Paper Citation Record · LEDGER

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2501.04003.

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

pith.paper-citation-record.v1
2501.04003 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:00.946533Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 556d24ba-a350-495d-ac42-ddbf5074ee56 · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.946533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39bd3ae6-0ea5-48c6-a8d7-f6e4be4c5309 · inbound

PixelThink: Towards Efficient Chain-of-Pixel Reasoning cites this paper.

PixelThink: Towards Efficient Chain-of-Pixel Reasoning Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:41.564697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059b7124-7226-493f-a978-a95d81149207 · inbound

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:58.249021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cff78ce-2c1c-4f43-b8cd-cfcb91d8583e · inbound

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving cites this paper.

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:20:50.406050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4d6aed3-8deb-41f1-8318-014e26189f73 · inbound

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving cites this paper.

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T06:02:13.143198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa4a20c-f417-49e3-8063-05e0c7f4dffa · inbound

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions cites this paper.

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:29.348779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0117b600-5726-4636-8dc4-d4769a5f9dc3 · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:04.802163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911cd285-ed93-46dd-a23a-b8496d411293 · inbound

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations cites this paper.

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:35.442839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d08c49b-b6a6-4b7a-b594-9b0289d2b4c6 · inbound

Monocular Semantic Scene Completion via Masked Recurrent Networks cites this paper.

Monocular Semantic Scene Completion via Masked Recurrent Networks Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:19.348528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c26dbc-715f-4eae-9615-7e15fb0d062b · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T13:58:11.634775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 642a2e69-dd69-4a69-b7aa-812789801d64 · 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 Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:35:13.296616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90211ad9-1368-4134-9d9b-0d41c0a9faf2 · inbound

Descriptor: Distance-Annotated Traffic Perception Question Answering (DTPQA) cites this paper.

Descriptor: Distance-Annotated Traffic Perception Question Answering (DTPQA) Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:45:17.947913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d724f94-ef08-4c92-a021-4f8311afebed · inbound

RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios cites this paper.

RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T20:52:04.413608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24576f47-ccf1-47d2-9b51-37242486d3ec · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:16:34.533036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation add1c3a3-3b95-4e73-84ae-fae51fca165b · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:31:25.210000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1cad9375-d121-48b9-8ed3-a5f7ef3dd87d · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-02T22:00:11.292826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d456c0-6e86-4d93-9b3b-5e9da9396a31 · inbound

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models cites this paper.

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:50.159939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 551b4c2e-6412-4a8e-ad7a-845e30c47251 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 102

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T11:41:02.599005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 854593ca-21fc-4297-a1f6-d4d81528ae87 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:10.333418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 384f5715-3c9c-48e1-bd5a-03e24215ce75 · inbound

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation cites this paper.

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-09T20:17:04.502659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28ac769d-8bc6-4dff-b4c4-b4d879a81dd3 · inbound

From Accuracy to Visual Dependence: Auditing and Filtering Modality Collapse in Traffic VideoQA cites this paper.

From Accuracy to Visual Dependence: Auditing and Filtering Modality Collapse in Traffic VideoQA Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:14:18.584457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27726ca1-8c25-41f8-8d9b-faabb255d8e4 · inbound

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective cites this paper.

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Reference 104

Resolution: verified exact; local_arxiv, observed 2026-07-09T00:25:48.544589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.