Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.01812.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:00:05.690265Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:07:28.184775Z
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 629e1e0c-1794-41a9-9c89-f45ca2b7b740 · inbound
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning cites this paper.
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:00:05.690265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92668e01-f2ec-438f-a49a-5550761f0674 · inbound
Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning cites this paper.
Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:07:28.186341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.