Paper Citation Record · LEDGER

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.00777.

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

pith.paper-citation-record.v1
2412.00777 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:05:28.347359Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy23
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6fa7f25-c4a7-4eac-8756-facbae715573 · outbound

This paper cites LandCoverNet: A global benchmark land cover classification training dataset.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps LandCoverNet: A global benchmark land cover classification training dataset

Reference 1

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Source-reported events for the cited work

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Observation c244793d-52ec-4c0f-a310-2e1980299c10 · outbound

This paper cites How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? Scientific Data, 11(1):486, 2024.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? Scientific Data, 11(1):486, 2024

Reference 2

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Observation 001ab1de-a0c9-4c0f-a81f-13fa7e54f0d2 · outbound

This paper cites The state of food security and nutrition in the world, 2024.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps The state of food security and nutrition in the world, 2024

Reference 3

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Observation 3a947637-fd2a-4c95-a852-6eac7b3f36f9 · outbound

This paper cites Weak Labeling for Cropland Mapping in Africa.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Weak Labeling for Cropland Mapping in Africa

Reference 4

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Observation e7bd84a0-33d9-4786-aac8-1877f1dcd53c · outbound

This paper cites The role of agriculture in African development.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps The role of agriculture in African development

Reference 5

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Source-reported events for the cited work

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Observation 20b84905-cb76-4b95-97a4-c1970fcde2f1 · outbound

This paper cites Impact of agricultural credit on coffee productivity in kenya.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Impact of agricultural credit on coffee productivity in kenya

Reference 6

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Observation 1b89011c-3782-48f7-81c7-ed9cb7702c4e · outbound

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Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Unresolved cited work

Reference 7

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Observation eef1bbb1-0635-4429-b9cd-1343e4099c13 · outbound

This paper cites Kurniawan, Lasse Loft, Tadzkia Nurshafira, Debie Prabawati-Suwito, Diaz Prasongko, Paula A.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Kurniawan, Lasse Loft, Tadzkia Nurshafira, Debie Prabawati-Suwito, Diaz Prasongko, Paula A

Reference 8

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Observation 1ac2346e-9a47-426c-abd3-34de1239f19b · outbound

This paper cites EU deforestation law means uncertainty for African coffee.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps EU deforestation law means uncertainty for African coffee

Reference 9

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Observation ab6f0ed6-d078-4772-ab88-282da9ca6350 · outbound

This paper cites EU regulations to ban Kenyan coffee from deforested land.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps EU regulations to ban Kenyan coffee from deforested land

Reference 10

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Observation 034bf9aa-b687-468d-b6e0-2ced53563072 · outbound

This paper cites Dynamic world, near real-time global 10 m land use land cover mapping.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Dynamic world, near real-time global 10 m land use land cover mapping

Reference 11

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Observation d4e92e91-b5bc-4577-929e-e7b951b74aae · outbound

This paper cites Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 12

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Observation c586f68f-fe21-40a3-a0ae-327bf7fcbe6d · outbound

This paper cites ESA WorldCover 10 m 2021 v200.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps ESA WorldCover 10 m 2021 v200

Reference 13

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Observation be735a7a-0c3c-4baf-92d6-706fa06dabb5 · outbound

This paper cites Global land use/land cover with Sentinel-2 and deep learning.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Global land use/land cover with Sentinel-2 and deep learning

Reference 14

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Source-reported events for the cited work

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Observation f9438a5c-a290-429c-98cf-1e6fd2dedc36 · outbound

This paper cites Global 10 m land use land cover datasets: A comparison of Dynamic World, World cover and ESRI land cover.Remote Sensing, 14(16):4101, 2022.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Global 10 m land use land cover datasets: A comparison of Dynamic World, World cover and ESRI land cover.Remote Sensing, 14(16):4101, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:05:28.707034Z

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Observation 4c906b5b-586c-4d7b-9195-80b7806a0f9a · outbound

This paper cites Com- parisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Com- parisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30

Reference 16

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Observation 85c6b866-0e2d-4d4c-953d-cf36f9a2fe92 · outbound

This paper cites Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa

Reference 17

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Observation a2eca366-3da9-4164-9e4e-7c735bfe6bec · outbound

This paper cites Striving for data-model efficiency: Identifying data externalities on group performance.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Striving for data-model efficiency: Identifying data externalities on group performance

Reference 18

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Observation 0a1a9fa2-e958-430c-bcdc-a56c6c4615e2 · outbound

This paper cites DMLR: Data-centric Machine Learning Research -- Past, Present and Future.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps DMLR: Data-centric Machine Learning Research -- Past, Present and Future

Reference 19

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Observation 50830e4f-e4f1-4bc5-8a90-88641f1d5930 · outbound

This paper cites Advances, challenges and opportunities in creating data for trustworthy ai.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Advances, challenges and opportunities in creating data for trustworthy ai

Reference 20

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Source-reported events for the cited work

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

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps High-Resolution Building and Road Detection from Sentinel-2

Reference 21

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Observation 7a208d1b-440e-4eab-ba0f-b8b25027488e · outbound

This paper cites Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks

Reference 22

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Observation a446361d-a48c-4956-ad8a-e8fcdd52c317 · outbound

This paper cites Buying satellite imagery: Pricing information for high resolution satellite imagery.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Buying satellite imagery: Pricing information for high resolution satellite imagery

Reference 23

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Observation ae0b05ca-50c8-422a-8ab6-92fa6adf7745 · outbound

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Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Satellite imagery labeling toolki

Reference 24

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This paper cites Welcome to OpenStreetMap! https://www.openstreetmap.org/#map=6/0.17/37.90,.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Welcome to OpenStreetMap! https://www.openstreetmap.org/#map=6/0.17/37.90,

Reference 25

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This paper cites Knowledge distillation from a stronger teacher.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Knowledge distillation from a stronger teacher

Reference 26

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Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Unresolved cited work

Reference 27

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

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps U-net: Convolutional networks for biomedical image segmentation

Reference 28

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Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Knowledge distillation: A good teacher is patient and consistent

Reference 29

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Observation 77efd86d-88d8-434a-bdc9-a2305f769174 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Imagenet: A large-scale hierarchical image database

Reference 30

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Observation a6aa31f8-d9e6-4e92-ade2-c731285afca3 · outbound

This paper cites Deep residual learning for image recognition.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Deep residual learning for image recognition

Reference 31

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Observation 9c80caae-5ef8-4b40-9bf8-dfa21b3eaef6 · outbound

This paper cites Space Technology and Supply Chain Sustainability: Satellite-Based Due Diligence and the EU Deforestation Regulation, pages 109–134.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Space Technology and Supply Chain Sustainability: Satellite-Based Due Diligence and the EU Deforestation Regulation, pages 109–134

Reference 32

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This paper cites Stewart, Caleb Robinson, Isaac A.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Stewart, Caleb Robinson, Isaac A

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:05:28.529689Z

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Observation 92aa0e91-66e3-4de6-bcbf-ff3573984a8e · outbound

This paper cites Agriculture Information Management system (AIMS) - Murang’a County.

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Agriculture Information Management system (AIMS) - Murang’a County

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:05:28.491798Z

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Observation a4356a4a-0c9f-4448-acbe-dade6e7841cd · outbound

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Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps Unresolved cited work

Reference 2022

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Pith citing papers

No inbound Pith citation observations are available.