Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Reinforcement Learning Under Minimax Regret for Green Security
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.08413.
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 2026-08-15T16:57:22.179028Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T16:57:22.502985Z
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 a37267d3-21b6-4662-8a56-48d2ed3e8e3b · inbound
PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense cites this paper.
PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense Robust Reinforcement Learning Under Minimax Regret for Green Security
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T16:57:22.507666Z
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.