Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.06281.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T07:38:02.368884Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T15:08:33.546413Z
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 617dcdaf-fa4b-4c96-a99d-4b0259ed5207 · inbound
Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks cites this paper.
Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:08:33.547933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2efe041a-0c8f-4998-8889-6c5dfa84dc7b · inbound
Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning cites this paper.
Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T07:38:02.368884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.