Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13894.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:14:00.954567Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T19:09:58.442426Z
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 9320cba5-7262-475d-82ca-1e2e3dcd9264 · inbound
The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges cites this paper.
The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:14:00.954567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4274d20-56a8-49e9-acd0-ba7162c3ffb2 · inbound
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems cites this paper.
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
Reference 118
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:58:00.678719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bcd528c-761e-4cfa-8be1-767be19ea01c · inbound
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving cites this paper.
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T19:09:58.445844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.