Paper Citation Record · LEDGER

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2506.22517.

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

pith.paper-citation-record.v1
2506.22517 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:31:35.681459Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy13
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db76c62c-049a-44a0-91f3-e033f490e27f · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis YOLOv11: An Overview of the Key Architectural Enhancements

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:19.301407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17819df1-2517-49c9-bf8d-9b9b2763be23 · outbound

This paper cites Yolo evolution: A comprehensive benchmark and architectural review of yolov12, yolo11, and their previous versions,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Yolo evolution: A comprehensive benchmark and architectural review of yolov12, yolo11, and their previous versions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:38.371179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff0a0899-f4f2-4173-aab3-dd46c86b60da · outbound

This paper cites an unresolved cited work.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:31:38.143449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3effaba-945d-4087-81cc-90e0b2367888 · outbound

This paper cites Robicheaux, M.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Robicheaux, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:37.854912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b605765-5e68-4660-a246-bfae1209f033 · outbound

This paper cites Two major improvement factors for Yolov12 – Area Attention and Residual Efficient Layer Aggregation Networks (R-ELAN).

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Two major improvement factors for Yolov12 – Area Attention and Residual Efficient Layer Aggregation Networks (R-ELAN)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:38.681091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf326000-6888-4ada-8267-f2dc5eebe3a1 · outbound

This paper cites an unresolved cited work.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:31:37.704495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41fd6ae1-5c81-4d91-9664-1a3dd48c546d · outbound

This paper cites Mikomel, Area Attention [Online].

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Mikomel, Area Attention [Online]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:37.620642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31d1a4b8-78f5-4160-8ba7-acae7bb8b90d · outbound

This paper cites Area attention,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Area attention,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:37.517005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aaebd9fa-c832-4587-b2d7-33465649940d · outbound

This paper cites RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:19.400830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff9d2177-9f16-49e2-ac62-6c482c77759d · outbound

This paper cites Comparative Analysis of Deep Learning Models for Honeybee and Threat Detection at Hive Entrances,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Comparative Analysis of Deep Learning Models for Honeybee and Threat Detection at Hive Entrances,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:37.337867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c26580c5-e227-4647-80fc-b7e685255539 · outbound

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

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis End-to-end object detection with transformers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:37.179306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 429749ff-8197-4767-a116-c95ca2c35e46 · outbound

This paper cites Automating container damage detection with the YOLO-NAS deep learning model,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Automating container damage detection with the YOLO-NAS deep learning model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:36.984055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 283802fa-607e-47a4-ab54-e656cd2816b1 · outbound

This paper cites Detection of waste containers using computer vision,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Detection of waste containers using computer vision,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:36.843249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1d4b11e-1d9c-415b-a372-f5a2d76cf9a1 · outbound

This paper cites Automatic damage-detecting system for port container gate based on AI,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Automatic damage-detecting system for port container gate based on AI,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:36.630221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fad24a1d-6ec3-40c0-93db-5b254bb440ff · outbound

This paper cites Development of the container damage inspection system.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Development of the container damage inspection system

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:36.404082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e46a953d-8bb7-4591-90d3-5fce65bcec0e · outbound

This paper cites Exploring the potential of climate-adaptive container building design under future climates scenarios in three different climate zones,.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Exploring the potential of climate-adaptive container building design under future climates scenarios in three different climate zones,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:36.250915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a461ea3e-8881-45f5-a5ba-3457ac9c18ba · outbound

This paper cites an unresolved cited work.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:31:36.096894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3434f483-3512-4af4-95b3-17ab5ab9bc0e · outbound

This paper cites Understanding of object detection based on CNN family and YOLO.

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis Understanding of object detection based on CNN family and YOLO

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:31:35.873293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.