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Paper Citation Record · LEDGER

Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving

As of 20 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.

pith.paper-citation-record.v1
2403.11057 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:42:44.154073Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-11T00:42:44.154073Z digest=sha256:513de79cb8752948f45f8cbef4ff259c407539b45ead529002044e0594f76dd7

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.

source=pdf_text observed=2026-08-09T11:14:08.532966Z digest=sha256:d82762f28d823c01e1c0c22381fbb8de6e8fac1106b72f0d2624451e719bc6e0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T12:57:41.720036Z digest=sha256:4b2da98f30a52d146967844248a293f8c99a7d0295699126531adcf93920a219