Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:36:57.984353Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.18306.
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 2026-08-01T22:36:57.984353Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
31 of 31 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7883a0c7-9ed0-4f7c-ac1c-13853bd6f90c · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Reference 1
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Observation 69f449ae-a6e7-493f-b30a-cdef1861b5a5 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Fantastic Generalization Measures and Where to Find Them
Reference 2
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Observation 69fdb958-7d15-4471-b1b5-602c0be13b28 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Entropy-sgd: Biasing gradient descent into wide valleys,
Reference 3
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Observation c13cb5f7-abe7-4a57-b5c1-b8697bb65e63 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Sharpness-Aware Minimization for Efficiently Improving Generalization
Reference 4
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Observation 3db5faff-b6af-4463-bf9c-00e66bb696df · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Asam: Adaptive sharpness- aware minimization for scale-invariant learning of deep neural net- works,
Reference 5
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Observation 9e851ae5-8054-451c-9c31-d6e90880e71a · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training
Reference 6
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Observation efe336a5-e764-4991-8527-35e701aa0f9f · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Fisher sam: Information geometry and sharpness aware minimisation,
Reference 7
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Observation 524253b2-4d5c-4f04-8b84-9a98bdaeba33 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Friendly sharpness- aware minimization,
Reference 8
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Observation 085e5e3a-3dd2-40cc-8788-a0e5bbfe130d · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Bilateral sharpness- aware minimization for flatter minima,
Reference 9
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Observation 41e80aa9-3f2a-4926-a02a-aa8856750b0e · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Limitations of the empirical fisher approximation for natural gradient descent,
Reference 10
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Observation a66805d2-b764-47fe-b70c-9439513a0923 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
Reference 11
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Observation 07180b4b-a146-4923-ac73-81e69513dbfe · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Reference 12
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Observation fa9a10ab-2b85-422d-b525-afbffe4c24b6 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Towards efficient and scalable sharpness-aware minimization,
Reference 13
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Observation bfe5104c-7780-4d3a-9057-ace53e2ab02d · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization An Adaptive Policy to Employ Sharpness-Aware Minimization
Reference 14
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Observation 82c9f727-c6af-4eea-b325-dee97ee3f0b1 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization K-SAM: Sharpness-Aware Minimization at the Speed of SGD
Reference 15
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Observation 46744fa7-683b-4537-b47d-3ca64c39c30d · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Sampa: Sharpness-aware minimiza- tion parallelized,
Reference 16
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Observation 16733a06-923a-4104-a693-3c82f0a9d88b · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Normalization layers are all that sharpness-aware minimization needs,
Reference 17
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Observation 1e4718cf-678f-4aea-a4ab-60c3e4118d0a · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization The crucial role of normalization in sharpness-aware minimization,
Reference 18
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Observation 5e0af7c1-76dc-448c-81f1-15c192d79b3c · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization {\mu}P$^2$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
Reference 19
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Observation 63c66f0e-8b21-4185-aaa2-93856f52294f · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Make sharpness-aware minimization stronger: A sparsified perturbation ap- proach,
Reference 20
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Observation 46490b11-144e-4a63-9a4c-0d7cc5d32e06 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Improving sharpness-aware minimization with fisher mask for better generalization on language models,
Reference 21
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Observation 10383105-9550-4034-a2d7-c61e26a3e59f · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Layer-wise adaptive gradient norm penalizing method for efficient and accurate deep learning,
Reference 22
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Observation 5e4ae9a8-4e1f-4952-ace6-6125b2eb3676 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Sparse layer sharpness-aware minimization for efficient fine- tuning,
Reference 23
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Observation 575e29f5-1c5b-4645-8711-adb660c55f69 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Three Factors Influencing Minima in SGD
Reference 24
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Observation 67b51e01-97f2-4f0a-925f-0a7566b752c9 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Sharpness-aware minimization and the edge of stability,
Reference 25
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Observation 5c574b5e-3ce1-4004-b9f8-4a8cf373f55c · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Gradient norm aware minimization seeks first-order flatness and improves generalization,
Reference 26
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Observation 914cd6a9-d95a-480c-9e88-76b17312cc99 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Cr-sam: Curvature regularized sharpness-aware minimization,
Reference 27
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Observation b2e2e549-0f85-4ccc-bcda-1890542e7b78 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Adam: A Method for Stochastic Optimization
Reference 28
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Observation c1d0a0c0-cb41-4c1d-ab71-12959f5ed501 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Computing a trust region step,
Reference 29
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Observation 99b83492-f294-4ed9-85bc-09d4f0a14463 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Pyhessian: Neural networks through the lens of the hessian,
Reference 30
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Observation 656d04cf-bdaa-4ce2-9905-c59e796e3471 · outbound
Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization O2u-net: A simple noisy label detection approach for deep neural networks,
Reference 31
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No inbound Pith citation observations are available.