Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.09621.
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 2026-08-15T18:31:07.966988Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T11:37:34.881514Z
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 8e86d275-52b2-43fc-8d95-ccf7d796d649 · inbound
Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications cites this paper.
Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T11:37:34.885025Z
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.
Observation 6ec6dc5a-988f-4048-baa7-71acd30d2610 · inbound
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks cites this paper.
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:31:07.966988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.