Paper Citation Record · LEDGER

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2412.07408.

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

pith.paper-citation-record.v1
2412.07408 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:54:33.156024Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T20:55:34.837390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:55:59.800339Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy13
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c18cf80-adf0-4f7f-a144-576f35eecaf4 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence34(11), 2274–2282 (2012) 20 J.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification IEEE transactions on pattern analysis and machine intelligence34(11), 2274–2282 (2012) 20 J

Reference 1

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Observation 00facafc-67ee-47a6-8fbf-ca40356fa613 · outbound

This paper cites Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:31.824866Z

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Observation d60061ad-9e22-478a-9b0a-5264cd8e487e · outbound

This paper cites Tropical Plant Pathology47(1), 85–94 (2022).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Tropical Plant Pathology47(1), 85–94 (2022)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:31.904946Z

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Observation 441ece79-334a-41ea-8535-e887f61e70e6 · outbound

This paper cites In: 2019 signal processing: Algorithms, architectures, arrangements, and applications (SPA).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: 2019 signal processing: Algorithms, architectures, arrangements, and applications (SPA)

Reference 4

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Observation 0e33b44e-741b-498c-bda8-01719e73478a · outbound

This paper cites an unresolved cited work.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Unresolved cited work

Reference 5

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Observation 007e384e-8690-4a8c-954e-b8b7ca5a84d6 · outbound

This paper cites In: Proceedings of the 23rd international conference on Machine learning.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: Proceedings of the 23rd international conference on Machine learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.034889Z

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Unavailable: canonical work link unavailable.

Observation 7fd6fcf2-ba47-4183-9535-efb2ba82fbe6 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: 2009 IEEE conference on computer vision and pattern recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.094749Z

Source-reported events for the cited work

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Observation 75b57fbd-d0c0-4b72-ade2-7e0bee5bd32d · outbound

This paper cites machines in the era of deep learning.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification machines in the era of deep learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.140320Z

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Observation 2ee8c7f3-870a-46cb-a8c5-d43af80af8fe · outbound

This paper cites Computers and Electronics in agriculture196, 106892 (2022).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Computers and Electronics in agriculture196, 106892 (2022)

Reference 9

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Observation 69cf0c4a-5742-4084-ad98-dc453bdcbe45 · outbound

This paper cites Di- vision of Cooperative Extension of the University of Wisconsin (2015).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Di- vision of Cooperative Extension of the University of Wisconsin (2015)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.224875Z

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Unavailable: canonical work link unavailable.

Observation 29b7d30d-7918-4a49-a04a-73af9eac71c6 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: Proceedings of the AAAI conference on artificial intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.247515Z

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Observation 7a0c02ed-830f-4fc5-aebe-db63d2f0afec · outbound

This paper cites Advances in neural information processing systems32 (2019).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Advances in neural information processing systems32 (2019)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.269204Z

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Unavailable: canonical work link unavailable.

Observation af3d987a-1bd1-4896-862c-e078cd239e20 · outbound

This paper cites Proceedings of the National Academy of Sciences115(18), 4613–4618 (2018).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Proceedings of the National Academy of Sciences115(18), 4613–4618 (2018)

Reference 13

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Observation c5581915-6eed-4af3-941c-0c80675cccd1 · outbound

This paper cites Computers and Electronics in Agriculture226, 109478 (2024).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Computers and Electronics in Agriculture226, 109478 (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:35.694741Z

Source-reported events for the cited work

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Observation d6dce9ea-0b34-4396-aaff-c502a2ae15c8 · outbound

This paper cites Scientific reports12(1), 5979 (2022).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Scientific reports12(1), 5979 (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:35.554882Z

Source-reported events for the cited work

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Observation 0befb79e-5bc3-453e-9870-d95514471b30 · outbound

This paper cites Patterns (2023).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Patterns (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:35.404837Z

Source-reported events for the cited work

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Observation aafccf56-58f9-4558-847e-006f67d43148 · outbound

This paper cites In: International conference on machine learning.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: International conference on machine learning

Reference 17

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Observation d5786d0b-c8f5-485f-8742-0bead94ce8b2 · outbound

This paper cites Explainable AI: Interpreting, explaining and visualizing deep learning pp.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Explainable AI: Interpreting, explaining and visualizing deep learning pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:35.094901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc83bd7e-0a14-4167-a6fa-4f82ba0fa7f0 · outbound

This paper cites In: Proceedings of the 2021 Thirteenth International Conference on Contemporary Computing.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: Proceedings of the 2021 Thirteenth International Conference on Contemporary Computing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:34.935571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f8cb180-ba37-4747-a8ac-08578ac19dd2 · outbound

This paper cites Computers and Electronics in Agriculture 170, 105220 (2020).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Computers and Electronics in Agriculture 170, 105220 (2020)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:34.784751Z

Source-reported events for the cited work

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Observation 058c2c07-9af6-40fe-b2e2-1af2e51c3cf8 · outbound

This paper cites In: 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:34.624914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 298d8aa7-3256-42e9-90ba-e9946bbfa237 · outbound

This paper cites Displays73, 102239 (2022).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Displays73, 102239 (2022)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:34.474752Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4b5e5c1-54f1-4bc5-ba36-3b10c58c0286 · outbound

This paper cites an unresolved cited work.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Unresolved cited work

Reference 23

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Observation eff6662e-c6a1-4ae2-afbf-309cb1f480c5 · outbound

This paper cites In: International Conference on Smart City and Informatization.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: International Conference on Smart City and Informatization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:34.254746Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5574188b-e795-4626-a54f-27f0f021606d · outbound

This paper cites why should i trust you?.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification why should i trust you?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:32.864752Z

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Observation ade06cd2-d1da-4df7-bcef-d76f4413c8ea · outbound

This paper cites Pro- ceedings of the National Academy of Sciences118(23), e2022239118 (2021).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Pro- ceedings of the National Academy of Sciences118(23), e2022239118 (2021)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:33.974822Z

Source-reported events for the cited work

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Observation b5ba6598-da72-4ee0-9a40-b09f151156c9 · outbound

This paper cites In- ternational journal of computer vision128, 336–359 (2020).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In- ternational journal of computer vision128, 336–359 (2020)

Reference 27

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Source-reported events for the cited work

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Observation 5d319e96-ec96-40f0-820c-d348e6eba380 · outbound

This paper cites Neural Computing and Applications34(16), 13951– 13968 (2022).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Neural Computing and Applications34(16), 13951– 13968 (2022)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:33.734767Z

Source-reported events for the cited work

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Observation 1ef939ea-e4f1-487d-942f-c72246880bf8 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T18:54:33.034913Z

Source-reported events for the cited work

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Observation 6a20c5c3-9b3e-432d-b33a-7a7235e6fc84 · outbound

This paper cites Plant Phenomics (2019).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Plant Phenomics (2019)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:54:33.510558Z

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Observation 63212854-c449-4f4c-ae87-6f049e24c362 · outbound

This paper cites Journal of Big data3, 1–40 (2016).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification Journal of Big data3, 1–40 (2016)

Reference 31

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 32

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Observation 1b51a94c-296d-412d-88f4-25beb64d2960 · outbound

This paper cites 246–253 (2023).

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification 246–253 (2023)

Reference 2023

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Pith citing papers

Observation 5c3d074e-8be9-497f-9fa2-1458788b8d85 · inbound

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models cites this paper.

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:55:59.804209Z

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Observation e0fd3b46-6a73-4953-9e60-1c6a43474b45 · inbound

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models cites this paper.

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.