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Paper Citation Record · LEDGER

Imperceptible Adversarial Attacks on Tabular Data

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.03274.

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

pith.paper-citation-record.v1
1911.03274 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:47:46.492899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:43:31.593949Z

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 5576bdd4-2252-4b38-a78c-38a97a72be1c · inbound

Addressing Key Challenges of Adversarial Attacks and Defenses in the Tabular Domain: A Methodological Framework for Coherence and Consistency cites this paper.

Addressing Key Challenges of Adversarial Attacks and Defenses in the Tabular Domain: A Methodological Framework for Coherence and Consistency Imperceptible Adversarial Attacks on Tabular Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:34.755858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:34.755858Z digest=sha256:9efaa00ed6fc1d3a1e2b1ef9cbfc6a165574966e9ec7e2caf0e844d316e100e3

Observation 8b51b3ab-bfb7-4269-9ccc-36553103ba0a · inbound

Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations cites this paper.

Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations Imperceptible Adversarial Attacks on Tabular Data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:16:00.518614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:00.518614Z digest=sha256:97469bf532678af343742cae80e1279513ad99cd3251fb171f367e638b80c421

Observation f860568d-5184-4f6c-bb45-6e695062bcb8 · inbound

Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks cites this paper.

Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Imperceptible Adversarial Attacks on Tabular Data

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T04:47:46.492899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:47:46.492899Z digest=sha256:41e98960854a7b1384361fde7246fa850fa703da15decf39f672e184dca215bb

Observation afe27733-5057-4a8b-b3ce-7c23aa385da7 · inbound

Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review cites this paper.

Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Imperceptible Adversarial Attacks on Tabular Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T19:37:10.866773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:37:10.866773Z digest=sha256:196efa1b1db33d3a63939c24b938d65bd01829f8408aeff25e84d9ba3293a920

Observation f28afa16-ef03-4d7a-9ef0-c4919895164f · inbound

When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech cites this paper.

When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech Imperceptible Adversarial Attacks on Tabular Data

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:43:31.595606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T06:17:07.660975Z digest=sha256:87bce14ca3ed74ccff8d39f6327ae14ae00687a80baf5a8d2297e189d7218fdd