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Paper Citation Record · LEDGER

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

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.

pith.paper-citation-record.v1
2010.03593 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:10:29.932746Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

144
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 925c72a1-28ff-42a9-91e9-3de151f663e8 · inbound

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training cites this paper.

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:53:29.803086Z

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.

source=pdf_text observed=2026-05-23T21:50:40.105297Z digest=sha256:9cff5c01f1f988ccd0d1b2eabd3a27d91f61b0e00d4b611a565abcd45ea9dc45

Observation 42f99789-0cb5-4a00-935a-46a0d1c0e7a3 · inbound

Towards Generalized Certified Robustness with Multi-Norm Training cites this paper.

Towards Generalized Certified Robustness with Multi-Norm Training Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:03:24.483447Z

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.

source=arxiv_source observed=2026-05-23T19:59:54.127391Z digest=sha256:888f1f5665c93bc7a8cf7b95f8c7c861dca509779682e300aa4b15966dda1d20

Observation 11a12567-367b-4e34-9323-ad3a729219dd · inbound

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation cites this paper.

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:29.932746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:29.932746Z digest=sha256:c338898d49836b2cb0fb76f3dc4795c371ac3ff127f6b9f5f90a6c63f49b464e

Observation 86dce101-684d-4eb0-9046-bba4fdcfe668 · inbound

Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T11:49:51.271651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:49:51.271651Z digest=sha256:e5db6a74fc5e1f8ba178ceb8904ad10fa81bc28f55313c76bf3cf26b05e53916

Observation 15fd2450-ae4b-4528-9919-2862647a8517 · inbound

RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function cites this paper.

RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T11:48:52.140482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:48:52.140482Z digest=sha256:685108e3d4bd7c6d8f23a6761de9c1c06a63373a8f1998dc50014559707cf26a

Observation a4eadba4-1f39-4a21-ad3a-b1f83c2f2840 · inbound

Nearest Neighbor Projection Removal Adversarial Training cites this paper.

Nearest Neighbor Projection Removal Adversarial Training Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:52:46.243925Z

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.

source=pdf_text observed=2026-05-18T17:52:07.157102Z digest=sha256:ca3c18a4a6b1eeb9f231abd7874d18eb150bea474a4cb53da3639957c2029e15

Observation 501c8b37-5826-4f50-a6c4-d0a7ea7e87b4 · inbound

Adversarial Robustness in One-Stage Learning-to-Defer cites this paper.

Adversarial Robustness in One-Stage Learning-to-Defer Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T20:54:21.768109Z

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.

source=pdf_text observed=2026-05-21T20:50:49.125067Z digest=sha256:e8a0631b4af95a4d9ef24c5dc75e7e2d381ee6883f087f4fe38e68022dcfe4df

Observation 2c5d9622-5ad6-4b21-9031-5547a0857da1 · inbound

Adversarial Robustness in One-Stage Learning-to-Defer cites this paper.

Adversarial Robustness in One-Stage Learning-to-Defer Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-04T10:16:30.970275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:16:30.970275Z digest=sha256:9dba483cd36a7cbbce13892e84c61769f15809805e96e0367410b7ad8d229dcf

Observation 92fd86f0-0ab4-423c-b4f8-5563b4c0ec22 · inbound

Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation cites this paper.

Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:53:43.114800Z

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.

source=pdf_text observed=2026-05-16T23:51:34.017413Z digest=sha256:fffea2ada4abfbab56c6c20ea69fd214f3d5fc3d3b450409322e02979f638a32

Observation 54d7aa69-0da8-4139-96ff-1c8c4294adb6 · inbound

Detecting Adversarial Data via Provable Adversarial Noise Amplification cites this paper.

Detecting Adversarial Data via Provable Adversarial Noise Amplification Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:26:06.119441Z

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.

source=pdf_text observed=2026-05-09T17:08:02.038221Z digest=sha256:7a9a480b7b8a0f56e878df2e02b4b56498471a503343e87d990f797efe1653a0

Observation 91eda8d3-4c3e-4b03-b820-f50afd250090 · inbound

Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:36:43.862977Z

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.

source=arxiv_source observed=2026-06-28T07:23:53.481722Z digest=sha256:40574af5a5d32da7cf33e6ad151dfa1175df29d7f26a53605350b1842e993870

Observation c2875d21-38f1-4be1-a55a-a456b2e41742 · inbound

The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:59:43.382171Z

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.

source=arxiv_source observed=2026-06-26T10:36:59.786179Z digest=sha256:ea5aa1e1fc3353fe2a11feab78839f545ead13ac94966a0615c53ea47bd3b189

Observation 7d03a0a3-8a36-40e1-ac1d-230ddad735e2 · inbound

Explaining Machine Learning and Memorization with Statistical Mechanics cites this paper.

Explaining Machine Learning and Memorization with Statistical Mechanics Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:05:28.431093Z

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.

source=pdf_text observed=2026-07-01T06:04:52.621553Z digest=sha256:01cd610272ec08d4f490739403eb0244e08432eae4328236a184a9f3da934749