Paper Citation Record · LEDGER

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.17727.

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

pith.paper-citation-record.v1
2507.17727 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:46.641839Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy19
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ed49115-8651-4f29-b6e9-bfedbd123ccf · outbound

This paper cites Demonstrating cropfollow++: Robust under-canopy navigation with keypoints,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Demonstrating cropfollow++: Robust under-canopy navigation with keypoints,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:50.652285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6e3179f-1765-470c-8328-604c84f2c346 · outbound

This paper cites Appli- cations of machine vision in agricultural robot navigation: A review,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Appli- cations of machine vision in agricultural robot navigation: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:50.420452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4cac94c-e148-42fc-8243-9dde4009c82b · outbound

This paper cites Improved regularization of convolutional neural networks with cutout,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Improved regularization of convolutional neural networks with cutout,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:50.190008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1168ff06-0e0b-4a7b-85e3-5e25fc0699cc · outbound

This paper cites Towards infield navigation: leveraging simulated data for crop row detection,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Towards infield navigation: leveraging simulated data for crop row detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:49.984199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 963e0d41-42ee-4d34-9d25-72041414aad2 · outbound

This paper cites Colorful cutout: Enhancing image data augmentation with curriculum learning,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Colorful cutout: Enhancing image data augmentation with curriculum learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:49.786571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15c6d8ff-9058-4124-889e-2a4083e47881 · outbound

This paper cites Cutpaste: Self- supervised learning for anomaly detection and localization,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Cutpaste: Self- supervised learning for anomaly detection and localization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:49.542345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d579eeef-13c5-4293-bb0b-3f395904a7fa · outbound

This paper cites High-precision wheat head detection model based on one-stage network and gan model,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation High-precision wheat head detection model based on one-stage network and gan model,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:49.315707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e26f3d83-2a45-4829-b97c-9085fe9517fe · outbound

This paper cites Bbox- cut: A targeted data augmentation technique for enhancing wheat head detection under occlusions,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Bbox- cut: A targeted data augmentation technique for enhancing wheat head detection under occlusions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:49.140836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96b821d3-a9f9-41d5-a9aa-f36271a5b3d5 · outbound

This paper cites Learned visual navigation for under-canopy agricultural robots,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Learned visual navigation for under-canopy agricultural robots,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:48.967501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bfac3fdd-8a9b-4c8e-91b9-3547678d163e · outbound

This paper cites Deep learning-based crop row detection for infield navigation of agri-robots,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Deep learning-based crop row detection for infield navigation of agri-robots,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:48.812357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1759960-75e8-4ea7-b395-7e9f4c1295d1 · outbound

This paper cites Deep semantic segmentation at the edge for autonomous navigation in vineyard rows,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Deep semantic segmentation at the edge for autonomous navigation in vineyard rows,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:48.627288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95602ddc-5e21-43ad-8309-8cbb0505042d · outbound

This paper cites U-net: Convo- lutional networks for biomedical image segmentation,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation U-net: Convo- lutional networks for biomedical image segmentation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:45.822807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71708e5b-fbb3-4818-88a0-7d383bea0561 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Cutmix: Regularization strategy to train strong classifiers with localizable features,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:48.398613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65d20d0b-524a-4ebe-9dd6-3304db080c0f · outbound

This paper cites Self-supervised representation learning for reliable robotic monitoring of fruit anomalies,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Self-supervised representation learning for reliable robotic monitoring of fruit anomalies,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:48.152876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02d1a457-cb97-40ca-84eb-e563daf499f1 · outbound

This paper cites Image-based size estimation of broccoli heads under varying degrees of occlusion,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Image-based size estimation of broccoli heads under varying degrees of occlusion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:47.938821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 035d9363-e87e-4116-837b-04bad4874b31 · outbound

This paper cites T-leap: Occlusion-robust pose estimation of walking cows using tem- poral information,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation T-leap: Occlusion-robust pose estimation of walking cows using tem- poral information,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:47.669809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db00b1fe-e4a6-4f60-94a1-194bcd3303f1 · outbound

This paper cites What to hide from your students: Attention-guided masked image modeling,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation What to hide from your students: Attention-guided masked image modeling,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:47.428913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37c38f46-dd38-4016-9d92-c6510a553069 · outbound

This paper cites Eroding and dilating,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Eroding and dilating,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:47.213092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4d372b4b-131e-4f79-b959-8fae42c19670 · outbound

This paper cites Deep residual learning for image recognition,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation Deep residual learning for image recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:47.030212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31ba76a3-b2be-40a1-a0d7-a29049ec603e · outbound

This paper cites End-to- end res-unet based reconstruction algorithm for photoacoustic imaging,.

CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation End-to- end res-unet based reconstruction algorithm for photoacoustic imaging,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:43:46.826957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.