Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2010.03593.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:10:29.932746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
144
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 925c72a1-28ff-42a9-91e9-3de151f663e8 · inbound
Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 42f99789-0cb5-4a00-935a-46a0d1c0e7a3 · inbound
Towards Generalized Certified Robustness with Multi-Norm Training Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 11a12567-367b-4e34-9323-ad3a729219dd · inbound
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86dce101-684d-4eb0-9046-bba4fdcfe668 · inbound
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15fd2450-ae4b-4528-9919-2862647a8517 · inbound
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4eadba4-1f39-4a21-ad3a-b1f83c2f2840 · inbound
Nearest Neighbor Projection Removal Adversarial Training Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 501c8b37-5826-4f50-a6c4-d0a7ea7e87b4 · inbound
Adversarial Robustness in One-Stage Learning-to-Defer Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2c5d9622-5ad6-4b21-9031-5547a0857da1 · inbound
Adversarial Robustness in One-Stage Learning-to-Defer Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 2014
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92fd86f0-0ab4-423c-b4f8-5563b4c0ec22 · inbound
Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 54d7aa69-0da8-4139-96ff-1c8c4294adb6 · inbound
Detecting Adversarial Data via Provable Adversarial Noise Amplification Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 91eda8d3-4c3e-4b03-b820-f50afd250090 · inbound
Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c2875d21-38f1-4be1-a55a-a456b2e41742 · inbound
The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7d03a0a3-8a36-40e1-ac1d-230ddad735e2 · inbound
Explaining Machine Learning and Memorization with Statistical Mechanics Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Reference 126
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.