Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.10667.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:53:24.911881Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:56:37.629626Z
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 33f5c51d-2911-4274-8c59-ae270de3cc97 · inbound
Machine Learning Driven Smishing Detection Framework for Mobile Security cites this paper.
Machine Learning Driven Smishing Detection Framework for Mobile Security Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:53:24.911881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 993129cc-49ed-4d96-9540-a1bc257f087e · inbound
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents cites this paper.
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:56:37.636408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 15c7da19-73b2-4192-ad9a-b2fab378bfa5 · inbound
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning cites this paper.
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:05:48.383325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.