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Paper Citation Record · LEDGER

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2501.11276.

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

pith.paper-citation-record.v1
2501.11276 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:29:43.350934Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:29:43.259127Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:15:31.655182Z

Reference resolution

20 of 20 outbound references displayed

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  • verified fuzzy14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11021e93-ce64-4d0c-834c-5e2cfc880156 · outbound

This paper cites ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86fd1d91-409c-494b-b270-93be7a82bf49 · outbound

This paper cites Missing Modal Generation Module For subjects where the PET modality is missing, we introduce the MMG module to derive PET images from MRI through cross-modal transformation.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Missing Modal Generation Module For subjects where the PET modality is missing, we introduce the MMG module to derive PET images from MRI through cross-modal transformation

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3c10bf66-78c4-44fc-afbb-9a6a9f6468ce · outbound

This paper cites Experimental Setup Dataset.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Experimental Setup Dataset

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b324800c-abfc-4a8f-b11e-591af1d75977 · outbound

This paper cites The ITCFN method combines MRI, PET, and clinical features, effectively manag- ing missing PET data through the MMG module and achiev- ing modality fusion via the TCAF module.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction The ITCFN method combines MRI, PET, and clinical features, effectively manag- ing missing PET data through the MMG module and achiev- ing modality fusion via the TCAF module

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8a4715e3-e17b-4187-8f41-76e8d151c251 · outbound

This paper cites The license accompanying this open-access data confirms that no ethical approval is required.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction The license accompanying this open-access data confirms that no ethical approval is required

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e5f01f9e-0196-49af-a5a2-c8f96bf276e1 · outbound

This paper cites LGKCYLWS2023018).

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction LGKCYLWS2023018)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 353b8eeb-99c6-43cc-a777-dcd59327cfb7 · outbound

This paper cites Alzheimer’s disease diag- nosis from single and multimodal data using machine and deep learning models: Achievements and future di- rections,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Alzheimer’s disease diag- nosis from single and multimodal data using machine and deep learning models: Achievements and future di- rections,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 16ce71b6-f7cf-4ef9-8ce2-18eeb86d909e · outbound

This paper cites Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ac077b5b-400e-4bf5-b29d-598bc49aa336 · outbound

This paper cites Deep residual learning for image recognition,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Deep residual learning for image recognition,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec6cf8d2-2f57-48ad-9929-ecc13de69759 · outbound

This paper cites Hope: Hybrid- granularity ordinal prototype learning for progression prediction of mild cognitive impairment,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Hope: Hybrid- granularity ordinal prototype learning for progression prediction of mild cognitive impairment,

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 32924609-00fd-428b-acf2-1274a5484994 · outbound

This paper cites Diagnosis of brain diseases in fusion of neuroimaging modalities us- ing deep learning: A review,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Diagnosis of brain diseases in fusion of neuroimaging modalities us- ing deep learning: A review,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6b790d29-0174-42cf-8a0d-011c1167da20 · outbound

This paper cites GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 47c2d524-6572-4871-bb25-340339f1378d · outbound

This paper cites Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach

Reference 13

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verified exact
local_arxiv, observed 2026-08-10T18:29:43.393366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d49af109-d80f-4eb4-bb36-a192676a30c9 · outbound

This paper cites Assessing clinical progres- sion from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Assessing clinical progres- sion from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages,

Reference 14

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raw_fallback, observed 2026-08-10T18:29:43.528683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation eeaff60e-f341-4c05-bbbf-676087de1d45 · outbound

This paper cites Visual-attribute prompt learning for progressive mild cognitive impairment prediction,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Visual-attribute prompt learning for progressive mild cognitive impairment prediction,

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 2026-08-22T06:32:14.747728+00:00.

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Observation 5bed0b0b-b1cc-4df5-8aed-9f15da62bc99 · outbound

This paper cites Ways toward an early diagnosis in alzheimer’s disease: the alzheimer’s disease neuroimaging initiative (adni),.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Ways toward an early diagnosis in alzheimer’s disease: the alzheimer’s disease neuroimaging initiative (adni),

Reference 16

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raw_fallback, observed 2026-08-10T18:29:43.498521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8d267395-f2ea-4cc4-b62d-8e128309c411 · outbound

This paper cites Morphology-preserving autoregres- sive 3d generative modelling of the brain,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Morphology-preserving autoregres- sive 3d generative modelling of the brain,

Reference 17

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raw_fallback, observed 2026-08-10T18:29:43.482682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cc1843dc-ab6d-4e41-aa38-531305ed7f63 · outbound

This paper cites Per- ceptual losses for real-time style transfer and super- resolution,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Per- ceptual losses for real-time style transfer and super- resolution,

Reference 18

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unresolved
no resolver link, observed 2026-08-10T18:29:43.341924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation addb332d-5adb-4516-913d-3e310d01bb06 · outbound

This paper cites High-resolution image synthesis and semantic manipulation with condi- tional gans,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction High-resolution image synthesis and semantic manipulation with condi- tional gans,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:29:43.457167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bdb34252-436e-44ab-8037-c2bcaf709f33 · outbound

This paper cites Hf- bsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction,.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction Hf- bsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction,

Reference 20

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no resolver link, observed 2026-08-10T18:29:43.350934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 11021e93-ce64-4d0c-834c-5e2cfc880156 · inbound

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction cites this paper.

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Reference 1

Resolution
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no resolver link, observed 2026-08-10T18:29:43.259127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:29:43.259127Z digest=sha256:3a2f813c071df0d03f875a941f156f10203d64d82897c1c90c66db741cbecf83

Observation a103bfb7-b089-4812-a4b3-073825477751 · inbound

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease cites this paper.

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:15:31.658945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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