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Paper Citation Record · LEDGER

Handling imbalance and few-sample size in ML based Onion disease classification

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.05341.

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

pith.paper-citation-record.v1
2509.05341 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:20:17.257286Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

15 of 15 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2df79d54-3762-4a2c-b872-bd6f38fbab35 · outbound

This paper cites FAO- STAT: Crops and livestock products – Onion production by coun- try,.

Handling imbalance and few-sample size in ML based Onion disease classification FAO- STAT: Crops and livestock products – Onion production by coun- try,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:20:17.766802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.203523Z digest=sha256:67adc1a533c7e51f50c07b94aae1d943c0c05ecae0aef1f8dcd81ab8b9eec3f0

Observation ed4bf84d-e0bd-4445-9261-f9dff8f54d2a · outbound

This paper cites Detection of Onion Leaf Disease Using Hybridized Feature Extraction and Feature Selection Approach,.

Handling imbalance and few-sample size in ML based Onion disease classification Detection of Onion Leaf Disease Using Hybridized Feature Extraction and Feature Selection Approach,

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-05T12:20:17.730005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.207523Z digest=sha256:409d3f28a9ae91df6c46dff458283b78364b9f8c2a65532dc796b5f1f7c0f91f

Observation ba77d7f1-ee82-46ce-aa0d-d9588638619e · outbound

This paper cites YOLO-ODD: An improved YOLOv8s model for onion foliar disease detection,.

Handling imbalance and few-sample size in ML based Onion disease classification YOLO-ODD: An improved YOLOv8s model for onion foliar disease detection,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:20:17.758657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.211311Z digest=sha256:cb384c830428223c8f7929206f9a362aedde7552792836b01a00bec180df911b

Observation 1bd9c761-a3fe-4346-94b0-ef8f46662b6a · outbound

This paper cites Comparative analysis of different plant leaf disease classification and detection using CNN,.

Handling imbalance and few-sample size in ML based Onion disease classification Comparative analysis of different plant leaf disease classification and detection using CNN,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-05T12:20:17.570470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.219954Z digest=sha256:caa2680cfcf5bc1549707cbf1c6a5dd30e4aff451b388485b78ee55645825e06

Observation 035fa69b-4300-4e2d-8531-66d9be8739b7 · outbound

This paper cites Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neu- ral Networks,.

Handling imbalance and few-sample size in ML based Onion disease classification Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neu- ral Networks,

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T12:20:17.486083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.223920Z digest=sha256:c049ba8bcb948e603dc3be73aefd528a3f6206101ae05f180406cc88ef47eb1c

Observation a0258746-e3e7-44c1-9ba0-4957956636ee · outbound

This paper cites Imbalanced Dataset Sampler,.

Handling imbalance and few-sample size in ML based Onion disease classification Imbalanced Dataset Sampler,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:20:17.749774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.227512Z digest=sha256:8edc57def9e8f2b7a5db8da59ab651324369a0605293c25e2ad39151d2f1e25f

Observation 339faae2-2b0a-4950-bfc5-1adbef02bd7c · outbound

This paper cites Albumentations: fast and flexible image augmentations.

Handling imbalance and few-sample size in ML based Onion disease classification Albumentations: fast and flexible image augmentations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T12:20:17.231036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:20:17.231036Z digest=sha256:eb54122c1e200d6baecfec4a69243f4d744d04d29aa564c4557defb4b1d3f3c1

Observation cc9bb7fc-058d-4b12-a524-77e74009d727 · outbound

This paper cites CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features,.

Handling imbalance and few-sample size in ML based Onion disease classification CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:20:17.740230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.235210Z digest=sha256:8b6edd13148131b175fc3fba5df67fecff648067d70b87607f7fa1b60dec0936

Observation 243f13f0-e851-4536-a181-c8e5e929e75a · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Handling imbalance and few-sample size in ML based Onion disease classification Deep Residual Learning for Image Recognition,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T12:20:17.238562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:20:17.238562Z digest=sha256:2fee8430c417e6cda9b0c89329e019699fa4e01a181e74ea531e001b71edd196

Observation f60388f3-01f2-4063-9b01-2da8eeef82d7 · outbound

This paper cites Densely Connected Convolutional Networks,.

Handling imbalance and few-sample size in ML based Onion disease classification Densely Connected Convolutional Networks,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T12:20:17.242537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:20:17.242537Z digest=sha256:6b802e0fdbcc0509057ef8bc3ee399352ae5c4927dcd91476ea12b5be3b7f4aa

Observation 38f40046-896b-4d01-aa23-b4eb739d8077 · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

Handling imbalance and few-sample size in ML based Onion disease classification ImageNet: A Large-Scale Hierarchical Image Database,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T12:20:17.245763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:20:17.245763Z digest=sha256:4d411c65ef5b4d88718268ac61efb1715e5415428a40fb52c163dc0cb3f9edc4

Observation ff65c9df-96f8-4dd9-8ef0-0a5f4225b0c7 · outbound

This paper cites CBAM: Convolutional Block Attention Module.

Handling imbalance and few-sample size in ML based Onion disease classification CBAM: Convolutional Block Attention Module

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T12:20:17.248919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:20:17.248919Z digest=sha256:e03eee013acdda87c25f7144e4dc99894c2c9e147973194f8bc05ce2afec51df

Observation 1182e8df-6133-47c7-81f4-71e0c557684a · outbound

This paper cites Focal Loss for Dense Object Detection.

Handling imbalance and few-sample size in ML based Onion disease classification Focal Loss for Dense Object Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T12:20:17.252987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:20:17.252987Z digest=sha256:f5e5e13568c3e8aa4b887f12b0272ced7eea96f1591a0c5fef5d7c87c334e342

Observation 9ca8cf9a-10a7-4bdd-8e55-9dccea34137c · outbound

This paper cites Anthracnose of Onion (Allium cepa L.): A Twister Disease,.

Handling imbalance and few-sample size in ML based Onion disease classification Anthracnose of Onion (Allium cepa L.): A Twister Disease,

Reference 14

Resolution
verified exact
doi, observed 2026-08-05T12:20:17.288692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.257286Z digest=sha256:0fa25ca607c7e56e54c9bc001ef481324561f0a596691174f730eb8d680979d2

Observation 7135d8c8-a9d1-4801-a327-1ff2efec8feb · outbound

This paper cites an unresolved cited work.

Handling imbalance and few-sample size in ML based Onion disease classification Unresolved cited work

Reference 2025

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T12:20:17.651521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:20:17.215544Z digest=sha256:ac4eb13800f2005ca1d24a4df7385f2858d6f0d69b80de976e5ed70c281167a5

Pith citing papers

No inbound Pith citation observations are available.