Paper Citation Record · LEDGER

NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2504.03164.

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

pith.paper-citation-record.v1
2504.03164 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:56:10.918290Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:20.242744Z

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 93f5f79b-3459-47a0-bf28-ff0aca00eeb0 · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:46:44.013090Z

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 e5ae5bd8-828b-4180-956f-b91730f0c582 · inbound

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models cites this paper.

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.278451Z

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 9070cceb-3789-40a8-a321-3d5a5097dc80 · inbound

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks cites this paper.

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T11:56:10.918290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd4cf48-51b0-47fe-84ff-bf190e261f57 · inbound

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail cites this paper.

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:35:13.238965Z

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 0ed634ff-f6e0-4037-8e01-a0acee736260 · inbound

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images cites this paper.

MonoSR: Open-Vocabulary Spatial Reasoning from Monocular Images NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T20:38:56.380114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5681dd-7960-4f7b-a14f-8116b119234d · inbound

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation cites this paper.

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:40:33.132144Z

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 e18fb11f-4297-422f-b6d0-1665bf7e9b92 · inbound

More than the Sum: Panorama-Language Models for Adverse Omni-Scenes cites this paper.

More than the Sum: Panorama-Language Models for Adverse Omni-Scenes NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:02.914572Z

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 b9f5bd5d-150b-4d3f-8a96-5b4a1227da10 · inbound

Probing Visual Planning in Image Editing Models cites this paper.

Probing Visual Planning in Image Editing Models NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:31:06.715261Z

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 98677b79-a496-4850-a7e3-4a92897c09d0 · inbound

Lateral String Stability for Vehicle Platoons: Formulation, Definition, and Analysis cites this paper.

Lateral String Stability for Vehicle Platoons: Formulation, Definition, and Analysis NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:01:00.987754Z

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 210f0e99-0606-4a46-b340-3e8afc6b6d0b · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:26.534656Z

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 30ff18dc-de0d-4e68-9cc5-7f8af7d97d35 · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:15:22.970050Z

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 656104bb-f775-47b5-86da-31557de501c6 · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.038675Z

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 e9d7fd76-9f6d-4eb6-b8df-bfdc99b7ddf9 · inbound

Do VLMs See What Sensors Feel? A Scalable Expert-Guided Design for Wheelchair Accessibility Assessment from Street View cites this paper.

Do VLMs See What Sensors Feel? A Scalable Expert-Guided Design for Wheelchair Accessibility Assessment from Street View NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:06:20.244880Z

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.