Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pok\'eChamp: an Expert-level Minimax Language Agent
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.04094.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:51:57.982375Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T11:05:01.503411Z
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 50f68584-3649-4ff7-87a1-a558dec7c283 · inbound
TextAtari: 100K Frames Game Playing with Language Agents cites this paper.
TextAtari: 100K Frames Game Playing with Language Agents Pok\'eChamp: an Expert-level Minimax Language Agent
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:51:57.982375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 683c881f-6ba4-4750-bc05-faf21f9a9e10 · inbound
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra Pok\'eChamp: an Expert-level Minimax Language Agent
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:28:43.540532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afa96943-4667-4d50-9527-0a18e4e8df3b · inbound
GameDevBench: Evaluating Agentic Capabilities Through Game Development cites this paper.
GameDevBench: Evaluating Agentic Capabilities Through Game Development Pok\'eChamp: an Expert-level Minimax Language Agent
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:15:57.153552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fed3dd22-730b-4792-887d-16c64b7709fe · inbound
Automatic Generation of High-Performance RL Environments cites this paper.
Automatic Generation of High-Performance RL Environments Pok\'eChamp: an Expert-level Minimax Language Agent
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:05:01.505465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 00db5a6d-e62b-46c9-ae96-afd620061eea · inbound
OpenGame: Open Agentic Coding for Games cites this paper.
OpenGame: Open Agentic Coding for Games Pok\'eChamp: an Expert-level Minimax Language Agent
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:06:03.733068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4051699f-96c0-4d77-8399-871979c2285f · inbound
Continual Harness: Online Adaptation for Self-Improving Foundation Agents cites this paper.
Continual Harness: Online Adaptation for Self-Improving Foundation Agents Pok\'eChamp: an Expert-level Minimax Language Agent
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:56:27.067224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.