Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:25:20.882992Z
Paper Citation Record · LEDGER
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis
As of 18 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2506.10669.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
66 of 66 outbound references displayed
- verified exact1
- verified fuzzy47
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f734de23-a2c2-4c48-93d0-27f5f9171264 · outbound
This paper cites Quantifying Attention Flow in Transformers.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Quantifying Attention Flow in Transformers
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:14.764223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7399d2f7-da7d-453b-8a03-243d692ebac7 · outbound
This paper cites bioRxiv,pages2023– 03, 2023.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis bioRxiv,pages2023– 03, 2023
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.666865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6207158a-c181-4314-8642-fe7fb8d1b1d3 · outbound
This paper cites Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.657062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eca72577-d50e-4705-a78a-7c59c5e796a6 · outbound
This paper cites Deeplearning predicts hip fracture using confounding patient and healthcare vari- ables.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Deeplearning predicts hip fracture using confounding patient and healthcare vari- ables
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.647619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1da9f070-701d-4a35-b2a7-71705287b871 · outbound
This paper cites A case-based interpretable deep learning model for classification of mass lesions in digital mammography.Nature Machine Intelligence, 3(12):1061– 1070, 2021.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis A case-based interpretable deep learning model for classification of mass lesions in digital mammography.Nature Machine Intelligence, 3(12):1061– 1070, 2021
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.635031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9d2a4aab-dfdb-43ff-940c-0ad39c817e4b · outbound
This paper cites Flexivit: One model for all patch sizes.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Flexivit: One model for all patch sizes
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.625235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cfcd0d89-b4bd-436e-8c96-27e8d96e6006 · outbound
This paper cites B- cos alignment for inherently interpretable cnns and vision transform- ers.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis B- cos alignment for inherently interpretable cnns and vision transform- ers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.614293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7450c26c-cfdf-461e-9c6b-4cb9b32fcf48 · outbound
This paper cites Transformer interpretability beyond attention visualization.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Transformer interpretability beyond attention visualization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.603845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7c5c0cef-da9e-4c6a-8d16-3cda200090b0 · outbound
This paper cites This looks like that: deep learning for in- terpretable image recognition.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis This looks like that: deep learning for in- terpretable image recognition
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.592962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ab03a7fa-c20e-4df6-b0e7-5001c85e9fad · outbound
This paper cites Randaugment:Practicalautomateddataaugmentationwithareduced search space.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Randaugment:Practicalautomateddataaugmentationwithareduced search space
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:15.821673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9448bd30-3d97-4a2c-9384-ece9f79b1885 · outbound
This paper cites Aiforradiographic covid-19 detection selects shortcuts over signal.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Aiforradiographic covid-19 detection selects shortcuts over signal
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.575455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 218f7fe6-315d-4070-b6a2-797f18026b82 · outbound
This paper cites This actually looks like that: Proto-BagNets for local and global interpretability-by-design.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis This actually looks like that: Proto-BagNets for local and global interpretability-by-design
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:25:21.067122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9d9fe4a5-a664-4613-98d4-81759f08aded · outbound
This paper cites Pretrained deep 2.5 d models for efficient predictive modeling from retinal oct: A pinnacle study report.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Pretrained deep 2.5 d models for efficient predictive modeling from retinal oct: A pinnacle study report
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.566269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6454f237-a166-440c-96e4-c39c22777b67 · outbound
This paper cites Attention to lesion: Lesion-aware convolu- tionalneuralnetworkforretinalopticalcoherencetomographyimage classification.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Attention to lesion: Lesion-aware convolu- tionalneuralnetworkforretinalopticalcoherencetomographyimage classification
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.556337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8ee77557-77aa-4536-9ce2-34797aac3fc5 · outbound
This paper cites an unresolved cited work.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:25:21.545057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e83ebc92-41dc-4ba0-93a2-e93c3e87ca14 · outbound
This paper cites Early and intermediate age-related macular degeneration: update and clinical review.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Early and intermediate age-related macular degeneration: update and clinical review
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.531758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 382fab94-866b-4b04-b831-2264ac395dfc · outbound
This paper cites Octid: Optical coherence tomography image database.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Octid: Optical coherence tomography image database
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.519022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 385a5136-b594-414e-b4bc-2f31bf67dfb3 · outbound
This paper cites Kfwc: a knowledge-drivendeeplearningmodelforfine-grainedclassification of wet-amd.Computer Methods and Programs in Biomedicine, 229: 107312, 2023.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Kfwc: a knowledge-drivendeeplearningmodelforfine-grainedclassification of wet-amd.Computer Methods and Programs in Biomedicine, 229: 107312, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.507739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b0fe59e5-e276-4010-b225-c9dbce9a8350 · outbound
This paper cites Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.ScientificReports, 12(1):2232, 2022.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.ScientificReports, 12(1):2232, 2022
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.496705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3508a185-fe4a-4f85-904f-4c6721433cbc · outbound
This paper cites Aninterpretabletransformernetworkfortheretinaldisease classificationusingopticalcoherencetomography.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Aninterpretabletransformernetworkfortheretinaldisease classificationusingopticalcoherencetomography
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.484170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 069d335d-482a-456e-83eb-5873a2347edb · outbound
This paper cites Deep residual learning for image recognition.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Deep residual learning for image recognition
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:16.666678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4e64184-62cf-40f6-a23d-d6fdeca34cf3 · outbound
This paper cites Automated retinal disease classification using hybrid transformer model (svit) using optical coherence tomography images.NeuralComputingandApplications, pages 1–18, 2024.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Automated retinal disease classification using hybrid transformer model (svit) using optical coherence tomography images.NeuralComputingandApplications, pages 1–18, 2024
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.465783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 29cf6894-9782-4ac3-b5a9-12eae627278d · outbound
This paper cites Automatic classification of retinal optical coherence tomography images with layer guided convolutional neural network.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Automatic classification of retinal optical coherence tomography images with layer guided convolutional neural network
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.455882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f10aae53-885d-4124-8e14-3273b4d94e1c · outbound
This paper cites Optical coherence tomography to detect and manage retinal disease and glaucoma.American journal ofophthalmology, 137(1):156–169, 2004.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Optical coherence tomography to detect and manage retinal disease and glaucoma.American journal ofophthalmology, 137(1):156–169, 2004
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.445833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a20685c8-dc73-4892-8fcb-312ba02a86b7 · outbound
This paper cites Subretinalfluidin macular edemasecondary to branchretinal vein occlusion.Scientific Reports, 14(1):13623, 2024.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Subretinalfluidin macular edemasecondary to branchretinal vein occlusion.Scientific Reports, 14(1):13623, 2024
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.436204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6f229d0a-0d1e-44e1-b457-522de8a0ecf1 · outbound
This paper cites Explainability of Vision Transformers: A Comprehensive Review and New Perspectives.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Explainability of Vision Transformers: A Comprehensive Review and New Perspectives
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:17.127346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55ff1e56-fbf3-4324-a9ad-37e06a7fbe10 · outbound
This paper cites Identifying medical diagnoses and treatable diseases by image-based deep learning.cell, 172(5): 1122–1131, 2018.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Identifying medical diagnoses and treatable diseases by image-based deep learning.cell, 172(5): 1122–1131, 2018
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.426747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ff10f2fc-4634-470e-ad74-83a376882201 · outbound
This paper cites Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on oct.Multimedia Tools and Applications, pages 1–21, 2024.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on oct.Multimedia Tools and Applications, pages 1–21, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.415834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 73a040d4-109b-422a-ba68-cbac7007759b · outbound
This paper cites To- wards evaluating explanations of vision transformers for medical imaging.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis To- wards evaluating explanations of vision transformers for medical imaging
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.404237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2ea51e09-beb4-4d96-8741-7c28f03ecbb2 · outbound
This paper cites Octdl: Optical coherence tomography dataset for image-based deep learning methods.Scientific Data, 11(1):365, 2024.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Octdl: Optical coherence tomography dataset for image-based deep learning methods.Scientific Data, 11(1):365, 2024
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.393787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dfd1cf02-b57f-43cc-882f-7c2e9c3b79b7 · outbound
This paper cites Un- masking clever hans predictors and assessing what machines really learn.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Un- masking clever hans predictors and assessing what machines really learn
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.382083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 57a854ab-5aaf-49db-8618-5205a7d62969 · outbound
This paper cites Future-ai: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Future-ai: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.372061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5503a998-7739-49a6-ba34-d48b097d920b · outbound
This paper cites an unresolved cited work.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:25:21.361129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1590433-41fd-404c-a323-fbe2528894bf · outbound
This paper cites Focal Loss for Dense Object Detection.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Focal Loss for Dense Object Detection
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:17.939056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bce481ee-1704-429a-bcb8-b12220d9dbe0 · outbound
This paper cites Swintransformer:Hierarchicalvision transformerusingshiftedwindows.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Swintransformer:Hierarchicalvision transformerusingshiftedwindows
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:18.058079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a9ec4dc-e0ac-4547-b2c4-1d58a40a6192 · outbound
This paper cites Decoupled Weight Decay Regularization.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Decoupled Weight Decay Regularization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:18.206101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ade20b5-27bc-4630-9568-f41ec00835bc · outbound
This paper cites Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:18.327265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f3a85a6-7440-4ec3-b0bc-fbf82aedc1e3 · outbound
This paper cites Using protopnet for interpretable alzheimer’s disease classification.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Using protopnet for interpretable alzheimer’s disease classification
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.341616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 231debea-5f6c-45e2-8388-d42118643425 · outbound
This paper cites Deep multimodal fusion of data with heterogeneous dimensionality via projective networks.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Deep multimodal fusion of data with heterogeneous dimensionality via projective networks
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.328724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d49c6eb3-c10d-49f2-b7f8-86aa7b1ba835 · outbound
This paper cites Trivialaugment: Tuning-free yet state-of-the-art data augmentation.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Trivialaugment: Tuning-free yet state-of-the-art data augmentation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.318279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a2ca710d-e935-4fa8-8359-8aaa986a4f25 · outbound
This paper cites Neural pro- totype trees for interpretable fine-grained image recognition.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Neural pro- totype trees for interpretable fine-grained image recognition
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.309533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 224d2f80-17cc-4b4e-929c-3f886de2b0de · outbound
This paper cites Interpreting and correcting medical image classification with pip-net.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Interpreting and correcting medical image classification with pip-net
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.300333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d467812-c3e6-461a-b8d0-09c6adafb84c · outbound
This paper cites Pip-net: Patch-based intuitive prototypes for interpretable imageclassification.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Pip-net: Patch-based intuitive prototypes for interpretable imageclassification
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.288310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 151fdd73-13a6-4fa5-b5f6-230af04b6b6d · outbound
This paper cites an unresolved cited work.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:25:21.276709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 187bea50-37d7-4b64-b740-2e329d1a60a7 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis DINOv2: Learning Robust Visual Features without Supervision
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:19.415773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a2fb45-ecd5-4ce5-93f6-73c98db8c9d3 · outbound
This paper cites an unresolved cited work.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:25:21.266137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 45f5633e-37d4-4e2e-bfdf-3fb554f15793 · outbound
This paper cites Stop explaining black box machine learning models forhighstakesdecisionsanduseinterpretablemodelsinstead.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Stop explaining black box machine learning models forhighstakesdecisionsanduseinterpretablemodelsinstead
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.254969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b768aa55-3194-4fec-a841-7bfac4cfb0e4 · outbound
This paper cites Imagenet large scale visual recognition challenge.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Imagenet large scale visual recognition challenge
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.244577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 42ff4fb0-cdea-4c25-b5ba-2e174e6650d2 · outbound
This paper cites ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:20.092123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcce8337-456e-472b-a5b6-3f2544399edf · outbound
This paper cites Protomil: Multiple instance learning with prototypical parts for whole-slide image clas- sification.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Protomil: Multiple instance learning with prototypical parts for whole-slide image clas- sification
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.233956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c140a610-1815-44c3-95b1-bc3eaba1c28b · outbound
This paper cites Spreading vectors for similarity search.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Spreading vectors for similarity search
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:20.336419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49f5bb66-78c5-463a-990f-8b26cda75fe4 · outbound
This paper cites Transparency of deep neural networks for medical image analysis: A review of interpretability methods.Computers in biologyandmedicine, 140:105111, 2022.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Transparency of deep neural networks for medical image analysis: A review of interpretability methods.Computers in biologyandmedicine, 140:105111, 2022
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.222441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation af0c8bc9-37ce-47c0-809c-fb4bfd28889a · outbound
This paper cites Towards explainable artificial intelligence.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Towards explainable artificial intelligence
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.210576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f77fb179-72de-472e-b347-a0c0976bc85f · outbound
This paper cites Exploitingepistemicuncertaintyofanatomy segmentation for anomaly detection in retinal oct.IEEE transactions onmedical imaging, 39(1):87–98, 2019.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Exploitingepistemicuncertaintyofanatomy segmentation for anomaly detection in retinal oct.IEEE transactions onmedical imaging, 39(1):87–98, 2019
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.199578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3b6ebe6f-df04-4b59-b0d6-d727df033a8e · outbound
This paper cites Grad-cam: visual explanations from deep networks via gradient-based localization.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Grad-cam: visual explanations from deep networks via gradient-based localization
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.188763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3883314c-cb72-469d-b29d-141c8f75d110 · outbound
This paper cites Improving interpretabilityinmachinediagnosis:detectionofgeographicatrophy in oct scans.Ophthalmology Science, 1(3):100038, 2021.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Improving interpretabilityinmachinediagnosis:detectionofgeographicatrophy in oct scans.Ophthalmology Science, 1(3):100038, 2021
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.177234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c0983358-7f7b-40a6-a123-e89b1badcc47 · outbound
This paper cites Think positive: An interpretable neural network for image recognition.NeuralNetworks, 151:178–189, 2022.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Think positive: An interpretable neural network for image recognition.NeuralNetworks, 151:178–189, 2022
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.166709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 35b6f81d-4614-4ce9-8ff0-0e4fb4ced4cc · outbound
This paper cites Aninterpretabledeeplearning model for covid-19 detection with chest x-ray images.Ieee Access, 9:85198–85208, 2021.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Aninterpretabledeeplearning model for covid-19 detection with chest x-ray images.Ieee Access, 9:85198–85208, 2021
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.157399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation abc00a4e-d05e-40ff-96be-4dea89f96f14 · outbound
This paper cites An interpretable and accurate deep-learning diagnosis framework modeled with fully and semi- supervised reciprocal learning.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis An interpretable and accurate deep-learning diagnosis framework modeled with fully and semi- supervised reciprocal learning
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.147944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aba8da71-5419-4ae5-aaaf-aafac401ac77 · outbound
This paper cites Score-cam: Score- weighted visual explanations for convolutional neural networks.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Score-cam: Score- weighted visual explanations for convolutional neural networks
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.136648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 23f74fca-c1d4-4bc2-85c5-78fb174dcdb1 · outbound
This paper cites Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:20.861772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fbdef7d-34ec-478d-a950-39e7769a8926 · outbound
This paper cites Pytorch image models.https://github.com/ rwightman/pytorch-image-models, 2019.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Pytorch image models.https://github.com/ rwightman/pytorch-image-models, 2019
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.125751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7f8520f2-71c7-47ae-a013-ea7908823399 · outbound
This paper cites an unresolved cited work.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T04:25:21.115509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1909bcc8-167c-4dfe-8188-d1193efa11d3 · outbound
This paper cites Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Protopformer: Concentrating on prototypical parts in vision transformers for interpretable image recognition
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:20.871806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc46ce34-2136-4833-84a4-8d0dc9c25d0a · outbound
This paper cites Survey on explainable ai: From approaches, limitations and applications aspects.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis Survey on explainable ai: From approaches, limitations and applications aspects
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.105623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d798faf6-0302-4530-8fc7-cb47c81f65aa · outbound
This paper cites xx”, non-prototypical models with “–.
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis xx”, non-prototypical models with “–
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T04:25:21.094462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.