Paper Citation Record · LEDGER

Advancing Utility Pole and Sign Detection Through Deep Learning

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.04061.

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

pith.paper-citation-record.v1
2608.04061 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:53:07.941567Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 exact2
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier4
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 004e44f1-1ecd-4948-aaa9-0dc71652761a · outbound

This paper cites ac.uk/user-guide/.

Advancing Utility Pole and Sign Detection Through Deep Learning ac.uk/user-guide/

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:53:08.515309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 676c9bf7-1742-4e8d-b4b7-cc7b51f1e578 · outbound

This paper cites an unresolved cited work.

Advancing Utility Pole and Sign Detection Through Deep Learning Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-15T14:53:08.022703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c27fc164-f495-4dd0-825b-15bf61ff4ec8 · outbound

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

Advancing Utility Pole and Sign Detection Through Deep Learning End-to-end object detection with transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.870141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e9aaa8-f079-4e06-b111-e38ee91054ed · outbound

This paper cites Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V.

Advancing Utility Pole and Sign Detection Through Deep Learning Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.875524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0e3950-9a45-4194-aca7-ce1a2679697e · outbound

This paper cites OHL-UK: Wooden utility pole and electrical sign corpus with trained detection and segmentation models, 2025.

Advancing Utility Pole and Sign Detection Through Deep Learning OHL-UK: Wooden utility pole and electrical sign corpus with trained detection and segmentation models, 2025

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:53:08.498338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b6411a83-b792-48b8-9f27-5f48668c3923 · outbound

This paper cites The VIA Annotation Software for Images, Audio and Video.

Advancing Utility Pole and Sign Detection Through Deep Learning The VIA Annotation Software for Images, Audio and Video

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.885243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58811060-bcd0-4175-be0a-220ab4b6149e · outbound

This paper cites Review and latest trends in mobile robots used on power transmission lines.International Journal of Advanced Robotic Systems, 10: 1–14, 2013.10.5772/56791.

Advancing Utility Pole and Sign Detection Through Deep Learning Review and latest trends in mobile robots used on power transmission lines.International Journal of Advanced Robotic Systems, 10: 1–14, 2013.10.5772/56791

Reference 7

Resolution: malformed identifier; doi_truncated, observed 2026-08-15T14:53:07.995834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f123b0d9-174b-4098-95df-85d0209ce5f1 · outbound

This paper cites an unresolved cited work.

Advancing Utility Pole and Sign Detection Through Deep Learning Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-15T14:53:07.979692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca55e340-d7cc-45d5-8286-b6f920bb8cac · outbound

This paper cites Deep inspection: An electrical distribution pole parts study VIA deep 12DICKINSON & DI CA TERINA: UTILITY POLE AND W ARNING SIGN DETECTION neural networks.

Advancing Utility Pole and Sign Detection Through Deep Learning Deep inspection: An electrical distribution pole parts study VIA deep 12DICKINSON & DI CA TERINA: UTILITY POLE AND W ARNING SIGN DETECTION neural networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.900662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a7db5d-2431-4ad5-a046-6ea4bffd9167 · outbound

This paper cites Learning data augmentation with online bilevel optimization for image classification.

Advancing Utility Pole and Sign Detection Through Deep Learning Learning data augmentation with online bilevel optimization for image classification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.905013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3cf87e4-02c0-43c2-a49f-1646b5f2ac1f · outbound

This paper cites Adithya, Tanima Dutta, and P.

Advancing Utility Pole and Sign Detection Through Deep Learning Adithya, Tanima Dutta, and P

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.909838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc50652-7e21-4c1c-846b-7727303cb33c · outbound

This paper cites Future smart: Consultation report.

Advancing Utility Pole and Sign Detection Through Deep Learning Future smart: Consultation report

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:53:08.480528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f622f28-da26-40a0-8c2b-2cafc3537beb · outbound

This paper cites google_streetview: Google street view image api command-line tool and python module (v1.2.3).https://rrwen.github.io/google_ streetview/.

Advancing Utility Pole and Sign Detection Through Deep Learning google_streetview: Google street view image api command-line tool and python module (v1.2.3).https://rrwen.github.io/google_ streetview/

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:53:08.462746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 465e271d-ca36-4293-9511-d3794da26a4e · outbound

This paper cites an unresolved cited work.

Advancing Utility Pole and Sign Detection Through Deep Learning Unresolved cited work

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:53:08.445680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dde83591-3372-4a0b-acd7-88911d44e173 · outbound

This paper cites What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector.

Advancing Utility Pole and Sign Detection Through Deep Learning What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.927989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 654210e4-92e2-4cf4-a7a3-bf0d630670e9 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Advancing Utility Pole and Sign Detection Through Deep Learning DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T14:53:07.932611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa8e5f65-08f4-4c3b-9ae2-8e9c374f171f · outbound

This paper cites Using deep learning to identify utility poles with crossarms and estimate their locations from google street view images.Sensors, 18(8):2484, 2018.10.3390/ s18082484.

Advancing Utility Pole and Sign Detection Through Deep Learning Using deep learning to identify utility poles with crossarms and estimate their locations from google street view images.Sensors, 18(8):2484, 2018.10.3390/ s18082484

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:53:08.428754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ccc56c80-e4d0-4dbb-a9c6-ee800f16fcf5 · outbound

This paper cites Automatic utility pole inclination angle measurement using unmanned aerial vehicle and deep learning.

Advancing Utility Pole and Sign Detection Through Deep Learning Automatic utility pole inclination angle measurement using unmanned aerial vehicle and deep learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:53:08.409929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.