c68a32bf02433560

Observation 7c4e776c-78b2-4707-b606-74090802e2bf · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.476502Z

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=pdf_text observed=2026-08-05T16:42:46.096787Z digest=sha256:455cfdab75774fa950d311644d1c183a7581c5e21bb7a0f08fd264007c803536

Observation 833acb98-fc3a-4f82-8280-bc7a357258d3 · outbound

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

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T16:42:46.115767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:42:46.115767Z digest=sha256:b69be9f3339e8cc9ae007393ac5aee7afc898c737f498db77e7137c871e226d5

Observation 77f1f98d-ab59-4a54-917c-f76784bd4a6e · outbound

This paper cites Cells 8(8), 826 (2019).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Cells 8(8), 826 (2019)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.421866Z

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=pdf_text observed=2026-08-05T16:42:46.123416Z digest=sha256:00882e09927cc6ae5dd2f72fca7a3d1371b69b55b6ab9e91985124c70089c5b4

Observation 6401125b-16ea-4214-a513-c09603eb8466 · outbound

This paper cites Biomedic ine & Pharmacotherapy 143, 112187 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Biomedic ine & Pharmacotherapy 143, 112187 (2021)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.384612Z

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=pdf_text observed=2026-08-05T16:42:46.131480Z digest=sha256:4bbf3d9ceacde20a6c03c56ec2405b07559951e1cc5df8484294df63327f9251

Observation d1dbb61a-e03a-4936-8c43-57b06f9e348d · outbound

This paper cites : Genetic analysis of vcp and wash complex genes in a german cohort of sporad ic als-ftd patients.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Genetic analysis of vcp and wash complex genes in a german cohort of sporad ic als-ftd patients

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.326099Z

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=pdf_text observed=2026-08-05T16:42:46.141526Z digest=sha256:3c54b64cf2b3aef83435b454c81d55d4c15e9bbc3d7611782930eb8acb7dcb4a

Observation 4963ae7d-69b0-4aab-85c5-0ccd13629643 · outbound

This paper cites : Heterozygous capza2 mutations cause global developmental delay, hypotonia with epilepsy: a case r eport and the literature review.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Heterozygous capza2 mutations cause global developmental delay, hypotonia with epilepsy: a case r eport and the literature review

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.255401Z

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=pdf_text observed=2026-08-05T16:42:46.145250Z digest=sha256:72862cd5f8f3717c7b3932c4c001b87b291e6877453f1707635c81e596174b4b

Observation 6965cb65-c904-42b5-8f9c-0490d080800b · outbound

This paper cites Movement disorders: official journal of the Movement Disorder So ciety 24(15), 2277–2281 (2009).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Movement disorders: official journal of the Movement Disorder So ciety 24(15), 2277–2281 (2009)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.189062Z

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=pdf_text observed=2026-08-05T16:42:46.157917Z digest=sha256:a0af61f8d6b8f648aa7589f3565f9bdcfbf6b7ff7e6e6ad735ea09c423a908e1

Observation 23350ba4-2304-49a4-9b9a-5849d2a39c3f · outbound

This paper cites Alzheimer ’s & Dementia 12, 1146–1146 (2016).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer ’s & Dementia 12, 1146–1146 (2016)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.156670Z

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=pdf_text observed=2026-08-05T16:42:46.162336Z digest=sha256:0b90445ad88d2dd204f2cec7f8ec43dee777bdce44e41011f2a7baaa76b6b0f4

Observation c7b430b9-2d81-4b0d-b332-175b36ab2406 · outbound

This paper cites Genes 15(1), 87 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Genes 15(1), 87 (2024)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.134749Z

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=pdf_text observed=2026-08-05T16:42:46.167887Z digest=sha256:a997fb6e8df820b8fc8eb7578694549a9c6e696db3fb43efd2d37ad6ba56586a

Observation 82e8ccef-2cfa-4cea-8be3-47a0d187ce92 · outbound

This paper cites Autophagy 11(7), 1063–1080 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Autophagy 11(7), 1063–1080 (2015)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.076968Z

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=pdf_text observed=2026-08-05T16:42:46.171854Z digest=sha256:5b0f0d217081cea321bf369c0ec1a51ab53ac1dc1d580c74e7d0d8ed54c58225

Observation 700c151c-44e8-485a-8409-9d461874a0ef · outbound

This paper cites Alzheimer’s & Dementia 14(11), 1460–1469 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 14(11), 1460–1469 (2018)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:48.002636Z

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=pdf_text observed=2026-08-05T16:42:46.180993Z digest=sha256:a73bf0383407d2060595738dd094e7ff6efc42076b79d6318b6aaaed4cb65e10

Observation 59a401c1-3da7-459e-b6d4-c6bf5808b68c · outbound

This paper cites : Csf biomarkers of alzheimer’s disease concord with amyloid- β pet and predict clinical progression: a study of fully automated immunoassays in biofinder and adni cohort s.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Csf biomarkers of alzheimer’s disease concord with amyloid- β pet and predict clinical progression: a study of fully automated immunoassays in biofinder and adni cohort s

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.958309Z

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=pdf_text observed=2026-08-05T16:42:46.195660Z digest=sha256:2f8190bb94aa9d6007cdbc3c37e9bdcc151706ab582e426ed6871a2017908844

Observation 66911663-a00c-4689-90d1-66213b698ff6 · outbound

This paper cites Alzheimer’s & Dementia 20(11), 8097–8112 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 20(11), 8097–8112 (2024)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.942558Z

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=pdf_text observed=2026-08-05T16:42:46.199875Z digest=sha256:7451b44f9ff76ba1d192d6cfa8d6b3d9093a3e5c14423f12d1d91862874e56ba

Observation 63d72901-ac8d-4884-bb1c-29cc04e75549 · outbound

This paper cites Alzheimer’s research & therapy 10, 1–10 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s research & therapy 10, 1–10 (2018)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.881154Z

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=pdf_text observed=2026-08-05T16:42:46.204514Z digest=sha256:eb6d279efc3834fca5b6c05597213336a8e1a033b65dbca129ec86d26f81a68e

Observation 024fe2b6-ba96-4bf5-8cfe-b90544c93c08 · outbound

This paper cites JAMA neurology 76(7), 791–799 (2019).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning JAMA neurology 76(7), 791–799 (2019)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.856976Z

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=pdf_text observed=2026-08-05T16:42:46.208733Z digest=sha256:cba2f46bec2a27cbc689c97d707e204893d13ec35ec9955e597f0e4e92155a4b

Observation e6092411-8dbe-4834-a279-2aed6173b9e1 · outbound

This paper cites : Diagnostic value of plasma phosphorylated tau181 in alzheimer’s disease and frontotem poral lobar degeneration.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Diagnostic value of plasma phosphorylated tau181 in alzheimer’s disease and frontotem poral lobar degeneration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.842023Z

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=pdf_text observed=2026-08-05T16:42:46.212222Z digest=sha256:7b0c12a2c332ecb0a859a9212ac997f4efafed2a2a6e2b0de01e8d6e51afc930

Observation 5d22dead-57e5-4f5c-b553-d1c24981041f · outbound

This paper cites Peptides 23(7), 1205–1214 (2002).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Peptides 23(7), 1205–1214 (2002)

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.809366Z

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=pdf_text observed=2026-08-05T16:42:46.218053Z digest=sha256:21625c6531762bb89f47bc086f098d5ecefa43adf486d33a1d69fdceacb6b62a

Observation 6330f193-b187-4e49-b7ac-266ae47a1a40 · outbound

This paper cites Current Alzheimer Research 11(3), 274–282 (2014).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Current Alzheimer Research 11(3), 274–282 (2014)

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.795446Z

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=pdf_text observed=2026-08-05T16:42:46.224450Z digest=sha256:9d93dce5c1cc06a8cebf3fe0244262631aa05d7ec998224d7848e2e770eac351

Observation fbb166c4-99dc-49d8-b376-932d1a8b56bc · outbound

This paper cites Cortex 48(4), 429–446 (2012).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Cortex 48(4), 429–446 (2012)

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.732158Z

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=pdf_text observed=2026-08-05T16:42:46.234145Z digest=sha256:1b47ac7ac03114b6855ccefed8d6e9f6d07e2d5bb7b657138d03eef369dbe89d

Observation f5ff3e03-c286-4810-b202-2abc4f2d88b4 · outbound

This paper cites Neurological Scie nces 45(3), 1017–1030 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurological Scie nces 45(3), 1017–1030 (2024)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.629797Z

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=pdf_text observed=2026-08-05T16:42:46.242167Z digest=sha256:7778987db58351302d3f7e3a1b387d14cac2f8b3b75bd77883f84fb3c5c82c9c

Observation 0d53e70c-74cf-4649-886f-c6a328618d52 · outbound

This paper cites Journal of advanced nursing 65(5), 922–933 (2009).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Journal of advanced nursing 65(5), 922–933 (2009)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.605589Z

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=pdf_text observed=2026-08-05T16:42:46.251927Z digest=sha256:bb183c0985b9705afd08a5fe9c3e237fc95e23e0956e7b0005bbddd15126a93d

Observation 628797dd-8565-47f8-8d35-0279b0bbd61f · outbound

This paper cites Dementia and Neurocognitive Disorders 19(3), 77 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Dementia and Neurocognitive Disorders 19(3), 77 (2020)

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.516975Z

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=pdf_text observed=2026-08-05T16:42:46.261576Z digest=sha256:b3eb4b70303c00726483ff878cc78917816b9830c56f70626b757b8b77e6e981

Observation aeed244c-ac02-47a2-918d-2a78cc0cf126 · outbound

This paper cites Neurology 70(4), 299–303 (2008).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 70(4), 299–303 (2008)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.494416Z

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=pdf_text observed=2026-08-05T16:42:46.269615Z digest=sha256:65caadc5f06f10e40ca1187b92690d9bfa51d54c588f4a51d0038c7b689930c3

Observation 29698e29-c61f-4d3e-9fac-b52e9659081d · outbound

This paper cites : A cytogenetic abnormality and rare coding variants identify abca13 as a candidate gene in schizophrenia, bipolar disorder, and depression.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : A cytogenetic abnormality and rare coding variants identify abca13 as a candidate gene in schizophrenia, bipolar disorder, and depression

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.393264Z

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=pdf_text observed=2026-08-05T16:42:46.273849Z digest=sha256:f2ee41d2f2b3007cce0e4c7d8040ec1d2e9988f96fa523057993ce80245489e0

Observation 97be716b-f3e7-4eda-a435-a6f21c6ef8b2 · outbound

This paper cites Schiz ophrenia bulletin 44(5), 958–965 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Schiz ophrenia bulletin 44(5), 958–965 (2018)

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.304912Z

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=pdf_text observed=2026-08-05T16:42:46.277710Z digest=sha256:cf2b1e41f18afccce5e5b9660cef9f65586bdea54d5e46a23fac9ca550c16bd7

Observation 9063be49-0785-4585-a26b-1208e51fd41f · outbound

This paper cites Neuroim- age 11(6), 805–821 (2000).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neuroim- age 11(6), 805–821 (2000)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.262176Z

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=pdf_text observed=2026-08-05T16:42:46.281467Z digest=sha256:9ad9fc37960c458c0b22494e8f9e1bd22b633224f6bfcbb514471db8bca6e5fa

Observation d0e45d50-49fa-49b1-908a-59ae4e0ddf21 · outbound

This paper cites Neuroimage 15(1), 273–289 (2002).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neuroimage 15(1), 273–289 (2002)

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.146595Z

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=pdf_text observed=2026-08-05T16:42:46.288295Z digest=sha256:fd52939351a2ae8e942bf18de7a56d9c5e02b5c0be50b585463bbf622c62aadf

Observation 9d8c3800-3256-46fc-9421-95e1b8b0f4b6 · outbound

This paper cites Nature neuroscience 24(9), 1313–1323 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Nature neuroscience 24(9), 1313–1323 (2021)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.104349Z

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=pdf_text observed=2026-08-05T16:42:46.295404Z digest=sha256:83c8e98d1c9679d7fea3846d28fb86ffb730516b66503ebecaadef42c0d06845

Observation 4e3b50ac-249f-4ff9-b4f4-ca0df70c60ff · outbound

This paper cites Science 369(6509), 1318–1330 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Science 369(6509), 1318–1330 (2020)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.063757Z

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=pdf_text observed=2026-08-05T16:42:46.307842Z digest=sha256:3325052e171d4fcda687dc312f5c3a30644f99d67c5520b330d7105ec7e07ade

Observation 9ec7c99b-002a-4e08-b349-bf4313c30b31 · outbound

This paper cites : Eye-gaze guided multi-modal alignment for medical representa- tion learning.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Eye-gaze guided multi-modal alignment for medical representa- tion learning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:47.013269Z

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=pdf_text observed=2026-08-05T16:42:46.314751Z digest=sha256:2ae0a3657ebfdff9ac406828002824bc7c5ee599b99f4c75250719150f83c00c

Observation ef97d63d-91fc-4a15-abc0-1290fc5beb18 · outbound

This paper cites IEEE Transactio ns on Medical Imaging 41(9), 2348–2359 (2022).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning IEEE Transactio ns on Medical Imaging 41(9), 2348–2359 (2022)

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.983704Z

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=pdf_text observed=2026-08-05T16:42:46.322209Z digest=sha256:bec9d107e460b6125fc36fa337581c97435463246af25c8be4a9b50d7632010e

Observation 7c95b2eb-13d7-4432-97f6-703fe7b6f7da · outbound

This paper cites In: 202 1 IEEE International Conference on Data Mining (ICDM), pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: 202 1 IEEE International Conference on Data Mining (ICDM), pp

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.951601Z

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=pdf_text observed=2026-08-05T16:42:46.327421Z digest=sha256:88d66cc1d505f56505572eea658462bc2e3e00a6868bc5979137f07e6a02e487

Observation 0479bed5-d4e4-4abc-a1f9-7662f60931d8 · outbound

This paper cites In: Proceedings of the IEEE I nternational Conference on Computer Vision, pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Proceedings of the IEEE I nternational Conference on Computer Vision, pp

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.929743Z

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=pdf_text observed=2026-08-05T16:42:46.334740Z digest=sha256:a7fc295883f3b50a12e9a73b86cf7376d4034e81c51ed0524316120eecb5918a

Observation 30c3c5a6-58fa-46c8-8a9f-375f41d23725 · outbound

This paper cites Molecular psychiatry 28(6), 2423–2432 (2023).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Molecular psychiatry 28(6), 2423–2432 (2023)

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.908304Z

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=pdf_text observed=2026-08-05T16:42:46.346432Z digest=sha256:856874381804330fbd45e56b5eccab04439b56780ed189e346ab4ab22f5b7543

Observation 2a38142b-e0dd-459b-88db-c400a462f104 · outbound

This paper cites Advances in neural information processing systems 33, 18661–18673 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Advances in neural information processing systems 33, 18661–18673 (2020)

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.885326Z

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=pdf_text observed=2026-08-05T16:42:46.356392Z digest=sha256:0889a04b5b897ad7ff7e05cbfa2a6040f9d5b2c874e76f70c7c339ad419f9ce1

Observation 29a6f7b3-4995-4108-95b6-b55f50fab06a · outbound

This paper cites In: Pr oceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Pr oceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.861903Z

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=pdf_text observed=2026-08-05T16:42:46.376556Z digest=sha256:54c56543281fa0e4181656930709099d59b84eba99ad6ab87751765065861b44

Observation b0b5c496-77d3-4836-98db-82940987a694 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern R ecognition, pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern R ecognition, pp

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.835611Z

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=pdf_text observed=2026-08-05T16:42:46.380154Z digest=sha256:d69f6ce17e235890b7bb6295451b47459587f880e1df6aaae4e020fc82af875d

Observation 429438ed-5981-4328-9434-877f406da383 · outbound

This paper cites Advances in neural information processing systems 37, 103031–103063 (2025).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Advances in neural information processing systems 37, 103031–103063 (2025)

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.815921Z

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=pdf_text observed=2026-08-05T16:42:46.383775Z digest=sha256:b4c959045cfb0250a930644e23740df8c3fc039fd8fa78e6f36993e33bcaa789

Observation 2fec81f7-fc61-4e98-9977-b82201104b67 · outbound

This paper cites IEEE transactions on medical imag ing 39(11), 3416–3428 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning IEEE transactions on medical imag ing 39(11), 3416–3428 (2020)

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.789751Z

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=pdf_text observed=2026-08-05T16:42:46.398134Z digest=sha256:7ac34b2b3be3f4025f160421fdf29ccc1f577d2a6ab663a2f64e9548e41d9752

Observation 65b5ef42-9433-42fd-a1a2-3fe69f6bd15d · outbound

This paper cites NeuroImage: Clinical 31, 102750 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning NeuroImage: Clinical 31, 102750 (2021)

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.756894Z

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=pdf_text observed=2026-08-05T16:42:46.410599Z digest=sha256:55b6088f620a9d5125a3d785a317baeedc4ba7ba1d68a923f7243866b45af1e5

Observation 01afecfc-8469-45aa-aaa1-53b2839c2774 · outbound

This paper cites Molecular neurodegeneration 6, 1–9 (2011).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Molecular neurodegeneration 6, 1–9 (2011)

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.733836Z

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=pdf_text observed=2026-08-05T16:42:46.441909Z digest=sha256:92504f07bf6f0bd4eb2fb1bb546e23729f115053fe8cae5c03d0ad9289d0a64a

Observation 501684ec-515e-4e9b-9240-1ff21b943988 · outbound

This paper cites Annals of n eurology 49(4), 433–442 (2001).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Annals of n eurology 49(4), 433–442 (2001)

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.691680Z

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=pdf_text observed=2026-08-05T16:42:46.475007Z digest=sha256:0ce20f5b6174834a25c5db5bd8a53960341981d66b10e0336a8703f59beb4f21

Observation a8fce053-0397-40c8-bb5e-0d5d1e86ed45 · outbound

This paper cites Archives of neurology 50(9), 949–954 (1993) 33.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Archives of neurology 50(9), 949–954 (1993) 33

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:42:46.656531Z

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=pdf_text observed=2026-08-05T16:42:46.490270Z digest=sha256:9decf0feae76d2fec601afd83fed919fdf9225b2460e6b3552848d1e0af3340c

Pith citing papers

No inbound Pith citation observations are available.