Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.10603.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:18:57.030594Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:27:24.474569Z
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 a5853eb5-71da-4db5-a308-a125ecdc7a41 · inbound
SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control cites this paper.
SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:18:57.030594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5412036-8f06-4b17-89b5-f3f69e69bb85 · inbound
Homing through Reinforcement Learning cites this paper.
Homing through Reinforcement Learning Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:21:02.654618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9666856d-575e-4f28-9c73-50ec4ae8b5be · inbound
Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning cites this paper.
Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:27:24.475999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.