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Paper Citation Record · LEDGER

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion

As of 13 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2411.11799.

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

pith.paper-citation-record.v1
2411.11799 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:13:37.788566Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

14 of 14 outbound references displayed

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  • verified fuzzy3
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 169c9e04-f374-4910-9a4a-39df2f7c80ce · outbound

This paper cites Furthermore, compared to the FL1N method (Li et al., 2022), our approach produced brighter and more defined edges, thereby improving the contrast between edges and tissues.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Furthermore, compared to the FL1N method (Li et al., 2022), our approach produced brighter and more defined edges, thereby improving the contrast between edges and tissues

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T18:13:38.257221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f2c0de65-818e-4550-b546-1b0017cf4d1a · outbound

This paper cites Weisheng Li, Xiuxiu Peng, Jun Fu, Guofen Wang, Yuping Huang, and Feifei Chao.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Weisheng Li, Xiuxiu Peng, Jun Fu, Guofen Wang, Yuping Huang, and Feifei Chao

Reference 8

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no resolver link, observed 2026-08-12T18:13:37.504642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bd59dad8-de0d-4f06-a075-075de554f5b0 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats).

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion The multimodal brain tumor image segmentation benchmark (brats)

Reference 10

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no resolver link, observed 2026-08-12T18:13:37.629103Z

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Observation 8bdd3e62-474a-4b1e-ade8-630f37ca0c24 · outbound

This paper cites FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model

Reference 11

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no resolver link, observed 2026-08-12T18:13:37.719198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 50e1de49-5bbf-4551-9117-ebb773ddb97b · outbound

This paper cites Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, and Zitong Yu.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, and Zitong Yu

Reference 13

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no resolver link, observed 2026-08-12T18:13:37.781898Z

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Unavailable: canonical work link unavailable.

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Observation 47b17ade-d91d-4ca9-9e0c-34c7a37587fe · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Adam: A Method for Stochastic Optimization

Reference 1988

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no resolver link, observed 2026-08-12T18:13:37.482962Z

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Unavailable: canonical work link unavailable.

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Observation 2a052e10-a4a1-4587-8f7d-98e1afe465f8 · outbound

This paper cites Zero-learning fast medical image fusion.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Zero-learning fast medical image fusion

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:13:38.414962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T18:13:37.489794Z digest=sha256:afb57a1f71a00c40d2552f969d76a352357ec3eadc4a62c0318ef5dfeb644128

Observation e530573f-6512-4dfb-9f49-377894c07e43 · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 2017

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no resolver link, observed 2026-08-12T18:13:37.404360Z

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Observation 2a28d43d-f9e6-4294-8d76-a93b99a3f969 · outbound

This paper cites Pyramid Attention Network for Semantic Segmentation.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Pyramid Attention Network for Semantic Segmentation

Reference 2019

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unresolved
no resolver link, observed 2026-08-12T18:13:37.495933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6219dc65-cd62-411c-b768-54c308c76fce · outbound

This paper cites Enhancing underwater imagery using gener- ative adversarial networks.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Enhancing underwater imagery using gener- ative adversarial networks

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:13:38.518933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ae09d455-17ac-431e-aa83-a13a7d3fa600 · outbound

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

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2021

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no resolver link, observed 2026-08-12T18:13:37.475947Z

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Unavailable: canonical work link unavailable.

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Observation 1e54e253-824e-4ac3-a9c6-f29433ff1888 · outbound

This paper cites MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

Reference 2022

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no resolver link, observed 2026-08-12T18:13:37.553926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:13:37.553926Z digest=sha256:8f3a2d42f3b40da1b972262d31e6d2d081c2b542be567fe596f4ac1cdb9785a8

Observation 3ab2669c-7634-41af-bcc8-71b9e20aeb9c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2023

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b1b9eb2-ac1c-4004-b627-6c7b865eab35 · outbound

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

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2024

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unresolved
no resolver link, observed 2026-08-12T18:13:37.463904Z

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.