Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10949.
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 2026-08-10T19:08:00.354941Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:03:51.305662Z
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 783ceb5d-8bb9-497c-9cf2-7af5edd25edc · inbound
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning cites this paper.
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:08:00.354941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 985fcbea-d805-44ba-9fee-a5058d3c1c5d · inbound
Learning to Orchestrate Agents under Uncertainty cites this paper.
Learning to Orchestrate Agents under Uncertainty The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:03:51.307523Z
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.