Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:37.891176Z
Paper Citation Record · LEDGER
DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data
As of 18 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.
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
50 of 50 outbound references displayed
- verified exact0
- verified fuzzy43
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch2
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
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
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
- raw_fallback, observed 2026-08-06T23:28:52.794983Z
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 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
- raw_fallback, observed 2026-08-06T23:28:52.439167Z
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 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
- raw_fallback, observed 2026-08-06T23:28:52.055858Z
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 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
- raw_fallback, observed 2026-08-06T23:28:51.564882Z
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 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
- raw_fallback, observed 2026-08-06T23:28:51.155295Z
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 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
- raw_fallback, observed 2026-08-06T23:28:50.804868Z
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 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
- raw_fallback, observed 2026-08-06T23:28:50.463680Z
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 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
- raw_fallback, observed 2026-08-06T23:28:50.048093Z
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 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
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:28:49.678268Z
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 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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- raw_fallback, observed 2026-08-06T23:28:49.370774Z
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 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
- raw_fallback, observed 2026-08-06T23:28:49.082362Z
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 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
- raw_fallback, observed 2026-08-06T23:28:48.628150Z
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 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
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:28:48.339565Z
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 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
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:28:48.102744Z
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 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
- raw_fallback, observed 2026-08-06T23:28:47.715857Z
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 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
- raw_fallback, observed 2026-08-06T23:28:47.458101Z
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 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
- raw_fallback, observed 2026-08-06T23:28:47.217535Z
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 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
- raw_fallback, observed 2026-08-06T23:28:46.938900Z
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 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
- raw_fallback, observed 2026-08-06T23:28:46.735732Z
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 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
- raw_fallback, observed 2026-08-06T23:28:46.490627Z
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 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
- raw_fallback, observed 2026-08-06T23:28:46.273445Z
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 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
- raw_fallback, observed 2026-08-06T23:28:45.896336Z
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 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
- raw_fallback, observed 2026-08-06T23:28:45.661940Z
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 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
- raw_fallback, observed 2026-08-06T23:28:45.429784Z
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 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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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
- no resolver link, observed 2026-08-06T23:28:35.149839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
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 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.