Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.17540.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:00:51.178407Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:57:40.340365Z
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 4e647167-2af0-4239-bca4-02e8937b152b · inbound
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning cites this paper.
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:00:51.178407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42bf4eb4-6e1a-4074-bb89-82e345da14b9 · inbound
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication cites this paper.
TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:17:51.467579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3603498-d8ec-4585-ae22-691096eaa45e · inbound
The challenge of hidden gifts in multi-agent reinforcement learning cites this paper.
The challenge of hidden gifts in multi-agent reinforcement learning Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:57:40.393765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.