Paper Citation Record · LEDGER

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2501.09363.

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

pith.paper-citation-record.v1
2501.09363 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:09:52.573398Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

22 of 22 outbound references displayed

verified exact8
verified fuzzy3
unresolved6
parse uncertain0
malformed identifier4
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dea7658-e395-4c50-9cae-9a4bffb77c81 · outbound

This paper cites Metabolites9 (2019).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Metabolites9 (2019)

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:09:53.214117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8be94250-f885-407d-affe-6b361b5f54ac · outbound

This paper cites Agronomy 12 (2022).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Agronomy 12 (2022)

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:09:53.202780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b81a5840-4e9a-4882-af1e-b91c5591dc9e · outbound

This paper cites Information (Switzerland) 14 (2023).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Information (Switzerland) 14 (2023)

Reference 3

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.698420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1549f1d6-19bd-4b53-8de6-9f031a88317e · outbound

This paper cites International Book Distributors, Dehradun, Uttarak- hand, India (2009).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset International Book Distributors, Dehradun, Uttarak- hand, India (2009)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:09:53.191683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6f7f133-983b-4d86-a002-9db5e870d9db · outbound

This paper cites an unresolved cited work.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:52.500489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60dff7d5-d85b-4861-9bd8-f3961d6acb26 · outbound

This paper cites https://doi.org/10.2139/ssrn.4804339.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset https://doi.org/10.2139/ssrn.4804339

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.687193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8af5a1f4-294a-4713-b17a-7fb58f742e67 · outbound

This paper cites IEEE Transactions on Neural Net- works and Learning Systems33 (2022).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset IEEE Transactions on Neural Net- works and Learning Systems33 (2022)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:52.510181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c054585e-e3b0-4273-9845-018933e64359 · outbound

This paper cites 12 11 (2023).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset 12 11 (2023)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:52.514977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8752dfd2-0d33-4d5b-a2ea-4d5fb56219c2 · outbound

This paper cites https://doi.org/10.17632/DTVBWRHZNZ.4.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset https://doi.org/10.17632/DTVBWRHZNZ.4

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.667158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3216e680-ad69-43b2-9fbd-f7af7b602e83 · outbound

This paper cites org/10.17632/748F8JKPHB.3.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset org/10.17632/748F8JKPHB.3

Reference 10

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.654722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95c7f395-7c14-47a7-9c45-60d788012a73 · outbound

This paper cites https://doi.org/10.1109/ GCITC60406.2023.10426044.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset https://doi.org/10.1109/ GCITC60406.2023.10426044

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:09:52.526303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672b3e4e-0706-4443-932e-548550e4d845 · outbound

This paper cites IEEE Access 9 (2021).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset IEEE Access 9 (2021)

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:09:52.923018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72c9fd96-5cd8-4e56-940b-bb1ac9d7eef8 · outbound

This paper cites Multimedia Tools and Applications (2023).https: //doi.org/10.1007/s11042-023-17311-8.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Multimedia Tools and Applications (2023).https: //doi.org/10.1007/s11042-023-17311-8

Reference 13

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.640337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88b387f3-3a64-47ec-8879-6e738ee48adf · outbound

This paper cites In: Saponara, S., De Gloria, A.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset In: Saponara, S., De Gloria, A

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:09:53.168451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 174180cb-16b2-43ed-8203-8b936a3cd764 · outbound

This paper cites an unresolved cited work.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:09:53.156023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11398f30-884a-45ac-8168-e1f33903024b · outbound

This paper cites Multimedia Tools and Applications (2023).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Multimedia Tools and Applications (2023)

Reference 16

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:09:53.130803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88ccccc4-8abe-42f1-9596-8e9e9e102a8e · outbound

This paper cites Knowledge-Based Systems (2024).https: //doi.org/https://doi.org/10.1016/j.knosys.2024.112147.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Knowledge-Based Systems (2024).https: //doi.org/https://doi.org/10.1016/j.knosys.2024.112147

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:52.554139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f00d3c08-f662-41cf-9d7e-8f50e995c35e · outbound

This paper cites Multimedia Tools and Applications82(2023).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Multimedia Tools and Applications82(2023)

Reference 18

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.628881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fa4824d-8ae1-4861-b36a-9a2e8c20d20f · outbound

This paper cites Wireless Personal Communications 131 (2023).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Wireless Personal Communications 131 (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:09:53.118233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79598d6d-3372-42fb-94fb-6754f7fa80f6 · outbound

This paper cites MATHEMATICS11(2023).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset MATHEMATICS11(2023)

Reference 20

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.618138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9451ff9d-0887-4e45-9281-7a22579929d5 · outbound

This paper cites Journal of Intelligent and Fuzzy Systems42(2022).

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Journal of Intelligent and Fuzzy Systems42(2022)

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T20:09:52.607084Z

Source-reported events for the cited work

retraction . Source: retraction watch record 63528, observed 2026-07-08T21:54:03.377117+00:00. This notice travels one citation hop only.

Observation c0e1a3d8-b859-49e8-b1f1-839f2a84b5de · outbound

This paper cites an unresolved cited work.

Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:09:53.104392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.