Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.09185.
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 2026-05-10T07:52:03.319874Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:52:13.550971Z
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 47066c60-7eb7-4be0-818d-25b48b97f883 · inbound
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization cites this paper.
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:52:13.552440Z
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.