Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.12296.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-20T13:37:33.910175Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T13:38:19.098731Z
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 50c62779-7b15-42d4-afaa-5f8f1bccca1c · inbound
CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography cites this paper.
CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T06:40:42.691333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5beeb5f0-c03b-4b47-91d9-9d225b952f50 · inbound
Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions cites this paper.
Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:38:19.100681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.