Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.07515.
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 2026-08-15T19:24:23.174573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T15:30:07.697657Z
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 58ead8e5-c66d-4640-9d95-0083967545fe · inbound
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation cites this paper.
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:24:23.174573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09a162f1-101f-4fe0-a6e1-b2269c26eded · inbound
NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning cites this paper.
NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:30:07.701438Z
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 47f89d5f-9438-46cc-b247-b299f2d55469 · inbound
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots cites this paper.
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:53:29.593787Z
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.