Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:14:08.532966Z

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 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=sha256:21c61f6ea8d66ab9ec729efe21f5a207b21dc796c4461378400726d40b4f0937

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T12:57:41.720036Z digest=sha256:8f6139923dee1e37d6d988673ff0544b1158b1b66dd6b711ee8ec06ba3ca7528