Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2006.14911.
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 2026-07-23T06:31:01.910684+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T04:20:13.776011Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 9566dc07-23ef-42c9-aee6-9632eda3a377 · inbound
CRRL: A Causality-Based Reinforcement Learning Framework for Autonomous System Recovery cites this paper.
CRRL: A Causality-Based Reinforcement Learning Framework for Autonomous System Recovery Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T04:20:13.776011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.