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Paper Citation Record · LEDGER

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2406.03877.

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

pith.paper-citation-record.v1
2406.03877 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:15:45.472077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.031336Z

Reference resolution

0 of 0 outbound references displayed

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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 59aa0c52-098d-421e-965b-951541855884 · inbound

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors cites this paper.

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 17

Resolution
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no resolver link, observed 2026-08-11T15:46:23.285457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:46:23.285457Z digest=sha256:3c3818b3a8277c26d9d28e9a878ab61825cb365a3401cf6c4958bb3474266616

Observation 8c63ad2b-7024-41aa-8670-33de6c866d6f · inbound

How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 31

Resolution
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no resolver link, observed 2026-08-11T12:05:48.466305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:05:48.466305Z digest=sha256:af7c2761288bd3c87a8972496296a2e0170d5950560bf729054779c7f7d1a0a5

Observation b028e7e2-7733-4b68-88ba-7295207d4bc6 · inbound

AdaWM: Adaptive World Model based Planning for Autonomous Driving cites this paper.

AdaWM: Adaptive World Model based Planning for Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 10

Resolution
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no resolver link, observed 2026-08-10T16:35:14.925995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:35:14.925995Z digest=sha256:3c961d4656b64e88597d0ba20194342dd52297e56f093dc557ab55ad90b28149

Observation bf95933a-46ae-4921-ba74-388fad841f87 · inbound

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement cites this paper.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 6

Resolution
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no resolver link, observed 2026-08-07T22:25:46.086133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.086133Z digest=sha256:9f476789d06ee6f477b7aabeed89e154a216982b45511559c133e025565aba75

Observation f89aff9a-eba9-4323-8233-284056338ab4 · inbound

X-Driver: Explainable Autonomous Driving with Vision-Language Models cites this paper.

X-Driver: Explainable Autonomous Driving with Vision-Language Models Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T23:15:45.472077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:15:45.472077Z digest=sha256:32d12f5315668922521291b62fc9e728195d2c36464e500740a7aa66876222f9

Observation 70abcdc1-47e2-4c67-abe6-96cf538f2000 · inbound

iPad: Iterative Proposal-centric End-to-End Autonomous Driving cites this paper.

iPad: Iterative Proposal-centric End-to-End Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:27:41.024812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:41.024812Z digest=sha256:37187abb847311521ab1c6c8704ec707a8f4d206ebd7d962e0405619315f5c8a

Observation 9ca1c660-2af4-4e82-8366-1dd191838227 · inbound

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving cites this paper.

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 22

Resolution
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no resolver link, observed 2026-08-07T13:47:12.250770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:47:12.250770Z digest=sha256:6a5061efeeecdcad584657c7571f6818bce1d6cfc554946f526079178f846eb5

Observation 8a42f197-4e08-4a22-855d-9cd1955c7a84 · inbound

From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving cites this paper.

From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 18

Resolution
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no resolver link, observed 2026-08-07T13:20:25.785167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:25.785167Z digest=sha256:79f29d23ec7995364e02b86a90a379d0c2d15a36428d83597f69682eb96ba128

Observation 6b2882a8-35d7-433d-9b7b-e2f18872a0c0 · 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 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 27

Resolution
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no resolver link, observed 2026-08-07T12:43:55.071281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:55.071281Z digest=sha256:a497b60ba1bc0250cfac5039edae93f578a5d9be51a10033c7e1ccf3d313a1b1

Observation 44b7092c-e9e1-4e99-be41-41da7ee047a9 · inbound

FocalAD: Local Motion Planning for End-to-End Autonomous Driving cites this paper.

FocalAD: Local Motion Planning for End-to-End Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:17:15.723808Z

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.

source=pdf_text observed=2026-05-19T10:15:53.988156Z digest=sha256:19366b45c1aac75b7e0026ef4defac0b0af89095596927eff81a366fd9aea6eb

Observation 905903cc-a603-45be-9d71-beb94e3b0c6a · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:46:44.247411Z

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.

source=pdf_text observed=2026-05-14T21:46:43.955825Z digest=sha256:345600146ac032fe6b2dcae8800d6c8493e464d1377d48583d20b4e2ea4bcdd4

Observation e91a963f-3929-45c2-a957-940730f58f67 · inbound

A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving cites this paper.

A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 68

Resolution
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no resolver link, observed 2026-08-15T19:28:59.867083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:28:59.867083Z digest=sha256:7eb982ec5cfb4ef386a7e2a09c3e67de089038ad07046f7be1e4ba89edb69561

Observation 38578a71-14e3-43f1-aca0-8dd29613d89c · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 55

Resolution
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no resolver link, observed 2026-08-06T21:31:04.509692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.509692Z digest=sha256:6c0ee8797351fcc4168ec0f1ba5d7a09f62407605c9f4a90416b220408c4c6f7

Observation c06cede8-9cca-422b-bf58-87b12ad64f39 · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:07:07.256560Z

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.

source=pdf_text observed=2026-05-19T06:06:07.648947Z digest=sha256:a795b1244aeac1262f46650d66a2c42443156d09ac402f481be90393b838b1c5

Observation ef43241d-9b59-4c5b-a7b4-6fc14a98d4a5 · inbound

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving cites this paper.

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:04:48.403151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:48.403151Z digest=sha256:81f5060de5e40656567a49a46545793545abb60f647c7e9d8a7559fa202ce485

Observation 76dd3c4a-6658-4a4d-b89b-e610bf6a3422 · inbound

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving cites this paper.

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 31

Resolution
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no resolver link, observed 2026-08-06T15:59:54.578087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:54.578087Z digest=sha256:6e2d7154e0ed03144343f9d38c8a252a33ea44052ad7be07da13e320400b3d72

Observation 5f6f3fb6-c938-4dcf-afd3-63efdd5869d9 · inbound

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case cites this paper.

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 42

Resolution
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no resolver link, observed 2026-08-05T23:53:48.972778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:53:48.972778Z digest=sha256:c5e86338c5da3b4541c4af4ae4a076cf1d37be81d55d0c9c20d5557d2b14e837

Observation 8251ec4b-824b-451e-822e-c652b5cba667 · inbound

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving cites this paper.

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:11:50.868083Z

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.

source=arxiv_source observed=2026-05-18T20:10:43.416488Z digest=sha256:638581a0c4c5ec32337826c13b0eae4d4d21578970cebb7c92aff0f0fc79062c

Observation 9083110d-fff3-4749-be24-c6e6aa644eb3 · inbound

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model cites this paper.

SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:10.713483Z

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.

source=pdf_text observed=2026-05-10T02:34:29.624029Z digest=sha256:30f0e025988ba7b8b97e9766b9a4f00accbf36a85698ef68efb635ae13bf0241

Observation f888977f-9ec6-466e-9ede-5480143658c9 · inbound

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies cites this paper.

CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 44

Resolution
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arxiv_id, observed 2026-05-11T17:41:06.680073Z

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.

source=pdf_text observed=2026-05-08T17:20:55.364175Z digest=sha256:b1f955cf84ae861992a018d1631f980761b04d01ad56b6a290fe885d434b37e9

Observation 739c529f-7732-4711-a454-136b57a3f4f7 · 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 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:15:22.981862Z

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.

source=pdf_text observed=2026-05-25T05:10:32.522453Z digest=sha256:34828748eacce93ec4e340bfd4ee01f9f92947b75e3fd408975de6d5353a53fa

Observation caf445aa-9f86-451c-8aaa-8f277b2bfc7c · 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 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.032836Z

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.

source=pdf_text observed=2026-06-30T16:40:22.441025Z digest=sha256:c457ae9920d6821e29910e3e0e736e7acfeb0e6c3cc99524ab2da8ee79af96e0