Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:07.922367Z
Paper Citation Record · LEDGER
Light Aircraft Game : Basic Implementation and training results analysis
As of 7 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2506.14164.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
9 of 9 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1cff9fb9-eb41-4802-a372-4046bfc8210e · outbound
This paper cites Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning.
Light Aircraft Game : Basic Implementation and training results analysis Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.654898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40197884-7218-4cbc-9eda-ab5aeab03682 · outbound
This paper cites The StarCraft Multi-Agent Challenge.
Light Aircraft Game : Basic Implementation and training results analysis The StarCraft Multi-Agent Challenge
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.922367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcb8afab-e417-4282-b540-c6b2ce505fd0 · outbound
This paper cites A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.
Light Aircraft Game : Basic Implementation and training results analysis A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.583998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbe5760f-2516-4c4f-89ca-0910f1e1fae7 · outbound
This paper cites Soft Actor-Critic Algorithms and Applications.
Light Aircraft Game : Basic Implementation and training results analysis Soft Actor-Critic Algorithms and Applications
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.506079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7a71b39-099c-497a-b166-ee3f0ee49430 · outbound
This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.
Light Aircraft Game : Basic Implementation and training results analysis Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.338517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba6cdf49-57b7-4178-9cc2-847b9bc158a0 · outbound
This paper cites FACMAC: Factored Multi-Agent Centralised Policy Gradients.
Light Aircraft Game : Basic Implementation and training results analysis FACMAC: Factored Multi-Agent Centralised Policy Gradients
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.846834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e50c70c0-41c5-4384-993f-6d874788ef74 · outbound
This paper cites Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.
Light Aircraft Game : Basic Implementation and training results analysis Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.321075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 394f1c3e-d73e-48ac-9497-39555c94c967 · outbound
This paper cites SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning.
Light Aircraft Game : Basic Implementation and training results analysis SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.425085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85117d10-7982-41e9-95d2-7b098201d34d · outbound
This paper cites Maximum Entropy Heterogeneous-Agent Reinforcement Learning.
Light Aircraft Game : Basic Implementation and training results analysis Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:07.736906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.