Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:37:11.217493Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 100 of 193 outbound references and 1 inbound Pith citation observation for arXiv:2506.15506.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:37:11.217493Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T06:17:07.660975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T14:43:31.522207Z
100 of 193 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 1
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c359a44-a9c3-4c82-89fd-376e6950a2e7 · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 5
Source-reported events for the cited work
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Observation e833cb2e-c9ce-4cea-8d3c-17051c0bef36 · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 6
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications
Reference 8
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Observation 8977d569-b133-4f39-8e4f-b64e01914da1 · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
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Unavailable: canonical work link unavailable.
Observation b273152b-892a-43e9-939d-7dfb19e034fd · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Psannis, Sotirios Goudos, and Panagiotis Sarigiannidis
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Imperceptible Adversarial Attacks on Tabular Data
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Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 14
Source-reported events for the cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Observation a5cf8fa5-9cab-4c58-8e6d-08e26a8ec2d4 · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 21
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Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 23
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 24
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 27
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 28
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 29
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Observation 7935a7c0-df95-4a32-9031-5f92f438810a · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 35
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 49
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Feature Importance Guided Attack: A Model Agnostic Adversarial Attack
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
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Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 96
Source-reported events for the cited work
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Observation ace01bf2-8e99-4bab-83a3-48037c1253cf · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 97
Source-reported events for the cited work
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Observation edd20b71-7fad-4096-b9b2-bb1c0124f31c · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Reference 98
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Observation edabfc0a-36d7-48cb-852b-84d0bfb523cd · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 99
Source-reported events for the cited work
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Observation db47e6cd-7454-4a94-a873-6c2ee083f788 · outbound
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Unresolved cited work
Reference 100
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When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review
Reference 32
Source-reported events for the cited work
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