Paper Citation Record · LEDGER

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.19994.

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

pith.paper-citation-record.v1
2607.19994 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:09:48.130731Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

43 of 43 outbound references displayed

verified exact11
verified fuzzy0
unresolved29
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External citation measurements

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Outbound references

Observation 9a34c1e9-66ca-4e03-9db7-500205703785 · outbound

This paper cites Dixit, K.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Dixit, K

Reference 1

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This paper cites Dixit, K.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Dixit, K

Reference 2

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This paper cites an unresolved cited work.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 3

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This paper cites an unresolved cited work.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 4

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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This paper cites an unresolved cited work.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 7

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This paper cites Rawat, P.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Rawat, P

Reference 8

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This paper cites an unresolved cited work.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 9

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

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Continental-Scale Building Detection from High Resolution Satellite Imagery

Reference 10

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This paper cites URLhttps://github.com/microsoft/GlobalMLBuildingFootprints?tab= readme-ov-file#will-there-be-more-data-coming-for-other-geographies.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types URLhttps://github.com/microsoft/GlobalMLBuildingFootprints?tab= readme-ov-file#will-there-be-more-data-coming-for-other-geographies

Reference 11

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 12

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 13

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 14

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 15

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This paper cites Schug, D.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Schug, D

Reference 16

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 17

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 18

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 19

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 20

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 24

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 25

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 26

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Observation f5ae6854-fa43-4d64-bfab-c9478152da0e · outbound

This paper cites Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift

Reference 27

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

Reference 28

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Observation 64ec53f5-02a6-4fea-8bef-d1c89e9ebb7d · outbound

This paper cites Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

Reference 29

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Observation 204235a7-8bc0-43a6-be0b-36e8cee58064 · outbound

This paper cites Van Etten, D.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Van Etten, D

Reference 30

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This paper cites A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities

Reference 31

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Observation 51dd03be-ceb5-4aa4-bfc6-3e38f13ed07d · outbound

This paper cites Richling, J.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Richling, J

Reference 32

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Gatti, A

Reference 33

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Ginting, K

Reference 34

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This paper cites Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Decoupling Common and Unique Representations for Multimodal Self-supervised Learning

Reference 35

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Fitness for purpose

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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This paper cites URLhttps://www.geoportal.gov.pl/.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types URLhttps://www.geoportal.gov.pl/

Reference 38

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This paper cites Ronneberger, P.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Ronneberger, P

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This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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This paper cites The issue is particularly relevant for detecting new service, office, or public buildings, where green roof designs are increasingly common.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types The issue is particularly relevant for detecting new service, office, or public buildings, where green roof designs are increasingly common

Reference 43

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Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Unresolved cited work

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Pith citing papers

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