Paper Citation Record · LEDGER

Pok\'eChamp: an Expert-level Minimax Language Agent

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.04094.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.04094 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:28:43.540532Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.