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Paper Citation Record · LEDGER

Empowering Autonomous Driving with Large Language Models: A Safety Perspective

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.00812.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.00812 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:47:40.001284Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T14:31:06.319972Z

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 879a6758-224e-45df-81ad-c0cfe1665a6b · inbound

STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models cites this paper.

STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models Empowering Autonomous Driving with Large Language Models: A Safety Perspective

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T09:47:40.001284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:47:40.001284Z digest=sha256:11a592f94f2fe8d4fb165f1a313d2bfeebd048056cfd61fa0b375b3c2a24d609

Observation c5f46136-5ae8-4c62-a67c-1a79d0bb8f67 · inbound

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction cites this paper.

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction Empowering Autonomous Driving with Large Language Models: A Safety Perspective

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:31:06.323296Z

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.

source=pdf_text observed=2026-05-09T21:42:10.217380Z digest=sha256:b31637d7f888467f389ca0885e20558517f1a1adad258dbf3da61b68f7e7dc84