Paper Citation Record · LEDGER

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.16033.

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

pith.paper-citation-record.v1
2505.16033 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:58.028346Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38eed9f2-efd3-4bd7-aea6-2d88aa52049b · outbound

This paper cites The resource outlook to 2050: by how much do land, water and crop yields need to increase by 2050? expert meeting on how to feed the world in 2050.http://www.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI The resource outlook to 2050: by how much do land, water and crop yields need to increase by 2050? expert meeting on how to feed the world in 2050.http://www

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:00.412210Z

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.

Observation 1926e7d1-8677-4aa6-88e6-7c73d150ac5b · outbound

This paper cites Plant leaf disease recognition using depth-wise separable convolution-based models.Symmetry, 13(3):511, 2021.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Plant leaf disease recognition using depth-wise separable convolution-based models.Symmetry, 13(3):511, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:00.308661Z

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.

Observation d656114a-b13f-4f32-acce-8b0b8dc63cdc · outbound

This paper cites Transfer learning- based deep ensemble neural network for plant leaf disease detection.Journal of Plant Diseases and Protection, 129(3):545–558, 2022.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Transfer learning- based deep ensemble neural network for plant leaf disease detection.Journal of Plant Diseases and Protection, 129(3):545–558, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:10:00.140018Z

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.

Observation ce65a79e-faa1-4499-b698-2540982a8054 · outbound

This paper cites An open access repository of images on plant health to enable the development of mobile disease diagnostics.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI An open access repository of images on plant health to enable the development of mobile disease diagnostics

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:56.888941Z

Source-reported events for the cited work

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Observation 25253991-19ca-42c3-a31a-eb22bc519a7a · outbound

This paper cites High performance deep learning architecture for early detection and classification of plant leaf disease.Journal of Agriculture and Food Research, 14:100675, 2023.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI High performance deep learning architecture for early detection and classification of plant leaf disease.Journal of Agriculture and Food Research, 14:100675, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.908899Z

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.

Observation a9a95875-d6c0-4a48-8b1e-2129b3d530d1 · outbound

This paper cites Plant disease detection in imbalanced datasets using efficient convolutional neural networks with stepwise transfer learning.IEEE Access, 9:140565– 140580, 2021.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Plant disease detection in imbalanced datasets using efficient convolutional neural networks with stepwise transfer learning.IEEE Access, 9:140565– 140580, 2021

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.698372Z

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.

Observation 93ea19a3-b1af-473a-a9f5-884f2005f025 · outbound

This paper cites Comparative analysis of cnn, efficientnet and resnet for grape and potato leaves disease prediction: A deep learning approach.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Comparative analysis of cnn, efficientnet and resnet for grape and potato leaves disease prediction: A deep learning approach

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.529169Z

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.

Observation f56ce7a9-01e4-4103-8a1e-f86a58f3c7cf · outbound

This paper cites Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model.Journal of Imaging, 9(2):53, 2023.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model.Journal of Imaging, 9(2):53, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.367674Z

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.

Observation 674e54fd-d8e3-48db-a208-f546fbefbb3d · outbound

This paper cites Explainable ai for tomato leaf disease detection: Insights into model interpretability.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Explainable ai for tomato leaf disease detection: Insights into model interpretability

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.235364Z

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.

Observation adffdbfc-2b69-404c-9fe0-63d54d4667a2 · outbound

This paper cites Explainable deep learning model for automatic mulberry leaf disease classification.Frontiers in Plant Science, 14:1175515, 2023.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Explainable deep learning model for automatic mulberry leaf disease classification.Frontiers in Plant Science, 14:1175515, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.198022Z

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.

Observation bc44b5c4-fc05-4cbb-80c3-777877b3c35d · outbound

This paper cites Explainable deep learning study for leaf disease classification.Agronomy, 12(5):1035, 2022.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Explainable deep learning study for leaf disease classification.Agronomy, 12(5):1035, 2022

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:59.038507Z

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.

Observation 57c942f1-2aec-4310-8010-f4605decb472 · outbound

This paper cites an unresolved cited work.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:09:58.909205Z

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.

Observation a84af8e0-3f86-4a9f-ae06-63292eccefef · outbound

This paper cites Plant leaf freshness and disease detection dataset from bangladesh, 2024.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Plant leaf freshness and disease detection dataset from bangladesh, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:58.769359Z

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.

Observation 50752491-aafc-4e7a-a3f3-81d3cd0dab16 · outbound

This paper cites Comprehensive smart smartphone image dataset for plant leaf disease detection and freshness assessment from bangladesh vegetable fields.Data in Brief, 56:110775, 2024.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Comprehensive smart smartphone image dataset for plant leaf disease detection and freshness assessment from bangladesh vegetable fields.Data in Brief, 56:110775, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:58.639038Z

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.

Observation 11a77817-5915-4aee-a7c7-bccc6a2e09e6 · outbound

This paper cites A study of cnn and transfer learning in medical imaging: Advantages, challenges, future scope.Sustainability, 15(7):5930, 2023.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI A study of cnn and transfer learning in medical imaging: Advantages, challenges, future scope.Sustainability, 15(7):5930, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:58.512690Z

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.

Observation 27fbb455-0832-49b5-afb0-5af6260b83d6 · outbound

This paper cites Keras.https://keras.io, 2015.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Keras.https://keras.io, 2015

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:57.772406Z

Source-reported events for the cited work

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Observation 9d2b9739-2dde-4e30-8c79-0ac1350497d1 · outbound

This paper cites an unresolved cited work.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:09:58.369916Z

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.

Observation 4d8f2cd8-1204-4f38-a537-b12b36470e4c · outbound

This paper cites A deep learning-based bengali visual question answering system.

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI A deep learning-based bengali visual question answering system

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:58.228382Z

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.

Observation fbbce8ba-b89f-463a-9a02-482173c48f7a · outbound

This paper cites Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images.

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.

Pith citing papers

No inbound Pith citation observations are available.