Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.11701.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.255980Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T04:29:29.125699Z
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 d43ebeda-afe1-47c4-8427-83181a5d56d5 · inbound
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination cites this paper.
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:29:20.255980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f3ddb2f-05cf-414a-a3a4-0afefb1430ba · inbound
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story cites this paper.
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T04:29:29.132849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 03c9e4db-59e0-4a74-803c-09ace9d15cf4 · inbound
NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming cites this paper.
NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:27:35.156745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.