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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.203523Z digest=sha256:cbb4d4cf6419f295167749836683c950c5ffad34e298f09118b2a2ca209f26e6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.207523Z digest=sha256:5e0800d717e6bc066757400d1078af9869532f5970c47dbd0998d5db0365ac00

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.211311Z digest=sha256:7b62ecb185b7f5a70cefc12e5188d04d127972913f8866c7dcf8c2e5f493263c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.219954Z digest=sha256:3674bde68a699defa6dd5f761304cbb95c5c54bddf1d6589462c5027397335c3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.223920Z digest=sha256:2d2e2a8310ba9336e4c409986d8d4ce818f6c130e417006db1ec5e0ecce15cce

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.227512Z digest=sha256:7117bb4cb684da5260e3e13b220abf1650e6973aca63e69e28f1993faa958d27

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=sha256:1d2207b8e9d02ced7bbaad36a3494912ebfbeb7543317c8da4e494f14ab02d48

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.235210Z digest=sha256:37c896ddadc61e3523fe457212ca313b88a640b2ccb9c6e32a97fb8d61744dc1

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:e4642e13ab4fa2e56670277e91e887a213222842b28a583e764d466869ff371c

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:e50da5df842d439f1da94634bcd56126dbfe52a3f390a36c000d9bf7ab1e1c92

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=sha256:15263f304554e51e5dd61f840a9e9cd3f75ba6b839e4265a1c1745595d841ac1

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=sha256:34ed2ed10ac2d2cbe0e3c83919c1dd2610e57b223815d1170243da70808d611f

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:fcb14150cc9860675aff82238aac1140411594356b7e555d6becd3fcb4d65f0d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.257286Z digest=sha256:4f0daec84a7e7197606c8aef7c14e080f4c8f20c9e7682ce6f1de0bd17e44bba

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:20:17.215544Z digest=sha256:868ec97731088883e86d24e4a75c85245da1a1613f18a968de716141bd0cb685

Pith citing papers

No inbound Pith citation observations are available.