Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.03065.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:06:55.855521Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:00:48.157399Z
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 95d1ceb1-6a04-42bf-a6a6-e7aa466c587d · inbound
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
Reference 292
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:06:55.855521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5dc7e50-4499-4003-b539-eaa516ab875f · inbound
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
Reference 117
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:00:48.159677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0927ea6b-f859-47a7-8dde-aa86d37c7081 · 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 SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:21:06.819467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.