Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.18286.
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 2026-08-12T19:18:01.401098Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:57:16.550126Z
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 c9240e58-63fb-43ad-9ae2-9106619fecff · inbound
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm cites this paper.
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:18:01.401098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e809b17f-3de1-4ef0-9dcd-6bdf7a7b40b8 · inbound
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity cites this paper.
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:57:16.556292Z
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.