Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.10142.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:44:45.472618Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:42:17.220035Z
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 fa6647ee-d9b5-4e74-8a23-87a5455b9c8a · inbound
Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium cites this paper.
Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:44:45.472618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99d49efc-d293-4d22-bcfd-f5d57f8d3d9b · inbound
Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics cites this paper.
Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:42:17.225127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.