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Paper Citation Record · LEDGER

Life Style Levels: Neighborhood Delineation using Geospatial Data

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.06529.

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

pith.paper-citation-record.v1
2607.06529 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T03:00:43.421253Z

measured 28 of 28 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

28 of 28 outbound references displayed

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  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 333a3775-809b-42de-a188-6f72d6b4cdfd · outbound

This paper cites an unresolved cited work.

Life Style Levels: Neighborhood Delineation using Geospatial Data Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 5c9ce5fd-e34e-4d9d-b054-6a9815460c06 · outbound

This paper cites AREA_BIN_.

Life Style Levels: Neighborhood Delineation using Geospatial Data AREA_BIN_

Reference 2

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Source-reported events for the cited work

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Observation e5779c96-54b2-48a8-a9cf-44538c6139dc · outbound

This paper cites A query is then performed on the tree by passing the grid coordinates as the region of interest, which returns all building polygons within that grid.

Life Style Levels: Neighborhood Delineation using Geospatial Data A query is then performed on the tree by passing the grid coordinates as the region of interest, which returns all building polygons within that grid

Reference 3

Resolution
verified fuzzy
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Observation 41955db6-db17-43fc-bfd5-543919a4bd5a · outbound

This paper cites less -developed.

Life Style Levels: Neighborhood Delineation using Geospatial Data less -developed

Reference 4

Resolution
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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.

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Observation 85538d3f-6527-4f8c-924e-72f0720e8270 · outbound

This paper cites Mapping Urban Land Use at Street Block Level Using OpenStreetMap, Remote Sensing Data, and Spatial Metrics.

Life Style Levels: Neighborhood Delineation using Geospatial Data Mapping Urban Land Use at Street Block Level Using OpenStreetMap, Remote Sensing Data, and Spatial Metrics

Reference 5

Resolution
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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.

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Observation 8e10a1f7-d271-4cef-82c6-d34c0db01ebe · outbound

This paper cites Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning.

Life Style Levels: Neighborhood Delineation using Geospatial Data Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 565ed141-5b17-40be-bd7f-2983e4e415bd · outbound

This paper cites Continental-Scale Building Detection from High Resolution Satellite Imagery.

Life Style Levels: Neighborhood Delineation using Geospatial Data Continental-Scale Building Detection from High Resolution Satellite Imagery

Reference 7

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Source-reported events for the cited work

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Observation be2b4d42-438a-44ac-9f57-e05b605ade56 · outbound

This paper cites The Impact of Building Morphology on Energy Use Inten- sity of High -Rise Residential Clusters: A Case Study of Hangzhou, China.

Life Style Levels: Neighborhood Delineation using Geospatial Data The Impact of Building Morphology on Energy Use Inten- sity of High -Rise Residential Clusters: A Case Study of Hangzhou, China

Reference 8

Resolution
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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.

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Observation c446c762-b795-4a03-abdf-7831d3dbc6ae · outbound

This paper cites Incorporating Building Morphology Data to Improve Urban Land Use Mapping: A Case Study of Shenzhen.

Life Style Levels: Neighborhood Delineation using Geospatial Data Incorporating Building Morphology Data to Improve Urban Land Use Mapping: A Case Study of Shenzhen

Reference 9

Resolution
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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.

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Observation b8452dcd-609d-46b0-8eac-424a2debc90b · outbound

This paper cites Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to arid urban centers.

Life Style Levels: Neighborhood Delineation using Geospatial Data Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to arid urban centers

Reference 10

Resolution
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Source-reported events for the cited work

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Observation bb13e767-a1c4-4889-8a19-16e896b0cc52 · outbound

This paper cites XGBoost: a Scalable Tree Boosting System.

Life Style Levels: Neighborhood Delineation using Geospatial Data XGBoost: a Scalable Tree Boosting System

Reference 11

Resolution
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Source-reported events for the cited work

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Observation e96fb4d5-ed12-4e1e-baa5-775f3da38c07 · outbound

This paper cites Building(s and) cities: Delineating urban areas with a machine learning algorithm.

Life Style Levels: Neighborhood Delineation using Geospatial Data Building(s and) cities: Delineating urban areas with a machine learning algorithm

Reference 12

Resolution
verified fuzzy
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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.

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Observation 29b10554-dec3-46ec-b302-e98363ccdee6 · outbound

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Life Style Levels: Neighborhood Delineation using Geospatial Data Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 49e8d582-0af1-4e12-aa50-a1d1bd3f2714 · outbound

This paper cites Learning Multidimensional Urban Poverty Representation with Satellite Imagery.

Life Style Levels: Neighborhood Delineation using Geospatial Data Learning Multidimensional Urban Poverty Representation with Satellite Imagery

Reference 14

Resolution
verified fuzzy
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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.

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Observation 79961ecc-fd74-4683-8e32-65eeb6cec8d8 · outbound

This paper cites From chaos to clarity: Leveraging next-generation multimodal large language models for structured insights from unstructured data.

Life Style Levels: Neighborhood Delineation using Geospatial Data From chaos to clarity: Leveraging next-generation multimodal large language models for structured insights from unstructured data

Reference 15

Resolution
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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.

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Observation d5006145-1bc0-4015-a900-42bf1db006c0 · outbound

This paper cites U -Net: Convolutional networks for biomedical image segmentation.

Life Style Levels: Neighborhood Delineation using Geospatial Data U -Net: Convolutional networks for biomedical image segmentation

Reference 16

Resolution
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Source-reported events for the cited work

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Observation bca904d4-3bb0-4047-b399-60e73d0565d0 · outbound

This paper cites Github.io.

Life Style Levels: Neighborhood Delineation using Geospatial Data Github.io

Reference 17

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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.

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Observation bb624d94-367a-407a-acec-9f1d7a117d7e · outbound

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Life Style Levels: Neighborhood Delineation using Geospatial Data Unresolved cited work

Reference 18

Resolution
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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.

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Observation dcd414d6-b557-4a08-a759-04d58d8934ca · outbound

This paper cites Binary codes capable of correcting deletions, insertions, and reversals.

Life Style Levels: Neighborhood Delineation using Geospatial Data Binary codes capable of correcting deletions, insertions, and reversals

Reference 19

Resolution
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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.

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Observation 329540a4-4783-49ba-b78e-f45336e7dd00 · outbound

This paper cites STR: A simple and efficient algorithm for R - tree packing.

Life Style Levels: Neighborhood Delineation using Geospatial Data STR: A simple and efficient algorithm for R - tree packing

Reference 20

Resolution
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Source-reported events for the cited work

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Observation fa5529cd-9537-48b0-89b7-94ed4a6034b9 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Life Style Levels: Neighborhood Delineation using Geospatial Data A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 21

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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.

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Observation d1faaa5f-9333-4e18-8643-c5d0276461a1 · outbound

This paper cites Virtues of the haversine.

Life Style Levels: Neighborhood Delineation using Geospatial Data Virtues of the haversine

Reference 22

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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.

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Observation f72ff317-0a84-4cf0-bf1a-ca62dd7ad2d2 · outbound

This paper cites Libgeos.org.

Life Style Levels: Neighborhood Delineation using Geospatial Data Libgeos.org

Reference 23

Resolution
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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.

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Observation b3dd00e9-8e30-470f-bc53-65416f4530d3 · outbound

This paper cites Credit Risk Scorecards.

Life Style Levels: Neighborhood Delineation using Geospatial Data Credit Risk Scorecards

Reference 24

Resolution
verified fuzzy
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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.

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Observation 420b3621-c2c6-4e47-a2e0-2cd09dde14c0 · outbound

This paper cites W., & Lemeshow, S.

Life Style Levels: Neighborhood Delineation using Geospatial Data W., & Lemeshow, S

Reference 25

Resolution
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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.

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Observation dfcce478-e43c-4213-ad8e-202157c5fc1e · outbound

This paper cites an unresolved cited work.

Life Style Levels: Neighborhood Delineation using Geospatial Data Unresolved cited work

Reference 26

Resolution
unresolved
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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.

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Observation 2e68e76a-3766-46ad-be1d-e7f1ffcb4bc3 · outbound

This paper cites onlinemaps.surveyofindia.gov.in.

Life Style Levels: Neighborhood Delineation using Geospatial Data onlinemaps.surveyofindia.gov.in

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T03:04:28.493827Z

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.

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Observation 76e2eca1-03ec-4130-a59d-b4cfae344a92 · outbound

This paper cites High-Resolution Building and Road Detection from Sentinel-2.

Life Style Levels: Neighborhood Delineation using Geospatial Data High-Resolution Building and Road Detection from Sentinel-2

Reference 28

Resolution
malformed identifier
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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.

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Pith citing papers

No inbound Pith citation observations are available.