Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:10.075447Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 0 inbound Pith citation observations for arXiv:2608.06712.
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 2026-08-10T22:05:10.075447Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
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 123 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 15bdb882-8a23-4532-89de-4dbb3ac24e68 · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
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Observation 9ce758c7-ba36-4c6e-9825-38817db0543a · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International journal of computer vision , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness European Conference on Computer Vision , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Conference on Machine Learning , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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Observation 93bc2074-79f3-4c2e-a22f-3feec60f532b · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness IEEE Transactions on Cybernetics , year=
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Observation 37928bda-1f71-4920-a17e-4a0c7f99fb38 · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Conference on Learning Representations , year=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International conference on machine learning , pages=
Reference 20
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness 2nd International Conference on Learning Representations, ICLR 2014 , year=
Reference 21
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Conference on Learning Representations , year=
Reference 24
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Does enhanced shape bias improve neural network robustness to common corruptions?
Reference 25
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 29
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Journal of Computer Vision , volume=
Reference 30
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness ResNet strikes back: An improved training procedure in timm
Reference 33
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International conference on machine learning , pages=
Reference 34
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Observation a4563d83-3eb8-40b5-b54b-18714e9f3d94 · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness PyTorch , year=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness European Conference on Computer Vision , pages=
Reference 38
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Conference on Machine Learning , pages=
Reference 39
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Observation 94b6cec3-4f04-4662-a63f-1b8700cf75cf · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness IEEE Transactions on Image Processing , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Conference on Machine Learning , pages=
Reference 41
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International conference on machine learning , pages=
Reference 44
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 , pages=
Reference 45
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International Journal of Computer Vision , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
Reference 47
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness International journal of computer vision , volume=
Reference 48
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
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Observation 80a09f09-0c76-4bcc-bcce-78f25c05770a · outbound
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Very Deep Convolutional Networks for Large-Scale Image Recognition
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness AutoAugment: Learning Augmentation Policies from Data
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the AAAI conference on artificial intelligence , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF international conference on computer vision , pages=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in neural information processing systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Real-Time Flying Object Detection with YOLOv8
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Reference 84
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Advances in Neural Information Processing Systems , volume=
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Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
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