Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Maintaining Adversarial Robustness in Continuous Learning
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11196.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:02:20.650433Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:22:42.368195Z
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 85f9fdc3-9ff1-477c-b5d8-2efdec744b93 · inbound
Noise-Tolerant Coreset-Based Class Incremental Continual Learning cites this paper.
Noise-Tolerant Coreset-Based Class Incremental Continual Learning Maintaining Adversarial Robustness in Continuous Learning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:02:20.650433Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 509e13db-65f6-45e8-ad81-cc346a702f06 · inbound
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Maintaining Adversarial Robustness in Continuous Learning
Reference 188
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:01.111610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5168fb23-152c-47f3-b789-3f8e24089457 · inbound
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense cites this paper.
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense Maintaining Adversarial Robustness in Continuous Learning
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:22:42.371045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.