Paper Citation Record · LEDGER

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X

As of 14 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2412.16624.

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

pith.paper-citation-record.v1
2412.16624 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:25:57.834703Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

11 of 11 outbound references displayed

verified exact1
verified fuzzy3
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fdad7dd-53d4-42cf-9bcf-89b04cc98d93 · outbound

This paper cites End-to-end object detection with transformers.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X End-to-end object detection with transformers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:25:58.114637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ef80820-45e3-4150-b6ec-6892462e1f8c · outbound

This paper cites Auto-wcebleedgen version v1 and v2: Challenge, datasets and evaluation.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Auto-wcebleedgen version v1 and v2: Challenge, datasets and evaluation

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-11T10:25:57.806622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7043ff-cc78-49a5-83b8-38a58616d6cc · outbound

This paper cites Autowcebleedgen-test dataset (improved), February 2024.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Autowcebleedgen-test dataset (improved), February 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:25:58.106280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35e11d00-fea4-4da2-b85e-b0112d03c477 · outbound

This paper cites Deep residual learning for image recognition.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Deep residual learning for image recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:57.813357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60804581-a64e-487d-9057-73f53f6e3569 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:57.816325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867c90fe-af54-46ea-9192-99b574d07e1a · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:57.819701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb63314-8320-4cf6-a463-f485f3a2f80d · outbound

This paper cites Wce- bleedgen: A wireless capsule endoscopy dataset containing bleeding and non-bleeding frames, November 2023.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Wce- bleedgen: A wireless capsule endoscopy dataset containing bleeding and non-bleeding frames, November 2023

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T10:25:57.856984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f3a9029-e5e2-4810-8949-bac83b93196e · outbound

This paper cites Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:25:58.098293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0a6844c-1310-4cbf-a915-8dde16960475 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:57.828928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33375def-1b74-4fac-a384-5adb7c1fb2e7 · outbound

This paper cites Yolov8: A novel object detection algorithm with en- hanced performance and robustness.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Yolov8: A novel object detection algorithm with en- hanced performance and robustness

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:57.832141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aab85b7e-1846-4b81-8f59-888fa9d76af5 · outbound

This paper cites an unresolved cited work.

Automated Bleeding Detection and Classification in Wireless Capsule Endoscopy with YOLOv8-X Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:57.834703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.