Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.19519.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T05:20:51.402621Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T00:03:20.088587Z
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 14c026cf-27f4-4ed7-a200-e7091ce2aca8 · inbound
Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks cites this paper.
Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:20:51.402621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f80582d-f948-410b-861c-f0274d953e72 · inbound
ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations cites this paper.
ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:03:20.090173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.