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Paper Citation Record · LEDGER

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.07091.

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

pith.paper-citation-record.v1
2607.07091 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T20:20:50.497447Z

measured 46 of 46 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 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

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43ba7646-7862-46c9-8feb-472011719f18 · outbound

This paper cites 2025 Alzheimer’s disease facts and figures,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis 2025 Alzheimer’s disease facts and figures,

Reference 1

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Observation c9776b3c-76b0-4ac2-b7a7-93c7f7de5bc1 · outbound

This paper cites Mild cognitive impairment: Clinical characterization and outcome.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Mild cognitive impairment: Clinical characterization and outcome

Reference 2

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Observation aaf10357-5658-4adc-8e3a-9e48694c13c7 · outbound

This paper cites The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association work- groups,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association work- groups,

Reference 3

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Observation 7d804094-76c8-4504-aa51-cdf185b0dafe · outbound

This paper cites Alzheimer’s disease neuroimaging initiative (ADNI): clinical characterization,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Alzheimer’s disease neuroimaging initiative (ADNI): clinical characterization,

Reference 4

Resolution
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Source-reported events for the cited work

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Observation e6ee28ca-d23b-4ad8-aa49-2cb7c6188ee3 · outbound

This paper cites Role of structural MRI in Alzheimer’s disease,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Role of structural MRI in Alzheimer’s disease,

Reference 5

Resolution
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Observation 673eb3eb-bd98-4214-87e4-d53606d46277 · outbound

This paper cites Alzheimer’s disease: Interaction of apolipoprotein E genotype, family history of dementia, gender, education, ethnicity, and age of onset,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Alzheimer’s disease: Interaction of apolipoprotein E genotype, family history of dementia, gender, education, ethnicity, and age of onset,

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 50e69489-4ee0-444f-bcb0-15c70f218e02 · outbound

This paper cites Patient subtyping via time-aware LSTM networks,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Patient subtyping via time-aware LSTM networks,

Reference 7

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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 03f3dfd5-6a96-4946-b8c0-823aad24e0b0 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Recurrent neural networks for multivariate time series with missing values

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 18e2cc0a-2155-4063-8f0d-eccf5a2d35c7 · outbound

This paper cites Latent ordinary differential equations for irregularly-sampled time series,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Latent ordinary differential equations for irregularly-sampled time series,

Reference 9

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Source-reported events for the cited work

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Observation 535b53f8-45d6-4676-81ab-22205dc56a99 · outbound

This paper cites Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups,

Reference 10

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Source-reported events for the cited work

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Observation 71319ab0-eb41-44b9-a636-704b9a0bd3f3 · outbound

This paper cites Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade,

Reference 11

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Source-reported events for the cited work

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Observation 0239147e-8b7d-4ba4-bc46-86fbaf6345dc · outbound

This paper cites Tracking patho- physiological processes in Alzheimer’s disease: An updated hypothetical model of dynamic biomarkers,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Tracking patho- physiological processes in Alzheimer’s disease: An updated hypothetical model of dynamic biomarkers,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation e1bbdd22-b95f-41c2-a82f-b3b6d7fd65b0 · outbound

This paper cites Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria,

Reference 13

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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 b832993f-28ea-4009-aedc-be5e47c6cde0 · outbound

This paper cites A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers,

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 6b7e7f97-c323-4b0b-a41e-fbb60216c875 · outbound

This paper cites Neuroimaging markers for the prediction and early diagnosis of Alzheimer’s disease dementia,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Neuroimaging markers for the prediction and early diagnosis of Alzheimer’s disease dementia,

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 49770d7a-704f-442d-9b3f-73cf6880edff · outbound

This paper cites MRI and cognitive scores complement each other to ac- curately predict Alzheimer’s dementia 2 to 7 years before clinical onset,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis MRI and cognitive scores complement each other to ac- curately predict Alzheimer’s dementia 2 to 7 years before clinical onset,

Reference 16

Resolution
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Source-reported events for the cited work

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Observation a3b14391-249f-4441-8b89-5199bb54c18c · outbound

This paper cites Multimodal classification of Alzheimer’s disease and mild cognitive impairment,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Multimodal classification of Alzheimer’s disease and mild cognitive impairment,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation ac9fb67a-3f1c-425d-ad44-33f004b3a6ff · outbound

This paper cites Multi-modal multi-task learning for joint pre- diction of multiple regression and classification variables in Alzheimer’s disease,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Multi-modal multi-task learning for joint pre- diction of multiple regression and classification variables in Alzheimer’s disease,

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 4281c2ca-9614-4315-b327-1bdb2ff22191 · outbound

This paper cites Deep learning-based feature representation for AD/MCI classification,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Deep learning-based feature representation for AD/MCI classification,

Reference 19

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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 174f0323-d0c0-409c-91bc-651a7b0978d1 · outbound

This paper cites Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis,

Reference 20

Resolution
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Source-reported events for the cited work

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Observation 5fb7e0d7-988f-4de8-ba25-114bd682836d · outbound

This paper cites Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer’s disease,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer’s disease,

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 6695842d-a85d-4cc1-ae36-ae2e09f48642 · outbound

This paper cites Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis,

Reference 22

Resolution
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Source-reported events for the cited work

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Observation b32d5947-5113-435f-a1ec-7b442eee54a7 · outbound

This paper cites Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment,

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 803aee86-e974-4688-a729-7a3a854f45e6 · outbound

This paper cites Identification of Alzheimer’s disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Identification of Alzheimer’s disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation a92cfd05-b738-45ae-ba77-33eb52dfd2d3 · outbound

This paper cites Automated classification of Alzheimer’s disease and mild cognitive impairment using a single MRI and deep neural networks,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Automated classification of Alzheimer’s disease and mild cognitive impairment using a single MRI and deep neural networks,

Reference 25

Resolution
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Source-reported events for the cited work

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Observation 6b58790c-c74c-4467-b964-9db39cd25812 · outbound

This paper cites Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification,

Reference 26

Resolution
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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 d52e0bee-648b-4c02-a269-957f0239c4d3 · outbound

This paper cites A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease,

Reference 27

Resolution
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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 210806c8-4f24-476d-a48c-b2d9de201df5 · outbound

This paper cites DiaMond: De- mentia diagnosis with multi-modal vision Transformers using MRI and PET,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis DiaMond: De- mentia diagnosis with multi-modal vision Transformers using MRI and PET,

Reference 28

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 c2f24487-e826-47b3-9d6f-9e8f8e928549 · outbound

This paper cites Multistage alignment and fusion for multimodal multiclass Alzheimer’s disease diagnosis,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Multistage alignment and fusion for multimodal multiclass Alzheimer’s disease diagnosis,

Reference 29

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 3b08bab9-9baa-405a-b484-1f988371a9c2 · outbound

This paper cites Alzheimer’s disease recognition based on adaptive graph normalization flow for incomplete multimodal data fusion,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Alzheimer’s disease recognition based on adaptive graph normalization flow for incomplete multimodal data fusion,

Reference 30

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 dd28c700-8a61-41e8-b3f6-0c571fbfe015 · outbound

This paper cites UniCross: Balanced multimodal learning for Alzheimer’s disease diagnosis by uni-modal separation and metadata-guided cross-modal interaction,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis UniCross: Balanced multimodal learning for Alzheimer’s disease diagnosis by uni-modal separation and metadata-guided cross-modal interaction,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.059476Z

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 7c8c7de8-9700-4f1e-b8e9-514d1c67ead4 · outbound

This paper cites A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer’s disease and its prodromal stages,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer’s disease and its prodromal stages,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.075551Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:9654e520fe28fdc861968217e2500af15c8464e52c24129eedf9f2352fcd6601

Observation 4166025e-bb63-4ecd-b604-34ba9d4d8688 · outbound

This paper cites Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.077431Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:e140c1b43999cd812f9d8133404e4cc4790d48d0302ef48ef7ba14a78f19a7dc

Observation 79cbab52-52d3-4be5-b24b-3e39629e926d · outbound

This paper cites A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.083284Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:69a646580dff44312258aff28e03cffb605001832462cc3c5f26cbf8e6fb6c42

Observation b07dba09-ae07-4b98-855b-8d03c672fa49 · outbound

This paper cites Predicting Alzheimer’s disease progression using deep recurrent neural networks,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Predicting Alzheimer’s disease progression using deep recurrent neural networks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.079222Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:9db8a076db73e3bbec4cb03eebb012eee093e86489a54018e6b97ad693e1fb03

Observation 707386d7-b66e-4bfc-9ed4-e6d4801cae14 · outbound

This paper cites Phased LSTM: Accelerating recur- rent network training for long or event-based sequences,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Phased LSTM: Accelerating recur- rent network training for long or event-based sequences,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.100848Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:42756897e5609f472dd82fd75e6e299d06853230eb435f2c5ee2b5b3297e64e9

Observation a078ab88-e39e-44db-b78c-c03b70d8c226 · outbound

This paper cites TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.110968Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:a46c4f295b92874e4a6b79a03df8ed97e031ec5b8c1d27dae23ce07be642308c

Observation 9e9f0e01-2797-4850-9bbf-917af161a5f2 · outbound

This paper cites BRITS: Bidirectional recurrent imputation for time series,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis BRITS: Bidirectional recurrent imputation for time series,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.071869Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:6d8f526289cca9f2cd0b1720d168d09d8e1fe725d06b0f9d1754854c4dd6275a

Observation 5a3b0879-c85c-48e6-bbf4-7ac7dd2b3f3b · outbound

This paper cites GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.073708Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:0f1cd9b19879e7d0dd6e7128bd31f65829045319e9091685484d4f5002410b5b

Observation e4092e67-a1e5-4239-9213-cafa5eb0b293 · outbound

This paper cites Neural controlled differential equations for irregular time series,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Neural controlled differential equations for irregular time series,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.089945Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:3fb451f004b536705f71f2e8852488004d9defa962c378b61b6ba7b9c9c1ca48

Observation d2c6fbcc-5206-430f-ad6f-4460903642a7 · outbound

This paper cites Multi-time attention networks for irregularly sampled time series,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Multi-time attention networks for irregularly sampled time series,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.099084Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:3e60c7f1cd91311295e4421aa47d289505f8f82c346207d148c6b80500732d9e

Observation 5362b1f1-cf8a-41d1-bed8-2392feb7a436 · outbound

This paper cites Multimodal machine learning: A survey and taxonomy,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Multimodal machine learning: A survey and taxonomy,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.063394Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:09f96788bc09cde5f53a4475390467681d9f5c734c332fce7301c12f045eda1d

Observation c8ae3b52-c564-4ea2-8120-2fbd3367c290 · outbound

This paper cites A survey on deep multimodal learning for computer vision: Advances, trends, applications, and datasets,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis A survey on deep multimodal learning for computer vision: Advances, trends, applications, and datasets,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.069736Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:12db60127ae17402f42ef4c9b0b25f1ef6307fbc63fcf47da0e762e51f189fb3

Observation 0d80acdf-90fa-4080-a531-13a7b91ec166 · outbound

This paper cites What makes training multi- modal classification networks hard?.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis What makes training multi- modal classification networks hard?

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.061527Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:927bd8046b66ab5b1ab4ab26fa5802ac73fd4c703a50fa7ecdbc79df3d9e3cf9

Observation 7cc8175e-aa20-4b66-90cf-60b4ef227514 · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation,.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Balanced multimodal learning via on-the-fly gradient modulation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T20:26:30.067402Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:6f9a07356a2eee8fd31c75720607f4521305b0236b180c3f9711ce16590a4fed

Observation 6e99acd0-811c-4583-99d7-935d1d0a42e5 · outbound

This paper cites Med3D: Transfer Learning for 3D Medical Image Analysis.

AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis Med3D: Transfer Learning for 3D Medical Image Analysis

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-09T20:26:29.763656Z

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=pdf_text observed=2026-07-09T20:20:50.497447Z digest=sha256:57ea786c506feb271576aaa89882718462e4605b6b92bbdb0ec17811f34a20b4

Pith citing papers

No inbound Pith citation observations are available.