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Paper Citation Record · LEDGER

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.10913.

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

pith.paper-citation-record.v1
2509.10913 v1

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T17:30:02.312930Z

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 4435ba53-bc6f-47da-93df-6db4d9b1b483 · outbound

This paper cites write newline.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift write newline

Reference 1

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Observation f2b8809a-4afd-42da-9db4-e2cdb7ea4015 · outbound

This paper cites write newline.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift write newline

Reference 2

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Observation 5d5f6b5e-0866-40b7-9798-dc626a75bd7c · outbound

This paper cites , author Corona, I.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Corona, I

Reference 3

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Observation ced9d443-d030-4d80-9e68-cd6ad93b9790 · outbound

This paper cites (Certified!!) Adversarial Robustness for Free!.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift (Certified!!) Adversarial Robustness for Free!

Reference 4

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Observation 08947b39-1ec8-4e29-9ed4-8d4b71d9f807 · outbound

This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 5

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Observation 5ca303cd-c917-4bf4-b742-f137f53ee638 · outbound

This paper cites , author Rosenfeld, E.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Rosenfeld, E

Reference 6

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , & author Nichol, A

Reference 7

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Observation c99ca22c-85a5-4862-83bf-2100ffe79be2 · outbound

This paper cites MMA Training: Direct Input Space Margin Maximization through Adversarial Training.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Reference 8

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Observation a15c4d33-18d9-4eae-8e4c-357f67e169dd · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Explaining and Harnessing Adversarial Examples

Reference 9

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This paper cites , author Jain, A.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Jain, A

Reference 10

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This paper cites Learning with a Strong Adversary.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Learning with a Strong Adversary

Reference 11

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This paper cites , author Park, S.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Park, S

Reference 12

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , & author Shin, J

Reference 13

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Observation 9829860e-2d3d-493b-a269-52999ea49e06 · outbound

This paper cites Testing Robustness Against Unforeseen Adversaries.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Testing Robustness Against Unforeseen Adversaries

Reference 14

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Bottou, L

Reference 15

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Makelov, A

Reference 16

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Gehr, T

Reference 17

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Unresolved cited work

Reference 18

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Observation e9ed9ae7-21e3-4bac-b9ad-3545f7353df4 · outbound

This paper cites MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 19

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Reference 20

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Wong, E

Reference 21

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Li, J

Reference 22

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Sun, M

Reference 23

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Santurkar, S

Reference 24

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 25

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Denoising Diffusion Implicit Models

Reference 26

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Consistency Models

Reference 27

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Score-Based Generative Modeling through Stochastic Differential Equations

Reference 28

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Zhu, X

Reference 29

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Intriguing properties of neural networks

Reference 30

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , & author Boneh, D

Reference 31

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

Reference 32

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Bao, H

Reference 33

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Dai, J

Reference 34

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Zhang, H

Reference 35

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift ( year 2019 )

Reference 36

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , & author Kolter, Z

Reference 37

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Ilharco, G

Reference 38

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 39

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Robustifying Diffusion-Denoised Smoothing Against Covariate Shift MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Reference 40

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source=arxiv_source observed=2026-08-04T17:30:02.299481Z digest=sha256:e99694cc960ca2734e1461837f9f42a887f40ef5a758b083b1bcd93b965a9136

Observation cbbe465d-e3a9-4791-bc59-af40ec400c53 · outbound

This paper cites Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Reference 41

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source=arxiv_source observed=2026-08-04T17:30:02.302865Z digest=sha256:191fb250f22c5881c7beedbad178095da865da36ac28f7eb11423384e584c2a6

Observation 37797815-c702-4f78-99f3-b4a9f28276b8 · outbound

This paper cites , author Weng, T.-W.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Weng, T.-W

Reference 42

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source=arxiv_source observed=2026-08-04T17:30:02.306156Z digest=sha256:bf09ae35b17723ae3ee6037ddacdde5291b39d32842ab02d7bc0809e413afd75

Observation 6ea5be16-615b-47ff-bc8c-102e728db95c · outbound

This paper cites , author Isola, P.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Isola, P

Reference 43

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source=arxiv_source observed=2026-08-04T17:30:02.309430Z digest=sha256:885e6abedc2ef936b30f5ab3f665174e098fdc7d3559990b19c717cb1384ef26

Observation 3a55c94b-d818-48b7-9fa8-2782639a3d1b · outbound

This paper cites , author Song, G.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift , author Song, G

Reference 44

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source=arxiv_source observed=2026-08-04T17:30:02.312930Z digest=sha256:f8b4b7937e5fa2980615426748f442805a81ed3e9240af2614acc352b638b479

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