Paper Citation Record · LEDGER

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.15349.

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

pith.paper-citation-record.v1
2406.15349 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:39.930470Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T07:38:51.909568Z

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 1e124d26-7325-4e9c-b585-d42f941dc6b1 · inbound

Enhancing End-to-End Autonomous Driving with Latent World Model cites this paper.

Enhancing End-to-End Autonomous Driving with Latent World Model NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:38:51.912715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bec3bbb-7834-4574-806b-1406ce14fd3a · inbound

iPad: Iterative Proposal-centric End-to-End Autonomous Driving cites this paper.

iPad: Iterative Proposal-centric End-to-End Autonomous Driving NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:27:39.930470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e08fb4c-782f-4ab8-ac60-e91f74228226 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 260

Resolution: unresolved; no resolver link, observed 2026-08-07T15:24:07.362818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d97e0b3-4d37-454a-98b6-7ce653534f9b · inbound

Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset cites this paper.

Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:19.161642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcd41b05-1cd8-4c5d-a182-1e32e33d1bca · inbound

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model cites this paper.

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:29.501478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fa04762-22b3-4cdb-92cb-92d16ebcd535 · inbound

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving cites this paper.

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:48:01.018607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35cfb142-b0c8-4437-8255-91641c9c356f · inbound

DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.

DriveFuture: Future-Aware Latent World Models for Autonomous Driving NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:17.998819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7c32a07-87ab-4ce4-a3e2-2278d4a76736 · inbound

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving cites this paper.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:46.880137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.