Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:50:50.385546Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 0 inbound Pith citation observations for arXiv:2608.03197.
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 2026-08-05T23:50:50.385546Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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 113 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 16150fcc-cbe8-4bd6-ba29-36fb0b0bdce3 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Unresolved cited work
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Observation a49d99b9-e1d6-41d5-8d02-8af48a36d404 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Journal of Machine Learning Research , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Journal of Machine Learning Research , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
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Observation ef718b7f-2cce-4d6e-aede-7c76836da0a9 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Stability Analysis of Sharpness-Aware Minimization
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds International Conference on Machine Learning , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Unresolved cited work
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds The Eleventh International Conference on Learning Representations , year=
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Observation 6643cfc2-86bc-49cb-8a52-4582f451f0f8 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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Observation 45a63197-fcbd-46d1-ab09-4244ed377f1c · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds The Eleventh International Conference on Learning Representations , year=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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Observation 1fd3ee54-5f18-44d8-89ff-02764fa4cda0 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds The Thirteenth International Conference on Learning Representations , year=
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Observation 7d2fabc8-dfe0-48b3-b70a-729b8e983328 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Computational-Statistical Gaps in Gaussian Single-Index Models
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds International Conference on Learning Representations , year=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in neural information processing systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in neural information processing systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds 2009 IEEE conference on computer vision and pattern recognition , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds IEEE Transactions on Computational Social Systems , year=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Remote Sensing , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds IEEE transactions on neural networks and learning systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds The Thirteenth International Conference on Learning Representations , year=
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Observation 70f5c30a-78c0-4244-819a-f20a8fb33deb · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the European conference on computer vision (ECCV) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds 2011 international conference on computer vision , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
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Observation be8fbfa5-fd98-42d3-a3ad-31934a4a7466 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds International journal of computer vision , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the Conference on computer Vision and Pattern Recognition (CVPR) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the IEEE international conference on computer vision workshops , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds 2008 Sixth Indian conference on computer vision, graphics & image processing , pages=
Reference 41
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
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Observation 854e303d-2932-47e5-bf49-90a55d439966 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in neural information processing systems , volume=
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Observation 9b3e5049-7a19-4f7d-b29f-ccea1cdfcc71 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the Conference on computer Vision and Pattern Recognition (CVPR) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the IEEE/CVF international conference on computer vision (ICCV) , pages=
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Observation 821e8205-ef3d-4e3a-b996-78b9cbdc42a4 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds 2020 IEEE international conference on big data (Big data) , pages=
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Observation a14b00a1-f85f-4ea4-a6ad-4d009576f985 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the International Conference on Machine Learning (ICML) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds arXiv preprint arXiv:2401.12033 , year=
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Observation 48a8350b-eeb2-426e-9809-6fca29c4240c · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Sharpness-Aware Minimization Improves Language Model Generalization
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Observation 2866156f-5a0d-4004-8461-4188a47a5a9e · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning
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Observation 22deddd4-036e-4f7d-86f1-efab8a630c90 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds K-SAM: Sharpness-Aware Minimization at the Speed of SGD
Reference 52
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Observation 19f83219-4294-476c-8d9b-3d29c783c02e · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds FedGAMMA: Federated Learning With Global Sharpness-Aware Minimization , year=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization , year=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Unresolved cited work
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
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Observation dbe3097e-05bd-4c54-914f-1b67218d45b4 · outbound
On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds An Empirical Study of Example Forgetting during Deep Neural Network Learning
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the Conference on European Conference on Computer Vision (ECCV) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Accelerating Deep Learning with Dynamic Data Pruning
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds CS 231N , volume=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the International Conference on Computer Vision (ICCV) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Improved Regularization of Convolutional Neural Networks with Cutout
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the International Conference on Learning Representations (ICLR) , year=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the International Conference on Machine Learning (ICML) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Proceedings of the International Conference on Machine Learning (ICML) , pages=
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On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Advances in Neural Information Processing Systems (NeurIPS) , volume=
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