Paper Citation Record · LEDGER

COT-AD: Cotton Analysis Dataset

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2507.18532.

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

pith.paper-citation-record.v1
2507.18532 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:26.770775Z

measured 40 of 40 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:26.552038Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:35:27.002636Z

Reference resolution

39 of 39 outbound references displayed

verified exact2
verified fuzzy32
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c60ffa63-9220-4575-9e69-d039c4a7bd42 · outbound

This paper cites COT-AD: Cotton Analysis Dataset.

COT-AD: Cotton Analysis Dataset COT-AD: Cotton Analysis Dataset

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:35:27.008146Z

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.

Observation 5b80b0fd-b2a8-4a43-a409-0d7c0efb2514 · outbound

This paper cites While the first two focus on leaf images, the third provides a broader scope by including both leaf and whole-plant images.

COT-AD: Cotton Analysis Dataset While the first two focus on leaf images, the third provides a broader scope by including both leaf and whole-plant images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.618073Z

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.

Observation 71c74ef5-90bc-4be5-86e9-cb3fdc09d51b · outbound

This paper cites It includes high-resolution aerial imagery collected at altitudes of [10m, 15m, and 115m] and detailed close-up images from handheld DSLR cameras.

COT-AD: Cotton Analysis Dataset It includes high-resolution aerial imagery collected at altitudes of [10m, 15m, and 115m] and detailed close-up images from handheld DSLR cameras

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.600982Z

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.

Observation 7c16b877-bc4c-4669-8133-61a7cc56a56d · outbound

This paper cites We also provide additional results in the supple- mentary files.

COT-AD: Cotton Analysis Dataset We also provide additional results in the supple- mentary files

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.582696Z

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.

Observation 4e7487ad-0454-4b14-bfd2-8ff646acb3bd · outbound

This paper cites This dataset enables exten- sive applications such as classification, segmentation, and restoration by encompassing aerial and close-up images across various growth stages.

COT-AD: Cotton Analysis Dataset This dataset enables exten- sive applications such as classification, segmentation, and restoration by encompassing aerial and close-up images across various growth stages

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.550252Z

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.

Observation ce3b4418-4060-42ce-8f52-18fcf1cc1b79 · outbound

This paper cites an unresolved cited work.

COT-AD: Cotton Analysis Dataset Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:35:27.533987Z

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.

Observation e4fd1189-fcf4-44b2-b59c-afe2810de6b1 · outbound

This paper cites Language-driven artistic style transfer,.

COT-AD: Cotton Analysis Dataset Language-driven artistic style transfer,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.413098Z

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.

Observation ef0aa75b-9306-4bcf-b544-9b9797793ce6 · outbound

This paper cites Yield estimation of high-density cotton fields using low- altitude uav imaging and deep learning,.

COT-AD: Cotton Analysis Dataset Yield estimation of high-density cotton fields using low- altitude uav imaging and deep learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.517004Z

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.

Observation ba333d78-e822-4da2-8b7b-e0a5fd3ca0f5 · outbound

This paper cites A comprehensive cotton leaf disease dataset for enhanced detection and classifi- cation,.

COT-AD: Cotton Analysis Dataset A comprehensive cotton leaf disease dataset for enhanced detection and classifi- cation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.499813Z

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.

Observation f08f5d04-8345-4c8f-9913-890a8811a264 · outbound

This paper cites A dataset of cotton leaf images for disease classification us- ing deep learning,.

COT-AD: Cotton Analysis Dataset A dataset of cotton leaf images for disease classification us- ing deep learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.482665Z

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.

Observation 50e18c64-1273-4aae-829a-441cd6713606 · outbound

This paper cites Cotton leaf dis- ease dataset,.

COT-AD: Cotton Analysis Dataset Cotton leaf dis- ease dataset,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.466337Z

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.

Observation 65eb11ae-2034-418e-af9e-a92757e7af38 · outbound

This paper cites Yoloweeds: A novel benchmark of yolo object detec- tors for multi-class weed detection in cotton production systems,.

COT-AD: Cotton Analysis Dataset Yoloweeds: A novel benchmark of yolo object detec- tors for multi-class weed detection in cotton production systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.449050Z

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.

Observation 9acf5b0b-8d71-4803-b978-00256acd5324 · outbound

This paper cites Multimodality-guided image style transfer using cross-modal gan inversion,.

COT-AD: Cotton Analysis Dataset Multimodality-guided image style transfer using cross-modal gan inversion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.431554Z

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.

Observation 0d845103-705a-4ae0-b244-d97a69a81a2f · outbound

This paper cites Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization,.

COT-AD: Cotton Analysis Dataset Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.294641Z

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.

Observation 4a27057d-2ac5-4f48-8e51-3a6cdf65497d · outbound

This paper cites Aespa-net: Aesthetic pattern-aware style transfer networks,.

COT-AD: Cotton Analysis Dataset Aespa-net: Aesthetic pattern-aware style transfer networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.394747Z

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.

Observation d31a6e90-f303-4f68-87e0-fc61c0078b4c · outbound

This paper cites Cliptone: Unsupervised learning for text-based image tone adjustment,.

COT-AD: Cotton Analysis Dataset Cliptone: Unsupervised learning for text-based image tone adjustment,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.378335Z

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.

Observation 3865c442-bce3-4aec-a753-ae38b0ba16d9 · outbound

This paper cites Arniqa: Learning distortion manifold for image quality assessment,.

COT-AD: Cotton Analysis Dataset Arniqa: Learning distortion manifold for image quality assessment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.362866Z

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.

Observation 38b38400-f7a3-4e6c-9f55-fa18f3545f86 · outbound

This paper cites Blind/referenceless image spatial quality evaluator,.

COT-AD: Cotton Analysis Dataset Blind/referenceless image spatial quality evaluator,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.345035Z

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.

Observation 9ebd56f6-b59e-436a-a8cc-35fa99436161 · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

COT-AD: Cotton Analysis Dataset Exploring clip for assessing the look and feel of images,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.329062Z

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.

Observation 7b67200f-b701-4138-9b96-02f034fea068 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning,.

COT-AD: Cotton Analysis Dataset Clipscore: A reference-free evaluation metric for image captioning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.311130Z

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.

Observation fc011ce6-db88-46c4-b146-f2201ba0c83f · outbound

This paper cites Bayesian Image Reconstruction using Deep Generative Models.

COT-AD: Cotton Analysis Dataset Bayesian Image Reconstruction using Deep Generative Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:35:26.984496Z

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.

Observation c891c5e0-85a0-4eaf-b5ae-f88ee1549cca · outbound

This paper cites Nima: Neural im- age assessment,.

COT-AD: Cotton Analysis Dataset Nima: Neural im- age assessment,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.278862Z

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.

Observation 11f097de-a771-4ac3-8473-b0dcb9aa4ecd · outbound

This paper cites Clipstyler: Image style transfer with a single text condition,.

COT-AD: Cotton Analysis Dataset Clipstyler: Image style transfer with a single text condition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.262047Z

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.

Observation 003bc1d8-fcbb-4424-9d80-560bb9dcca98 · outbound

This paper cites Exploring regional clues in clip for zero-shot se- mantic segmentation,.

COT-AD: Cotton Analysis Dataset Exploring regional clues in clip for zero-shot se- mantic segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.245770Z

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.

Observation 2e504f99-caa2-48f4-be69-34158d8ade98 · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision,.

COT-AD: Cotton Analysis Dataset Learning transferable visual models from natural lan- guage supervision,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.230032Z

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.

Observation f0d66653-e6bc-4e52-b0f2-fa6cdbe1197a · outbound

This paper cites Bioclip: A vision founda- tion model for the tree of life,.

COT-AD: Cotton Analysis Dataset Bioclip: A vision founda- tion model for the tree of life,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.213213Z

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.

Observation aeaf42ab-0c0e-4bcf-bf4c-a5bb9e88c3ee · outbound

This paper cites A compar- ison between vgg16, vgg19 and resnet50 architecture frameworks for image classification,.

COT-AD: Cotton Analysis Dataset A compar- ison between vgg16, vgg19 and resnet50 architecture frameworks for image classification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.196820Z

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.

Observation 5a9756c9-02a2-4366-b174-5fd9eb768226 · outbound

This paper cites Ro- bust unsupervised stylegan image restoration,.

COT-AD: Cotton Analysis Dataset Ro- bust unsupervised stylegan image restoration,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.178376Z

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.

Observation bf1862e8-73ad-491b-a14d-c2d68eaae666 · outbound

This paper cites The aerial images offer extensive coverage suitable for detection and seg- mentation tasks, aiding in the analysis of crop growth and land use efficiency.

COT-AD: Cotton Analysis Dataset The aerial images offer extensive coverage suitable for detection and seg- mentation tasks, aiding in the analysis of crop growth and land use efficiency

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:35:26.956661Z

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.

Observation 15615a8c-bf5b-452d-a506-06d31adc0c3a · outbound

This paper cites Advancements in crop management and sustainable practices will be essential to en- sure adequate food supplies.

COT-AD: Cotton Analysis Dataset Advancements in crop management and sustainable practices will be essential to en- sure adequate food supplies

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.161812Z

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.

Observation 25e35ec7-89c4-4dd5-bd99-70acf86ca69e · outbound

This paper cites This is because we are using only 100 image points to train the classifier, and CLIP (ViT) is getting overfitted, which uses more parameters than RN50.

COT-AD: Cotton Analysis Dataset This is because we are using only 100 image points to train the classifier, and CLIP (ViT) is getting overfitted, which uses more parameters than RN50

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.566399Z

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.

Observation cab7b563-a0e4-4afa-b30e-3f39702e9f7f · outbound

This paper cites In smart farming, accurately detecting crops is essential for enhanc- ing agricultural productivity and sustainability.

COT-AD: Cotton Analysis Dataset In smart farming, accurately detecting crops is essential for enhanc- ing agricultural productivity and sustainability

Reference 33

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T14:35:27.145570Z

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.

Observation 5094d216-d9fe-4cac-9f4d-12c4dc5be4d9 · outbound

This paper cites Using drone technology, we conducted aerial surveys of two cotton fields throughout their life cycle.

COT-AD: Cotton Analysis Dataset Using drone technology, we conducted aerial surveys of two cotton fields throughout their life cycle

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.129036Z

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.

Observation 04fc3fab-6b38-4017-914e-9b218a8f3a60 · outbound

This paper cites It has GNSS connectivity of GPS + GLONASS + Galileo constellations.

COT-AD: Cotton Analysis Dataset It has GNSS connectivity of GPS + GLONASS + Galileo constellations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.111987Z

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.

Observation 893069ab-2dc6-4fbb-8cb0-8ed93f5278a9 · outbound

This paper cites This analysis helps understand the dataset in greater depth as it curates the crops across its growth stages throughout the season.

COT-AD: Cotton Analysis Dataset This analysis helps understand the dataset in greater depth as it curates the crops across its growth stages throughout the season

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.095426Z

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.

Observation c259a882-a125-461b-8cd9-7d2e860e83aa · outbound

This paper cites an unresolved cited work.

COT-AD: Cotton Analysis Dataset Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:35:27.076792Z

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.

Observation 6c90caef-9015-4555-8b9e-7dd4da520ec7 · outbound

This paper cites an unresolved cited work.

COT-AD: Cotton Analysis Dataset Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:35:27.059228Z

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.

Observation 3995a66e-66fc-43cf-badd-49c65818f662 · outbound

This paper cites • Part B: Data from the third month.

COT-AD: Cotton Analysis Dataset • Part B: Data from the third month

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.042968Z

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.

Observation 25077e3e-3a1b-443e-9d91-fd5b37cf7e4a · outbound

This paper cites See the result in Table 12.

COT-AD: Cotton Analysis Dataset See the result in Table 12

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:27.025300Z

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.

Pith citing papers

Observation c60ffa63-9220-4575-9e69-d039c4a7bd42 · inbound