Paper Citation Record · LEDGER

Surrogate Gap Minimization Improves Sharpness-Aware Training

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2203.08065.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.08065 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:24.992698Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T13:09:50.640284Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 94bd5599-701d-4256-81db-8608f6d73c7b · inbound

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization cites this paper.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.772011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f107e0-d210-4c65-886f-1c51267e4ef0 · inbound

DiM: $f$-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation cites this paper.

DiM: $f$-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T17:42:25.959460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5069b185-10d9-4218-bf7b-4ca8f29e972f · inbound

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes cites this paper.

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:16.988331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84beb3d-07a5-417e-a027-b7ddd93f01bf · inbound

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think cites this paper.

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:42.428917Z

Source-reported events for the cited work

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Observation df0d2c4e-e2d0-4820-9e1b-d6ab701b3219 · inbound

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization cites this paper.

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T17:03:52.756812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286444d5-a752-489c-9556-1abe146efc78 · inbound

CGD: Modifying the Loss Landscape by Gradient Regularization cites this paper.

CGD: Modifying the Loss Landscape by Gradient Regularization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:17:24.992698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35aad018-5cbe-41e1-89cd-d7dae2ef0216 · inbound

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning cites this paper.

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:25:30.172502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3ca6c2-8d02-4bc4-8df5-2e27826da636 · inbound

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization cites this paper.

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:06.318865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0ee24f-7e30-46b1-aa85-b5ce7b570465 · inbound

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization cites this paper.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:12.010013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c866b0-7b5d-4199-be01-49ece54bf2c4 · inbound

GLAD: Generalizable Tuning for Vision-Language Models cites this paper.

GLAD: Generalizable Tuning for Vision-Language Models Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T16:37:24.063644Z

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Unavailable: canonical work link unavailable.

Observation af9b296c-3b89-4e9a-8992-0048341a7b78 · inbound

Domain-Generalization to Improve Learning in Meta-Learning Algorithms cites this paper.

Domain-Generalization to Improve Learning in Meta-Learning Algorithms Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:26.466413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6113dda7-19af-4004-b07e-f90d1d3bee89 · inbound

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning cites this paper.

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:46.612606Z

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Unavailable: canonical work link unavailable.

Observation 53268e6d-f1aa-4d7b-bfac-b7783a1423a6 · inbound

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping cites this paper.

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:12:22.373476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c14935d7-8666-48bc-a347-a7b9b035360d · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:37:24.439668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation feb4ee73-03c2-43d8-9326-3d88681e4b14 · inbound

A Faster Path to Continual Learning cites this paper.

A Faster Path to Continual Learning Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.618219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d9cf725-921f-45e2-9a0b-8f6f03cda110 · inbound

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts cites this paper.

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:33:18.945944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f68c6bbf-7de2-430d-b5e9-c1b42cf27153 · inbound

Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization cites this paper.

Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:38.018213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ab272f2-61e6-4eeb-ae46-c1db63d1ea40 · inbound

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI cites this paper.

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:50.642011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e28e237a-6500-45ab-99bf-4371e40e4e90 · inbound

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers cites this paper.

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 142

Resolution: unresolved; no resolver link, observed 2026-07-11T22:10:49.683444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e851ae5-8054-451c-9c31-d6e90880e71a · inbound

Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization cites this paper.

Gradient-Energy Guided Block-Wise Perturbations for Sharpness-Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:36:55.916937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.