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Paper Citation Record · LEDGER

Adversarial Training Can Hurt Generalization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1906.06032.

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

pith.paper-citation-record.v1
1906.06032 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:22:19.229507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T15:45:59.632853Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 280b127f-c0cf-4298-a440-29104fced916 · inbound

Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness cites this paper.

Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Adversarial Training Can Hurt Generalization

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-25T15:45:59.636140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T15:42:57.529773Z digest=sha256:45b1c2960a4546ed8ee641e1072812baac67cbceff7f7f72cdbbd7ef0a7c8cf6

Observation c63c6d64-fe27-4f42-808b-06d2de7a3bb2 · inbound

When Maximum Entropy Misleads Policy Optimization cites this paper.

When Maximum Entropy Misleads Policy Optimization Adversarial Training Can Hurt Generalization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:22:19.229507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:22:19.229507Z digest=sha256:82193b822c98f9b933073f1b1f488a22f73a4b5466ed5f32cd6a803f5243846e

Observation 3fb3cb18-7a56-41ee-aad5-997006c0baf9 · inbound

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training cites this paper.

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training Adversarial Training Can Hurt Generalization

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T17:35:48.413261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:35:48.413261Z digest=sha256:207233472aebcb2f78f5a000251853c982a6a61e07d387108ecbd8af77b56cc9

Observation df19ee37-92ce-4fd8-97be-32f3aa4a8bf0 · inbound

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

Benign Overfitting in Adversarial Training for Vision Transformers Adversarial Training Can Hurt Generalization

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:18.435712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T02:58:29.672338Z digest=sha256:f51239f4b6019f55165a03ff686dd5780b8f1bb953c36619c21354909fe8375e