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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:25:46.086133Z

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

  • 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 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
unresolved
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=sha256:58dae3d50d10a1abc891227fb1860b825fa23feda7cf48a8d8ad34bf7a48e7e0

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=sha256:96157ce1d0d65a377a62dee4a40e766d546ea0f75d64b605fcda93f4bc47020d

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
unresolved
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:dc1ebae3b86240747b8ac21c46c3e7eac53c44887dda6c5b120f030c1ecef211

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
unresolved
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=sha256:26e3c135847cf22ac3578dd68c2b62784f1a2ebe8782e4962fadec4e15e60f8e

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
unresolved
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=sha256:21ff2cb4585f2c0b5cebdba82319fef35b06b1493560d0b19c7a8d8b6c4b651d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T10:15:53.988156Z digest=sha256:888663ba370f16e011022556527a1e6be0742044448a2619a2734e250c9a0935

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:46:43.955825Z digest=sha256:22664754a8b9b20aa872ce479abc2bfedda1d15ed3161b109b6ec51782c499d7

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
unresolved
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=sha256:2bdb5d29561ebef31485fea5f6f37cbcd9f4c453cb2deb543edc51520ba8bbf4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T06:06:07.648947Z digest=sha256:cb7515ea9b36dcaf43919f418360e60b2b11364a4aa9602ed3859634c16c90ee

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=sha256:17354687a62d0edd41439e5f6e21df52293483c3d63b11299aba9130ba79ae67

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
unresolved
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=sha256:872d8f9a607f26487ffa2bf3194503d9b860bc21498a22cd30a10adce85eebc2

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
unresolved
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:c5ef432d28e046091e3e0e5204f166c9b7b8bf05fe316e30038e938229fbb3d9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T20:10:43.416488Z digest=sha256:87c0598261eef60c17b880baad2eec685c60966b37a3ce0553410129583878a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:34:29.624029Z digest=sha256:ea9977fc45ceb7c58b3d98b0bfcfc539660be7ee0ce4d62a701001bf7a0076f4

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
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:20:55.364175Z digest=sha256:3bd5ba93cb96e97f9cc8ed9520d4d1a7c5928e730a44e02f483da1f9a1baa537

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:10:32.522453Z digest=sha256:c224ade536e4ff1933b0f06c5c6dbb5714873b22b38da31676cba7773f2fe670

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T16:40:22.441025Z digest=sha256:afa0f7730441dc62ce6c05183b2cf866c6b7cdb7655caabf4d96fc382d88799c