Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07338.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:55.579346Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:16:48.339665Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fbbce8ba-b89f-463a-9a02-482173c48f7a · inbound
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI cites this paper.
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:58.028346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78d32d7f-0a73-4521-b37e-219122d321a1 · inbound
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection cites this paper.
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:10:55.579346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1df9f840-62db-41be-87f3-cdf0cd352741 · inbound
Lightweight Convolutional Neural Networks for Retinal Disease Classification cites this paper.
Lightweight Convolutional Neural Networks for Retinal Disease Classification Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:35.552986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b570c8fd-45ae-48ee-ac56-bd19df61d967 · inbound
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh cites this paper.
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:43:12.992478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de5283d4-8490-4384-b4b1-2d348d37abde · inbound
LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation cites this paper.
LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:16:48.341283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.