Paper Citation Record · LEDGER

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.07944.

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

pith.paper-citation-record.v1
2412.07944 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:27:39.803654Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy21
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86d7c3e4-48c2-4407-8355-fef2aa824551 · outbound

This paper cites Ttpla: An aerial-image dataset for detection and segmentation of transmission towers and power lines.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Ttpla: An aerial-image dataset for detection and segmentation of transmission towers and power lines

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8c555c-37b3-4326-8d54-5ffd9556f820 · outbound

This paper cites Duformer: Solving power line detection task in aerial images using semantic segmen- tation.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Duformer: Solving power line detection task in aerial images using semantic segmen- tation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.256438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f40d3cf-2aa6-4ce8-a431-f43836c80c2b · outbound

This paper cites Predictive mapping of the global power system using open data.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Predictive mapping of the global power system using open data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.239098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 821e6a1a-359f-4b77-8f76-e28297e13f95 · outbound

This paper cites Improved road connectivity by joint learning of orientation and segmentation.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Improved road connectivity by joint learning of orientation and segmentation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.219873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d2a1689-463f-4558-bdc5-8f74a285fb9a · outbound

This paper cites What’s the point: Semantic segmentation with point supervision.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery What’s the point: Semantic segmentation with point supervision

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.201745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4f3bc0a8-d8e1-4065-957b-96980738c55b · outbound

This paper cites The morphological ap- proach to segmentation: the watershed transformation.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery The morphological ap- proach to segmentation: the watershed transformation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.182829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 934ca6d9-dd70-4ea0-979f-4477f9b647b4 · outbound

This paper cites Importance Of Green Energy and Solar Panels for Camps.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Importance Of Green Energy and Solar Panels for Camps

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.165586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be227697-4200-493d-870d-90017d64bfb4 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 8

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Source-reported events for the cited work

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Observation 256a7bd6-a9af-47e0-aaee-19c1a462ea7d · outbound

This paper cites Machine learning using satellite images and map features.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Machine learning using satellite images and map features

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.146765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f07fc761-4dbe-46cd-a286-6d247e4f30d4 · outbound

This paper cites Mapping the electric grid: Using ML to augment human tracing of HV infrastructure.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Mapping the electric grid: Using ML to augment human tracing of HV infrastructure

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.125239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fcec8699-b02b-4c2e-9e0c-fe0cb1ef793e · outbound

This paper cites A new predictive model for more accurate electrical grid mapping.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery A new predictive model for more accurate electrical grid mapping

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.107252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1191b6a0-dbda-4bd9-b59c-32b0136558d5 · outbound

This paper cites A scalable framework to measure the impact of spa- tial heterogeneity on electrification.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery A scalable framework to measure the impact of spa- tial heterogeneity on electrification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.089817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 62ceb2c9-8e9b-40f3-8f28-bf6d9c899308 · outbound

This paper cites Gridtracer: Automatic mapping of power grids using deep learning and overhead imagery.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Gridtracer: Automatic mapping of power grids using deep learning and overhead imagery

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.071940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af4023db-083f-4b44-896e-b5de590a4100 · outbound

This paper cites Where are the blobs: Counting by localization with point supervision.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Where are the blobs: Counting by localization with point supervision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.053086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c0de864-19ab-4955-a17f-20e9541fdc44 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Fully convolutional networks for semantic segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:39.752249Z

Source-reported events for the cited work

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Observation 52ebd1d3-273c-47a8-a2c0-b3235b68f8a5 · outbound

This paper cites Smart meter data analytics for distribu- tion network connectivity verification.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Smart meter data analytics for distribu- tion network connectivity verification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:40.016612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 32dc3985-6ad3-4c41-805d-d9cc11f6836e · outbound

This paper cites The Modern Energy Minimum: The case for a new global electricity consumption thresh- old.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery The Modern Energy Minimum: The case for a new global electricity consumption thresh- old

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.997511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f33ba435-4028-4ea4-ac33-879f3e46c526 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.978429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c4788bd1-03e5-411e-9e33-2b2c137a5aa0 · outbound

This paper cites Fine-grained distribution grid mapping using street view imagery.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Fine-grained distribution grid mapping using street view imagery

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.956800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aef37d0e-c74e-4020-96bd-eafd7694c116 · outbound

This paper cites Kenya - Kenya Electricity Network.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Kenya - Kenya Electricity Network

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.936737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44022bc6-8652-4562-bf82-6362b5ad91da · outbound

This paper cites Refugees and Asylum-seekers in Turkana.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Refugees and Asylum-seekers in Turkana

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.918817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 082457bf-1d07-4005-8fcd-9757548a6b22 · outbound

This paper cites Global Trends Re- port 2023.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Global Trends Re- port 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.899984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5678ac4a-b5b6-49b5-8458-f71c108794f1 · outbound

This paper cites Refugee Camps Explained.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Refugee Camps Explained

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.882757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c19dea73-0fc6-44ba-9367-123cd544288e · outbound

This paper cites Electrical pole detection illustration We deploy a Fully Convolutional Network (FCN8) se- mantic segmentation model to detect poles within the im- age.

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery Electrical pole detection illustration We deploy a Fully Convolutional Network (FCN8) se- mantic segmentation model to detect poles within the im- age

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:27:39.865813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.