Paper Citation Record · LEDGER

Language Prompt for Autonomous Driving

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2309.04379.

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

pith.paper-citation-record.v1
2309.04379 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:34:34.987372Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.958297Z

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 2c39efe1-46df-4979-81d8-6757753614b7 · inbound

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models Language Prompt for Autonomous Driving

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:22:35.471894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca0be5a7-9dca-4ba0-aac2-0fbdfdd13473 · inbound

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving cites this paper.

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving Language Prompt for Autonomous Driving

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:24:23.876101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8717bb0d-5594-48d8-9073-c825f07f7dad · inbound

A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions cites this paper.

A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions Language Prompt for Autonomous Driving

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:34:34.987372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e151d7b2-c9b0-45ee-ac20-d3393007555c · inbound

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs cites this paper.

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs Language Prompt for Autonomous Driving

Reference 172

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:37.406600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a424d641-49d7-4ab6-9f7d-d170d9db2a9d · inbound

SAFLITE: Fuzzing Autonomous Systems via Large Language Models cites this paper.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Language Prompt for Autonomous Driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:47.694127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e7f17e-a093-46f0-a16c-5ccda4396922 · inbound

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

Visual Large Language Models for Generalized and Specialized Applications Language Prompt for Autonomous Driving

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:09.564196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f539985f-6cab-430e-8414-a54142d9c726 · inbound

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

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

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:55.978829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac97deee-3b08-47a9-b67b-f53665dc10bd · inbound

Embodied Scene Understanding for Vision Language Models via MetaVQA cites this paper.

Embodied Scene Understanding for Vision Language Models via MetaVQA Language Prompt for Autonomous Driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:04.619541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b5c9a9-2f84-4eb9-af89-507e08583603 · inbound

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios cites this paper.

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios Language Prompt for Autonomous Driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T13:12:23.826515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c784d96-ce9a-45ab-8c15-a341b06f41dc · inbound

TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes cites this paper.

TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes Language Prompt for Autonomous Driving

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T12:11:50.531712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbb17c07-8376-444f-80ba-36c06b1ebc27 · inbound

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

Vision-Language Models for Edge Networks: A Comprehensive Survey Language Prompt for Autonomous Driving

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-08T12:20:08.714742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600bb737-0917-41ea-a07a-97ac84f72fd9 · inbound

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning cites this paper.

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning Language Prompt for Autonomous Driving

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:06:27.255485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b766470-5748-44f5-891c-013d71e87bed · inbound

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks cites this paper.

Temporal Object Captioning for Street Scene Videos from LiDAR Tracks Language Prompt for Autonomous Driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:29.686171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d4728f-31d8-4f3d-9841-ad1047878d71 · 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 Language Prompt for Autonomous Driving

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:57.928597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3549af17-0165-413f-b7a4-95ff914d4f39 · 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 Language Prompt for Autonomous Driving

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:20:50.430968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3226104-a5dd-4a92-9eed-c93be7642c20 · 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 Language Prompt for Autonomous Driving

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:29.281536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e19500-827b-4e73-9199-aba13927bfa1 · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Language Prompt for Autonomous Driving

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.935007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 314d67fa-8802-4423-b862-4b8c77cefaf3 · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test Language Prompt for Autonomous Driving

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T13:58:11.492169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cef3d21-99ec-4964-a96c-1ca24544e3da · inbound

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance cites this paper.

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance Language Prompt for Autonomous Driving

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T20:33:35.435043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ea0f46-09d1-46bf-8910-c64c26598dd3 · inbound

SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining cites this paper.

SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining Language Prompt for Autonomous Driving

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:41.961727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.