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Paper Citation Record · LEDGER

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2504.18046.

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

pith.paper-citation-record.v1
2504.18046 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

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measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T00:59:09.169900Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 3e788318-bd32-4c59-be7f-08de8fa1dd37 · outbound

This paper cites an unresolved cited work.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Unresolved cited work

Reference 1

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Observation bed35d43-ede9-4a41-8dc2-91f973e6fcde · outbound

This paper cites Global prevalence and major risk factors of diabetic retinopathy,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Global prevalence and major risk factors of diabetic retinopathy,

Reference 2

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Observation c88764ee-9268-42c6-8655-b1e15b2d34cb · outbound

This paper cites Pivotal trial of an autonomous ai-based diagnostic system for detection of diabetic retinopathy in primary care offices,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Pivotal trial of an autonomous ai-based diagnostic system for detection of diabetic retinopathy in primary care offices,

Reference 3

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Observation 37997e0b-e6dc-4126-87a1-51115ba27de4 · outbound

This paper cites Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes,

Reference 4

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Observation c1d8e496-d8e9-46a3-ac90-45050871b5dd · outbound

This paper cites Multi-modal deep learning and its applications in oph- thalmic artificial intelligence,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Multi-modal deep learning and its applications in oph- thalmic artificial intelligence,

Reference 5

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Observation 017ecc0e-6d61-4171-9f22-155ef92788c6 · outbound

This paper cites Multi-modal deep learning and its applications in ophthalmic artificial intelligence,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Multi-modal deep learning and its applications in ophthalmic artificial intelligence,

Reference 6

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Observation 9a076ce9-96e1-4fcd-bb8f-2c84cb87c381 · outbound

This paper cites Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis,

Reference 7

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Observation dc2c6463-a918-40e5-a2d7-f70e36f4e1cc · outbound

This paper cites A machine learning approach to medical image classification: Detecting age-related macular degeneration in fundus images,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification A machine learning approach to medical image classification: Detecting age-related macular degeneration in fundus images,

Reference 8

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Observation 7136130b-62b9-45a9-8171-c007bf642318 · outbound

This paper cites A lightweight cnn for diabetic retinopathy classification from fundus images,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification A lightweight cnn for diabetic retinopathy classification from fundus images,

Reference 9

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Observation 6883ebfa-8b52-40c6-a2ff-a97ae59d483d · outbound

This paper cites Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy,

Reference 10

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Observation 01b71f2b-a252-4331-a38c-10b1aaac5bb9 · outbound

This paper cites Multi-label classification of fundus images with efficientnet,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Multi-label classification of fundus images with efficientnet,

Reference 11

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Observation 3eb417a4-560c-4927-81d9-3b57dfac6109 · outbound

This paper cites A deep neural network and machine learning approach for retinal fundus image classification,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification A deep neural network and machine learning approach for retinal fundus image classification,

Reference 12

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Observation a9f70de2-9238-44fa-a00c-b5b811c473c9 · outbound

This paper cites Fundus disease image classification based on improved transformer,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Fundus disease image classification based on improved transformer,

Reference 13

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Observation e06f3443-1b63-460b-87b5-abc7e3e1b7ec · outbound

This paper cites Mil-vt: Multiple instance learning enhanced vision trans- former for fundus image classification,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Mil-vt: Multiple instance learning enhanced vision trans- former for fundus image classification,

Reference 14

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Observation c6b93341-c040-46f9-bf34-f0f04c8c53d3 · outbound

This paper cites Signature verification using a siamese time delay neural network,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Signature verification using a siamese time delay neural network,

Reference 15

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Observation 66e4f13d-c4da-45ff-8d7a-bc6e81843a32 · outbound

This paper cites Plant leaves classification: A few-shot learning method based on siamese network,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Plant leaves classification: A few-shot learning method based on siamese network,

Reference 16

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Observation f3165fdf-8896-4dac-bedb-0658fd107dbe · outbound

This paper cites Primary open-angle glaucoma diagnosis from optic disc photographs using a siamese network,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Primary open-angle glaucoma diagnosis from optic disc photographs using a siamese network,

Reference 17

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Observation bd9e6af1-f823-4bad-b7b5-b69d08719b69 · outbound

This paper cites Automated diabetic retinopathy detection based on binocular siamese-like convolutional neural network,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Automated diabetic retinopathy detection based on binocular siamese-like convolutional neural network,

Reference 18

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Observation 3376ce3f-4398-4c84-a695-dd3a83814f21 · outbound

This paper cites Siamese network based fine grained classification for diabetic retinopathy grading,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Siamese network based fine grained classification for diabetic retinopathy grading,

Reference 19

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Observation a4de2af1-44d8-43b7-9214-617be3b0d625 · outbound

This paper cites An advanced deep learning method to detect and classify diabetic retinopathy based on color fundus images,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification An advanced deep learning method to detect and classify diabetic retinopathy based on color fundus images,

Reference 20

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Observation fc6540b2-5a67-49fe-b18d-8e9f8123c5e8 · outbound

This paper cites Adaptive Multiscale Retinal Diagnosis: A Hybrid Trio-Model Approach for Comprehensive Fundus Multi-Disease Detection Leveraging Transfer Learning and Siamese Networks.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Adaptive Multiscale Retinal Diagnosis: A Hybrid Trio-Model Approach for Comprehensive Fundus Multi-Disease Detection Leveraging Transfer Learning and Siamese Networks

Reference 21

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Observation 4f045db5-b8c7-45ec-bff1-b2afbee07bf8 · outbound

This paper cites Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention,

Reference 22

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Observation 03746d07-f632-4872-ae7a-ecc3c48bd66c · outbound

This paper cites Cross-image siamese graph convolutional network for fine-grained image retrieval in diabetic retinopathy,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Cross-image siamese graph convolutional network for fine-grained image retrieval in diabetic retinopathy,

Reference 23

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Observation 588498aa-2434-47e6-802e-ec24067b5419 · outbound

This paper cites Effective diabetic retinopathy classification with siamese neural network: A strategy for small dataset challenges,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Effective diabetic retinopathy classification with siamese neural network: A strategy for small dataset challenges,

Reference 24

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This paper cites Madanan, S.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Madanan, S

Reference 25

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DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Unresolved cited work

Reference 26

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Observation 6fde839a-c0b6-4bf6-8ed8-edf42de20310 · outbound

This paper cites An automatic drug injection device with spatial micro-force perception guided by an microscopic image for robot-assisted ophthalmic surgery,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification An automatic drug injection device with spatial micro-force perception guided by an microscopic image for robot-assisted ophthalmic surgery,

Reference 27

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Observation 8e7641a8-6b5b-45e1-9d10-ade05a064fba · outbound

This paper cites Robotic process automation support in telemedicine: Glaucoma screening usage case,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Robotic process automation support in telemedicine: Glaucoma screening usage case,

Reference 28

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Observation c35c2165-2c21-4b18-ae21-bd40213b41e9 · outbound

This paper cites New directions for ophthalmic oct – handhelds, surgery, and robotics,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification New directions for ophthalmic oct – handhelds, surgery, and robotics,

Reference 29

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Observation 3e219b9f-c6bd-4f18-b199-ffcc4fc07e53 · outbound

This paper cites Evaluating the accuracy of the ophthalmologist robot for multiple blindness-causing eye diseases: a multicentre, prospective study protocol,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Evaluating the accuracy of the ophthalmologist robot for multiple blindness-causing eye diseases: a multicentre, prospective study protocol,

Reference 30

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Observation 079e103d-572f-42c1-9a96-9f6c58bee054 · outbound

This paper cites Active motion cancellation for robotic optical coherence tomography of moving eyes: A nystagmus phantom study,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Active motion cancellation for robotic optical coherence tomography of moving eyes: A nystagmus phantom study,

Reference 31

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Observation 059bffae-5b37-49fe-813e-ca8648075790 · outbound

This paper cites Robotic optical coherence tomography of human subjects with posture-invariant head and eye alignment in six degrees of freedom,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Robotic optical coherence tomography of human subjects with posture-invariant head and eye alignment in six degrees of freedom,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:49.366853Z digest=sha256:2f02466d586822c08f0cb004a38e4c94edf28a6900653958ead655d275cc36c2

Observation 159f021f-e6c2-4663-8085-7175ad45d404 · outbound

This paper cites Mobile robotic optical coherence tomography system for ophthalmic imaging in clinical environments,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Mobile robotic optical coherence tomography system for ophthalmic imaging in clinical environments,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:49.653172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:49.370660Z digest=sha256:f3d4bff3077f643cb7d3791860da350b0162ddc2db285292ed596e507c5df1ca

Observation 72fb8d0d-f593-4293-97c4-7dbcfb9edf78 · outbound

This paper cites Odir-5k,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Odir-5k,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:49.639940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:49.374662Z digest=sha256:1a5b22f05f3c2ce0c6830d9cf51513c961abd6a4af7e25de834c3daf178e2163

Observation 127c9992-ddee-4555-bca3-2ae508b0ebd6 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:49.626854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:49.379478Z digest=sha256:fff9cf4cf64877cc9c95dac00adca2dce32d1e993d8717d0553a68671f9deae5

Observation 06562e01-0a62-4426-8c0f-188f43a06579 · outbound

This paper cites What is YOLOv5: A deep look into the internal features of the popular object detector.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification What is YOLOv5: A deep look into the internal features of the popular object detector

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:49.384151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:49.384151Z digest=sha256:d335d1d59ca5e3eebf09ec8e9093474c7e37f8e3ee26d9c8a91c438fd79aacec

Observation 59f3e736-8b11-4639-988d-49d0e35e4941 · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Spatial pyramid pooling in deep convolutional networks for visual recognition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:49.614727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:49.388334Z digest=sha256:d38725f6c6cd2565bf47b14f1a668a3b9b1ffd0e9dcffe7f54428145f69a9710

Observation 57422f9b-cbf0-4ee7-af66-cd667a800587 · outbound

This paper cites Receptive field block net for accurate and fast object detection,.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification Receptive field block net for accurate and fast object detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:28:49.602229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T10:28:49.392659Z digest=sha256:34f024009b01d8ea17fa05cd097833472eecd290667d371b3bf35057a2a72e6f

Observation 38b51e04-2766-4038-b41e-61977febd67a · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:49.396342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:49.396342Z digest=sha256:c1cc781983f27f36bd56b3ce1d2916899e71413d6065ed9e7c11b23234c93156

Pith citing papers

Observation c490e6dc-357f-41e6-8ee0-42e8c4832559 · inbound

Model Confidence-Guided Multi-Image Fusion of Fundus Images for Diabetic Retinopathy Diagnosis cites this paper.

Model Confidence-Guided Multi-Image Fusion of Fundus Images for Diabetic Retinopathy Diagnosis DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T00:59:09.169900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:59:09.169900Z digest=sha256:50331db413cc663b2430040797103a3074de23339c8bf9f5ed97a27b793e5da5