Paper Citation Record · LEDGER

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.00133.

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

pith.paper-citation-record.v1
2502.00133 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:05:49.651277Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

36 of 36 outbound references displayed

verified exact3
verified fuzzy33
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51546e6f-2046-4fd3-acfe-3b3015b61bd0 · outbound

This paper cites Global patterns and trends in colorectal cancer incidence and mortality,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Global patterns and trends in colorectal cancer incidence and mortality,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.275489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4dfd7ee9-ab04-41b4-a646-652a784a83ee · outbound

This paper cites Early colorectal cancer detection with a spectroscopic liquid biopsy.,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Early colorectal cancer detection with a spectroscopic liquid biopsy.,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.259155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 48c903a9-9a75-4741-b9bb-0e759e8bb508 · outbound

This paper cites Deep learning local- izes and identifies polyps in real time with 96% accuracy in screening colonoscopy,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Deep learning local- izes and identifies polyps in real time with 96% accuracy in screening colonoscopy,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.243031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16750eca-ee56-4e7a-a1b0-5c6b29041769 · outbound

This paper cites Intracker: An integrated detector-tracker framework for cell detection and tracking,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Intracker: An integrated detector-tracker framework for cell detection and tracking,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.227256Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6fc9d9b7-3852-4e9b-ab3c-faacc9dfcaa0 · outbound

This paper cites Boosting Medical Image Classification with Segmentation Foundation Model.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Boosting Medical Image Classification with Segmentation Foundation Model

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-09T20:05:49.750184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1876d610-5fa7-4a9a-b1e5-0af178d55aee · outbound

This paper cites kCBAC-Net: Deeply supervised complete bipar- tite networks with asymmetric convolutions for medical image segmentation,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 kCBAC-Net: Deeply supervised complete bipar- tite networks with asymmetric convolutions for medical image segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.211881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d66e49c-0d0a-45fb-91c3-3b3524296c69 · outbound

This paper cites ConvFormer: Combining CNN and Transformer for medical image segmentation,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 ConvFormer: Combining CNN and Transformer for medical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.196670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc19ef59-dcd1-4e9f-a1e0-9c73f860a740 · outbound

This paper cites SwIPE: Efficient and robust medical image segmen- tation with implicit patch embeddings,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 SwIPE: Efficient and robust medical image segmen- tation with implicit patch embeddings,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.181915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f8284f6e-0c2a-4e9c-add5-47bb1d03e233 · outbound

This paper cites Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-09T20:05:49.721257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bf3b9ba-5490-431c-97f9-7162aa5802ec · outbound

This paper cites You only look once: Unified, real-time object detection,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 You only look once: Unified, real-time object detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.165567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7cd4c48-8ea8-4d92-a440-c799332c9fc1 · outbound

This paper cites Colorectal polyp detection in colonoscopy images using yolo-v8 network,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Colorectal polyp detection in colonoscopy images using yolo-v8 network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.150393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70883f7c-9ae7-46ae-a560-e7b9217d9c5d · outbound

This paper cites WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.134282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f257daf-06de-4a1f-a8d5-9f8d81d0929a · outbound

This paper cites Towards automatic polyp detection with a polyp appearance model,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Towards automatic polyp detection with a polyp appearance model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.117798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f45c551e-805a-491d-9a65-457abf141733 · outbound

This paper cites Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.102520Z

Source-reported events for the cited work

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Observation 9a70872c-f631-4fea-8b4d-3c3b1b9fb581 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Kvasir-seg: A segmented polyp dataset,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.086909Z

Source-reported events for the cited work

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Observation de43f9a5-dcc2-47ad-825a-68352f48e072 · outbound

This paper cites Unbiased look at dataset bias,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Unbiased look at dataset bias,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.071685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1155c14e-94c7-45eb-971f-3a23cc0e5438 · outbound

This paper cites Densely connected convolutional net- works,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Densely connected convolutional net- works,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.056686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6dce0880-29d7-443a-88d8-4a11c9d5d2e1 · outbound

This paper cites A survey on transfer learning,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 A survey on transfer learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.041118Z

Source-reported events for the cited work

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Observation ebd531f6-3eac-4405-a5c5-bacdcd7bdd3c · outbound

This paper cites Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteris- tics and transfer learning,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteris- tics and transfer learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.026036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e5025a74-27c6-4617-9d7a-a91c0075ad76 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Imagenet: A large-scale hierarchical image database,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:50.009511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8a6cd4b-e5fb-44eb-ba39-985365daedf2 · outbound

This paper cites Do better imagenet models transfer better?,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Do better imagenet models transfer better?,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.992487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99b531f5-56e3-4a77-9c81-93a897b0201f · outbound

This paper cites Exploring deep learning and transfer learning for colonic polyp classification,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Exploring deep learning and transfer learning for colonic polyp classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.975290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 07f963e4-3f62-4006-b5b1-d293e12b5808 · outbound

This paper cites Towards Alzheimer’s disease classification through transfer learning,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Towards Alzheimer’s disease classification through transfer learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.956835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ddb3dc54-1b13-4778-9814-48013561fbcb · outbound

This paper cites Transfer learning from a sparsely annotated dataset of 3D medical images.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Transfer learning from a sparsely annotated dataset of 3D medical images

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-09T20:05:49.697743Z

Source-reported events for the cited work

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Observation 8cdd3468-b03b-45ff-a6ef-4e99cad143cf · outbound

This paper cites Labeled mri brain tumor dataset.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Labeled mri brain tumor dataset

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.940885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0c5c9b6e-e9f2-4a59-9d2a-8f7a08bd4ce5 · outbound

This paper cites Acne dataset in yolov8 format.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Acne dataset in yolov8 format

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.925721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3157da01-7c1f-48f4-9efd-ee17821ab221 · outbound

This paper cites Fruits & vegetable detection for yolov4.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Fruits & vegetable detection for yolov4

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.910926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aff276f1-b2ea-4dce-bde0-96b523eb3424 · outbound

This paper cites Microsoft coco: Common objects in context,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Microsoft coco: Common objects in context,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.895245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d7efa73b-cdf8-4223-981d-26a8d1d343bb · outbound

This paper cites HAM1000 Segmentation and Classification.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 HAM1000 Segmentation and Classification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.879318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7755388-7d68-4143-a3a3-e5fd6c9c44e2 · outbound

This paper cites MRI for brain tumor with bounding boxes.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 MRI for brain tumor with bounding boxes

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.864472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0157528-d8f0-4cf6-9ff3-874f50c87888 · outbound

This paper cites Brain Tumor Dataset.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Brain Tumor Dataset

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.849246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22e0a3e3-5e17-4048-8943-5d854123cf07 · outbound

This paper cites Brain Tumor YOLO.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Brain Tumor YOLO

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.832369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9acac7b6-ff25-4ca1-8a4d-c30c199fc474 · outbound

This paper cites Brian Tumor Dataset.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Brian Tumor Dataset

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.816558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b44160e-961e-410d-a5ac-7acdb79673a2 · outbound

This paper cites Fruit Detection.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Fruit Detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.799937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55bcb2b9-2155-482b-af19-963b26d31674 · outbound

This paper cites Ultralytics yolov8,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Ultralytics yolov8,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.783208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44639c8a-e5b9-4500-8a34-b994f3e7c84b · outbound

This paper cites Adam: A method for stochastic optimization,.

Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8 Adam: A method for stochastic optimization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:05:49.767092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.