Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.17094.
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 2026-08-10T17:22:32.139713Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:22:32.195947Z
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 aca82045-2cc2-4fd6-9af3-8c779b980431 · inbound
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning cites this paper.
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:22:32.203947Z
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 74396052-086f-4dc2-904a-2fb75e52b558 · inbound
FogDrive: A Multi-Modal Synthetic Driving Dataset for Perception under Graded Fog cites this paper.
FogDrive: A Multi-Modal Synthetic Driving Dataset for Perception under Graded Fog SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:21:09.439590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.