Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.11057.
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 2026-08-11T00:42:44.154073Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T12:58:17.607309Z
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 8f18536d-d3bf-49be-b7fa-2f57fbce27ea · inbound
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios cites this paper.
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:42:44.154073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddf0976d-aa92-49b7-ac46-f3320fa12289 · inbound
SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs cites this paper.
SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:14:08.532966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b89a7cd-55e1-4ed9-a131-96f74072eaac · inbound
KG-ASG: Collision-Knowledge-Guided Closed-Loop Adversarial Scenario Generation With Primary-Support Attribution cites this paper.
KG-ASG: Collision-Knowledge-Guided Closed-Loop Adversarial Scenario Generation With Primary-Support Attribution Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:58:17.609022Z
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.