Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.05393.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:32:55.493793Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T11:01:30.207450Z
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 f51d5b1f-170d-4ea0-b1f7-750cdc339417 · inbound
Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning cites this paper.
Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:32:55.493793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc70e7a6-d362-473f-a786-6da3c1d3d1f4 · inbound
Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks cites this paper.
Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:01:30.209931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.