Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
High-Order Control Barrier Functions: Insights and a Truncated Taylor-Based Formulation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.15014.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:05.113345Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:49:31.135345Z
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 238458a9-76a7-4f6c-97de-08748c7eaf6d · inbound
Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections cites this paper.
Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections High-Order Control Barrier Functions: Insights and a Truncated Taylor-Based Formulation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:09:05.113345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f6b82be-ee79-495c-a5a7-28340e90c581 · inbound
CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning cites this paper.
CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning High-Order Control Barrier Functions: Insights and a Truncated Taylor-Based Formulation
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:49:31.214934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.