Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:47:46.497809Z
Paper Citation Record · LEDGER
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.00487.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy10
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7d3ce2de-b70e-48be-ace9-b80a58cf75d2 · outbound
This paper cites An adversarial attacker for neural networks in regression problems,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks An adversarial attacker for neural networks in regression problems,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.714748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1cf8bfc8-bb16-4048-a58d-f82be2ca9e78 · outbound
This paper cites Overparameterized linear regression under adversarial attacks,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Overparameterized linear regression under adversarial attacks,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.698467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c4d0e60d-83a7-4113-8270-a9cecc214ce8 · outbound
This paper cites On the adversarial robustness of linear regression,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks On the adversarial robustness of linear regression,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.682929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbd8d648-98e4-4cd0-9c64-b177b3f7ca02 · outbound
This paper cites Adversarial examples in deep learning for multivariate time series regression ,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Adversarial examples in deep learning for multivariate time series regression ,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.665967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0f642962-10f4-4a59-8b1e-bf563c4df4b8 · outbound
This paper cites Adversarial Attacks on Regression Systems via Gradient Optimization ,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Adversarial Attacks on Regression Systems via Gradient Optimization ,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.650036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6ab8761-2338-4817-b278-1e8642606b91 · outbound
This paper cites White-box target at tack for EEG -based BCI regression problems ,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks White-box target at tack for EEG -based BCI regression problems ,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.633885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5f2be8b0-b090-4bca-b7ff-89c44c5f65cf · outbound
This paper cites Detecting and mitigating adversarial examples in regression tasks: A photovoltaic power generation forecasting case study ,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Detecting and mitigating adversarial examples in regression tasks: A photovoltaic power generation forecasting case study ,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.618348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 27e34e85-ab20-4703-b252-2a2348d6183a · outbound
This paper cites Perturbation analysis of learning algorithms: Generation of adversarial examples from classification to regression,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Perturbation analysis of learning algorithms: Generation of adversarial examples from classification to regression,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.603053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ea9d2e2d-2747-4af6-b2b7-39c8f10eaf4c · outbound
This paper cites Robust nonparametric regression under poisoning attack,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks Robust nonparametric regression under poisoning attack,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.587201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04344c6f-fd67-45c8-9aa6-a5132aa545e9 · outbound
This paper cites An analysis of adversarial attacks and defenses on autonomous driving models,.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks An analysis of adversarial attacks and defenses on autonomous driving models,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:47:46.570867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f860568d-5184-4f6c-bb45-6e695062bcb8 · outbound
This paper cites Imperceptible Adversarial Attacks on Tabular Data.
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.
Observation cd7caa7f-3ed7-4059-bcd7-e1bbf5149250 · outbound
This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:47:46.497809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.