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Paper Citation Record · LEDGER

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2506.18173.

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

pith.paper-citation-record.v1
2506.18173 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:37.891176Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

50 of 50 outbound references displayed

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  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a5bdb67-6071-4748-9be0-c73f83bbceb8 · outbound

This paper cites Computers and Electronics in Agriculture 187, 106279 (2021).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Computers and Electronics in Agriculture 187, 106279 (2021)

Reference 1

Resolution
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Observation 56aec89e-203e-4661-b012-41c57396c4d7 · outbound

This paper cites In: 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI)

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6b1950da-2735-4bd4-86b1-39b1bdffaf45 · outbound

This paper cites Msc thesis, Department of Computer Science and Engineering (CSE), Islamic University of Technology (2022).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Msc thesis, Department of Computer Science and Engineering (CSE), Islamic University of Technology (2022)

Reference 3

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 33850ac5-8cde-4d14-b5ab-682b653124a0 · outbound

This paper cites IEEE Access 10, 68868–68884 (2022).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data IEEE Access 10, 68868–68884 (2022)

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 26506961-bf34-4819-aad3-71c9b4ea7ee1 · outbound

This paper cites In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 039a27af-2ec8-48da-bc6b-aa2007707668 · outbound

This paper cites IEEE Access 10, 45001–45028 (2022).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data IEEE Access 10, 45001–45028 (2022)

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e7d3ffe3-77b6-4718-a61b-37cefeb3f520 · outbound

This paper cites Computers and Electronics in Agriculture 175, 105542 (2020).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Computers and Electronics in Agriculture 175, 105542 (2020)

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c10ff338-5252-421e-a6ad-1f60f836f7d0 · outbound

This paper cites IEEE Access 10, 92597–92632 (2022).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data IEEE Access 10, 92597–92632 (2022)

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fab41ac1-fbe3-438a-a6b9-0be3cd507083 · outbound

This paper cites In: In- ternational Conference on Electrical, Computer and Communication Engineering (ECCE).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: In- ternational Conference on Electrical, Computer and Communication Engineering (ECCE)

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 47cb1077-2a80-4680-8cec-b5e2deb83cac · outbound

This paper cites Sensors 21(6) (2021).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Sensors 21(6) (2021)

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a1e698b7-8340-44d7-9681-c5264bf9ea72 · outbound

This paper cites A Closer Look at Few-shot Classification.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data A Closer Look at Few-shot Classification

Reference 11

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Source-reported events for the cited work

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Observation ab2f1036-a324-45b4-a875-b276e0858598 · outbound

This paper cites In: 2024 27th Interna- tional Conference on Computer and Information Technology (ICCIT).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 2024 27th Interna- tional Conference on Computer and Information Technology (ICCIT)

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0befa7a5-838b-433c-815f-26c1c2716930 · outbound

This paper cites In: Computer Vision – ECCV 2020.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: Computer Vision – ECCV 2020

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e13034be-9e3a-44b0-869a-4a8762111403 · outbound

This paper cites Frontiers in Plant Science 13 (2022).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Frontiers in Plant Science 13 (2022)

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a2f7c987-5906-41d7-995f-36c5b33f92aa · outbound

This paper cites In: Proceedings of the 34th International Conference on Machine Learning.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: Proceedings of the 34th International Conference on Machine Learning

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4af271de-a82f-45f9-9586-afdd8f8c4ba2 · outbound

This paper cites Neural networks 18(5-6), 602–610 (2005).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Neural networks 18(5-6), 602–610 (2005)

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c6bc3f57-367e-4cc7-89ce-1ab76a105e6d · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23c392ec-1e27-4e48-a602-567b89c7d201 · outbound

This paper cites In: 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c38f42db-e2ca-4329-a99c-e63c9ace780e · outbound

This paper cites Computers and Electronics in Agriculture 163, 104852 (2019).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Computers and Electronics in Agriculture 163, 104852 (2019)

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c760068e-ca7c-4823-ae62-fa5dd76eaa73 · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cd2aceb0-df5d-4943-870d-771ba1541194 · outbound

This paper cites arXiv - Computing Research Repository (2015).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data arXiv - Computing Research Repository (2015)

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6bedb945-5f0e-4d4e-b926-d598c5366b62 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f5c39ac4-5c87-4c54-a60b-242134e4deda · outbound

This paper cites In: 25th International Conference on Computer and Infor- mation Technology (ICCIT).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 25th International Conference on Computer and Infor- mation Technology (ICCIT)

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1a2cb9c8-ec85-4edb-9721-551c895fdff4 · outbound

This paper cites In: Proceedings of the 32nd Int.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: Proceedings of the 32nd Int

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a0c4deb2-76ca-45c4-afe2-a150296eabdd · outbound

This paper cites In: ECCV 2020.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: ECCV 2020

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 81b1bcfe-d21f-442b-ab29-7fe2cf34d0f8 · outbound

This paper cites IEEE Access 9, 56683–56698 (2021).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data IEEE Access 9, 56683–56698 (2021)

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c222f24f-bb1a-42ef-ad9e-1bcd33a98bd1 · outbound

This paper cites Computers and Electronics in Agriculture 182, 106055 (2021).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Computers and Electronics in Agriculture 182, 106055 (2021)

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5c794c9b-0103-4d5f-b826-c51ec37613ee · outbound

This paper cites Applied Sciences 10(4) (2020).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Applied Sciences 10(4) (2020)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:45.077527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6a5fad12-39ef-4717-972f-8f883b17f70f · outbound

This paper cites In: 2022 12th International Conference on Electrical and Computer Engineering (ICECE).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 2022 12th International Conference on Electrical and Computer Engineering (ICECE)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:44.785098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 297a861c-54e5-4c92-ac11-bd070c1ddb5d · outbound

This paper cites Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case

Reference 30

Resolution
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local_arxiv, observed 2026-08-06T23:28:39.081433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d0bfab75-b987-4721-8695-59dc40f16cd7 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data On First-Order Meta-Learning Algorithms

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87fa5ba5-8028-4ca6-aec4-cfcba2e5301b · outbound

This paper cites Journal of Intelligent & Fuzzy Systems 40, 12383–12398 (2021), 6.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Journal of Intelligent & Fuzzy Systems 40, 12383–12398 (2021), 6

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:44.576348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation efdd40ca-5e1b-4017-961a-1c85c55abd12 · outbound

This paper cites Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:28:38.514747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fc5f51a2-88ea-4014-9671-ea7d6ffe55a0 · outbound

This paper cites Agronomy (2021).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Agronomy (2021)

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:44.334938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 723aeca9-a0af-41e2-933c-b6ee37ec53bf · outbound

This paper cites Ahmed et al.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Ahmed et al

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:44.088496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:35.768409Z digest=sha256:30a4238ef0de7019ce5a45359d518f7bdd40d03b707b3af213099c500ffd42bd

Observation 38de81b7-dbb6-4ed5-b1da-7633591fb929 · outbound

This paper cites In: ICCV 2025 Workshop on Cultural Continuity of Artists (2025).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: ICCV 2025 Workshop on Cultural Continuity of Artists (2025)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:43.732484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:35.898497Z digest=sha256:645a9ee16b5cd00e59a606e29b3bb74493477a49edd820bf7de54a431bfee6d8

Observation 96b83172-6780-46e7-9c10-008001c09c1e · outbound

This paper cites In: International Electronics Symposium (IES).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: International Electronics Symposium (IES)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:43.497993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:36.064742Z digest=sha256:cb2ea7705c83b5d9a8621a6f7eb41eaa5a273def8c04c7f225b8dc7cde58cdbe

Observation 8f13c755-6a07-4a13-8520-be6cea9c3a7b · outbound

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

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:36.173625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:36.173625Z digest=sha256:3b569a4f89c5fce70dbe5b5724b669b3d6e196498f55e54f20eaad99ce7798f6

Observation 137fa444-b786-4afa-9e10-4e05f4940aa4 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: Advances in Neural Information Processing Systems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:43.306049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:36.297681Z digest=sha256:e21a07dbefa58f0d681d2b3d449c6be7730124aab15b8035ef2b49bbc11175dc

Observation b969c336-dff6-49d8-b580-4f66c627b117 · outbound

This paper cites Agronomy Journal 116(3), 1204–1216 (2024).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Agronomy Journal 116(3), 1204–1216 (2024)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:43.055799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:36.424208Z digest=sha256:1a335beea6c6b43d52f4e7fbb6be6345394f2f697e2d8854d9066da7934b906f

Observation db69775a-756e-452b-952a-0e5b57c1c091 · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recogni- tion (CVPR).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: IEEE Conference on Computer Vision and Pattern Recogni- tion (CVPR)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:42.830175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:36.605905Z digest=sha256:de4da47a7c7a60842e313fb8bd058b3bfbec3383c919ce2cbebfcc4b005fa739

Observation 06721ee0-ce17-41bf-bc3f-c403058bba44 · outbound

This paper cites an unresolved cited work.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:28:42.530023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:36.745050Z digest=sha256:7218114071de622a1e81528e59ad9f2da548dbceb4e9d97a985e4cf8fb9229c6

Observation 1e9bad69-f12d-4469-bec4-a745e552ed76 · outbound

This paper cites Multimedia Tools and Applications 83(20), 58293–58308 (Jun 2024).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Multimedia Tools and Applications 83(20), 58293–58308 (Jun 2024)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:42.335159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:36.894879Z digest=sha256:d305c3decd3119ac4e29846bb836feb8a6dc645b71b5129204dad387ca74f854

Observation 8c769151-cc51-4549-a42e-67dcb23c4564 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: Advances in Neural Information Processing Systems

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:41.943930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.003889Z digest=sha256:2dcabf3ef0da8cd2ec546c1af54c1b142935b22359e00123d5f93c6f84aff510

Observation 35c807d3-d08f-4866-8878-874648ecdc65 · outbound

This paper cites IEEE Access 7, 151754–151763 (2019).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data IEEE Access 7, 151754–151763 (2019)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:41.595154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.127165Z digest=sha256:47ffbd18796d76514c00ba0a5053cbbe0d9f50673b5dc4dff3f2b041d6e00e29

Observation f519a4e6-2e91-4297-9c88-4c9e44804639 · outbound

This paper cites In: IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:41.234745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.235825Z digest=sha256:c539f18d86f2c6124a54d3aa8b2dc286e2ea28e4816da05490710c2921693b36

Observation 94470e30-05c0-48ca-933e-da6a9a4cc570 · outbound

This paper cites Frontiers in Plant Science Volume 14 - 2023 (2023).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Frontiers in Plant Science Volume 14 - 2023 (2023)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:40.824839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.409101Z digest=sha256:37edd523aedd3cb4076cb54e7d27d13a5e07c09969b50ab2d89eae71be045eba

Observation b218d0e3-a450-41df-b600-fca401150d37 · outbound

This paper cites In: 2021 Joint 10th International Confer- ence on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data In: 2021 Joint 10th International Confer- ence on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:40.494843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.582836Z digest=sha256:363470c9bc73fee13442cd1676e55df4ed62753422689dc0dc39ac0e71d120d9

Observation 3d74a1e1-3cdb-4ce1-bdc6-626afba8eb5c · outbound

This paper cites Multimedia Tools and Applications 83(18), 54147–54164 (2024).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Multimedia Tools and Applications 83(18), 54147–54164 (2024)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:40.218742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.754743Z digest=sha256:7835ffe7703609bfca91788d2b8d64ff164452e992bc3b4ba1e1212dc0e36203

Observation b46055a5-1626-4be5-b210-4a400c834cc9 · outbound

This paper cites Big Data Mining and Analytics 8(1), 145–188 (2025).

DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data Big Data Mining and Analytics 8(1), 145–188 (2025)

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:28:39.855824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:28:37.891176Z digest=sha256:962ad2416744d0405faf92ce2e56e28001ef6abfaf98701dc8dfef9c78ee82fc

Pith citing papers

No inbound Pith citation observations are available.