Paper Citation Record · LEDGER

The Hanabi Challenge: A New Frontier for AI Research

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1902.00506.

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

pith.paper-citation-record.v1
1902.00506 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:25.834287Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T00:55:09.598071Z

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 d3a9c101-3394-4c80-90d4-5eb86610449b · inbound

Diverse Agents for Ad-Hoc Cooperation in Hanabi cites this paper.

Diverse Agents for Ad-Hoc Cooperation in Hanabi The Hanabi Challenge: A New Frontier for AI Research

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:55:09.601518Z

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 24f8fd37-2e2d-4214-a70d-3970babd60d1 · inbound

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation cites this paper.

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation The Hanabi Challenge: A New Frontier for AI Research

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:25.834287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cedf5e4-2987-4804-8263-b0205314beb1 · inbound

Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics cites this paper.

Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics The Hanabi Challenge: A New Frontier for AI Research

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T12:38:46.588417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e89568-3c24-400c-8452-7e2185ba79b0 · inbound

How Much Can a Few Engine Moves Help? Quantifying Limited Cheating in Chess cites this paper.

How Much Can a Few Engine Moves Help? Quantifying Limited Cheating in Chess The Hanabi Challenge: A New Frontier for AI Research

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T11:44:25.557951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.