Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.03418.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:04.947879Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T23:02:30.342060Z
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 0bdebd27-9a32-4f32-8414-218acf46042c · inbound
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning cites this paper.
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T23:02:30.347307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation df0c080e-0455-4d2b-b1a0-7ef7653d0d3a · inbound
RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios cites this paper.
RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:28:04.947879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f481fcd3-c1fa-4b8f-8883-ca6a02257243 · inbound
REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving cites this paper.
REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:57:09.829200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f28538b-c4dd-48b1-b580-b9c7fbe13828 · inbound
Real-Time Rulebook-Aware Nonlinear MPC for Autonomous Driving with Priority-Biased Tiered Slacks cites this paper.
Real-Time Rulebook-Aware Nonlinear MPC for Autonomous Driving with Priority-Biased Tiered Slacks Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:55:47.857402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5338b2ee-53af-477c-a7e6-b8ea2f66c60c · inbound
Weight Certificates for Convex Multi-Objective MPC: Geometric Characterization, $\ell^1$ Construction, and $\ell^2$ Foreclosure cites this paper.
Weight Certificates for Convex Multi-Objective MPC: Geometric Characterization, $\ell^1$ Construction, and $\ell^2$ Foreclosure Responsibility-Sensitive Safety: an Introduction with an Eye to Logical Foundations and Formalization
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:19:57.105056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.