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Paper Citation Record · LEDGER

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.05479.

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

pith.paper-citation-record.v1
2505.05479 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:58:49.734595Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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 exact1
  • verified fuzzy18
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0a0f156-618d-43ae-a7be-aef20248c483 · outbound

This paper cites Air quality data continuous, 2022.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Air quality data continuous, 2022

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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Observation 01aad777-1936-41c0-8ea0-fa4360c1baf2 · outbound

This paper cites Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments

Reference 2

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raw_fallback, observed 2026-08-16T10:58:49.938505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5058db34-d47e-4ccd-b14b-80ce19fda3fc · outbound

This paper cites Xgboost: A scalable tree boosting system.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Xgboost: A scalable tree boosting system

Reference 3

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unresolved
no resolver link, observed 2026-08-16T10:58:49.672220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0f94077-3fe7-42b0-95d0-4971fb5015ba · outbound

This paper cites The origins of kriging.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks The origins of kriging

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dfd8728c-9531-4679-b100-ef2271d47475 · outbound

This paper cites Stellargraph machine learning library.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Stellargraph machine learning library

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b755eea2-7e99-48d4-8a7c-f784c35d1aac · outbound

This paper cites Deep learning estimation of daily ground-level no2 concentrations from remote sensing data.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Deep learning estimation of daily ground-level no2 concentrations from remote sensing data

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d331b3fa-151a-44f6-a1b0-ff049c929a0d · outbound

This paper cites Hamilton, Rex Ying, and Jure Leskovec.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Hamilton, Rex Ying, and Jure Leskovec

Reference 7

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raw_fallback, observed 2026-08-16T10:58:49.899153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 21ee1dfb-d258-42db-afd1-63d6cdbcb014 · outbound

This paper cites Transforming our world: implementing the 2030 agenda through sustainable development goal indicators.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Transforming our world: implementing the 2030 agenda through sustainable development goal indicators

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 976c12a1-3d01-440e-b833-3de095b158d7 · outbound

This paper cites u ller, Thomas M \.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks u ller, Thomas M \

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7cd19fc4-d97d-4ad2-9694-ed971de6f4de · outbound

This paper cites Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation be80c1eb-0904-45dc-96f0-55f1cfcb9642 · outbound

This paper cites Application of random forest algorithm to predict the atmospheric concentration of no2.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Application of random forest algorithm to predict the atmospheric concentration of no2

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3c000240-1dad-49e2-888a-9c2322d4fc7d · outbound

This paper cites London air quality network summary report, 2020.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks London air quality network summary report, 2020

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0c84db68-bd3a-4938-95f1-7b7c23c41fea · outbound

This paper cites Era5-land: A state-of-the-art global reanalysis dataset for land applications.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Era5-land: A state-of-the-art global reanalysis dataset for land applications

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation db59e0ec-aab8-41b1-b6f2-ea28b5c913ed · outbound

This paper cites Predicting pm2.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Predicting pm2

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T10:58:49.841145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 80c89402-da64-41e9-9149-93b169df7d28 · outbound

This paper cites Os open roads.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Os open roads

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ce7cd350-c19a-4836-9bdf-8b0039a7d20f · outbound

This paper cites Graph neural network-based spatiotemporal air quality prediction model with satellite remote sensing and meteorological data.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Graph neural network-based spatiotemporal air quality prediction model with satellite remote sensing and meteorological data

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9663a8b3-0e2c-46e8-b63d-f762c541f653 · outbound

This paper cites Local air – mapping the local environment using e‑scooters, 2023.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Local air – mapping the local environment using e‑scooters, 2023

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ba8c797f-5921-4282-849a-9fa17191f9c4 · outbound

This paper cites A hybrid deep learning approach for no _2 concentration forecasting combining transformer and lstm.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks A hybrid deep learning approach for no _2 concentration forecasting combining transformer and lstm

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e6c38bfd-e88e-4185-ac9e-ca819763a68e · outbound

This paper cites Air pollution and child health: prescribing clean air: summary.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Air pollution and child health: prescribing clean air: summary

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 475a0acd-9c95-4664-b42c-218d403d86a4 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks How Powerful are Graph Neural Networks?

Reference 20

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Unavailable: canonical work link unavailable.

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Observation a545eae1-a7bb-4d9e-a595-f833bbe0090c · outbound

This paper cites Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations

Reference 21

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation df1b00c3-7425-42b6-9e3d-de5c6c02bacb · outbound

This paper cites write newline.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks write newline

Reference 22

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Observation 552f462f-2c6d-4a07-ab70-3d79c75b10a3 · outbound

This paper cites @esa (Ref.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks @esa (Ref

Reference 23

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unresolved
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:58:49.729190Z digest=sha256:55c4277cf806238636d13c3370e018bf94f83dd82db3af471817c549aa6d870e

Observation eddb96dc-a18d-4306-8b74-1467b505a11c · outbound

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Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Unresolved cited work

Reference 24

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Observation 33620909-21ac-4442-92a2-6bd3934586ae · outbound

This paper cites an unresolved cited work.

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Unresolved cited work

Reference 25

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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