Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.16962.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:35:00.157717Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T00:51:56.208412Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 2d6b6a55-a5f5-4056-bae8-e47618335c2e · inbound
{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function An $\alpha$-potential game framework for $N$-player dynamic games
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 059418f1-ebe5-484a-8092-ec764ce577d2 · inbound
Distributed games with jumps: An $\alpha$-potential game approach An $\alpha$-potential game framework for $N$-player dynamic games
Reference 17
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 c155a2a7-d4da-40c2-8f39-1a3a8969cd97 · inbound
Asymmetric Network Games: $\alpha$-Potential Function and Learning An $\alpha$-potential game framework for $N$-player dynamic games
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b277d56-1acc-4254-80ed-edd8fbab6fd5 · inbound
NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning An $\alpha$-potential game framework for $N$-player dynamic games
Reference 4
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.