Paper Citation Record · LEDGER

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 4 inbound Pith citation observations for arXiv:2505.19516.

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

pith.paper-citation-record.v1
2505.19516 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:09.900947Z

measured 66 of 66 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:18.685055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.170228Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy14
unresolved47
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd6f2cf4-3554-46e0-b597-ec9869e3aea2 · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:03.116564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d0fefc-d7a7-4d21-a2b8-a1e55114d7e6 · outbound

This paper cites Learning from all vehicles.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Learning from all vehicles

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:13.033464Z

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 46dbe300-fd86-497f-aa37-ecfda224403e · outbound

This paper cites Learning by cheating.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Learning by cheating

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:12.921072Z

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 4b4b7ef8-4638-4a7c-bd2f-284ee1f207cb · outbound

This paper cites Learning to drive from a world on rails.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Learning to drive from a world on rails

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:12.773080Z

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 0ebc8c4f-3ba6-4e5f-9f85-82a86a2fa44c · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:03.638785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0420f948-c049-4de4-871e-228b085ccde4 · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:03.759944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5160dc3-5b89-4be3-bff4-77605227f55e · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Diffusion policy: Visuomotor policy learning via action diffusion

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:03.881179Z

Source-reported events for the cited work

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Observation c6126aea-6fc7-48d8-85e0-0835adb600c1 · outbound

This paper cites Neat: Neural attention fields for end- to-end autonomous driving.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Neat: Neural attention fields for end- to-end autonomous driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:03.960018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7f104f3-24a9-4bf1-bfd8-a7a3a37523bc · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):12878–12895, 2022.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):12878–12895, 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.041251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98f4029-5574-412f-8d28-a150fef2e9f0 · outbound

This paper cites Exploring the limitations of behavior cloning for autonomous driving.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Exploring the limitations of behavior cloning for autonomous driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:12.560001Z

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 a7941722-6c0f-4ebf-94af-79bd2705da19 · outbound

This paper cites Openscene: The largest up-to-date 3d occupancy prediction bench- mark in autonomous driving.https://github.com/OpenDriveLab/OpenScene, 2023.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Openscene: The largest up-to-date 3d occupancy prediction bench- mark in autonomous driving.https://github.com/OpenDriveLab/OpenScene, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.300055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f763c0-4372-4c05-bbe5-7caeb302816f · outbound

This paper cites Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmarking.Advances in Neural Information Processing Systems, 37:28706–28719, 2024.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmarking.Advances in Neural Information Processing Systems, 37:28706–28719, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.403708Z

Source-reported events for the cited work

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Observation b99b5fe2-05b3-41ef-a4c0-f9db2483ac8f · outbound

This paper cites Diffusion models beat gans on image synthesis.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Diffusion models beat gans on image synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.507651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b165776-8548-403a-b22e-002c13eb0f79 · outbound

This paper cites Carla: An open urban driving simulator.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Carla: An open urban driving simulator

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:12.343133Z

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 6846fa1f-2434-47da-b221-80987397d050 · outbound

This paper cites One Step Diffusion via Shortcut Models.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy One Step Diffusion via Shortcut Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.769058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b30a053-5522-4375-ad23-e5855740a0ee · outbound

This paper cites Deep residual learning for image recognition.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Deep residual learning for image recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.876073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebd06db-f4bb-4b28-9712-1daee226a844 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:04.984388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d47cfbd7-991a-4a40-9e42-17cc6373f374 · outbound

This paper cites Model-based imitation learning for urban driving.Advances in Neural Information Processing Systems, 35:20703–20716, 2022.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Model-based imitation learning for urban driving.Advances in Neural Information Processing Systems, 35:20703–20716, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:05.128441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da61671b-efa3-478e-b7a5-3a7c7716304a · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:05.243384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f27e05f6-afb7-4ca0-8b9f-8563a5635294 · outbound

This paper cites Planning-oriented autonomous driving.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Planning-oriented autonomous driving

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:05.324589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f55d5b-da1c-4567-8ded-0ea848c84357 · outbound

This paper cites Versatile behavior diffusion for generalized traffic agent simulation.arXiv preprint arXiv:2404.02524, 2024.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Versatile behavior diffusion for generalized traffic agent simulation.arXiv preprint arXiv:2404.02524, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:05.437102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06bf13b6-7217-4bf2-bb36-59c4fd7bfb1f · outbound

This paper cites Hidden biases of end-to-end driving models.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Hidden biases of end-to-end driving models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:12.116931Z

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 d337a85b-70b0-46af-8709-0c2a5f94ceb8 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Planning with Diffusion for Flexible Behavior Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:05.684610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a845ca4a-07e2-4662-b820-f4b5c46b3357 · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end au- tonomous driving

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.946945Z

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 e748a58c-9697-496e-aaab-a963d2754bb2 · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Think twice before driving: Towards scalable decoders for end-to-end autonomous driving

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.775484Z

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 8bc21e03-8ddd-4944-91a8-99d6724b2315 · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Vad: Vectorized scene representation for efficient autonomous driving

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:06.122169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9084c3-13ba-4df4-9e92-2dedd4e7eac4 · outbound

This paper cites Motiondiffuser: Controllable multi-agent motion prediction using diffusion.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Motiondiffuser: Controllable multi-agent motion prediction using diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:06.240992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23bc8f61-a88c-4809-9ecd-b91d5d3b78f9 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Elucidating the design space of diffusion-based generative models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.630147Z

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 459ba859-1d56-4576-a7c2-35492c1046ae · outbound

This paper cites An energy and gpu-computation efficient backbone network for real-time object detection.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy An energy and gpu-computation efficient backbone network for real-time object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.514731Z

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 aec3edde-efa1-441b-97a9-d50074fbefea · outbound

This paper cites Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:06.722198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c66791a-3f1f-4f73-9bac-57d0a985b36b · outbound

This paper cites Enhancing End-to-End Autonomous Driving with Latent World Model.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Enhancing End-to-End Autonomous Driving with Latent World Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:06.820904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c21bfd3-d29f-44c1-a041-538317ffec4d · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:06.892855Z

Source-reported events for the cited work

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Observation 76875995-66d3-450d-8a24-89d3aa06fd44 · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:06.989885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129ed9b3-1b09-4d05-8973-b29c8e2879c0 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.071689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b1be1a-5c34-421e-a45e-d6e03d108cb1 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.163245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf638e46-25e4-400a-adce-0603ae39c133 · outbound

This paper cites On distillation of guided diffusion models.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy On distillation of guided diffusion models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.262216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9a79089-d654-4e30-ae57-4cb86c0a9b1e · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Multi-modal fusion transformer for end-to-end autonomous driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.356729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7505bb5f-b720-4b8c-8440-9753a1bf5cfd · outbound

This paper cites Design- ing network design spaces.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Design- ing network design spaces

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.334355Z

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 01a1791b-5981-4539-b69d-f05ca1ba0a09 · outbound

This paper cites PlanT: Explainable Planning Transformers via Object-Level Representations.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy PlanT: Explainable Planning Transformers via Object-Level Representations

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.550817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b8565d-9c0d-4485-a025-8c4b6295fc45 · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Motionlm: Multi-agent motion forecasting as language modeling

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.189370Z

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 a542222c-447f-41c7-b09b-307c15f5d3b9 · outbound

This paper cites Safety-enhanced au- tonomous driving using interpretable sensor fusion transformer.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Safety-enhanced au- tonomous driving using interpretable sensor fusion transformer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:11.000733Z

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 e637e5ff-8e85-4101-bb07-b8d368ffb500 · outbound

This paper cites Reasonnet: End-to-end driving with temporal and global reasoning.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Reasonnet: End-to-end driving with temporal and global reasoning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.800047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f00183ec-5f85-4209-b40f-92b64c3b4dfb · outbound

This paper cites Denoising Diffusion Implicit Models.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Denoising Diffusion Implicit Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.894980Z

Source-reported events for the cited work

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Observation 9d98de5e-76b8-44a4-a12e-78ed9e289556 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Score-Based Generative Modeling through Stochastic Differential Equations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:07.982861Z

Source-reported events for the cited work

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Observation 6d3262e1-4e2f-4093-8456-4e2072106474 · outbound

This paper cites Consistency models.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Consistency models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.062984Z

Source-reported events for the cited work

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Observation c7692184-235a-4030-881b-27d9d5b39e86 · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.137046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9836df7b-49d7-40f5-8166-2478ce3933d9 · outbound

This paper cites A survey of end-to-end driving: Architectures and training methods.IEEE Transactions on Neural Networks and Learning Systems, 33(4):1364–1384, 2020.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy A survey of end-to-end driving: Architectures and training methods.IEEE Transactions on Neural Networks and Learning Systems, 33(4):1364–1384, 2020

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.230405Z

Source-reported events for the cited work

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Observation 2346e78d-4a2c-4c6d-a272-69841de924e5 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.321744Z

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Observation 3a6965e7-dc09-4864-aee4-bde095b1cc67 · outbound

This paper cites He-drive: Human-like end-to-end driving with vision language models.arXiv preprint arXiv:2410.05051, 2024.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy He-drive: Human-like end-to-end driving with vision language models.arXiv preprint arXiv:2410.05051, 2024

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.415792Z

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Unavailable: canonical work link unavailable.

Observation 8a65c3f9-4b41-49e1-bbc3-10cf8e61d931 · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.512356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e408b9-d528-4dc0-a2a7-2fe2785b5ee8 · outbound

This paper cites Para-drive: Par- allelized architecture for real-time autonomous driving.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Para-drive: Par- allelized architecture for real-time autonomous driving

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.637355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea61bcb-076a-449d-8dce-064b1ea27939 · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline.Advances in Neural Information Processing Systems, 35:6119–6132, 2022.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline.Advances in Neural Information Processing Systems, 35:6119–6132, 2022

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.730966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c84262-4e49-4060-b7dc-390de749b3b2 · outbound

This paper cites Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving.arXiv preprint arXiv:2503.05689, 2025.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving.arXiv preprint arXiv:2503.05689, 2025

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.798824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb2b229-b3ee-45fa-8424-7793f474ae69 · outbound

This paper cites Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:08.885878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6ccfbe-2bcb-426f-92c1-3122868c121b · outbound

This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:09.004357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42651330-c6b1-403b-a851-72d20a1f50e0 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:09.114586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b5a46c-d10b-4d6a-bb52-29e29ec64b5b · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:09.271971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fbe302c-9469-4b1d-a88c-573487fd9587 · outbound

This paper cites Scaling vision transform- ers.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Scaling vision transform- ers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:09.485180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c3af77-3094-421e-8011-bde605aa8da3 · outbound

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

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy End-to-end urban driving by imitating a reinforcement learning coach

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:09.611130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f489fab0-eac0-49dd-bf5a-f0b04f8270c1 · outbound

This paper cites Diffusion-Based Planning for Autonomous Driving with Flexible Guidance.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:09.718177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Hidden Biases of End-to-End Driving Datasets.

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 d544bbd0-1c06-40f1-bbf1-56f52d3b9bec · outbound

This paper cites This enormous difference reveals that directly modeling the trajectory space is more effective than the noise space for tasks requiring high precision, such as autonomous driving.

DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy This enormous difference reveals that directly modeling the trajectory space is more effective than the noise space for tasks requiring high precision, such as autonomous driving

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:10.778486Z

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.

Pith citing papers

Observation 633b46db-50af-4c5e-8f54-4bd4b1aa5880 · inbound

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving cites this paper.

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:57:00.678719Z

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 2152d850-e361-47e8-9602-165697cd083b · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:18.685055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56ba320-a479-463c-9124-15560cd19214 · inbound

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution cites this paper.

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:56:14.004178Z

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 684ed2b1-8234-4d86-a0f5-f8b469e79f81 · inbound

Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving cites this paper.

Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:27:40.171854Z

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.