Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Hanabi Challenge: A New Frontier for AI Research
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:25.834287Z
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 2026-08-10T06:31:04.303077+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.