Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:20.987676Z
Paper Citation Record · LEDGER
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
As of 21 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2505.07854.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:17:44.616296Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4082e0fc-b354-4248-9a6a-ce4298bd85e2 · outbound
This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:21:20.981396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1593186a-49aa-4527-a496-fde643b48b48 · outbound
This paper cites Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Reference 1116
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:21:20.987676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 5123f11f-626b-4cbd-81e8-7b16769cefd0 · inbound
Graph-Enhanced Policy Optimization in LLM Agent Training cites this paper.
Graph-Enhanced Policy Optimization in LLM Agent Training CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:17:44.616296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.