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Paper Citation Record · LEDGER

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI

As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2607.10988.

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

pith.paper-citation-record.v1
2607.10988 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T07:50:26.363180Z

measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T07:50:26.363180Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation fdbd0878-6848-4b0f-af25-324ef0c9b880 · outbound

This paper cites MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI

Reference 1

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Observation 889901d9-9550-4c94-a85f-646c8fc9076c · outbound

This paper cites an unresolved cited work.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Unresolved cited work

Reference 2

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Observation 2bec0d66-f57a-49e1-b2d8-1ffce8068348 · outbound

This paper cites Experimental Setup All experiments were performed on NVIDIA A100 GPUs.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Experimental Setup All experiments were performed on NVIDIA A100 GPUs

Reference 3

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Observation 3c932999-fa86-45dc-818a-f4c725289750 · outbound

This paper cites The effectiveness of the approach is strongly supported by the necessity of input localization.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI The effectiveness of the approach is strongly supported by the necessity of input localization

Reference 4

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Observation a75e8d1f-a8b6-481a-883f-f44fc7606d51 · outbound

This paper cites 2020-0-01305).

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI 2020-0-01305)

Reference 5

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Observation 11a8d1e1-1012-4166-b212-21e1d351fbb1 · outbound

This paper cites Perineural invasion con- fers poorer clinical outcomes in patients with t1/t2 intrahep- atic cholangiocarcinoma: a single center, retrospective cohort study,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Perineural invasion con- fers poorer clinical outcomes in patients with t1/t2 intrahep- atic cholangiocarcinoma: a single center, retrospective cohort study,

Reference 6

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Observation fc6bf458-a8cb-49e5-aaf2-e3540660636c · outbound

This paper cites Zhang, Y.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Zhang, Y

Reference 7

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Observation 8b751c0f-12f1-47eb-bfc4-ea4807731dcb · outbound

This paper cites an unresolved cited work.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Unresolved cited work

Reference 8

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Observation 448f9cce-8009-447d-830d-a523700028ad · outbound

This paper cites Perineural tumour spread in head and neck cancer: a picto- rial review,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Perineural tumour spread in head and neck cancer: a picto- rial review,

Reference 9

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Observation cef12265-13f1-40bc-a4b8-9466be524a5c · outbound

This paper cites An mri-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI An mri-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma,

Reference 10

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Observation 34749e92-1883-4d16-89c8-f71f297379bb · outbound

This paper cites Ct-based ra- diomics analysis for noninvasive prediction of perineural inva- sion of perihilar cholangiocarcinoma,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Ct-based ra- diomics analysis for noninvasive prediction of perineural inva- sion of perihilar cholangiocarcinoma,

Reference 11

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Observation f365203c-56a6-4d45-90d8-6dd58df58543 · outbound

This paper cites Feasibility of magnetic resonance imaging-based ra- diomics features for preoperative prediction of extrahepatic cholangiocarcinoma stage,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Feasibility of magnetic resonance imaging-based ra- diomics features for preoperative prediction of extrahepatic cholangiocarcinoma stage,

Reference 12

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Observation ce30cf73-f604-406b-bd59-0bf82b54a049 · outbound

This paper cites Deep residual learning for image recognition,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Deep residual learning for image recognition,

Reference 13

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Observation 74a00c9a-2645-450f-9407-b26166608af6 · outbound

This paper cites Densely connected convolutional networks,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Densely connected convolutional networks,

Reference 14

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Observation d2c26415-c70c-4f96-b3cc-76934cb73d8c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Observation 1e0f6e6a-f717-41ae-ad47-3bf9772ff748 · outbound

This paper cites Attention is all you need,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Attention is all you need,

Reference 16

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Observation 46f5d5bd-b796-47f8-bdab-fc373b839ca5 · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Unetr: Transformers for 3d medical image segmentation,

Reference 17

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Observation 6e061e62-ffd3-4caf-ad68-1e5a3b2d4778 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 18

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Observation 748fc3fc-75ca-41bd-a723-2d59d29dc26e · outbound

This paper cites Multiscale vision transformers,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Multiscale vision transformers,

Reference 19

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Observation 7739f1df-aa06-447c-8f3d-c850ad63b4d3 · outbound

This paper cites Focal Self-attention for Local-Global Interactions in Vision Transformers.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Focal Self-attention for Local-Global Interactions in Vision Transformers

Reference 20

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Observation 7d83baca-928a-4573-826e-db0692a9f44a · outbound

This paper cites Moh: Multi- head attention as mixture-of-head attention,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Moh: Multi- head attention as mixture-of-head attention,

Reference 21

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Observation 968064b7-a989-4d6f-88c6-70ebaedb65dc · outbound

This paper cites Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned,

Reference 22

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Observation 923b6cf9-08ac-4fe3-a78d-a9d0085c01d1 · outbound

This paper cites Are sixteen heads really better than one?.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Are sixteen heads really better than one?

Reference 23

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Observation 44e218c5-4e49-434c-8134-284748eedc1c · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 24

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Observation 38c1b7cc-2bab-436b-82c3-d35a10423404 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 25

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Observation 09f53171-cee4-4efc-b2b5-de35cae7162b · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 26

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Observation 3532d91c-7575-40b4-a046-e8de9f88a8a3 · outbound

This paper cites Decoupled Weight Decay Regularization.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Decoupled Weight Decay Regularization

Reference 27

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Observation 60a0aaa1-1fca-421f-8b28-231efa10f888 · outbound

This paper cites Grad-cam: Visual explanations from deep net- works via gradient-based localization,.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI Grad-cam: Visual explanations from deep net- works via gradient-based localization,

Reference 28

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Pith citing papers

Observation fdbd0878-6848-4b0f-af25-324ef0c9b880 · inbound

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI cites this paper.

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI

Reference 1

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