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Paper Citation Record · LEDGER

Fooling Adversarial Training with Inducing Noise

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.10130.

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

pith.paper-citation-record.v1
2111.10130 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T09:08:05.044020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T09:10:33.830107Z

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 5fc15372-a469-4506-ac64-b2976f86e5ee · inbound

Nonlinear Transformations Against Unlearnable Datasets cites this paper.

Nonlinear Transformations Against Unlearnable Datasets Fooling Adversarial Training with Inducing Noise

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-25T09:10:33.833212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-25T09:08:05.044020Z digest=sha256:e75809b74f5d976e673484259b9c3f2febb6dad206db64d440d9d584450883c9

Observation 979f2881-708a-463f-9c5e-98b451b146d1 · inbound

Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms cites this paper.

Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms Fooling Adversarial Training with Inducing Noise

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:11:53.508272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T07:07:13.072332Z digest=sha256:50226b253139b0c1652b2e02dfd23dae3e85da369a634b308f2516db1576a22b

Observation 1612a680-556d-411d-b362-1cdbbee79fdd · inbound

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions cites this paper.

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions Fooling Adversarial Training with Inducing Noise

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:57.390800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T20:41:10.931383Z digest=sha256:293280f19e8a6204b0dbbe3ede4e6b48d396405aa33249b9a78cf35a829094e9