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Paper Citation Record · LEDGER

Adversarial Rademacher Complexity of Deep Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.14966.

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

pith.paper-citation-record.v1
2211.14966 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:43:28.589017Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:11:00.979098Z

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 96f730d2-6f62-4803-959b-57ea9a2512ba · inbound

Adversarially robust generalization theory via Jacobian regularization for deep neural networks cites this paper.

Adversarially robust generalization theory via Jacobian regularization for deep neural networks Adversarial Rademacher Complexity of Deep Neural Networks

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:11:00.983825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:11:00.918770Z digest=sha256:ef2d7350f2e83cae94267b8f97c2c68ff327086cbb29f9b767d495c28fcb5c25

Observation 29a83de9-1d8e-484d-b2cc-9d380a820a09 · inbound

On the Generalization of Adversarially Trained Quantum Classifiers cites this paper.

On the Generalization of Adversarially Trained Quantum Classifiers Adversarial Rademacher Complexity of Deep Neural Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T10:43:28.589017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:43:28.589017Z digest=sha256:19547e1478130a16d75f36a65f4327f15c8a5f5813d6801bb7c7253e93042d76