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Paper Citation Record · LEDGER

Adversarial Risk Bounds via Function Transformation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1810.09519.

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

pith.paper-citation-record.v1
1810.09519 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 2026-08-16T10:43:28.772776Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:59:54.189365Z

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 af7d5549-1d7d-4a90-9ded-a3a4724ad082 · 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 Risk Bounds via Function Transformation

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:00.869448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:11:00.869448Z digest=sha256:365db1d135e2bf06977a5ecd7caedf4ce8dd1af51e504abbfd884478590edf2d

Observation 81f22075-d376-4a62-8390-f47feadef002 · inbound

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

On the Generalization of Adversarially Trained Quantum Classifiers Adversarial Risk Bounds via Function Transformation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T10:43:28.772776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:43:28.772776Z digest=sha256:76354125eba2699d1e298cffb087765c303b86393b5e794f8d1c632045245ec5

Observation d00caf52-d13a-493a-94c0-20859377a48d · inbound

Adversarial Training from Mean Field Perspective cites this paper.

Adversarial Training from Mean Field Perspective Adversarial Risk Bounds via Function Transformation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:15.444750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:15.444750Z digest=sha256:5ced03120e5df410e62e0233097a8e4189144798168047c26582f6924c0bfa14

Observation 586252d8-f63e-4b1f-a893-6b517cd3fe98 · inbound

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation cites this paper.

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation Adversarial Risk Bounds via Function Transformation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:59:54.263655Z

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=2026-08-07T11:59:48.727231Z digest=sha256:3c29b4354130489354e5f6a52c1595ec0f606c3a7c6032c6c0bcb577e9590e26