Paper Citation Record · LEDGER

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.18341.

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

pith.paper-citation-record.v1
2505.18341 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:24:15.815074Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:16:29.458340Z

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 b80f04d3-d3dd-4ec2-a99a-17ce10e32ccb · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-05T15:24:15.815074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d27a30c-adb4-4aa4-a2c8-23456abb23e2 · inbound

AITP: Traffic Accident Responsibility Allocation via Multimodal Large Language Models cites this paper.

AITP: Traffic Accident Responsibility Allocation via Multimodal Large Language Models CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:00.245846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 136ffb96-cdb1-4951-9285-1a8b9a9785ea · inbound

Learning physically grounded traffic accident reconstruction from public accident reports cites this paper.

Learning physically grounded traffic accident reconstruction from public accident reports CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:10.127480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b289a73c-20bf-401d-ad4f-5ec7568a8fef · inbound

Agent-driven Long-tail Simulation for Autonomous Driving cites this paper.

Agent-driven Long-tail Simulation for Autonomous Driving CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T20:01:39.628512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4f26b5-eaef-4f1b-b2c8-d544fbadf747 · inbound

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving cites this paper.

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving CrashAgent: Crash Scenario Generation via Multi-modal Reasoning

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-09T20:16:29.459537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.