Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:12:35.480611Z
Paper Citation Record · LEDGER
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization
As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2509.03110.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
Reference resolution
57 of 57 outbound references displayed
- verified exact6
- verified fuzzy35
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c3df81d5-a9b9-4f62-8b19-f1a8d59d465a · outbound
This paper cites Towards understanding sharpness-aware minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Towards understanding sharpness-aware minimization
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.880625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c57dff82-1239-4736-8dfe-4d8778822dfe · outbound
This paper cites Tensor programs v: Tuning large neural networks via zero-shot hyperparameter transfer.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Tensor programs v: Tuning large neural networks via zero-shot hyperparameter transfer
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.861236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34f9c036-c826-4470-845e-68f2f7ac3762 · outbound
This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.836229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ea4f51d3-ee42-4ea6-8454-d3ab5cbb1359 · outbound
This paper cites mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:12:35.985578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99d6613a-b92c-45db-9c75-9b63d2e720c6 · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:12:36.811434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f455a677-72b8-43c7-9de9-95c37be8a502 · outbound
This paper cites Beyond local sharpness: Communication-efficient global sharpness-aware minimization for federated learning.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Beyond local sharpness: Communication-efficient global sharpness-aware minimization for federated learning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.784325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f7c5d364-69b5-4966-a16d-61c2f6e9cb2d · outbound
This paper cites Entropy-SGD: Biasing Gradient Descent Into Wide Valleys.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:34.202549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d13d4e1e-2f8b-4ed4-a064-ec775f96c794 · outbound
This paper cites Parle: parallelizing stochastic gradient descent.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Parle: parallelizing stochastic gradient descent
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:12:35.925622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c77cb239-3a92-4957-a2ae-48805c029d3b · outbound
This paper cites Diffusive G ibbs sampling.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Diffusive G ibbs sampling
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.763818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fdc14fa1-414c-4714-9b04-77dd8328d4d0 · outbound
This paper cites Improved analysis for a proximal algorithm for sampling.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Improved analysis for a proximal algorithm for sampling
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.746971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7e62e66b-1266-4213-8e91-c98a072631ea · outbound
This paper cites Convergence rate in a nonlinear two-time-scale stochastic approximation with state (time)-dependence.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Convergence rate in a nonlinear two-time-scale stochastic approximation with state (time)-dependence
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-05T11:12:35.557489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5e2369b0-0bdd-49d0-827a-d6b065693f34 · outbound
This paper cites An iterative thresholding algorithm for linear inverse problems with a sparsity constraint.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.726809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f2e0e66f-168e-464a-ba42-6cfe5d468fa3 · outbound
This paper cites Grawa: Gradient-based weighted averaging for distributed training of deep learning models.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Grawa: Gradient-based weighted averaging for distributed training of deep learning models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.705341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4206ee04-ccb7-4e0a-b235-0b9accac35c4 · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 14
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T11:12:35.896863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d6c3149-f13f-4249-8046-3c69e9321a8d · outbound
This paper cites Efficient sharpness-aware minimization for improved training of neural networks.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Efficient sharpness-aware minimization for improved training of neural networks
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.681019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 22707330-89f0-4c17-80f4-49a7c83b4077 · outbound
This paper cites Locally estimated global perturbations are better than local perturbations for federated sharpness-aware minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Locally estimated global perturbations are better than local perturbations for federated sharpness-aware minimization
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.661064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa12d06b-cbb3-4b9f-b446-68f7077adf3b · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:12:36.642781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 65dabd30-2b79-40a4-b980-a3d632b10ee6 · outbound
This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Sharpness-Aware Minimization for Efficiently Improving Generalization
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.236623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f83a943e-d5f8-4ba6-b4f3-704cd3d30631 · outbound
This paper cites Willard Gibbs.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Willard Gibbs
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.620959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a0b231e1-100e-4936-bd57-9f4a98f1c539 · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:12:36.597982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 17cd3d59-b9dd-485b-a1d5-c851cf22cd3e · outbound
This paper cites Deep residual learning for image recognition.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Deep residual learning for image recognition
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.275581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e85090fd-7afc-43d9-bbb7-2c3e11332090 · outbound
This paper cites Flat minima.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Flat minima
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.567029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 742f9dce-caa4-4504-b5f0-6094eea7387b · outbound
This paper cites Reverse diffusion monte carlo.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Reverse diffusion monte carlo
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.547539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e1cc1aac-2f20-465a-b100-5a13141f789c · outbound
This paper cites Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:12:35.696332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9c60d60-9229-44ac-beb2-f72baaa4b16b · outbound
This paper cites On large-batch training for deep learning: Generalization gap and sharp minima.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization On large-batch training for deep learning: Generalization gap and sharp minima
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.299285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e56adeb-6150-463b-b24a-0379b1d990f4 · outbound
This paper cites Smooth minima: A convex relaxation framework for optimizing flatness.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Smooth minima: A convex relaxation framework for optimizing flatness
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.517876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 42d1195c-a7a2-4167-a97c-56c23ef5cd2e · outbound
This paper cites Adam: A method for stochastic optimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Adam: A method for stochastic optimization
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.499642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ff6206ee-7c99-40e8-b170-d8d4781f1151 · outbound
This paper cites Learning multiple layers of features from tiny images.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Learning multiple layers of features from tiny images
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.482056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a889a4d-dd39-4218-a1d5-24882207738a · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:12:36.461902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aa3ec2d4-514f-4339-9627-15db32027d00 · outbound
This paper cites Asam: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Asam: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.439894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 483e598b-2413-4203-8a37-5e648200ba9e · outbound
This paper cites Gradient-based learning applied to document recognition.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Gradient-based learning applied to document recognition
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.331502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b212376-ace6-4622-a39f-21dc1b90b358 · outbound
This paper cites Structured logconcave sampling with a restricted gaussian oracle.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Structured logconcave sampling with a restricted gaussian oracle
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.417423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6796fb7b-1a09-44d9-be80-cc7f967f4e44 · outbound
This paper cites Entropy- MCMC : Sampling from flat basins with ease.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Entropy- MCMC : Sampling from flat basins with ease
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.396433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b19c4ad3-8815-4b43-8caa-d14c2d46e277 · outbound
This paper cites Friendly sharpness-aware minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Friendly sharpness-aware minimization
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.372760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a90be5dc-f873-4e5a-bffd-702a79f75de2 · outbound
This paper cites Towards Efficient and Scalable Sharpness-Aware Minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Towards Efficient and Scalable Sharpness-Aware Minimization
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:12:35.672005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 247f9712-ccdc-4f40-a263-cf067f23e08d · outbound
This paper cites Rosenbluth, Marshall N.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Rosenbluth, Marshall N
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.352128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 068122ec-b5c0-4d92-af7c-74b91d8ee50d · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.367595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9a83767-34ec-4111-a0dc-46a41b517deb · outbound
This paper cites A method for solving a convex programming problem with convergence rate \( O (1/k^2)\).
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization A method for solving a convex programming problem with convergence rate \( O (1/k^2)\)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.327230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 16e9b678-3739-4db8-a479-43b68e341217 · outbound
This paper cites Bissacco, Bo Wu, and A.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Bissacco, Bo Wu, and A
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.300563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6f42480e-51f6-4308-b4d6-dbee95282589 · outbound
This paper cites Exploring generalization in deep learning.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Exploring generalization in deep learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.278408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ebe8c6cf-d938-42d9-ab03-e4d9bf40511b · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Pytorch: An imperative style, high-performance deep learning library
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.256105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 20380170-9d3b-4f52-8a48-7b9a933f8853 · outbound
This paper cites Generalized federated learning via sharpness aware minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Generalized federated learning via sharpness aware minimization
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.233915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5654c2ec-641d-4a45-90a6-df7490a0d070 · outbound
This paper cites Flatsam: Federated learning with sharpness-aware minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Flatsam: Federated learning with sharpness-aware minimization
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.209994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b3c47585-3f6c-444a-8a13-9abb9e1562c3 · outbound
This paper cites Practical sharpness-aware minimization cannot converge all the way to optima.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Practical sharpness-aware minimization cannot converge all the way to optima
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.191229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b57801da-6cd3-4f61-b067-dbdeb21a499b · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.414067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68c230e0-0038-4fdb-94fe-14126b1329ae · outbound
This paper cites AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.420761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37c7c8ef-994c-4752-aa08-8d4c6d698cd6 · outbound
This paper cites Dynamic regularized sharpness aware minimization in federated learning: approaching global consistency and smooth landscape.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Dynamic regularized sharpness aware minimization in federated learning: approaching global consistency and smooth landscape
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.170202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9bd94ccf-889b-4bec-9ace-283d035c7418 · outbound
This paper cites an unresolved cited work.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:12:36.147175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fae060c1-0980-40d2-a279-d362bcc66190 · outbound
This paper cites Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:12:35.607516Z
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Observation 4153f3d2-b714-4f1c-8e82-3ef19471ee3a · outbound
This paper cites Bayesian learning via stochastic gradient langevin dynamics.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Bayesian learning via stochastic gradient langevin dynamics
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.129162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 385e237f-36d3-4e99-a174-4a74ffb1b170 · outbound
This paper cites How sharpness-aware minimization minimizes sharpness? In The Eleventh International Conference on Learning Representations, 2023 a.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization How sharpness-aware minimization minimizes sharpness? In The Eleventh International Conference on Learning Representations, 2023 a
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.105417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 99f44950-fad9-4dc0-90d6-7e4df458e5d2 · outbound
This paper cites Sharpness-aware minimization revisited: Weighted sharpness as a regularization term.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Sharpness-aware minimization revisited: Weighted sharpness as a regularization term
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.080218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 873100ee-0551-43d5-b262-29b2cc9f45a3 · outbound
This paper cites Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.059358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7fdd96b6-38aa-4200-9920-9b8a3d07929c · outbound
This paper cites Wide Residual Networks.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Wide Residual Networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.464595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22469141-0b9b-49ee-bc6d-cb70dda5db2e · outbound
This paper cites mixup: Beyond empirical risk minimization.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization mixup: Beyond empirical risk minimization
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.470952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61b2bd6a-ad3a-4cb8-a143-0e7bdc693044 · outbound
This paper cites Zhang, A.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Zhang, A
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.026559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 73df0760-6c3f-4bd0-9106-c5b688854efd · outbound
This paper cites Diffusion-based adversarial training produces robust models.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Diffusion-based adversarial training produces robust models
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:12:36.007786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
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