Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1801.04340.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:18:38.085158Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:18:43.600912Z
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 2bf896d5-b0b8-4d1a-8438-0241f63f9c00 · inbound
Design and Simulation of Vehicle Motion Tracking System using a Youla Controller Output Observation System cites this paper.
Design and Simulation of Vehicle Motion Tracking System using a Youla Controller Output Observation System Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:18:43.765478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation debf22e8-2cf9-403a-9860-03df72f71b13 · inbound
A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles cites this paper.
A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T16:37:01.846968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.