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Paper Citation Record · LEDGER

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.00706.

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

pith.paper-citation-record.v1
2606.00706 v2

Coverage vector

measured 43 of 43 reference resolution

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measured 43 of 43 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

43 of 43 outbound references displayed

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Outbound references

Observation 6dc5a693-6cd6-4246-94e3-f0b97e0b017d · outbound

This paper cites Self-supervised learning from im- ages with a joint-embedding predictive architecture.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Self-supervised learning from im- ages with a joint-embedding predictive architecture

Reference 1

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Observation 7cb5b3cb-66b8-4ec6-a7a0-ca0ade9b2fe3 · outbound

This paper cites Anysat: One earth observation model for many resolutions, scales, and modalities.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Anysat: One earth observation model for many resolutions, scales, and modalities

Reference 2

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Observation a9d889b6-5657-4d55-9405-7b14095deae9 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 3

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Observation 60e44f25-10e7-4863-98e1-5d133f6a153e · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 4

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Observation f8e584a2-47e0-4f0b-993c-31b461de86b8 · outbound

This paper cites Mul- tilabel remote sensing image retrieval using a semisupervised graph-theoretic method.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Mul- tilabel remote sensing image retrieval using a semisupervised graph-theoretic method

Reference 5

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Observation 4269ee31-049a-4fc2-8cdc-4ed1fe3be991 · outbound

This paper cites Cmir-net: A deep learning based model for cross-modal retrieval in remote sensing.Pattern Recognition Letters, 131:456–462, 2020.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Cmir-net: A deep learning based model for cross-modal retrieval in remote sensing.Pattern Recognition Letters, 131:456–462, 2020

Reference 6

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Observation d432ca81-5c19-422a-9fcd-66c8a01cc071 · outbound

This paper cites Boosting cross-modal re- trieval in remote sensing via a novel unified attention network.Neural Networks, 180: 106718, 2024.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Boosting cross-modal re- trieval in remote sensing via a novel unified attention network.Neural Networks, 180: 106718, 2024

Reference 7

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Observation 95b8df18-0c67-4a51-9a60-b662af2fa803 · outbound

This paper cites Rejepa: A novel joint-embedding predictive architecture for efficient remote sensing image re- trieval.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Rejepa: A novel joint-embedding predictive architecture for efficient remote sensing image re- trieval

Reference 8

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Observation 379825f3-eaeb-46d5-a687-dc1f4ca84a81 · outbound

This paper cites X-jepa: A novel joint learning cross-modal predictive alignment framework for remote sensing image retrieval.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval X-jepa: A novel joint learning cross-modal predictive alignment framework for remote sensing image retrieval

Reference 9

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Observation 0bd9ae57-257b-437f-b56f-02462672c7de · outbound

This paper cites Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery

Reference 10

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Observation 916123d8-83ea-4c25-bcb5-b887d24238a8 · outbound

This paper cites From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning

Reference 11

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Observation 01a754f4-8ee5-4c58-a14e-6759dd221bee · outbound

This paper cites Croma: Remote sensing repre- sentations with contrastive radar-optical masked autoencoders.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Croma: Remote sensing repre- sentations with contrastive radar-optical masked autoencoders

Reference 12

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Observation 0765c8e5-dfc6-463b-948d-a9f6bb98dd2c · outbound

This paper cites Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery

Reference 13

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Observation 900bc715-6ac5-40cc-a947-e02f2246fe4a · outbound

This paper cites X-clpa: A contrastive learning and pro- totypical alignment-based crossmodal remote sensing image retrieval.Expert Systems with Applications, 308:131169, 2026.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval X-clpa: A contrastive learning and pro- totypical alignment-based crossmodal remote sensing image retrieval.Expert Systems with Applications, 308:131169, 2026

Reference 14

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Observation 66f20dfa-8e1d-455c-9026-4de34a07c507 · outbound

This paper cites CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts

Reference 15

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Observation e5c90e20-599f-41c8-bb35-7734b664ff14 · outbound

This paper cites Explor- ing masked autoencoders for sensor-agnostic image retrieval in remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 2024.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Explor- ing masked autoencoders for sensor-agnostic image retrieval in remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 2024

Reference 16

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Observation 0a698709-8a68-4046-ae8e-ead15660dc0f · outbound

This paper cites Geomeld: Toward semantically grounded foundation models for remote sensing.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Geomeld: Toward semantically grounded foundation models for remote sensing

Reference 17

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Observation 46b91055-c326-4589-919c-bc4b40a76a02 · outbound

This paper cites Masked autoencoders are scalable vision learners.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Masked autoencoders are scalable vision learners

Reference 18

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Observation 0b50fbaa-000e-4e87-8660-3aeb354454aa · outbound

This paper cites OT-PFCNet: A generative pre-alignment framework for cross-domain remote sensing retrieval.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval OT-PFCNet: A generative pre-alignment framework for cross-domain remote sensing retrieval

Reference 19

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Unresolved cited work

Reference 20

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Reference 21

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Observation 3eb9f827-d89c-4539-abf6-1732194ae63a · outbound

This paper cites Image retrieval from remote sensing big data: A survey.Information Fusion, 67:94–115, 2021.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Image retrieval from remote sensing big data: A survey.Information Fusion, 67:94–115, 2021

Reference 22

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Observation 3a817393-e32e-4fc0-9f47-f69c22850ff5 · outbound

This paper cites Decoupled Weight Decay Regularization.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Decoupled Weight Decay Regularization

Reference 23

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Observation 3b6f4d99-cb9d-4747-9061-d69620a60e28 · outbound

This paper cites Cross-source image retrieval based on ensemble learning and knowledge distillation for remote sensing images.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Cross-source image retrieval based on ensemble learning and knowledge distillation for remote sensing images

Reference 24

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Observation 6ed75f5d-a88f-4bb4-bbe6-8b554344081b · outbound

This paper cites Rethinking transformers pre-training for multi-spectral satellite imagery.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Rethinking transformers pre-training for multi-spectral satellite imagery

Reference 25

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This paper cites Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, and Trevor Darrell.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, and Trevor Darrell

Reference 26

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Observation c0edd712-ffaa-4516-8875-80689198929d · outbound

This paper cites Performance evaluation of single-label and multi-label remote sensing image retrieval using a dense labeling dataset.Remote Sensing, 10(6):964, 2018.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Performance evaluation of single-label and multi-label remote sensing image retrieval using a dense labeling dataset.Remote Sensing, 10(6):964, 2018

Reference 27

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This paper cites Multilabel remote sensing image retrieval based on fully convolutional network.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13: 318–328, 2020.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Multilabel remote sensing image retrieval based on fully convolutional network.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13: 318–328, 2020

Reference 28

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Unresolved cited work

Reference 29

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This paper cites Bigearthnet: A large-scale benchmark archive for remote sensing image understanding.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Bigearthnet: A large-scale benchmark archive for remote sensing image understanding

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This paper cites A novel self-supervised cross- modal image retrieval method in remote sensing.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval A novel self-supervised cross- modal image retrieval method in remote sensing

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This paper cites Cross-scale mae: A tale of multiscale exploitation in remote sensing.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Cross-scale mae: A tale of multiscale exploitation in remote sensing

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval A survey of deep learning based remote sensing image retrieval.Remote Sensing, 14(5):1323, 2022

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Albrecht, and Xiao Xiang Zhu

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, and Xiao Xiang Zhu

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This paper cites Robust cross-modal remote sensing image retrieval via maximal correlation augmentation.IEEE Transactions on Geoscience and Remote Sensing, 62:1–17, 2024.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Robust cross-modal remote sensing image retrieval via maximal correlation augmentation.IEEE Transactions on Geoscience and Remote Sensing, 62:1–17, 2024

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Observation 788e5c79-2755-4ce8-b55d-1f063707c3af · outbound

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This paper cites Frequency-guided mutual distillation for lightweight cross-modal remote sensing im- age retrieval.IEEE Transactions on Geoscience and Remote Sensing, 2026.

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Frequency-guided mutual distillation for lightweight cross-modal remote sensing im- age retrieval.IEEE Transactions on Geoscience and Remote Sensing, 2026

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Unresolved cited work

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CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval Unresolved cited work

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