Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.01119.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:07.974057Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T23:38:10.847114Z
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 286d3d52-d0f8-4888-9150-dbd27e923e88 · inbound
Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning cites this paper.
Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T23:38:10.850797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b15621d1-84b3-4961-acda-ee9de0adad26 · 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 Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:31:07.974057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.