Paper Citation Record · LEDGER

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2501.01529.

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

pith.paper-citation-record.v1
2501.01529 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:31:15.535239Z

measured 42 of 42 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:07:00.843833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:46:20.167359Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy25
unresolved14
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b2ee5c7-b910-4171-951c-55929a890a86 · outbound

This paper cites Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples, 2018.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples, 2018

Reference 1

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Observation 3b2a3267-44c4-41da-b3d5-178c450f1dbe · outbound

This paper cites Are transformers more robust than cnns?, 2021.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Are transformers more robust than cnns?, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.970570Z

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Observation af5c7c9a-ff3d-47b2-aabb-15698a65e0f4 · outbound

This paper cites End-to- end object detection with transformers.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers End-to- end object detection with transformers

Reference 3

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Observation 655a25be-35bd-4d1b-a63a-0f3e2e3c5909 · outbound

This paper cites Towards evaluating the robustness of neural networks, 2017.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Towards evaluating the robustness of neural networks, 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.951460Z

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Observation adc09830-c73a-43a1-a1f1-4dc39b5f3c63 · outbound

This paper cites On Evaluating Adversarial Robustness.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers On Evaluating Adversarial Robustness

Reference 5

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Observation 28f7f9ed-d5b7-412e-90fd-864d5da60248 · outbound

This paper cites an unresolved cited work.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Unresolved cited work

Reference 6

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Observation 389230b9-23fb-4e01-9aee-c950031ba6b7 · outbound

This paper cites Minimally distorted adversarial examples with a fast adaptive boundary attack.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Minimally distorted adversarial examples with a fast adaptive boundary attack

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.929611Z

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Observation 25a0c572-0b06-4fe2-aca2-18830d43bde6 · outbound

This paper cites Reliable evalua- tion of adversarial robustness with an ensemble of diverse parameter-free attacks, 2020.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Reliable evalua- tion of adversarial robustness with an ensemble of diverse parameter-free attacks, 2020

Reference 8

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Observation b770777f-daf7-490c-8cb6-8f0ab35d8620 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Observation 0fa9beba-a843-4708-bf73-9d33f242eed6 · outbound

This paper cites Convit: Improv- ing vision transformers with soft convolutional inductive bi- ases.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Convit: Improv- ing vision transformers with soft convolutional inductive bi- ases

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.908178Z

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

Observation af70a958-39ff-4d2f-8c0c-1a37a55c1ad0 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization, 2021.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Sharpness-aware minimization for efficiently improving generalization, 2021

Reference 11

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Observation 1bee6a2e-ff26-43fa-bc93-3e8600d727b8 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 12

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Observation 69b16792-d133-40e7-8c33-08caad33a5b5 · outbound

This paper cites Criticality leveraged adversarial train- ing (clat) for boosted performance via parameter efficiency,.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Criticality leveraged adversarial train- ing (clat) for boosted performance via parameter efficiency,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.880572Z

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Observation 156685d2-0ee2-4a53-999f-ef4666269287 · outbound

This paper cites Parameter-efficient fine-tuning for large models: A comprehensive survey, 2024.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Parameter-efficient fine-tuning for large models: A comprehensive survey, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.869528Z

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Observation 38efd15b-a740-4f46-8d2a-4faf7014c4f7 · outbound

This paper cites Deep residual learning for image recognition.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Deep residual learning for image recognition

Reference 15

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Observation f060ec63-2822-4a42-a12a-7ca7f284f64e · outbound

This paper cites Imagewang.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Imagewang

Reference 16

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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 18ab329a-5f0d-42e7-b188-e445eeaba622 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.841555Z

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 393e842d-66a1-4be7-84a2-947bb3014b69 · outbound

This paper cites Learning multiple layers of features from tiny images.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Learning multiple layers of features from tiny images

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.830622Z

Source-reported events for the cited work

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Observation b6adf4b6-f4fd-4c70-ad13-fc632e991bd0 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 19

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Observation 4166b745-39f1-47a0-8c8c-9d885ce6d74f · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:31:15.465654Z

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Observation a1a54b05-e159-4dd1-aae9-714244a84611 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Swin transformer: Hierarchical vision transformer using shifted windows

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.807693Z

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Observation bb39a224-031c-41c3-9339-cb14b3b7639b · outbound

This paper cites Towards deep learning models resistant to adversarial attacks, 2019.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Towards deep learning models resistant to adversarial attacks, 2019

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.796895Z

Source-reported events for the cited work

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Observation c8785828-ecd6-456e-90be-12d2d5ee5efb · outbound

This paper cites When adversarial training meets vision trans- formers: Recipes from training to architecture, 2022.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers When adversarial training meets vision trans- formers: Recipes from training to architecture, 2022

Reference 23

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Observation 6caae0be-0c6b-4e59-ab83-798596e0f690 · outbound

This paper cites When adversarial training meets vision trans- formers: Recipes from training to architecture.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers When adversarial training meets vision trans- formers: Recipes from training to architecture

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.772962Z

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

Observation 9465275d-0e87-452a-9963-d684b7deb7ad · outbound

This paper cites Scalable diffusion models with transformers.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Scalable diffusion models with transformers

Reference 25

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Observation ea3aa2ca-6747-4a75-92dd-8561272d11ae · outbound

This paper cites Zico Kolter.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Zico Kolter

Reference 26

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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 599fe677-121b-4314-839a-07a9ab186aa8 · outbound

This paper cites Davis, Gavin Taylor, and Tom Goldstein.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Davis, Gavin Taylor, and Tom Goldstein

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.744021Z

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 02edb797-632c-4277-b839-24ac73f626f4 · outbound

This paper cites One pixel attack for fooling deep neural networks.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers One pixel attack for fooling deep neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.733407Z

Source-reported events for the cited work

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Observation abdf3fdf-1a66-49b7-ae11-efe08b503edd · outbound

This paper cites In- triguing properties of neural networks, 2014.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers In- triguing properties of neural networks, 2014

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.722558Z

Source-reported events for the cited work

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Observation 97f7376a-1fe7-4b29-aa22-0853fe07b20c · outbound

This paper cites Deeper Insights into the Robustness of ViTs towards Common Corruptions.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Deeper Insights into the Robustness of ViTs towards Common Corruptions

Reference 30

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Observation 4bbae75e-9b75-4be3-878d-ebb7f52143c7 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Training data-efficient image transformers & distillation through at- tention

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.711221Z

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Observation 37ab9021-b8ed-4343-bad2-b76f9e09dfa8 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:31:15.507989Z

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Observation 5efa4a1d-a4ac-4f11-97ea-8c789608021b · outbound

This paper cites Spatially Transformed Adversarial Examples.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Spatially Transformed Adversarial Examples

Reference 33

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SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Unresolved cited work

Reference 34

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Observation 18d2dfa6-368c-49db-9e71-159580cd0f3a · outbound

This paper cites Dverge: diversifying vulnerabilities for enhanced robust generation of ensembles.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Dverge: diversifying vulnerabilities for enhanced robust generation of ensembles

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.682470Z

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

Observation eb723dba-c3cd-460b-bebf-84110c42af28 · outbound

This paper cites Wide residual net- works, 2017.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Wide residual net- works, 2017

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.670802Z

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

Observation 513b62ac-bb99-402a-b58d-f6dcec85ce08 · outbound

This paper cites Xing, Laurent El Ghaoui, and Michael I.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Xing, Laurent El Ghaoui, and Michael I

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.659044Z

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 27d86d65-8568-4e48-ba2b-d64bb9ba40d4 · outbound

This paper cites Autolora: Automatically tuning matrix ranks in low-rank adaptation based on meta learning, 2024.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Autolora: Automatically tuning matrix ranks in low-rank adaptation based on meta learning, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:31:15.647779Z

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 88d7d334-d303-4863-991f-65f11978ced2 · outbound

This paper cites On the Duality Between Sharpness-Aware Minimization and Adversarial Training.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers On the Duality Between Sharpness-Aware Minimization and Adversarial Training

Reference 39

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Source-reported events for the cited work

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Observation 728e2427-7838-4ec7-bda1-1d8c48235b0f · outbound

This paper cites Improving generalization of adversarial training via robust critical fine-tuning, 2023.

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers Improving generalization of adversarial training via robust critical fine-tuning, 2023

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T22:31:15.635409Z

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

Pith citing papers

Observation f22cee50-a357-48f4-81c5-f8d91366e1bf · inbound

Are Fast Methods Stable in Adversarially Robust Transfer Learning? cites this paper.

Are Fast Methods Stable in Adversarially Robust Transfer Learning? SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers

Reference 14

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Observation ebc2a687-23a8-4e7e-a764-20e38f1c058e · inbound

Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.

Benign Overfitting in Adversarial Training for Vision Transformers SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:20.333384Z

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