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Source: paper_references, paper_reference_links, observed 2026-06-25T21:50:33.592666Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2606.25155.
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Source: paper_references, paper_reference_links, observed 2026-06-25T21:50:33.592666Z
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54 of 54 outbound references displayed
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Wasserstein recurrence networks for multiscale time series pattern analysis as unlikely as within purely uncorrelated noise
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Wasserstein recurrence networks for multiscale time series pattern analysis Paleoclimate Perspectives on Contemporary Climate Change,
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Wasserstein recurrence networks for multiscale time series pattern analysis Problems with the current prac- tice of spectral analysis in cyclostratigraphy: Avoiding false detection of regular cyclicity,
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Wasserstein recurrence networks for multiscale time series pattern analysis Distinct roles for precession, obliquity, and eccentricity in Pleistocene 100-kyr glacial cycles,
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Wasserstein recurrence networks for multiscale time series pattern analysis Varley and Olaf Sporns, “Network Anal- 13 FIG
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Wasserstein recurrence networks for multiscale time series pattern analysis Identification of dynam- ical transitions in marine palaeoclimate records by re- currence network analysis,
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Wasserstein recurrence networks for multiscale time series pattern analysis Complex network approach for recurrence analysis of time series,
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Wasserstein recurrence networks for multiscale time series pattern analysis A complex network approach to study the extreme precip- itation patterns in a river basin,
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Wasserstein recurrence networks for multiscale time series pattern analysis Classifying past climate change in the Chew Bahir basin, southern Ethiopia, using recurrence quantification analysis,
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Wasserstein recurrence networks for multiscale time series pattern analysis High predictability potential of highly synchro- nized widespread floods in monsoon regions,
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Wasserstein recurrence networks for multiscale time series pattern analysis How to avoid potential pitfalls in re- currence plot based data analysis,
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Wasserstein recurrence networks for multiscale time series pattern analysis Selection of recurrence threshold for signal detection,
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Wasserstein recurrence networks for multiscale time series pattern analysis Short- and long-term variabil- ity of the Antarctic and Greenland ice sheets,
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Wasserstein recurrence networks for multiscale time series pattern analysis When Resources Collide: Towards a Theory of Coincidence in Information Spaces,
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Wasserstein recurrence networks for multiscale time series pattern analysis Statistical As- pects of Wasserstein Distances,
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Wasserstein recurrence networks for multiscale time series pattern analysis The Earth Mover’s Distance as a Metric for Image Re- trieval,
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Wasserstein recurrence networks for multiscale time series pattern analysis A linear transportation Lp distance for pattern recognition,
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Wasserstein recurrence networks for multiscale time series pattern analysis (Springer, New York, NY, 1983)
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