Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.11196.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-10T21:26:24.410893Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
30
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 598d7bfc-750f-438d-990a-b2d5172c037f · inbound
Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning Safe Multi-Agent Reinforcement Learning via Shielding
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0606e34-004e-427b-9db7-b06074b89dfe · inbound
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Safe Multi-Agent Reinforcement Learning via Shielding
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e8495f5-7bb4-4c17-aac5-b40a550bdd1e · inbound
Efficient Dynamic Shielding for Parametric Safety Specifications Safe Multi-Agent Reinforcement Learning via Shielding
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa3f0ceb-416a-47f6-bfdb-9959c09d2369 · inbound
A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Safe Multi-Agent Reinforcement Learning via Shielding
Reference 32
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.
Observation 7a43f2c0-b18f-4aeb-888c-b911155a2a78 · inbound
Generating Local Shields for Decentralised Partially Observable Markov Decision Processes Safe Multi-Agent Reinforcement Learning via Shielding
Reference 3
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.