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Paper Citation Record · LEDGER

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.21088.

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

pith.paper-citation-record.v1
2607.21088 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

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measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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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

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation f68bee1d-4460-4ec1-ae46-62cebadb3cf3 · outbound

This paper cites Investigating the spatio-temporal distribution of gravity wave potential energy over the equatorial region using the era5 reanalysis data,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Investigating the spatio-temporal distribution of gravity wave potential energy over the equatorial region using the era5 reanalysis data,

Reference 1

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Observation e83cc9c5-ee1c-408b-bd68-a99a7ed2d65e · outbound

This paper cites The Intrinsic Dimension of Images and Its Impact on Learning.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data The Intrinsic Dimension of Images and Its Impact on Learning

Reference 2

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Observation ebd2c381-3c38-410e-b8b7-a3d624b83405 · outbound

This paper cites Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems

Reference 3

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Observation cfce9c33-9e5b-4e43-a6cd-c72a69cacbd7 · outbound

This paper cites Ldmnet: Low dimensional manifold regularized neural networks,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Ldmnet: Low dimensional manifold regularized neural networks,

Reference 4

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Observation b6c8e1e4-ed49-473e-b733-d667ed2e466f · outbound

This paper cites Principal component analysis (pca),.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Principal component analysis (pca),

Reference 5

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Observation 210cf9be-f411-4513-82af-e093c19cd6dd · outbound

This paper cites Stochastic sparse subspace clustering,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Stochastic sparse subspace clustering,

Reference 6

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Observation 57e31527-2f12-48b1-917d-da623c0863ea · outbound

This paper cites Robust recovery of subspace structures by low-rank representation,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Robust recovery of subspace structures by low-rank representation,

Reference 7

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Observation 60990e96-1139-41ea-95d8-28ab4630ddd5 · outbound

This paper cites A selective overview of recent ad- vances in spectral clustering and their applications,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data A selective overview of recent ad- vances in spectral clustering and their applications,

Reference 8

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Observation abee563b-2a9f-4922-877a-64605397777c · outbound

This paper cites Survey of spectral clustering based on graph theory,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Survey of spectral clustering based on graph theory,

Reference 9

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Observation 55c43007-4b99-4554-89a7-9005c354a76d · outbound

This paper cites Deep spectral cluster- ing using dual autoencoder network,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep spectral cluster- ing using dual autoencoder network,

Reference 10

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Observation 3f813ae3-3573-4b5a-b905-c9043a62e45e · outbound

This paper cites Multi-scale fusion subspace clustering using similarity constraint,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Multi-scale fusion subspace clustering using similarity constraint,

Reference 11

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Observation 2a031456-b394-4a45-9a86-9e941e702f52 · outbound

This paper cites Lrsc: Learning representations for subspace clustering,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Lrsc: Learning representations for subspace clustering,

Reference 12

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Observation ac3090ff-32d2-4847-a4b0-d2b5a94c054e · outbound

This paper cites Deep subspace clus- tering networks,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep subspace clus- tering networks,

Reference 13

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Observation 82ff50c6-0e2b-4095-9fe9-13214d4aba53 · outbound

This paper cites Scalable deep k- subspace clustering,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Scalable deep k- subspace clustering,

Reference 14

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Observation 6b798024-a777-44ee-9138-7f4a5ccff372 · outbound

This paper cites Large-scale subspace clustering via k-factorization,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Large-scale subspace clustering via k-factorization,

Reference 15

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Observation 37dded1b-2e91-4fbf-9804-7e8e4f4a848d · outbound

This paper cites Learning a self-expressive network for subspace clustering,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Learning a self-expressive network for subspace clustering,

Reference 16

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Observation 3a1541f1-c6dd-429f-ac97-ed515429a59d · outbound

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

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data U-net: Convolutional networks for biomedical image segmentation,

Reference 17

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Observation 9f85d9ef-6a20-46d8-979a-790e2c0e8827 · outbound

This paper cites Faconvlstm: Factorized-attention convlstm for efficient feature extraction in multivariate climate data,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Faconvlstm: Factorized-attention convlstm for efficient feature extraction in multivariate climate data,

Reference 18

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Observation 72ed6c49-3bfb-4799-96dd-49bd34bacede · outbound

This paper cites Deep self-representative subspace clustering network,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep self-representative subspace clustering network,

Reference 19

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Observation 71ee9364-69b2-49c0-ba11-74fd396b3d76 · outbound

This paper cites Deep double self-expressive subspace clustering,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep double self-expressive subspace clustering,

Reference 20

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Observation 4cd95478-8367-41d1-bac4-ff3260a3dd16 · outbound

This paper cites Deep adversarial subspace clustering,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep adversarial subspace clustering,

Reference 21

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Observation bf08c663-86bb-4603-a33e-8bd614c84ac9 · outbound

This paper cites Clustergan: Latent space clustering in generative adversarial networks,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Clustergan: Latent space clustering in generative adversarial networks,

Reference 22

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Observation c6576d82-704a-4a63-bd26-ba64ac29489f · outbound

This paper cites Gan- based enhanced deep subspace clustering networks,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Gan- based enhanced deep subspace clustering networks,

Reference 23

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Observation a9a0e6bf-e9aa-4fe1-80bc-98d516adf233 · outbound

This paper cites Unsupervised deep embedding for clustering analysis,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Unsupervised deep embedding for clustering analysis,

Reference 24

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Observation 26d26353-7a7a-4bf6-b29c-c46ad3160efe · outbound

This paper cites Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data

Reference 25

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This paper cites Deep learning for precipitation nowcasting: A benchmark and a new model,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep learning for precipitation nowcasting: A benchmark and a new model,

Reference 26

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep learning for arctic sea ice prediction,

Reference 27

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Spatiotemporal deep learning for regional climate downscaling,

Reference 28

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Auto-Encoding Variational Bayes

Reference 29

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data climate.copernicus.eu

Reference 30

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This paper cites Era5 hourly data on single levels from 1940 to present.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Era5 hourly data on single levels from 1940 to present

Reference 31

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Daily atmospheric observations

Reference 32

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Deep tem- poral clustering: Fully unsupervised learning of time-domain features,

Reference 33

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This paper cites Cluster quality analysis using silhouette score,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Cluster quality analysis using silhouette score,

Reference 34

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Pdbi: A partitioning davies-bouldin index for clustering evaluation,

Reference 35

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data An improved index for clustering validation based on silhouette index and calinski-harabasz index,

Reference 36

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Cluster analysis, wiley,

Reference 37

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CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Unresolved cited work

Reference 38

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Observation 28483682-6c4e-4f76-9049-643d07c391e2 · outbound

This paper cites Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance,.

CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance,

Reference 39

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