Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2509.02659.

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

pith.paper-citation-record.v1
2509.02659 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:32:33.879692Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy2
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a9f5354-ac8e-4e6d-8ef6-0d7ebe59e43a · outbound

This paper cites an unresolved cited work.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T11:32:34.471632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02388aba-8ea0-45d3-b5fa-5791db777058 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:31.628690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c316b4-fe87-4df9-8bc9-63ab4c6561bc · outbound

This paper cites InternLM2 Technical Report.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model InternLM2 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:31.709766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 477b43a1-033b-4aa7-81e0-1f3261d74f2a · outbound

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

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:31.784450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5133449-9421-44f0-897a-2d55ab222cd7 · outbound

This paper cites Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:31.855904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d42378f-e409-4dac-87f8-d0cfbd615ab6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:31.953341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ab3517-4173-48b2-b5be-f9290b318fe4 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.036400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1101ea54-1eb7-4f1d-81bf-39fc1ceaec5a · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model GAIA-1: A Generative World Model for Autonomous Driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.129986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41b8a38-698d-4cba-9848-336cf8ad9707 · outbound

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

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Lora: Low-rank adaptation of large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.184781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb01318a-20cd-47b2-afde-0cbba74be661 · outbound

This paper cites St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:32:34.447567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55565ac0-998b-4514-9659-3c7a82ad8bb9 · outbound

This paper cites Planning-oriented autonomous driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Planning-oriented autonomous driving

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:32:34.432515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff799187-915a-4601-bfb4-1f3da55b9c8a · outbound

This paper cites DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.477461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbbd1cc0-788a-47f1-b997-b00c4160468e · outbound

This paper cites WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.658188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6e33bd-1fe5-4d78-b65a-c65dd6c276dc · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model GPT-Driver: Learning to Drive with GPT

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.772087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d0feb9-2402-4a2e-8873-ef91e037f8c5 · outbound

This paper cites A Language Agent for Autonomous Driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model A Language Agent for Autonomous Driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:32.889451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8d7078-2c7b-4cad-a178-ced6218b842c · outbound

This paper cites LMDrive: Closed-Loop End-to-End Driving with Large Language Models.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.037882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ae9594-cad5-49bd-9a16-a76fed16ae4f · outbound

This paper cites DriveLM: Driving with Graph Visual Question Answering.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model DriveLM: Driving with Graph Visual Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.177237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2179ba5a-0dac-4d84-bbfa-adf14a5408c1 · outbound

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

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.325982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae66473-ab6e-4ae1-9747-d44bb5680f2f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model LLaMA: Open and Efficient Foundation Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.394298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea714b6e-32d4-4fbe-ba32-9d22e10bc6f7 · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.451445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9662b523-70cd-4b18-b8de-b4088bb281fd · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.511426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6479f533-0276-4b16-ae5e-c90d51c72f15 · outbound

This paper cites Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.582916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

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 941b6ca7-1a71-4991-8db2-71c21777da0d · outbound

This paper cites GenAD: Generalized Predictive Model for Autonomous Driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model GenAD: Generalized Predictive Model for Autonomous Driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.747271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824d40cc-f742-4dd8-b044-8fde1d28e71a · outbound

This paper cites GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.826657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eadc52c-e9ad-4945-9c71-f6e2e3c7f6fd · outbound

This paper cites DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:33.879692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.