Pith. sign in

Paper Citation Record · LEDGER

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors

As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.06573.

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

pith.paper-citation-record.v1
2505.06573 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:47.015157Z

measured 25 of 25 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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5416a727-a93c-4c3b-bb19-ba5e450a25aa · outbound

This paper cites Development of a safety-and energy-aware impedance controller for collaborative robots,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Development of a safety-and energy-aware impedance controller for collaborative robots,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.262645Z

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.

source=pdf_text observed=2026-08-15T22:42:46.942712Z digest=sha256:76b14123a2ca2169f15b6dc493e474a8a91dbbdaaa541ca8e7b55ffa49b6a768

Observation 81d8d4c9-215c-4007-a191-40b049885522 · outbound

This paper cites Mono-camera based simultaneous obstacle recognition and distance estimation for obstacle avoidance of power transmission lines inspection robot,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Mono-camera based simultaneous obstacle recognition and distance estimation for obstacle avoidance of power transmission lines inspection robot,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.252760Z

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.

source=pdf_text observed=2026-08-15T22:42:46.945706Z digest=sha256:b59404f8af5405071f5462a7c1110c74b9abd795d88f1962e09388fe98dde7ba

Observation 9b5d6f23-fd67-464c-bfd4-d23a3b459b3f · outbound

This paper cites Safety strategy of power transmission channel coordinated with transfer capability support for power system emergency,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Safety strategy of power transmission channel coordinated with transfer capability support for power system emergency,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.243503Z

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.

source=pdf_text observed=2026-08-15T22:42:46.948410Z digest=sha256:78cb3c038e5c40867658a669589a6775c2023c34c9ae79be894fb56ecaefd65f

Observation bd6c0750-5778-4f5d-932e-e3db1fe8d407 · outbound

This paper cites A feasibility study on autonomous online condition monitoring of high-voltage overhead power lines,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors A feasibility study on autonomous online condition monitoring of high-voltage overhead power lines,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.233962Z

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.

source=pdf_text observed=2026-08-15T22:42:46.951183Z digest=sha256:a57f9314e145b88fb86c3c579c0e38ddc291b33ad3934061a3e7bf1ae89a9efb

Observation f5e8fdab-9dcc-4efb-b383-c7cad6311a5d · outbound

This paper cites Plgan: Generative adversarial networks for power-line segmentation in aerial images,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Plgan: Generative adversarial networks for power-line segmentation in aerial images,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.224317Z

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.

source=pdf_text observed=2026-08-15T22:42:46.953783Z digest=sha256:e0b55d476feaf8f6c30a5dc5f697296e0bd5b2d85fb6d8055ba1e583b399fd0e

Observation 8baa2c8d-b492-4ada-b9da-e7094fd28703 · outbound

This paper cites Early detection of tree encroachment in high voltage powerline corridor using growth model and uav-borne lidar,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Early detection of tree encroachment in high voltage powerline corridor using growth model and uav-borne lidar,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.215318Z

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.

source=pdf_text observed=2026-08-15T22:42:46.956761Z digest=sha256:dd6ad21d143c51012a8751ed398ed19954e6d9c1bed43148bb600e02cf79ff4a

Observation d712280d-46fd-42e2-9827-4f3d4b353c9a · outbound

This paper cites Linespyx: A power line inspection robot based on digital radiography,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Linespyx: A power line inspection robot based on digital radiography,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.206332Z

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.

source=pdf_text observed=2026-08-15T22:42:46.959649Z digest=sha256:40ead9aa0cb1665a5493465bbb53ea5aeb41ba75a411b316a3b2a9f005a1e24b

Observation d48f73c2-907e-4aa2-b93b-e04a2431b846 · outbound

This paper cites Visible and infrared imaging based inspection of power installation,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Visible and infrared imaging based inspection of power installation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.198086Z

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.

source=pdf_text observed=2026-08-15T22:42:46.962079Z digest=sha256:e82cb68d5cd80440e79cd7986aac030d2b04a0c78ed0c81b89883fe941f375b7

Observation cd3ab8ed-0ba9-45b9-b15c-d5d70e0cbd9c · outbound

This paper cites Real-time detection of moving objects in a dynamic scene from moving robotic vehicles,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Real-time detection of moving objects in a dynamic scene from moving robotic vehicles,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.180995Z

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.

source=pdf_text observed=2026-08-15T22:42:46.966913Z digest=sha256:ae3d75a6bd6b629e7335872a3d686fcecd9e511a3ceedc8ee4511695fd52a617

Observation 06aba0d9-9233-4c6a-a1f7-0040f31159c1 · outbound

This paper cites A multi-sensor fusion system for moving object detection and tracking in urban driving environments,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors A multi-sensor fusion system for moving object detection and tracking in urban driving environments,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.171900Z

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.

source=pdf_text observed=2026-08-15T22:42:46.969122Z digest=sha256:74128ced86957021d0f84596dec224bc3754c593239c0d0bebf25f79060468f2

Observation f0732c80-8e84-403d-85a0-ceb26b46a3dd · outbound

This paper cites Research on automatic monitoring of tree barrier distance of high voltage transmission lines,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Research on automatic monitoring of tree barrier distance of high voltage transmission lines,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.163231Z

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.

source=pdf_text observed=2026-08-15T22:42:46.971444Z digest=sha256:1504b896c5e6174b78fed0a8446ca75b4e8a49a97e2dabfe626594d7e636a7a0

Observation 38880edb-09de-4d0a-a137-273b8c7cd93a · outbound

This paper cites Measurement of tree barriers on transmission line based on binocular vision and steger algorithm,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Measurement of tree barriers on transmission line based on binocular vision and steger algorithm,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.152960Z

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.

source=pdf_text observed=2026-08-15T22:42:46.973706Z digest=sha256:7fa47b723523615d57ea9902ffc08fef9cf661b92e2732a460955575fd28dc4c

Observation 30a4053e-ed38-413d-9505-40d2cdd78711 · outbound

This paper cites Power line- guided automatic electric transmission line inspection system,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Power line- guided automatic electric transmission line inspection system,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.189558Z

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.

source=pdf_text observed=2026-08-15T22:42:46.976271Z digest=sha256:64712f65d4f9bd1114aad30a8f99b2d248e7d3e8a7fbbf7893ae01a900500296

Observation 20306c38-9570-4b02-88d0-a6f5e9a760c9 · outbound

This paper cites Automatic clearance anomaly detection for transmission line corridors utilizing uav- borne lidar data,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Automatic clearance anomaly detection for transmission line corridors utilizing uav- borne lidar data,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.142581Z

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.

source=pdf_text observed=2026-08-15T22:42:46.978597Z digest=sha256:1be8fd5f7418fb5a4025fa745a5e9fbea1d793a7a47f82bbfac562dc4649c4e1

Observation 5bd64540-29ff-4d6d-a45c-1eb78b66f8cc · outbound

This paper cites Power line extraction and tree risk detection based on airborne lidar,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Power line extraction and tree risk detection based on airborne lidar,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.132955Z

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.

source=pdf_text observed=2026-08-15T22:42:46.980778Z digest=sha256:32bc740dbc258662077d4246b7645220fa8b00846e4645e4698edda996edded5

Observation e0c8ec6e-a6a7-4b5f-9c24-c39b65541251 · outbound

This paper cites An improved method for power- line reconstruction from point cloud data,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors An improved method for power- line reconstruction from point cloud data,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.122425Z

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.

source=pdf_text observed=2026-08-15T22:42:46.983297Z digest=sha256:f28775fbe2b9b89089a66d340f79dca2160e626ad9852a3a08ae545a53bb6dfc

Observation 5433e33e-55a1-43f1-a5eb-ab2dcbd523a6 · outbound

This paper cites Real-time lidar-based power lines detection for unmanned aerial vehicles,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Real-time lidar-based power lines detection for unmanned aerial vehicles,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.112383Z

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.

source=pdf_text observed=2026-08-15T22:42:46.985633Z digest=sha256:aa7fd5b1a055c38f556b9e4646e335f7d32c3e239505ef9a55e42b7245bc8931

Observation 9420015e-4c85-482a-885b-c3fc86d0b345 · outbound

This paper cites A novel development of robots with cooperative strategy for long-term and close-proximity autonomous transmission-line inspection,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors A novel development of robots with cooperative strategy for long-term and close-proximity autonomous transmission-line inspection,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.102735Z

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.

source=pdf_text observed=2026-08-15T22:42:46.988078Z digest=sha256:4c160ef874654bf2be8cc98bc8ec05cf9a29171cd1158e7ca2d115f2dff9103c

Observation 603deb4a-1052-4418-a8ad-a8395f483294 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T22:42:46.991356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:46.991356Z digest=sha256:b7c6b5f95dabb19bd39a1e99d66009502b71efa779d14d5ee1de32026dac0b77

Observation 44519c51-9f02-4b28-8d50-40d22e694710 · outbound

This paper cites Adaptive background mixture models for real-time tracking,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Adaptive background mixture models for real-time tracking,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.088485Z

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.

source=pdf_text observed=2026-08-15T22:42:46.994608Z digest=sha256:8dab9fc1cee745a7eca182c5907577641ac9d090a5e7fda41596bd864227450e

Observation 3c105550-2732-4e2c-9adf-ebfedd152ae3 · outbound

This paper cites Rendering-Enhanced Automatic Image-to-Point Cloud Registration for Roadside Scenes.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Rendering-Enhanced Automatic Image-to-Point Cloud Registration for Roadside Scenes

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:42:46.997950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:46.997950Z digest=sha256:fbcc1d276b22deccd87b62738e2e736a0584ce01dfcf84de50fbdaf45bf8f4e1

Observation ea3ffc41-9294-4d93-904a-b62d0cb437db · outbound

This paper cites Deep vanishing point detection: Geometric priors make dataset variations vanish,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Deep vanishing point detection: Geometric priors make dataset variations vanish,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.070895Z

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.

source=pdf_text observed=2026-08-15T22:42:47.004796Z digest=sha256:dc1aec06c5b048a837368e9b58bbb9dc00c256b0b981f7e6892976b05790f30b

Observation 7967fa1d-7509-4e20-8250-3c72acf9be98 · outbound

This paper cites General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T22:42:47.007930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:47.007930Z digest=sha256:0ad630cfda95114006701941b02d37834369a72a316e055645b30cc6b0022de8

Observation 82d13aa7-43db-44f8-9b08-53e5461dd4ef · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:42:47.011635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:47.011635Z digest=sha256:30c507c61f2e80c52015e0f9e5971e9bb8880c04f061fb15b8e309e2476f66c0

Observation 88c9bd4d-d437-4d1f-b78f-61d95ff2699a · outbound

This paper cites Vision-based acc with a single camera: bounds on range and range rate accuracy,.

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors Vision-based acc with a single camera: bounds on range and range rate accuracy,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:42:47.079628Z

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.

source=pdf_text observed=2026-08-15T22:42:47.015157Z digest=sha256:d207631123e6e6e1ec44c9dfc5afb763b8647bb404ec04ede2e72b039bec880c

Pith citing papers

No inbound Pith citation observations are available.