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Paper Citation Record · LEDGER

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2505.11535.

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

pith.paper-citation-record.v1
2505.11535 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:44:14.995445Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T12:44:24.574082Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:46:24.194827Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2f41e0f-1775-4642-b2d1-5d337abdfc36 · outbound

This paper cites OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles

Reference 1

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local_arxiv, observed 2026-08-15T21:44:15.191131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fe11942a-d6f0-41e9-9a36-05cd4fa3ad9d · outbound

This paper cites Effectiveness of advanced driver assistance systems in preventing system-relevant crashes,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Effectiveness of advanced driver assistance systems in preventing system-relevant crashes,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9ea5a614-4f11-47e2-b85d-1aaaa90b7340 · outbound

This paper cites Novice and young drivers and advanced driver assistant systems: A review,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Novice and young drivers and advanced driver assistant systems: A review,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:44:14.906433Z digest=sha256:fe28dcb230a7597c7cf1a6ba3c17ea0f65975c71f30eef7d2c704981a7603f0c

Observation 9164fa2d-fe71-42b1-bd35-807810899360 · outbound

This paper cites Exploratory analysis of injury severity under different levels of driving automation (sae levels 2 and 4) using multi-source data,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Exploratory analysis of injury severity under different levels of driving automation (sae levels 2 and 4) using multi-source data,

Reference 4

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raw_fallback, observed 2026-08-15T21:44:15.323498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:44:14.910459Z digest=sha256:e46a45d7538e96685d7b4efae084b9c81ae74fae5dc857d3a21a74ca78b11e42

Observation b37126b8-4ce2-488d-92fa-5ef577e72c5e · outbound

This paper cites On the road safety benefits of advanced driver assistance systems in different driving contexts,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems On the road safety benefits of advanced driver assistance systems in different driving contexts,

Reference 5

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raw_fallback, observed 2026-08-15T21:44:15.312474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 654e2352-6913-40a7-aad5-f94dec9c911e · outbound

This paper cites Regiongpt: Towards region understanding vision language model,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Regiongpt: Towards region understanding vision language model,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:44:14.918452Z digest=sha256:30a7c82af4f00ee3cf6ddc70beac939e882e7f625b5182cfb1ee7dcb2a45d9dc

Observation e5999d6d-f1aa-41b3-a9bf-6d8a7b1ee527 · outbound

This paper cites MiniVLM: A Smaller and Faster Vision-Language Model.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems MiniVLM: A Smaller and Faster Vision-Language Model

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 763f9d2e-87a6-4b72-bafe-e08c516a3177 · outbound

This paper cites Self-adapting large visual-language models to edge devices across visual modalities,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Self-adapting large visual-language models to edge devices across visual modalities,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fe3f9f9e-8c70-49f0-90e2-dd17237ffa0d · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Lora: Low-rank adaptation of large language models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c9b0264-4041-44ae-972c-fa81df2556d2 · outbound

This paper cites Low-rank few-shot adaptation of vision- language models,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Low-rank few-shot adaptation of vision- language models,

Reference 10

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Observation 1f797cca-a38a-4578-960f-0f78255b2271 · outbound

This paper cites LoRA+: Efficient Low Rank Adaptation of Large Models.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems LoRA+: Efficient Low Rank Adaptation of Large Models

Reference 11

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Unavailable: canonical work link unavailable.

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Observation d6cd0caa-c36b-4320-9ede-9acc60c40c1b · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:44:14.941951Z digest=sha256:af75e9aa7456c68e41d2978e3a619c481f85a7f2e600aac1d03670c3b3fd2893

Observation 74c3bd70-b8d2-4fc5-aa38-b9e3da682370 · outbound

This paper cites Drivellava: Human- level behavior decisions via vision language model,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Drivellava: Human- level behavior decisions via vision language model,

Reference 13

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raw_fallback, observed 2026-08-15T21:44:15.269511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:44:14.945760Z digest=sha256:f60889f7158fa77041f41014ea6785d13f6961218da70342e5d6583442d9bbdd

Observation 8cc8a2fd-df71-44a3-915d-5c743cdca4b6 · outbound

This paper cites CarLLaVA: Vision language models for camera-only closed-loop driving.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems CarLLaVA: Vision language models for camera-only closed-loop driving

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:44:14.949570Z digest=sha256:9db808a1b1cbc4e9d8b910daf56b4f2379a85f91862b0b72ee9b9b7238cd1d81

Observation 89052d8b-826c-4e08-891c-4336354a797e · outbound

This paper cites Vision-language models for autonomous driving: Clip-based dynamic scene understanding,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Vision-language models for autonomous driving: Clip-based dynamic scene understanding,

Reference 15

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raw_fallback, observed 2026-08-15T21:44:15.258853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:44:14.953512Z digest=sha256:1e281d71917d3cfb5800a180371e2404b1cd9af98fd409e8c7393582d1a0ec0c

Observation 886b013c-2e3d-45c0-bed6-c1a380e869b4 · outbound

This paper cites Multimodal Instruction Tuning with Conditional Mixture of LoRA.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Multimodal Instruction Tuning with Conditional Mixture of LoRA

Reference 16

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Observation 0d7efdb7-5bed-48b1-b83f-df83694ee131 · outbound

This paper cites When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis

Reference 17

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Observation ba242dba-309d-48f4-bb90-6069cd718ea2 · outbound

This paper cites Driving with llms: Fusing object- level vector modality for explainable autonomous driving,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Driving with llms: Fusing object- level vector modality for explainable autonomous driving,

Reference 18

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Observation 658ca238-2562-42d1-9f27-6da5830959d4 · outbound

This paper cites Automated evaluation of large vision-language models on self-driving corner cases,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Automated evaluation of large vision-language models on self-driving corner cases,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9343cf9c-f37d-499b-9ad7-986acbed965c · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Vision language models in autonomous driving: A survey and outlook,

Reference 20

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source=pdf_text observed=2026-08-15T21:44:14.971572Z digest=sha256:539aa2ee6a560dea3223b6c0671ec36db5b42e854f0b99d5de22e9d4ce5d6e02

Observation c85a8751-0e97-4122-816e-da5392658f22 · outbound

This paper cites A survey on multimodal large language models for autonomous driving,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems A survey on multimodal large language models for autonomous driving,

Reference 21

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Observation b0845656-9875-4efc-9464-1902ddc0031b · outbound

This paper cites Vlp: Vision language planning for autonomous driving,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Vlp: Vision language planning for autonomous driving,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:44:14.978338Z digest=sha256:4fa834c81fea3bbfec079248079c7eeb88e7090d7b8c4c20e30fdd345d2c583d

Observation d0a79d28-768e-4390-a8be-ec25f2798de8 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 23

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source=pdf_text observed=2026-08-15T21:44:14.981804Z digest=sha256:ce5fb5eabf4108f8dcdf660f6aca12bc76dea4791e913d38fec4252f0ef08ad3

Observation 6b7cc675-3681-4269-9a6f-6087334914b8 · outbound

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

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 24

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Observation 46885e85-7f48-4891-ad42-32eda815cd91 · outbound

This paper cites Evaluation of safety cognition capability in vision-language models for autonomous driving,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Evaluation of safety cognition capability in vision-language models for autonomous driving,

Reference 25

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raw_fallback, observed 2026-08-15T21:44:15.095903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a8e73510-1b26-40df-8d4e-b4afe9ecf5ad · outbound

This paper cites Towards end-to-end lane detection: an instance segmen- tation approach,.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Towards end-to-end lane detection: an instance segmen- tation approach,

Reference 26

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Observation 6c14b753-8e7f-4576-ae07-c05727db3177 · outbound

This paper cites Qwen2.5-VL Technical Report.

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems Qwen2.5-VL Technical Report

Reference 27

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Pith citing papers

Observation 7f670db7-7e1b-4d3b-b9fd-d64449c74354 · inbound

NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving cites this paper.

NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems

Reference 17

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arxiv_id, observed 2026-05-18T12:46:24.197381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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