Paper Citation Record · LEDGER

Vision Language Models in Autonomous Driving: A Survey and Outlook

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.14414.

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

pith.paper-citation-record.v1
2310.14414 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:58:00.150325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.040430Z

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 a012fabc-b1fe-4b7f-9c27-b2d176087600 · inbound

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm cites this paper.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T19:18:01.615147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcce506a-90db-4336-9f74-acb8f5ea5cd4 · inbound

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects cites this paper.

Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D Objects Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T23:10:02.473382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb5b4ed-0690-4b99-9182-029ef12a5fb7 · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:08.972024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdaf9182-61ca-445a-a1af-01226065f034 · inbound

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving cites this paper.

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:11.649617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b749e93-04da-4f2a-8a0b-a1b427f04958 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:04.176342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3495bf-6b89-495e-b3ac-23950d1932f5 · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-08T12:20:08.709521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3d9577-ac9e-4da2-98fb-1adbcf6c0039 · inbound

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.679014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8fbedf55-14bf-4a6c-8a8c-e0d435a901e8 · inbound

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth cites this paper.

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T13:15:56.467536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a274b08b-b699-44ae-ab46-1fba5294f634 · 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 Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:20:50.528950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9024ef81-34ab-4c93-9f2a-dd7f993dcae3 · inbound

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems cites this paper.

Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:58:00.150325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc78453-d434-4a79-9b95-1fc9f3fee28c · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:22.263759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bf84b0-749d-4add-a57e-bd6d3bbe35c6 · inbound

Sparse Neuron Ablation Triggers Catastrophic Collapse of the Language Core in Large Vision-Language Models cites this paper.

Sparse Neuron Ablation Triggers Catastrophic Collapse of the Language Core in Large Vision-Language Models Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:51.782228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8cd46e-cd45-4638-8ee7-e3778e13f71c · 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 Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:15:22.938788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf73d056-a96a-4243-9e60-ef44bd737356 · 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 Vision Language Models in Autonomous Driving: A Survey and Outlook

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.042065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.