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Paper Citation Record · LEDGER

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.19591.

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

pith.paper-citation-record.v1
2506.19591 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T07:59:15.937439Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

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  • verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8051b828-ac8d-43e5-8002-5874f92f8233 · outbound

This paper cites Cross domain early crop mapping using cropstgan.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Cross domain early crop mapping using cropstgan

Reference 1

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Observation a777db41-fe20-4e33-a322-e993fc75c663 · outbound

This paper cites Cross domain early crop mapping with label spaces discrepancies using multicropgan.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Cross domain early crop mapping with label spaces discrepancies using multicropgan

Reference 2

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Observation f59850df-e6fe-41a2-977c-19a3a86034e6 · outbound

This paper cites An introduction to synthetic aperture radar (sar).

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications An introduction to synthetic aperture radar (sar)

Reference 3

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Observation 2384c8b0-973b-4f26-ab77-7bdd3e683848 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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Observation d68bb88e-c6be-4dd6-b828-3a7a47d5e819 · outbound

This paper cites A com- mentary review on the use of normalized difference vegetation index (ndvi) in the era of popular remote sensing.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications A com- mentary review on the use of normalized difference vegetation index (ndvi) in the era of popular remote sensing

Reference 5

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Observation ac7fa306-bbc7-4635-9ee7-1024ce0e8028 · outbound

This paper cites Early crop mapping us- ing dynamic ecoregion clustering: A usa-wide study.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Early crop mapping us- ing dynamic ecoregion clustering: A usa-wide study

Reference 6

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Observation b67d4acc-f195-4636-b662-ddcfc6881206 · outbound

This paper cites Mapping crop types in complex farming areas using sar imagery with dynamic time warping.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Mapping crop types in complex farming areas using sar imagery with dynamic time warping

Reference 7

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Observation 70926b65-7ed0-4314-830a-a3fb30018548 · outbound

This paper cites Spatio-temporal multi-level attention crop mapping method using time-series sar imagery.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Spatio-temporal multi-level attention crop mapping method using time-series sar imagery

Reference 8

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Observation e5a30d7b-f5d8-48b5-a43c-5c3915aa8a5e · outbound

This paper cites Integration of optical and synthetic aperture radar imagery for improving crop mapping in northwestern benin, west africa.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Integration of optical and synthetic aperture radar imagery for improving crop mapping in northwestern benin, west africa

Reference 9

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Observation 402f926c-c86c-4c89-a118-151b18c9215f · outbound

This paper cites Digital mapping of land cover changes using the fusion of sar and msi satellite data.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Digital mapping of land cover changes using the fusion of sar and msi satellite data

Reference 10

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Observation b922ce43-ac5c-4a90-8190-fc65d74bf48c · outbound

This paper cites Synergic use of sar and optical data for feature extraction.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Synergic use of sar and optical data for feature extraction

Reference 11

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Observation 9f194d91-c9bf-4d24-a3a2-cd5db1269cce · outbound

This paper cites Identification of soybean based on sentinel-1/2 sar and msi imagery under a complex planting structure.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Identification of soybean based on sentinel-1/2 sar and msi imagery under a complex planting structure

Reference 12

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Observation 25f223d0-d4ca-41e6-90a3-756a26e9b32d · outbound

This paper cites Enhanced crop classification through integrated optical and sar data: a deep learning approach for multi-source image fusion.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Enhanced crop classification through integrated optical and sar data: a deep learning approach for multi-source image fusion

Reference 13

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Observation e0bbd0a1-8f9c-4d12-9a8e-1eaa62b78f7b · outbound

This paper cites A machine learning approach for accurate crop type mapping using combined sar and optical time series data.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications A machine learning approach for accurate crop type mapping using combined sar and optical time series data

Reference 14

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Observation 252bbef5-f2fd-4862-a8ee-6f008a6f1652 · outbound

This paper cites Cloud removal based on sar-optical remote sensing data fusion via a two-flow network.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Cloud removal based on sar-optical remote sensing data fusion via a two-flow network

Reference 15

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Observation 2993a735-505f-4c74-90f6-cbf3b0d995f8 · outbound

This paper cites Cloud removal in sentinel-2 imagery using a deep residual neural network and sar-optical data fusion.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Cloud removal in sentinel-2 imagery using a deep residual neural network and sar-optical data fusion

Reference 16

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Observation a5eb167b-6acb-42fc-bcfc-352f1d8cf230 · outbound

This paper cites Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network

Reference 17

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Observation d0b1d966-0840-488e-816e-a1c087265663 · outbound

This paper cites ViTs for SITS: Vision Transformers for Satellite Image Time Series.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications ViTs for SITS: Vision Transformers for Satellite Image Time Series

Reference 18

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Observation a890a18d-7361-412a-8960-615401f929aa · outbound

This paper cites Is Space-Time Attention All You Need for Video Understanding?.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Is Space-Time Attention All You Need for Video Understanding?

Reference 19

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Observation 014b32b6-9bca-4ae3-a271-f83c3a25bdc2 · outbound

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Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Gmes sentinel-1 mission

Reference 20

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Observation 84237b6a-f4d5-4d7e-b473-f79854a4eb48 · outbound

This paper cites Sen2cor for sentinel-2.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Sen2cor for sentinel-2

Reference 21

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Observation a32caf40-307c-4238-9219-061118e87a8a · outbound

This paper cites Monitoring us agriculture: the us department of agriculture, national agricul- tural statistics service, cropland data layer program.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Monitoring us agriculture: the us department of agriculture, national agricul- tural statistics service, cropland data layer program

Reference 22

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Observation d1d32e19-16dc-4e29-8ca5-75120bb26ddc · outbound

This paper cites Cloud mask intercomparison exercise (cmix): An evaluation of cloud masking algorithms for landsat 8 and sentinel-2.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Cloud mask intercomparison exercise (cmix): An evaluation of cloud masking algorithms for landsat 8 and sentinel-2

Reference 23

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Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Attention is all you need

Reference 24

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Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Attention Is All You Need

Reference 25

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Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Scikit-learn: Machine learning in Python

Reference 26

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This paper cites A compar- ison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications A compar- ison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper

Reference 27

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Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications The aster spectral library version 2.0

Reference 28

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Observation 659762ea-713c-4b3f-8df2-47db697c1443 · outbound

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Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Image quality assessment: from error visibility to structural similarity

Reference 29

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Observation bca0cafe-1fa4-462c-bc51-7643bb2db6f8 · outbound

This paper cites Mean squared error: Love it or leave it? a new look at signal fidelity measures.

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications Mean squared error: Love it or leave it? a new look at signal fidelity measures

Reference 30

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Pith citing papers

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