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Paper Citation Record · LEDGER

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.05700.

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pith.paper-citation-record.v1
2606.05700 v1

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measured 24 of 24 reference resolution

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24 of 24 outbound references displayed

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Outbound references

Observation 9075bad7-6116-463c-9d7e-f121ca352704 · outbound

This paper cites Pre- dicting gradient is better: Exploring self-supervised learning for SAR ATR with a joint-embedding predictive architecture,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Pre- dicting gradient is better: Exploring self-supervised learning for SAR ATR with a joint-embedding predictive architecture,

Reference 1

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Observation 61b46fa4-e6f2-4ec8-a6e6-3ceb41c9c1eb · outbound

This paper cites Local masked reconstruction for efficient self-supervised learning on high-resolution images,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Local masked reconstruction for efficient self-supervised learning on high-resolution images,

Reference 2

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Observation c4385e4e-d390-4ddc-b788-62fea841facc · outbound

This paper cites 2026 IEEE GRSS data fusion contest: SAR temporal analysis with Capella space data,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction 2026 IEEE GRSS data fusion contest: SAR temporal analysis with Capella space data,

Reference 3

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Observation add748a5-613d-41b2-9d2d-7d947b9177ed · outbound

This paper cites Synthetic aperture radar interferometry,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Synthetic aperture radar interferometry,

Reference 4

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Observation 0124bcc0-3ad0-4d15-9419-756d38e9bd1b · outbound

This paper cites Synthetic aperture radar interferometry,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Synthetic aperture radar interferometry,

Reference 5

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Observation 5c1863cc-e556-44ee-8bd6-fce98fdd2586 · outbound

This paper cites Permanent scatterers in SAR interferometry,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Permanent scatterers in SAR interferometry,

Reference 6

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Observation 8b203fa8-db35-441e-947e-2a980c19f8ba · outbound

This paper cites A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms,

Reference 7

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Observation db674050-31d7-49f6-af94-fa0af9d27021 · outbound

This paper cites SAR2SAR: A semi-supervised despeckling algorithm for sar images,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction SAR2SAR: A semi-supervised despeckling algorithm for sar images,

Reference 8

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Observation e76fa41b-9c86-4f87-868d-c5522cb46e52 · outbound

This paper cites Benchmarking suite for synthetic aperture radar imagery anomaly detection (SARIAD) algorithms,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Benchmarking suite for synthetic aperture radar imagery anomaly detection (SARIAD) algorithms,

Reference 9

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Observation f8e05be1-d51f-41cd-81db-8812b31d69aa · outbound

This paper cites SkyCap: Bitemporal VHR optical–SAR quartets for amplitude change detection and foundation- model evaluation,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction SkyCap: Bitemporal VHR optical–SAR quartets for amplitude change detection and foundation- model evaluation,

Reference 10

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Observation e2ed470a-8005-4ce9-a60d-7de677e1869e · outbound

This paper cites A path towards autonomous machine intelligence,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction A path towards autonomous machine intelligence,

Reference 11

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Observation d6b560d9-fd19-455a-a54c-4511922de56e · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Self-supervised learning from images with a joint-embedding predictive architecture,

Reference 12

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Observation 2135364d-d020-4d6b-8fc9-bd8394585d5e · outbound

This paper cites MAESTRO: Masked autoencoders for multimodal, multitemporal, and multispectral earth observation data,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction MAESTRO: Masked autoencoders for multimodal, multitemporal, and multispectral earth observation data,

Reference 13

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Observation 2dcc0b38-7a81-42b7-8839-874ec579138e · outbound

This paper cites REJEPA: A novel joint-embedding predictive architecture for efficient remote sensing image retrieval,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction REJEPA: A novel joint-embedding predictive architecture for efficient remote sensing image retrieval,

Reference 14

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Observation fa24d74e-1d6f-4de9-9b93-404e5043feb3 · outbound

This paper cites Xiong, Y.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Xiong, Y

Reference 15

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Observation 2fe891ed-ae93-4598-a9e1-afd849514095 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 16

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Observation d5378ab7-6cb4-4355-8295-f95e2fca5bf6 · outbound

This paper cites Attention is all you need,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Attention is all you need,

Reference 17

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Observation 5e38ffb6-1da5-4d9c-81c9-df70d496858c · outbound

This paper cites Continuous-time linear positional embedding for irregular time series forecasting,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Continuous-time linear positional embedding for irregular time series forecasting,

Reference 18

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Observation 3a0cda6d-1b38-4758-9588-4aea8908efe5 · outbound

This paper cites Universal language model fine-tuning for text classification,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Universal language model fine-tuning for text classification,

Reference 19

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Observation b83d107b-5523-4961-a2bf-993f8bb1e22d · outbound

This paper cites The new Capella Space satellite generation: Acadia,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction The new Capella Space satellite generation: Acadia,

Reference 20

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This paper cites Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution,

Reference 21

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Observation cbb4f7d3-2f42-4bed-8ca6-c5061e251c3a · outbound

This paper cites PaDiM: A patch dis- tribution modeling framework for anomaly detection and localization,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction PaDiM: A patch dis- tribution modeling framework for anomaly detection and localization,

Reference 22

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Observation 2ed14809-0c09-400f-9fa0-53a8fc066e24 · outbound

This paper cites Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery,

Reference 23

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Observation fafe8988-5e2a-4c1c-abce-b8c8e79b685d · outbound

This paper cites Kilauea volcano activity updates: December 2024 and march 2025 eruption episodes,.

T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction Kilauea volcano activity updates: December 2024 and march 2025 eruption episodes,

Reference 24

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