Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:34:57.285774Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2508.16124.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:34:57.285774Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 106 outbound references displayed
External citation measurements
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Observation 3a9ce385-4dc2-403c-b0d4-c0df2a10cf84 · outbound
Domain Adaptation via Feature Refinement Yao, Xing Fan, and Chenlei Guo
Reference 1
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Observation 8e1f7217-5a19-49b5-bb6d-f5d8a929db40 · outbound
Domain Adaptation via Feature Refinement Robustness to Augmentations as a Generalization metric
Reference 2
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Domain Adaptation via Feature Refinement Unresolved cited work
Reference 3
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Domain Adaptation via Feature Refinement Improving model generalization by agreement of learned representations from data augmentation
Reference 4
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Observation cedb5c3b-5e91-48c2-822a-cceca0daa414 · outbound
Domain Adaptation via Feature Refinement Balanya, Juan Maronas, and Daniel Ramos
Reference 5
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Domain Adaptation via Feature Refinement Mt3: Meta test-time training for self-supervised test-time adaption
Reference 6
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Observation 27ec8e95-6be1-43b8-a0a6-1dd3c21a0cf0 · outbound
Domain Adaptation via Feature Refinement MINE: Mutual Information Neural Estimation
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Observation 64bd3094-a801-4410-ae79-df1c152d7e8c · outbound
Domain Adaptation via Feature Refinement Unsupervised pixel-level domain adaptation with generative adversarial networks
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Domain Adaptation via Feature Refinement Domain separation networks
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Domain Adaptation via Feature Refinement Exploring simple siamese representation learning
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Domain Adaptation via Feature Refinement On robustness and transferability of convolutional neural networks
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Domain Adaptation via Feature Refinement Marsden, and Bin Yang
Reference 12
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Domain Adaptation via Feature Refinement Unresolved cited work
Reference 13
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Observation add2cd35-ee23-43fd-8658-7ad0dee101ed · outbound
Domain Adaptation via Feature Refinement Unresolved cited work
Reference 14
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Observation 93a1bafd-f5ef-4ee9-b004-434271698425 · outbound
Domain Adaptation via Feature Refinement Tackling dimensional collapse toward comprehensive universal domain adaptation
Reference 15
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Observation 929ed857-9b0d-4d1d-bc80-2f8fa2b5bbdb · outbound
Domain Adaptation via Feature Refinement Sharpness-aware minimization for efficiently improving generalization
Reference 16
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Observation b8fbe82d-dc15-4aa8-a0be-6344c86a1d40 · outbound
Domain Adaptation via Feature Refinement Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Reference 17
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Domain Adaptation via Feature Refinement Lempitsky
Reference 18
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Observation 28546e25-284a-4c43-a52b-4975c8e38215 · outbound
Domain Adaptation via Feature Refinement Gatys, Alexander S
Reference 19
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Domain Adaptation via Feature Refinement Borgwardt, Malte J
Reference 20
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Observation 45a593a6-66b7-4b58-8283-d9e8c7fdc407 · outbound
Domain Adaptation via Feature Refinement Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Remi Munos, and Michal Valko
Reference 21
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Domain Adaptation via Feature Refinement Weinberger
Reference 22
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Observation 19173107-92d2-4c50-bc4d-ea34bec15987 · outbound
Domain Adaptation via Feature Refinement Deep residual learning for image recognition
Reference 23
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Observation 571a8acf-739f-4ab7-848f-e9ee69753e8f · outbound
Domain Adaptation via Feature Refinement Dietterich
Reference 24
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Observation 89b2636f-8aeb-403a-9c34-2e6c7afd19fb · outbound
Domain Adaptation via Feature Refinement Augmix: A simple method to improve robustness and uncertainty under data shift
Reference 25
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Observation 2d26da56-22af-4b79-bf73-e21b23af6009 · outbound
Domain Adaptation via Feature Refinement Natural Adversarial Examples
Reference 26
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Observation 3aa77066-48fc-4d72-b741-48f313edd333 · outbound
Domain Adaptation via Feature Refinement Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 27
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Observation 781afe49-a272-4fc7-a3f4-ad17fb3a1efa · outbound
Domain Adaptation via Feature Refinement Distilling the Knowledge in a Neural Network
Reference 28
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Observation 52c3cd41-a09b-4a76-b70d-273f7ea985e9 · outbound
Domain Adaptation via Feature Refinement Hrda: Context-aware high-resolution domain-adaptive semantic segmentation
Reference 29
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Reference 30
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Domain Adaptation via Feature Refinement Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
Reference 31
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Domain Adaptation via Feature Refinement Batch normalization: Accelerating deep network training by reducing internal covariate shift
Reference 32
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Domain Adaptation via Feature Refinement Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
Reference 33
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Domain Adaptation via Feature Refinement Hauptmann
Reference 34
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Observation 723105d0-ff2e-4409-85d2-9de8fce47448 · outbound
Domain Adaptation via Feature Refinement Effects of varying resolution on performance of cnn based image classification an experimental study
Reference 35
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Observation 358d06db-a729-4f80-9043-3943b5d1c3a0 · outbound
Domain Adaptation via Feature Refinement Kingma and Jimmy Ba
Reference 36
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Observation 877fdea4-2b15-438a-ada9-38b7a7a03895 · outbound
Domain Adaptation via Feature Refinement On the effectiveness of adversarial training against common corruptions
Reference 37
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Observation 40850687-cb5e-4e93-b7b5-cec7fa23ffd3 · outbound
Domain Adaptation via Feature Refinement Improving model calibration with accuracy versus uncertainty optimization
Reference 38
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Observation 02f7a1c0-47af-4bee-bb35-bdda1b92f919 · outbound
Domain Adaptation via Feature Refinement Ats: Adaptive temperature scaling for enhancing out-of-distribution detection methods
Reference 39
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Domain Adaptation via Feature Refinement Simple and scalable predictive uncertainty estimation using deep ensembles
Reference 40
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Domain Adaptation via Feature Refinement Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, and Yun Fu
Reference 41
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Domain Adaptation via Feature Refinement Partial domain adaptation without domain alignment
Reference 42
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Observation 9cfcb61c-5a61-4cf8-bb47-f6891e54b141 · outbound
Domain Adaptation via Feature Refinement Partial domain adaptation without domain alignment
Reference 43
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Observation 26bd7257-4e18-4e47-be27-94433a18d97e · outbound
Domain Adaptation via Feature Refinement Revisiting batch normalization for practical domain adaptation
Reference 44
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Domain Adaptation via Feature Refinement A comprehensive survey on test-time adaptation under distribution shifts
Reference 45
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Domain Adaptation via Feature Refinement A comprehensive survey on test-time adaptation under distribution shifts
Reference 46
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Domain Adaptation via Feature Refinement Do we really need to access the source data? S ource hypothesis transfer for unsupervised domain adaptation
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Domain Adaptation via Feature Refinement Guiding pseudo-labels with uncertainty estimation for source-free unsupervised domain adaptation
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Reference 50
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Domain Adaptation via Feature Refinement SGDR: stochastic gradient descent with warm restarts
Reference 52
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Domain Adaptation via Feature Refinement Decoupled weight decay regularization
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Domain Adaptation via Feature Refinement Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation
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Domain Adaptation via Feature Refinement Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization
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Domain Adaptation via Feature Refinement Jehanzeb Mirza, Jakub Micorek, Horst Possegger, and Horst Bischof
Reference 57
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Domain Adaptation via Feature Refinement Generative pseudo-label refinement for unsupervised domain adaptation
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Domain Adaptation via Feature Refinement MNIST-C: A Robustness Benchmark for Computer Vision
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Domain Adaptation via Feature Refinement Kernel mean embedding of distributions: A review and beyond
Reference 60
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Domain Adaptation via Feature Refinement Fixbi: Bridging domain spaces for unsupervised domain adaptation
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Domain Adaptation via Feature Refinement Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
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Reference 63
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Domain Adaptation via Feature Refinement Batch-instance normalization for adaptively style-invariant neural networks
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Domain Adaptation via Feature Refinement Raychaudhuri, Samet Oymak, and Amit K
Reference 66
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Domain Adaptation via Feature Refinement Tttflow: Unsupervised test-time training with normalizing flow
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Reference 70
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Reference 73
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Reference 74
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Reference 75
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Reference 78
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Domain Adaptation via Feature Refinement Deep coral: Correlation alignment for deep domain adaptation
Reference 82
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Reference 83
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Reference 85
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Domain Adaptation via Feature Refinement Contrastive representation distillation
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Domain Adaptation via Feature Refinement Deep learning and the information bottleneck principle
Reference 87
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Domain Adaptation via Feature Refinement ADVENT: adversarial entropy minimization for domain adaptation in semantic segmentation
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Domain Adaptation via Feature Refinement Olshausen, and Trevor Darrell
Reference 89
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Domain Adaptation via Feature Refinement Continual test-time domain adaptation
Reference 90
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Reference 91
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Reference 92
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Domain Adaptation via Feature Refinement Girshick, Piotr Dollar, Zhuowen Tu, and Kaiming He
Reference 93
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Domain Adaptation via Feature Refinement Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation
Reference 94
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Reference 95
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Domain Adaptation via Feature Refinement Doubly robust calibration of prediction sets under covariate shift
Reference 96
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Reference 97
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Domain Adaptation via Feature Refinement Robust test-time adaptation in dynamic scenarios
Reference 98
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Domain Adaptation via Feature Refinement TEA: test-time energy adaptation
Reference 99
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Domain Adaptation via Feature Refinement Wide residual networks
Reference 100
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No inbound Pith citation observations are available.