Paper Citation Record · LEDGER

Hidden Biases of End-to-End Driving Datasets

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 13 inbound Pith citation observations for arXiv:2412.09602.

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

pith.paper-citation-record.v1
2412.09602 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:57:16.355071Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:09.805201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:08.139807Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy27
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac378926-0279-4f87-aeff-e671d5af6feb · outbound

This paper cites Pdm-lite: A rule-based planner for carla leaderboard 2.0.

Hidden Biases of End-to-End Driving Datasets Pdm-lite: A rule-based planner for carla leaderboard 2.0

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.720553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c62b74ca-5f45-44f4-b438-8a0ff7508e26 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom.

Hidden Biases of End-to-End Driving Datasets Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.700873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 681aa5bd-eb66-4afe-95de-b821ab481622 · outbound

This paper cites Wolff, Alex H.

Hidden Biases of End-to-End Driving Datasets Wolff, Alex H

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.691487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ea6edaf-422c-48a5-8f94-e35c9af34c52 · outbound

This paper cites Learning by cheating.

Hidden Biases of End-to-End Driving Datasets Learning by cheating

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.682857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b53d6b9b-2ae2-41b5-b9d0-5be83a660bab · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing.

Hidden Biases of End-to-End Driving Datasets Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.673802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d906334-126c-4074-a436-50fa876d3ffb · outbound

This paper cites Sledge: Synthesizing driving environments with generative models and rule-based traffic.

Hidden Biases of End-to-End Driving Datasets Sledge: Synthesizing driving environments with generative models and rule-based traffic

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.664970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2620808-dc0b-408d-ac9d-d7da9aea7868 · outbound

This paper cites Parting with misconceptions about learning- based vehicle motion planning.

Hidden Biases of End-to-End Driving Datasets Parting with misconceptions about learning- based vehicle motion planning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.655841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11d38607-4b23-4b60-8272-643d4d99b180 · outbound

This paper cites Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmark- ing.

Hidden Biases of End-to-End Driving Datasets Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmark- ing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.646609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 40818555-ce74-4734-95b3-8494a3e0d2d1 · outbound

This paper cites CARLA: An open urban driving simulator.

Hidden Biases of End-to-End Driving Datasets CARLA: An open urban driving simulator

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.637160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3281114-7260-4fa8-857b-102fe0aaaa27 · outbound

This paper cites Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

Hidden Biases of End-to-End Driving Datasets Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.269585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa70c205-3ad0-4fe1-b9ed-0586cf9dd6ed · outbound

This paper cites Co-Reyes, Rishabh Agarwal, Re- becca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp.

Hidden Biases of End-to-End Driving Datasets Co-Reyes, Rishabh Agarwal, Re- becca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.627293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cc4a066-526d-4488-9ff9-ead6196a1521 · outbound

This paper cites Planning-oriented autonomous driving.

Hidden Biases of End-to-End Driving Datasets Planning-oriented autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.617501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58c8938a-d0a2-4671-a850-e92fbad0462a · outbound

This paper cites LangProp: A code optimization framework using Large Language Models applied to driving.

Hidden Biases of End-to-End Driving Datasets LangProp: A code optimization framework using Large Language Models applied to driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.280111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2359404a-5a88-45ec-beed-18ad398f196d · outbound

This paper cites Expert drivers for autonomous driving.

Hidden Biases of End-to-End Driving Datasets Expert drivers for autonomous driving

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.607958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2617f112-f9a1-4ab0-a30c-c37d3680e9d0 · outbound

This paper cites Hid- den biases of end-to-end driving models.

Hidden Biases of End-to-End Driving Datasets Hid- den biases of end-to-end driving models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.597965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ef60526-00c3-4254-8da5-daff3575246e · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving.

Hidden Biases of End-to-End Driving Datasets Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.587316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd6a7fe9-7a86-479f-8573-ee80e2d2bae1 · outbound

This paper cites Think twice before driv- ing: Towards scalable decoders for end-to-end autonomous driving.

Hidden Biases of End-to-End Driving Datasets Think twice before driv- ing: Towards scalable decoders for end-to-end autonomous driving

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.576222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d066e523-2abd-4ab7-80ca-85e6e52a4c3f · outbound

This paper cites Bench2drive: Towards multi-ability benchmark- ing of closed-loop end-to-end autonomous driving.

Hidden Biases of End-to-End Driving Datasets Bench2drive: Towards multi-ability benchmark- ing of closed-loop end-to-end autonomous driving

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.566450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0797b85-fd65-49f2-9683-8b3806d3dfe6 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

Hidden Biases of End-to-End Driving Datasets Vad: Vectorized scene representation for efficient autonomous driving

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.557079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46dd6ca8-e064-4152-aea8-5d1b87f92f48 · outbound

This paper cites Towards learning- based planning: The nuPlan benchmark for real-world au- tonomous driving.

Hidden Biases of End-to-End Driving Datasets Towards learning- based planning: The nuPlan benchmark for real-world au- tonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.547204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2e4064e-f60e-478e-89c4-8daf342b0e6e · outbound

This paper cites Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2).

Hidden Biases of End-to-End Driving Datasets Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.306388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 310bbb94-d4fc-46e6-8014-3f5d0d545c64 · outbound

This paper cites Think2drive: Efficient reinforcement learning by thinking in latent world model for quasi-realistic autonomous driving (in carla-v2).

Hidden Biases of End-to-End Driving Datasets Think2drive: Efficient reinforcement learning by thinking in latent world model for quasi-realistic autonomous driving (in carla-v2)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.537642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c1f49a72-86bd-4b78-acd4-7c2c7c27a874 · outbound

This paper cites SGDR: Stochastic gradi- ent descent with warm restarts.

Hidden Biases of End-to-End Driving Datasets SGDR: Stochastic gradi- ent descent with warm restarts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.314331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e5a203-8afe-4a22-9630-038597b2c886 · outbound

This paper cites Multi- modal fusion transformer for end-to-end autonomous driv- ing.

Hidden Biases of End-to-End Driving Datasets Multi- modal fusion transformer for end-to-end autonomous driv- ing

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.521070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e0fc868-9110-48f3-a0ef-26629f5f3762 · outbound

This paper cites Designing Network Design Spaces.

Hidden Biases of End-to-End Driving Datasets Designing Network Design Spaces

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.320831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6a8886-a46d-4bd0-870e-93280271266c · outbound

This paper cites Plant: Explainable planning transformers via object-level representations.

Hidden Biases of End-to-End Driving Datasets Plant: Explainable planning transformers via object-level representations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.511058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b8bfcc0-d032-47a8-a508-91518c191d3f · outbound

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

Hidden Biases of End-to-End Driving Datasets CarLLaVA: Vision language models for camera-only closed-loop driving

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.327802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca580701-c1e0-412d-9e55-f6be143de49b · outbound

This paper cites Integrating modular pipelines with end-to-end learning: A hybrid approach for robust and reliable autonomous driving systems.

Hidden Biases of End-to-End Driving Datasets Integrating modular pipelines with end-to-end learning: A hybrid approach for robust and reliable autonomous driving systems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.500126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c6cd64e-3760-45ab-87c6-4bd5b831cf04 · outbound

This paper cites Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer.

Hidden Biases of End-to-End Driving Datasets Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.489065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e114fdc-2563-48d0-8759-b3861a794650 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

Hidden Biases of End-to-End Driving Datasets Drivelm: Driving with graph visual question answering

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.478942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2464e501-7697-4e8a-9035-b0316d95a5f8 · outbound

This paper cites Con- gested traffic states in empirical observations and micro- scopic simulations.

Hidden Biases of End-to-End Driving Datasets Con- gested traffic states in empirical observations and micro- scopic simulations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.468844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d8d685a5-0857-41a7-8b07-717334410c35 · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong base- line.

Hidden Biases of End-to-End Driving Datasets Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong base- line

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.458899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3edced4c-20bd-46e2-a567-68d4d5a5b6af · outbound

This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.

Hidden Biases of End-to-End Driving Datasets Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.348042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7aa210-1746-41fb-93c5-aeb5b43f64e5 · outbound

This paper cites Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge.

Hidden Biases of End-to-End Driving Datasets Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:16.351537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e940abf6-c8d9-482c-a7c9-9cfd9992be4a · outbound

This paper cites End-to-end urban driving by imitating a reinforcement learning coach.

Hidden Biases of End-to-End Driving Datasets End-to-end urban driving by imitating a reinforcement learning coach

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:57:16.448522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3b02afc-71ac-492b-8bed-12369b1d9639 · outbound

This paper cites an unresolved cited work.

Hidden Biases of End-to-End Driving Datasets Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:57:16.710840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 48b2d0b8-f7d5-492b-aba1-f7266440658d · inbound

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation cites this paper.

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation Hidden Biases of End-to-End Driving Datasets

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-17T08:10:39.349992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 618c39a2-c9a9-4ce4-a3f0-0f50ac593820 · inbound

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy cites this paper.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Hidden Biases of End-to-End Driving Datasets

Reference 61

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:18:09.805201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98773837-d420-47cf-a424-541aa517ff25 · inbound

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving cites this paper.

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:32.181220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27dd1914-33da-45be-b6b4-ea19a19c80b8 · inbound

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models cites this paper.

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models Hidden Biases of End-to-End Driving Datasets

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:32:32.753867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9686d840-5698-45b5-ba74-9b635dbfc5a0 · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:48.740822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0272bc18-aaf8-48b1-a562-4871e6a785af · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 84

Resolution: malformed identifier; arxiv_id, observed 2026-05-22T12:21:31.289881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df92c3c5-8e07-4d95-b312-b302d32a1fdf · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 84

Resolution: malformed identifier; no resolver link, observed 2026-08-03T17:07:45.193832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f91d230-9a88-4b61-963f-cd5af71e47ba · inbound

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving cites this paper.

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving Hidden Biases of End-to-End Driving Datasets

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:03:22.444809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67591583-77bb-4f73-b7fe-3a5ddd182bad · inbound

Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces cites this paper.

Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces Hidden Biases of End-to-End Driving Datasets

Reference 57

Resolution: malformed identifier; no resolver link, observed 2026-07-14T21:21:10.946939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306b9120-536a-495d-b7a6-9720ea965c85 · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling Hidden Biases of End-to-End Driving Datasets

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:27:35.424762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f54ad5a5-0ecb-4af5-95f9-c4baaad8f896 · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling Hidden Biases of End-to-End Driving Datasets

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:59:01.753262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 000411e1-6bb4-4d83-bd7a-5110d461431c · inbound

BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving cites this paper.

BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:26.646386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 853e2660-e849-4d3f-a0c5-2399f1e6d6fa · inbound

UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving cites this paper.

UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:08.141141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.