Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.12932.
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 2026-08-15T18:27:59.634147Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T20:17:47.822566Z
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 ae5aff59-c9ee-4da2-89a2-d44c6744c37b · inbound
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation cites this paper.
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:17:47.834035Z
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 efeff661-f4eb-4e83-84ac-7f70706efb8b · inbound
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects cites this paper.
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
Reference 124
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:27:59.634147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.