Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.02755.
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 2026-08-16T12:33:25.937270Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:34:09.337186Z
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 67ee1de3-2208-419c-a311-c9bb537f2229 · inbound
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma cites this paper.
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:16:21.614612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34c4f3d1-8cc1-40b0-bf5a-e335ffff6bea · inbound
Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies cites this paper.
Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T05:34:09.344977Z
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.
Observation 1da37462-05f7-4e0a-853a-f01503042733 · inbound
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition cites this paper.
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:33:25.937270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.