Paper Citation Record · LEDGER

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2310.01412.

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

pith.paper-citation-record.v1
2310.01412 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:06.624659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:29:50.235711Z

Reference resolution

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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 0ef7ca29-508a-4a44-865d-191c65352b17 · 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 DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:22:35.398999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d90bf11a-efb1-42e6-aa6a-5a9701dfd911 · inbound

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning cites this paper.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.471142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5a319c93-86ad-49d1-9f0f-49bca82fcf1a · 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 DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:24:23.946126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71624014-88e5-4810-83d1-9a7163096c9f · 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 DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:06:27.259948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a34e107-c791-4bb0-ae12-af656d54f1b0 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 158

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:05.759511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d7b07ae-02ef-4fd8-83bc-93f8905a426c · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:06.624659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ef35f2a-677a-47a8-ae7b-469e6e68eb71 · 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 DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:58.419590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d156cd02-c784-4a2c-8ee3-7559aad218d8 · 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 DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:29.594508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31ab612-0ac2-414f-863b-65f6c9285606 · inbound

Leveraging LLMs for Mission Planning in Precision Agriculture cites this paper.

Leveraging LLMs for Mission Planning in Precision Agriculture DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:57.567663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2c014bc-75e6-4d92-bcfa-2fe4e613742f · inbound

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture cites this paper.

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:04.029504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7d6929-2c51-43e3-a0f6-2539c61e6cea · inbound

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior cites this paper.

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:55.933304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b37e2534-9a3c-4119-a971-7c5fd99e9bab · inbound

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model cites this paper.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.666881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5178522-a2b1-452c-8c3f-0bf198b4e269 · inbound

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning cites this paper.

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:50:57.198117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c5dfe51-c632-4176-8901-d662dba6fbef · inbound

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning cites this paper.

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:50:36.591277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dbe10d0-155c-4771-b016-f771f4bc5388 · inbound

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving cites this paper.

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:31:01.380355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c94aace-8a88-4d95-ab6a-c0556dd28147 · inbound

Learning Vision-Language-Action World Models for Autonomous Driving cites this paper.

Learning Vision-Language-Action World Models for Autonomous Driving DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:31:00.801368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5036237-7e09-49f3-873a-f82cf3e2dbfa · inbound

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving cites this paper.

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:47.209929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eeae90d2-3500-481a-94f6-034dffe1f518 · inbound

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation cites this paper.

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:31:26.275988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b53eae3b-8f96-46be-9d89-140bea9bd51c · inbound

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving cites this paper.

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.776837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7920a527-7e56-49e1-9fe6-98e728d969d9 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.237286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8928eb52-314e-4336-8d0a-b87c89372be5 · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 137

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.