Paper Citation Record · LEDGER

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.15976.

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

pith.paper-citation-record.v1
2411.15976 v2

Coverage vector

measured 37 of 37 reference resolution

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measured 37 of 37 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 849dc396-5ce8-45a6-b6df-75a2a5676078 · outbound

This paper cites Enhancing and adapting in the clinic: Source-free unsupervised domain adaptation for medical image enhancement.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Enhancing and adapting in the clinic: Source-free unsupervised domain adaptation for medical image enhancement

Reference 1

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Observation 25579d2d-1bec-4f51-a6d6-f571da76dc7a · outbound

This paper cites Source-free unsupervised domain adaptation: A survey.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free unsupervised domain adaptation: A survey

Reference 2

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Observation 79563299-b781-4a13-905f-c4d28b007107 · outbound

This paper cites Source- free unsupervised domain adaptation for 3d object detection in adverse weather.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source- free unsupervised domain adaptation for 3d object detection in adverse weather

Reference 3

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Observation a7a0820f-0f65-48de-9a88-b1619a323ebc · outbound

This paper cites Source-free Domain Adaptive Object Detection in Remote Sensing Images.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free Domain Adaptive Object Detection in Remote Sensing Images

Reference 4

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This paper cites Lempitsky.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Lempitsky

Reference 5

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Observation 6c217e90-9ef2-4121-93df-4c5405fcf53e · outbound

This paper cites Contrastive adaptation network for unsupervised domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Contrastive adaptation network for unsupervised domain adaptation

Reference 6

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Observation 4fc07fdd-13bd-4854-b21e-57ebe99209d1 · outbound

This paper cites Domain adaptation in biomedical engineering: unsupervised, source-free, and black box approaches.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Domain adaptation in biomedical engineering: unsupervised, source-free, and black box approaches

Reference 7

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Observation dd641417-b27a-437f-a058-d3e844293309 · outbound

This paper cites Crots: Cross-domain teacher–student learning for source-free domain adaptive semantic segmentation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Crots: Cross-domain teacher–student learning for source-free domain adaptive semantic segmentation

Reference 8

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Observation 0f8b54ce-b980-43b8-b6d2-0f1ed76dac3a · outbound

This paper cites Source-free domain adaptation for privacy-preserving seizure prediction.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free domain adaptation for privacy-preserving seizure prediction

Reference 9

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Observation 95196128-02ed-4e87-8126-1f854474f0ba · outbound

This paper cites A comprehensive survey on source-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation A comprehensive survey on source-free domain adaptation

Reference 10

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Observation 224ce0b7-029d-4742-8174-5906ad53f816 · outbound

This paper cites Source-free domain adaptation via distribution estimation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free domain adaptation via distribution estimation

Reference 11

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Observation 945c42e3-a7d4-422b-bc03-39fc5fb70b00 · outbound

This paper cites Vdm-da: Virtual domain modeling for source data-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Vdm-da: Virtual domain modeling for source data-free domain adaptation

Reference 12

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This paper cites Balancing discriminability and transferability for source-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Balancing discriminability and transferability for source-free domain adaptation

Reference 13

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Observation 4e006b26-8af1-4f18-8d42-43384edcd405 · outbound

This paper cites Hypothesis disparity regularized mutual information maximization.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Hypothesis disparity regularized mutual information maximization

Reference 14

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Observation 915acdce-9803-4284-af9b-254b5882fab2 · outbound

This paper cites Attracting and dispersing: A simple approach for source-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Attracting and dispersing: A simple approach for source-free domain adaptation

Reference 15

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Observation 9c3d949b-90a4-4d52-ac22-57a6fe48829e · outbound

This paper cites Semantic consistency learning on manifold for source data-free unsupervised domain adaptation.Neural Networks, 152, 2022.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Semantic consistency learning on manifold for source data-free unsupervised domain adaptation.Neural Networks, 152, 2022

Reference 16

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Observation bf97729a-5d1f-47ab-97bd-6c371c500c03 · outbound

This paper cites Source-free domain adaptation with frozen multimodal foundation model.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free domain adaptation with frozen multimodal foundation model

Reference 17

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This paper cites Learning transferable visual models from natural language supervision.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Learning transferable visual models from natural language supervision

Reference 18

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This paper cites Towards deep learning models resistant to adversarial attacks.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Towards deep learning models resistant to adversarial attacks

Reference 19

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This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 20

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This paper cites Exploiting the intrinsic neighborhood structure for source-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Exploiting the intrinsic neighborhood structure for source-free domain adaptation

Reference 21

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Observation a64017a7-edd1-48f5-b167-7f8ed3156d4e · outbound

This paper cites Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation

Reference 22

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This paper cites Domain adaptation via prompt learning.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Domain adaptation via prompt learning

Reference 23

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This paper cites Confidence score for source-free unsupervised domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Confidence score for source-free unsupervised domain adaptation

Reference 24

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Observation ee68c31c-a06e-4f94-ae77-1b70608ce814 · outbound

This paper cites Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation

Reference 25

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Observation 9551d8a5-1dd0-4a3a-94c5-771626aa7d65 · outbound

This paper cites Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

Reference 26

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This paper cites Casting a BAIT for Offline and Online Source-free Domain Adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Casting a BAIT for Offline and Online Source-free Domain Adaptation

Reference 27

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This paper cites Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

Reference 28

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This paper cites Generalized source-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Generalized source-free domain adaptation

Reference 29

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This paper cites Adaptive adversarial network for source-free domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Adaptive adversarial network for source-free domain adaptation

Reference 30

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This paper cites Moment matching for multi-source domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Moment matching for multi-source domain adaptation

Reference 31

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DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Ad-clip: Adapting domains in prompt space using clip

Reference 32

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This paper cites Liv: Language-image representations and rewards for robotic control.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Liv: Language-image representations and rewards for robotic control

Reference 33

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This paper cites Mutual information divergence: A unified metric for multimodal generative models.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Mutual information divergence: A unified metric for multimodal generative models

Reference 34

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This paper cites Adapting visual category models to new domains.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Adapting visual category models to new domains

Reference 35

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This paper cites Deep hashing network for unsupervised domain adaptation.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Deep hashing network for unsupervised domain adaptation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:44:56.416278Z

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This paper cites Source-free domain adaptation via target prediction distribution searching.

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation Source-free domain adaptation via target prediction distribution searching

Reference 37

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Pith citing papers

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