Paper Citation Record · LEDGER

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.21316.

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

pith.paper-citation-record.v1
2505.21316 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:51.604743Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:48.082802Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:35:52.308569Z

Reference resolution

32 of 32 outbound references displayed

verified exact3
verified fuzzy24
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b90fc44d-f106-43c0-9c9d-5d405de85165 · outbound

This paper cites Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:35:52.468636Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ad1b9ee-17d6-4cef-b7db-8cb0c2223bff · outbound

This paper cites an unresolved cited work.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:35:58.542881Z

Source-reported events for the cited work

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Observation c395a3e1-edc8-4834-ba0f-61da02f743ee · outbound

This paper cites Femi and Mukunthan.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Femi and Mukunthan

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.230043Z

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Observation 70e2845b-e807-492b-b344-14aaeb367de5 · outbound

This paper cites We emphasize accuracy, computational efficiency, and interpretability throughout our image processing and model evaluation pipeline.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism We emphasize accuracy, computational efficiency, and interpretability throughout our image processing and model evaluation pipeline

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:57.789287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c24f56db-b353-428c-8390-a96fa55e618f · outbound

This paper cites an unresolved cited work.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:35:57.623007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eda37b1a-ebaf-4a7c-9b60-2e3f929f493a · outbound

This paper cites an unresolved cited work.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:35:57.337219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d30bd66-5299-4c68-a695-019f0e2ad9bf · outbound

This paper cites Contrast limited adaptive histogram equalization,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Contrast limited adaptive histogram equalization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.040670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6465b13f-9ac9-43b6-93d3-110cf655d1b1 · outbound

This paper cites Re- cent advances in image processing techniques for auto- mated leaf pest and disease recognition–a review,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Re- cent advances in image processing techniques for auto- mated leaf pest and disease recognition–a review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:57.019995Z

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Observation c2687fb0-082e-42b2-82f1-52c3a7bb85ff · outbound

This paper cites A robust deep learning ap- proach for tomato plant leaf disease localization and classification,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism A robust deep learning ap- proach for tomato plant leaf disease localization and classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.777766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0603c1db-af9a-4bc7-b1f9-c8136920316c · outbound

This paper cites Identification and localization of grape diseased leaf images captured by uav based on cnn,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Identification and localization of grape diseased leaf images captured by uav based on cnn,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.565890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b872f5e-7c3c-4c73-af61-0608b6bb9dc8 · outbound

This paper cites Detection of rice leaf diseases using image processing,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Detection of rice leaf diseases using image processing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.389410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d54041f-a7a2-4018-9005-1643dc5b7790 · outbound

This paper cites Mobilenetv2: Inverted residuals and lin- ear bottlenecks,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Mobilenetv2: Inverted residuals and lin- ear bottlenecks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.220084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b6b22c0-7d42-4578-b083-e20abbbb0df8 · outbound

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

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 13

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Source-reported events for the cited work

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Observation 6ee17a41-ab75-4883-8cf3-136d7fb7bc14 · outbound

This paper cites Kumar et al.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Kumar et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.052130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3f2e3e4-c251-4c4b-ae53-bdc721746d39 · outbound

This paper cites Squeeze-and-excitation networks,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Squeeze-and-excitation networks,

Reference 15

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Source-reported events for the cited work

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Observation fc39b3f5-20e3-463e-a4cb-bfb1666aee6f · outbound

This paper cites Deep learning-based seg- mentation for disease identification,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Deep learning-based seg- mentation for disease identification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.846924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d195670-e6ad-454c-985b-4fa9cd72beea · outbound

This paper cites A two-stage deep-learning based segmentation model for crop dis- ease quantification based on corn field imagery,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism A two-stage deep-learning based segmentation model for crop dis- ease quantification based on corn field imagery,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.619869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cccbeda6-3a42-4a0b-b49e-17c50256ef49 · outbound

This paper cites U-net: Convo- lutional networks for biomedical image segmentation,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism U-net: Convo- lutional networks for biomedical image segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.324703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e31efda-fd63-4ea8-9557-b00dc771fb26 · outbound

This paper cites Betel leaf image dataset from bangladesh,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Betel leaf image dataset from bangladesh,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.103689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01e76943-3e14-407d-9bde-cbbea2b7b90e · outbound

This paper cites gWaveNet: Classification of gravity waves from noisy satellite data using custom kernel integrated deep learning method,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism gWaveNet: Classification of gravity waves from noisy satellite data using custom kernel integrated deep learning method,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.903664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97ee8faa-97a4-4c87-94fe-daedead56b94 · outbound

This paper cites Betel leaf diseases classification using machine learning algorithm: A fea- sible approach,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Betel leaf diseases classification using machine learning algorithm: A fea- sible approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.575689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40adbd3b-ef89-4e92-9eae-850b8c4efdf5 · outbound

This paper cites An inte- grated tea leaf diseases identification and retrieval model using machine learning and deep learn- ing approach,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism An inte- grated tea leaf diseases identification and retrieval model using machine learning and deep learn- ing approach,

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T13:35:51.900709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f3cd82d-39fd-4d17-baee-1e7bd465045b · outbound

This paper cites Joint plant- spraypoint detector with convnext modules and hist- match normalization,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Joint plant- spraypoint detector with convnext modules and hist- match normalization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.384236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b48147d7-921f-485e-bdd0-9c8ae7fa53be · outbound

This paper cites Recognition of early blight and late blight diseases on potato leaves based on graph cut segmenta- tion,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Recognition of early blight and late blight diseases on potato leaves based on graph cut segmenta- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.217379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b00f2983-fac2-449b-b68e-a37844644b3e · outbound

This paper cites Arm-unet: attention residual path modified unet model to segment the fungal pathogen diseases in potato leaves,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Arm-unet: attention residual path modified unet model to segment the fungal pathogen diseases in potato leaves,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.022086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 928fb85e-1ae6-4f58-8315-c03a84ee461a · outbound

This paper cites Atten-adapter: A unified attention-based adapter for ef- ficient tuning,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Atten-adapter: A unified attention-based adapter for ef- ficient tuning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:53.804359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68011911-4863-46a0-941a-8a823ffb6240 · outbound

This paper cites Attention toward neighbors: A context aware framework for high resolution image segmentation,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Attention toward neighbors: A context aware framework for high resolution image segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:53.565988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab1fff14-e603-4ede-8a3f-b5489acfa602 · outbound

This paper cites Convolutional atten- tion model for restaurant recommendation with multi- view visual features,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Convolutional atten- tion model for restaurant recommendation with multi- view visual features,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:53.409216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 673edd51-53b6-4216-8b74-17880c1c2acc · outbound

This paper cites High-accuracy gesture recognition using mm- wave radar based on convolutional block attention mod- ule,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism High-accuracy gesture recognition using mm- wave radar based on convolutional block attention mod- ule,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:53.160647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55d9a202-f667-439c-8b68-4e233e5fb560 · outbound

This paper cites Attention unet++: A nested attention-aware u-net for liver ct image segmentation,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Attention unet++: A nested attention-aware u-net for liver ct image segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:52.885288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85e1732c-2902-4ed2-be20-8bded7c98bba · outbound

This paper cites Fibonet: A light-weight and efficient neural network for image segmentation,.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Fibonet: A light-weight and efficient neural network for image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:52.640250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7d88684-e8ca-4fb5-be91-a3a20a3361cb · outbound

This paper cites Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling.

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:35:52.147507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation b90fc44d-f106-43c0-9c9d-5d405de85165 · inbound