Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tracking Meets Large Multimodal Models for Driving Scenario Understanding
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.14498.
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 2026-08-03T12:06:26.779823Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T19:19:42.890821Z
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 1b13de8c-d947-4756-a9b6-c1de351f36c7 · inbound
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Tracking Meets Large Multimodal Models for Driving Scenario Understanding
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:19:42.894643Z
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 82ac726a-31bb-4352-b95b-0fefef7f90f0 · inbound
UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving cites this paper.
UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving Tracking Meets Large Multimodal Models for Driving Scenario Understanding
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:06:26.779823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f722ec7c-de23-454f-910a-45e03b88522d · inbound
NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving cites this paper.
NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Tracking Meets Large Multimodal Models for Driving Scenario Understanding
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T13:56:18.138249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.