Pith. sign in

Paper Citation Record · LEDGER

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 46 inbound Pith citation observations for arXiv:2411.15139.

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

pith.paper-citation-record.v1
2411.15139 v3

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:32:48.331783Z

measured 108 of 108 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:52.225461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.203930Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 003c28d3-2ef9-4a07-ab61-5303a921c0c1 · outbound

This paper cites Tenenbaum, Tommi S.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Tenenbaum, Tommi S

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:49.016238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.122476Z digest=sha256:4642b21d8fe09ca48a1d026f1e09f6641fa72617730dd01ce0f73e5e9426f654

Observation 3f7246a2-19fa-4369-b7ac-05720edff0d0 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving nuscenes: A multi- modal dataset for autonomous driving

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:49.005962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.126746Z digest=sha256:4fdbe1ac3a77cf1fb65ed04580069ce1022fe01a925f9af4bfbc0df46b6f712e

Observation 2638f0f9-95cc-41da-b736-e486092f033b · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.130278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.130278Z digest=sha256:eb25c1daec53ce395783c5358756a64b21c1f58c0c0805dedacf6cdf179d43c4

Observation f5745238-45b7-4b5b-9c77-daef4dcfdd1a · outbound

This paper cites Polardetr: Polar parametrization for vision-based surround-view 3d detec- tion.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Polardetr: Polar parametrization for vision-based surround-view 3d detec- tion

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.995509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.134272Z digest=sha256:f850d4da2527afb80101e5fdb5a5b0504e479c1a71f88299ca6dc6097b34f546

Observation a0f5d003-b7dc-4203-b35a-6966ae76db46 · outbound

This paper cites Ppad: Iterative interactions of prediction and planning for end-to-end autonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Ppad: Iterative interactions of prediction and planning for end-to-end autonomous driving

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.984423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.137886Z digest=sha256:a470e575cf2a6ebe2f690aa08acd46b8a376d00dc9bdb214b656368d3b09eee2

Observation e237173b-71ed-4932-b63a-9c259f3e14b3 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action dif- fusion.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Diffusion policy: Visuomotor policy learning via action dif- fusion

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.973730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.141617Z digest=sha256:7a6680f4c9a761aa27f2dc18ab5b7cb9f2bcc3654629f3531b7317760c182777

Observation 0732050f-6851-4159-86ff-c73f59f098c6 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.963688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.145451Z digest=sha256:9ace929611fc041b097a8fede0eb6676b694f85b3d30134cde5dd9e60d1a2ec4

Observation 254677e7-0552-4006-830b-c73b3a1929f2 · outbound

This paper cites Dice: Diverse dif- fusion model with scoring for trajectory prediction.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Dice: Diverse dif- fusion model with scoring for trajectory prediction

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.953740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.149284Z digest=sha256:8bf3af795737163edbb4b7c403ad60bcaf0b966715245c1f0f5c224ff5306b0e

Observation bc595cd0-db18-4564-b4e0-dd4de4b74f7b · outbound

This paper cites Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.943453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.152673Z digest=sha256:63a42a952c5eafc22709d865c83a95585416df5ee62defd0bb81ae0a689056b8

Observation ea579417-ff91-4fa2-8454-e26531e37215 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmarking

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.932986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.155819Z digest=sha256:e90c19aaaf5f34e91ab4ce06716e860878e2b97984d09cfd1dea55b892c41e9f

Observation 968a47d2-0152-44a6-b561-041412fee56a · outbound

This paper cites Carla: An open urban driv- ing simulator.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Carla: An open urban driv- ing simulator

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.159521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.159521Z digest=sha256:e1fbf05f4cd23b3b4bf943fcb42faaa7659788a8e54a6c30f78e0ad6ee7e8822

Observation a77349c6-963f-4002-9672-5c83ff15c533 · outbound

This paper cites Producing and leveraging online map uncertainty in trajectory prediction.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Producing and leveraging online map uncertainty in trajectory prediction

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.916095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.162932Z digest=sha256:91f37f6a80810a22dbf28a20de246648a9a5f845d98302635c813e41f3808481

Observation 963a20ef-4f73-49fd-bddc-2c396f222ba8 · outbound

This paper cites Deep residual learning for image recognition.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Deep residual learning for image recognition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.166316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.166316Z digest=sha256:1bb80747846281b16c6a91133eaed0b059e34aba59870d6281cac375547b9b6b

Observation 24d0c658-bc25-4ba5-9aaf-3d07f4e576ad · outbound

This paper cites Denoising dif- fusion probabilistic models.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Denoising dif- fusion probabilistic models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.170890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.170890Z digest=sha256:f5cb92ec2f1e9ec8659519bcfa266fd4073f989257fd13587bd9fe1842d736ec

Observation facfb0cc-1949-4d98-9253-e3e9424e19be · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.893423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.174167Z digest=sha256:e2db670142fd5a5a0f7905613f64b4ae5b0819e988791e274520599662b3d1c1

Observation e0b338f8-12da-4128-a17c-1a40f14c9edf · outbound

This paper cites Planning-oriented autonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Planning-oriented autonomous driving

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.882803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.177654Z digest=sha256:3adab8c03b10e677b21b54bbfb1d1c452b775338b249e4341344009e8f56aa55

Observation 551349c3-03b9-468a-a436-0e70da887f32 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.181123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.181123Z digest=sha256:5a9e47b9da6ebc64507d8254506c96d42e42e1633ceb6f3821e3dce8b5c013e9

Observation 315aac17-cf60-4c20-8576-ad54b313d939 · outbound

This paper cites Versatile scene- consistent traffic scenario generation as optimization with diffusion.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Versatile scene- consistent traffic scenario generation as optimization with diffusion

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.185137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.185137Z digest=sha256:b54e76bc13f98425809f14a3e9ad6a50753858f7f344bccb8a8b49ab8b7a46ef

Observation bf4578e2-8e30-4672-8908-2baf774dd383 · outbound

This paper cites Tenenbaum, and Sergey Levine.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Tenenbaum, and Sergey Levine

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.873296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.188289Z digest=sha256:0d55d06d3af2cf85551cba169ae226343b6be53384bb5d041b009d67ef0f6186

Observation b5f96e88-413e-466f-b90f-d60b649094eb · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.863143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.191588Z digest=sha256:502cc55a0d6ecc1f2aaae0a69fb157965ecf6cdfef2133b0aac8032e7b37dfb0

Observation ff2ff4cf-f93d-4aa5-b57e-27396aa1e2ac · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Motiondiffuser: Controllable multi-agent motion prediction using diffusion

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.853245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.194483Z digest=sha256:fb7e4f1f2a1e71d367e4b8982fc93f00c8b77a25e8fb47f2f7b8bd764922db0e

Observation fa22aa64-eea6-4022-92a6-674f799c2cf9 · outbound

This paper cites Towards learning-based planning: The nuplan benchmark for real-world autonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Towards learning-based planning: The nuplan benchmark for real-world autonomous driving

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.843052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.197565Z digest=sha256:aab59907917ef705878efd228284872138b7323d4b9ee756fcaacd93ba38ad54

Observation f1992be1-40f2-4465-8f50-16f1d76a9ff8 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Enhancing End-to-End Autonomous Driving with Latent World Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.200614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.200614Z digest=sha256:bd215ced160e8d60ecadaa02175808cf1fb53a30d016bbbf962a830b27dea0d8

Observation 13a5eedf-7559-4b1d-a543-7cdfc7147d9e · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.203930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.203930Z digest=sha256:e3f80355c8f229b3d20a51b3af9e8c6529b0f80896c2cd3f256066d44f9999d5

Observation 87634b8a-6e66-4a1a-a964-822273c39572 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.207128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.207128Z digest=sha256:e014873316a7e698e9a30079a7457e81b78d70f265183443cb592f68e3de7109

Observation 60c46931-7e4a-40b0-b5e6-2494050c8aa2 · outbound

This paper cites Is ego status all you need for open- loop end-to-end autonomous driving? In CVPR, 2024.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Is ego status all you need for open- loop end-to-end autonomous driving? In CVPR, 2024

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.210644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.210644Z digest=sha256:607d4d083ff4843357f11e0d0ed64e4561f59848b7934cd2cb1911c4af782460

Observation 109e141b-410f-438c-8957-c1de7299493a · outbound

This paper cites MapTR: Structured modeling and learning for online vectorized HD map construction.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving MapTR: Structured modeling and learning for online vectorized HD map construction

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.819299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.213750Z digest=sha256:7a1f4e2f128b82830c8e5656f3c3843f4b4718e312f8085fd831976594e77c12

Observation 57d7e8a5-4d24-4257-bd78-2d3127488ea5 · outbound

This paper cites Maptrv2: An end-to-end framework for online vectorized hd map construction.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Maptrv2: An end-to-end framework for online vectorized hd map construction

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.808911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.217449Z digest=sha256:1770327833395eaa6c46487cc87890318566497571707e7a6e34f9e06124c85a

Observation df7c389d-5b36-413e-a8a6-27acf8d773f6 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.220723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.220723Z digest=sha256:86e40c42e1c8e65cdf2742db93226699d76e4f6532735bcd09d3fe2b9ecee118

Observation 4512ece7-e4da-4a9d-8cbe-521ae1ea055a · outbound

This paper cites an unresolved cited work.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:32:48.798140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.224172Z digest=sha256:e7b1fa3c385c1acb7ec2af582681ad5117500d9f23910a119ba6aad2031066b2

Observation bbb12d9d-3549-4b3a-bf16-dc6850e7d5d3 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.227355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.227355Z digest=sha256:4617e9708bbe63329e1e6a7e05bb941bd8e3574b8598e81eee2c050525260d35

Observation d4430890-a28c-4494-befa-460dfa76749b · outbound

This paper cites Vectormapnet: End-to-end vectorized hd map learning.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Vectormapnet: End-to-end vectorized hd map learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.788053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.230888Z digest=sha256:4d596fd35ddcd9f22f370ae025642592ba15786165cc9c4cf3d70b946713ba3c

Observation 35359879-0fc1-4b56-80fb-e6ce580e050c · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving High-resolution image synthesis with latent diffusion models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.234175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.234175Z digest=sha256:330988778ff0616f5286bf8709f071271115e05ba8e013624d993a97f5966658

Observation 46131929-5a50-4b0a-8e09-814426ba503b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving U-net: Convolutional networks for biomedical image segmentation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.237589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.237589Z digest=sha256:faf78d3b0e31ea23701d4d36b25c9270de4fa7926ed6d03ba425679198776c4b

Observation d9c26081-ffa9-4078-a48e-08cf543e9744 · outbound

This paper cites Denois- ing diffusion implicit models.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Denois- ing diffusion implicit models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.766421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.240920Z digest=sha256:98d56703349bb4275314c5b65eaac290b0ecf26a4d1566a11967d493924a290b

Observation 29f474f4-50d8-4058-91f5-ab019d6d10b6 · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Score-based generative modeling through stochastic differential equa- tions

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.244488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.244488Z digest=sha256:4618af382172733b7b3435bc29a461db296807804a586854af648ce5919bac38

Observation a224f4c2-2ace-4f9c-a50b-1163f0d8dce0 · outbound

This paper cites Nomad: Goal masked diffusion policies for naviga- tion and exploration.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Nomad: Goal masked diffusion policies for naviga- tion and exploration

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.749490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.247639Z digest=sha256:1faba308cdb3ed0a5e93caeb72f938ef00d4ed889d67a9b151b6ab74b5b3ad24

Observation e0e88fbb-b54e-4733-864a-1d1170acf57d · outbound

This paper cites DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:32:48.439973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.250786Z digest=sha256:bc208aa92cea481b66d02f1f21d9161f92f9e4623ed80c8f1954aa9ebf255182

Observation f17fd999-98a7-45ba-a214-50e022ab75af · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.254215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.254215Z digest=sha256:ceab6ac95e7d7487027a7d79ce6a4d80b624aa4e731ec87df3fd59095e3c3b92

Observation 3f16d085-8c04-4cb6-ae77-a21ccc0b3394 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.739950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.257445Z digest=sha256:d0177ffda68e1f49239546a7593193db9fffb670441eb7cca12174fbb051c1e9

Observation 3232a53b-7623-48cf-82ba-95ad1f0136ad · outbound

This paper cites Scene as occupancy.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Scene as occupancy

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.730555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.260702Z digest=sha256:22ede97dc2d1370e3cb96cb877369fe73ae58a20c7ce3089317a59aecb191f05

Observation f4a34580-3871-4e1f-8080-6e298bcbaced · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Detr3d: 3d object detection from multi-view images via 3d-to-2d queries

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.720531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.263997Z digest=sha256:6c577bdcddeb08840ec981079252f938c7cbd4a2adbfd5838acb779e1c295e3e

Observation 764423b5-336e-46ad-bbb5-a6896b734e60 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.709628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.267200Z digest=sha256:f10fa2b7e3efaed18db42600c8de84e815b35a7fa3a2a3815ddf02e5ce4785d0

Observation bb415c5f-e361-479b-915d-30fcecbd55a8 · outbound

This paper cites Opti- mizing diffusion models for joint trajectory prediction and controllable generation.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Opti- mizing diffusion models for joint trajectory prediction and controllable generation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.700255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.270586Z digest=sha256:b03b00f0a007d77978e02f3dc0337b65f1d299918c9782c76edecb2d8d4bd0f5

Observation 92989e91-d272-40bb-af2d-0ce7e78f10cf · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Para-drive: Parallelized architecture for real- time autonomous driving

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.690062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.273793Z digest=sha256:ac81965425a661d78c47dbd86f1f70f433e61f60eb8adda94ffc0a8bf9b25655

Observation ea977f15-1cd5-45b5-989a-aa449b0034a8 · outbound

This paper cites DexDiffuser: Generating Dexterous Grasps with Diffusion Models.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving DexDiffuser: Generating Dexterous Grasps with Diffusion Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.277087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.277087Z digest=sha256:36060fe2ef6edba958d9e2937679dbd7893aa2d71a4e5b7e162eed1e6422d4ce

Observation 08043dda-5e5c-4b40-8cee-7454151a6907 · outbound

This paper cites M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.280636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.280636Z digest=sha256:d6b7f3f7e35600a114a2afa1c0c74eb802b75b2ab2776ac8482c082e720574f0

Observation b7280c4d-b40c-4a50-8354-8dc24347eab1 · outbound

This paper cites Diffusion-es: Gradient-free planning with diffusion for autonomous driving and zero-shot instruction following.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Diffusion-es: Gradient-free planning with diffusion for autonomous driving and zero-shot instruction following

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.680324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.284345Z digest=sha256:9ed8daf4c0e98a7984f9f05720ec366e0ac889ae9c00558b591431209b344d53

Observation 1d1a5b03-d8d8-4f92-abcd-419691160227 · outbound

This paper cites Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.287793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.287793Z digest=sha256:159b13fc96343e793b2b12354ba4c3699cc55232744009f300d46be2e5c640be

Observation 519e868f-7e1d-4095-a6a6-2a1acb13d0f1 · outbound

This paper cites FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.291360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.291360Z digest=sha256:ef629e079344dc27895ec0dd45cbfa69c4c8b54bb52d504bd1a5e0c13ce26496

Observation 35c93394-530c-4495-b9e5-0c2295e6fe10 · outbound

This paper cites LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.294817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.294817Z digest=sha256:ed2b30bdcdf0843a49d8eb1febb1bdaf1c3ea0122994f6868050844ea57d8335

Observation 30f602cd-4631-4533-9c36-25621c06f5f6 · outbound

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

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.298437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.298437Z digest=sha256:e76dff758569d6ec51c371a94d8e89a845258d7fb40252ddadc79d863e553d56

Observation 1a7e498d-8fc1-4d44-8962-a201c860daa7 · outbound

This paper cites 3d diffusion policy.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving 3d diffusion policy

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.669833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.301747Z digest=sha256:a45058d49408945547eb89ea3852d45e25bb8145a4f2799abdb4088767ca6665

Observation 52cdea40-daae-4ffc-936e-e20fa9b6fdb7 · outbound

This paper cites Motr: End-to-end multiple- object tracking with transformer.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Motr: End-to-end multiple- object tracking with transformer

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.660070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.305159Z digest=sha256:b5fd39e5daa2dbc776ff234042d7448b699ce84a30bc4b361a1ea7b1fde6bf38

Observation cda9f47d-f1f6-4911-a60b-2842b26cdea5 · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Fairmot: On the fairness of detection and re-identification in multiple object tracking

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.650038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.308511Z digest=sha256:fcc7b9c2720d908467bd4138c2a2f43f9319a69083e3e9ad8d15f4894871a512

Observation 754c2683-adc8-4be7-9516-dd40f9768413 · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Bytetrack: Multi-object tracking by associating every detection box

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.639059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.311822Z digest=sha256:40d75f57f2002408a95819f5ad1fe1623ad7a03bc37036310778eb1c0869d8a0

Observation ae353eaa-eba6-41e5-bae1-3031cf616938 · outbound

This paper cites Truncated diffusion probabilistic mod- els and diffusion-based adversarial auto-encoders.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Truncated diffusion probabilistic mod- els and diffusion-based adversarial auto-encoders

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.627888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.315191Z digest=sha256:c062d0a25aa6d6b4cb7fd0bd7f95acf3728b1ec8c77dd4110b10b8f3d982fd6a

Observation eca6986b-f1a4-427b-b1eb-6c26ef036cc0 · outbound

This paper cites Genad: Generative end-to-end au- tonomous driving.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Genad: Generative end-to-end au- tonomous driving

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.617513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.318452Z digest=sha256:6838b736d4b7474a3dd74c4951d1913b66b58d29943651204f833f9625f2ce62

Observation 3673b36c-a39e-474f-9034-a448bbc6f256 · outbound

This paper cites Language-guided traffic simulation via scene-level diffusion.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Language-guided traffic simulation via scene-level diffusion

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.607180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.321864Z digest=sha256:8863f3c7cb4023804976dd1c5e313fb9d78d5b125927edf00f954141149003b8

Observation b72d21c6-9ae6-4744-a555-824aac18a0e4 · outbound

This paper cites Guided conditional diffusion for controllable traffic simula- tion.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Guided conditional diffusion for controllable traffic simula- tion

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.596712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.325253Z digest=sha256:db0e09a290a391f665d6d3f322222220b5f024988b617bfc4753f33adbc3f603

Observation 8a9f4e30-1fc2-4657-bc46-5e1945de4108 · outbound

This paper cites DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.328463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.328463Z digest=sha256:6f598d955df5af17ba4b7a5de7f2aea542a6ef7df03ab025bc63cc41034a3a00

Observation a13515ad-3b13-48a5-8fee-253a88611e5e · outbound

This paper cites Anchored Dist.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Anchored Dist

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:32:48.586473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T14:32:48.331783Z digest=sha256:c07b93aee99396d45e1875f60fd2b7d53a9a0dfb62bc0a27d2bf90bd4fe73956

Pith citing papers

Observation 984fd64c-bb02-4182-8629-5e0d92ba2202 · inbound

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks cites this paper.

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:51:36.338862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T19:51:36.137985Z digest=sha256:419a3c66daba89a9804a7cae4db341639f0f3c7c581bc48b252a67ceb713a5cd

Observation 36ab4c55-e120-4a7e-a559-b5181144f1aa · inbound

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning cites this paper.

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:06:27.217999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T20:06:27.136345Z digest=sha256:b3eeebc3e9603bea318dc68dcfd1181a3651a6a3848dea65843de462d02fc5b3

Observation ff35846d-ca08-422f-87ac-6cd0e556ee74 · inbound

Fully Unified Motion Planning for End-to-End Autonomous Driving cites this paper.

Fully Unified Motion Planning for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T12:32:52.225461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:32:52.225461Z digest=sha256:c2750b055db0a6870beb6243acd8fc97c540e6c171c398f26d0903e5c0b4e35a

Observation 53a570a2-d320-4898-bf78-bd0dc954c634 · inbound

ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving cites this paper.

ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T05:54:07.772419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:54:07.772419Z digest=sha256:67eb01a3cf929dcd465bd6e69b09c7641640a5ea72bcb6c657fb86d9efb8c045

Observation 9bdf17d0-e0ae-4b16-b9f0-8cbb3ad62763 · inbound

AGI-Elo: How Far Are We From Mastering A Task? cites this paper.

AGI-Elo: How Far Are We From Mastering A Task? DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:22.359332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:22.359332Z digest=sha256:d5d91293b4baf9a6bc0dc02426f9550ec07bef774e46b89a3bf450a1490a4236

Observation 4d34b5b5-0516-4630-ae80-3a278e574eeb · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 246

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:07.289184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:07.289184Z digest=sha256:5ea9c7edc4a066ba4abdcf4439b1cee31120b117c31de2464c7266565c378ed4

Observation ae23d648-fb32-48f9-8915-697a967e85e1 · inbound

Challenger: Affordable Adversarial Driving Video Generation cites this paper.

Challenger: Affordable Adversarial Driving Video Generation DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:16:03.477121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:16:03.477121Z digest=sha256:67aae73d6fe9bd6ec05f0106ea6ef8cab54d2b5129e2bd348cf5b2f52d29aca6

Observation ede9ab01-0bb3-4d3c-9df5-de32e8efc830 · inbound

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain cites this paper.

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:51.484045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:51.484045Z digest=sha256:8ba063754eb16950b0639f535965731cf7b8d2950625ff3741a88f3bb163ca9b

Observation d57c5529-276b-4bcf-8c48-503ba18f9d4e · inbound

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning cites this paper.

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:19.240165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T13:19:20.215467Z digest=sha256:3b88195721f32f0824e6aa95bb4faf3e3222d80f84135dee13a783bac030c87c

Observation b879e75c-b098-43be-98b9-2731bb5fbb97 · inbound

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving cites this paper.

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:51.689375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:51.689375Z digest=sha256:b4908b98045821a6488141728361231b2bb40dfe04ec16cfd21eb191f7d4863f

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

source=pdf_text observed=2026-08-07T14:18:06.989885Z digest=sha256:7eb934134585cf7b348c3586fbe03a35710d458e1bb4ca186c47ded17b5b2739

Observation eb13e415-60ca-4f34-b588-f86f7341aae8 · inbound

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving cites this paper.

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:09.992735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:09.992735Z digest=sha256:b57af258aae761cf63eead209a7a50476d841fe04d19d5107b738671b43dd1ad

Observation a232c86f-9998-4865-af5c-33b118002819 · inbound

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

CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:47:13.586403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:47:13.586403Z digest=sha256:967c0a9a4f6e48276b778286104a653e2fa4e109c2621c5983696d90cfad29d2

Observation efe9c5d3-be8d-4bbe-82fe-14344f57a76f · inbound

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring cites this paper.

HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:42.237836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:42.237836Z digest=sha256:5c68bc3235a395a0806a40f4e6f925eb417857d764e1291b53780e565cbed4db

Observation 3d526d48-951c-4487-81cc-ee78e9232f46 · inbound

TrackVLA: Embodied Visual Tracking in the Wild cites this paper.

TrackVLA: Embodied Visual Tracking in the Wild DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T12:58:40.270249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:58:40.270249Z digest=sha256:310b3f305ef1f81a9a7764a019afa2d1ffe580313292d299022e7380b1ca7e7b

Observation f3b801c7-260b-4288-bcf8-89a7485fb8b5 · inbound

RealDrive: Retrieval-Augmented Driving with Diffusion Models cites this paper.

RealDrive: Retrieval-Augmented Driving with Diffusion Models DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:52.255604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:52.255604Z digest=sha256:98f690a7375fa39aeefdb51e645486f5fb4a4860c2f0e9acf440bfae5f62e118

Observation e0b486f6-7123-4318-a15e-1fda2f18607e · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:20:32.191070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T08:18:07.233257Z digest=sha256:56c2d84fddabe6733be94a845e9a6076f745b1f1d046138a6ff929d6f27dac85

Observation 125ec377-e4f1-417a-844e-99cd7982d516 · inbound

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving cites this paper.

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:36:24.458523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T07:36:24.319361Z digest=sha256:94a233f1d85deeeafa883a9780cd638c57fc2662137d690b2a1ad746a484a4a4

Observation f6d22371-fd69-4579-959d-a2527b26ce68 · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:48.513554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.513554Z digest=sha256:c9819bb7cdc0790a99bef0f785aa5d9728e2aaa8ccce9e09df778bb3d5bcdaa5

Observation e3451749-7847-4195-9650-5e37b9d73e77 · inbound

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

FocalAD: Local Motion Planning for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:17:15.767555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T10:15:53.988156Z digest=sha256:d8c22380c7b727b240dbf871e7e371616b48a34425930b949a1010170dbef74d

Observation 6079d7a0-ff03-4ad0-8260-de742e5f041f · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:46:44.085683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T21:46:43.955825Z digest=sha256:cfed7d63f4c82cf012d873a418c89951aade59d8a3e6786a759d0155d887e1b7

Observation af8c6f50-a979-488a-9eb2-1f5d45e3d643 · inbound

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving cites this paper.

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T19:56:08.073614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:08.073614Z digest=sha256:85a9d120a98db778fd46413036fbcb1f6630bc5b1f8c89c72e95a03cfb4ddd17

Observation 49def2db-b555-425c-8c79-482e422fda60 · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:07:07.215573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T06:06:07.648947Z digest=sha256:f533f221557da99bb1eea9b220b1667f03600fb66ae0697761c6f343f78357d0

Observation 12b6ae95-e6b4-4b7b-a462-1c01365b2b88 · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T17:04:49.102620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:49.102620Z digest=sha256:5a4240f67675b61a4de1c701e54691c81f72f83b299c424f0320a2bd4cdc0807

Observation 884c8b4b-cb3f-498e-bd25-5ab4865f98b1 · inbound

PriorFusion: Unified Integration of Priors for Robust Road Perception in Autonomous Driving cites this paper.

PriorFusion: Unified Integration of Priors for Robust Road Perception in Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T10:56:22.516025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:56:22.516025Z digest=sha256:8394ce17b732eddb9c5b4c4108e1c88151b5d278e196ffe103998295ea58d66f

Observation d3ed15ac-2cde-4d4d-90c2-037ec1c684ee · inbound

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model cites this paper.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:44.226568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:44.226568Z digest=sha256:5c813427e872d6a1d74c1838b5990810936b6865e48ec915fca17016e94ce435

Observation 2be68a7b-7bbd-49c4-9637-7eca3de7b726 · inbound

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model cites this paper.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T23:41:31.799889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:41:31.799889Z digest=sha256:7dde8bfdafcf4f0b364731d716898721f60efb3d5ba4fa134e0161453d4df6c1

Observation 99fdbfc5-0bde-4051-9788-01ba29a644e5 · inbound

Multi-Modal Manipulation via Multi-Modal Policy Consensus cites this paper.

Multi-Modal Manipulation via Multi-Modal Policy Consensus DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:51:20.256825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T11:50:20.766891Z digest=sha256:9c6f4745d0671ab61b6740bea1dfb3a0c464aa0a3f48adc3d5330e895fa9ce77

Observation 5863703e-13ff-4763-8d3b-5162d8055bf0 · inbound

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers cites this paper.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T06:42:10.484406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:42:10.484406Z digest=sha256:24fe7e33b7f04ba3d9c7954ec32132c3e60f58f70c12494f2ce2dde8b914c55b

Observation ffc797fb-a992-440a-b25f-83b4263c84b7 · inbound

Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation cites this paper.

Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T06:23:18.732252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:23:18.732252Z digest=sha256:25da349b6a33f087c69729a02d27b47637274168da7d83f5e1ab57379976880d

Observation 03d3ef13-b7f2-426f-b044-eff232a4788b · inbound

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving cites this paper.

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T06:07:08.966984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:07:08.966984Z digest=sha256:ae37a429aca3fa54c1897b34eec0174dc90e6dbd424035aee291718cfa2a54a7

Observation 80aa6b35-c33c-4c50-ae94-42b41d0b4bde · inbound

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving cites this paper.

TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T20:21:30.104715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:21:30.104715Z digest=sha256:a70db05d5a0b65e8a8e3955cf41af2776a09da3a14a3582ddcc4eebb7b7bb6e8

Observation 81b637e6-fb06-4244-a3a4-716bc630ad2f · inbound

Decaying Turbulence and the Riemann Hypothesis: The number theory behind the infinite-time singularity cites this paper.

Decaying Turbulence and the Riemann Hypothesis: The number theory behind the infinite-time singularity DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-12T21:29:15.117270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:29:15.117270Z digest=sha256:1fb3e82b4abe217b06386343d37da51c567250315b24e95e21db7d1f2bfd37b7

Observation fbb5d91f-76c0-4707-a27c-64af2aac4674 · inbound

Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving cites this paper.

Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:50:57.563500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:29:18.981290Z digest=sha256:b24f1c539df13fba792951cd3d4e86fd41f49d435ad9e12a5fafa1c8e4e14407

Observation e45f24ea-45d0-4631-9ce6-94ff1a045598 · inbound

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models cites this paper.

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:56:26.687217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:27:24.653711Z digest=sha256:c6b97f67081db26b865b13da8cf1da50b83beaea0802b257aab7795d352ae1ef

Observation 3ac94b84-a80e-4539-baec-6773ea47e4ce · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:56:11.005780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T02:34:29.624029Z digest=sha256:261f9daba95ee59c1723327aaa2025da2cf8364a9ff107d45f748d5996a5ad33

Observation 79cf5a2c-287e-43f9-a1ef-e3f748ba6653 · inbound

Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation cites this paper.

Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:46:50.891352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T01:52:02.233177Z digest=sha256:4a9cb165efbf5b5d0f852f8f175dc09d3aec58e3c10685c16c194c68d760e1f0

Observation ddc3c0a1-a6bb-46fc-ae0d-7ec712696f3a · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:26.495950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:0bcc1a2ae553346d23213e632da3eda51b95295c396c2f7e7f2303ee2a1b155f

Observation 21c4587b-412a-429c-807a-f45c382fa9c6 · inbound

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving cites this paper.

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:08:12.266816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T10:06:30.679915Z digest=sha256:a301cb5ae4257a687cb9dd8637e94f3b266dc30cd3016185d68bc291c67b9f3a

Observation ef713ac5-36d0-4862-b66c-6e33550128a5 · inbound

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models cites this paper.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-20T04:58:05.307235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T04:53:31.033435Z digest=sha256:da0310a0e8a8f869729c635c39ef022fda44c84fb7afe1b4c4f2e791c9e12ac1

Observation 4bca50dc-b2cd-49e7-ab87-0a7628bc6840 · inbound

D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving cites this paper.

D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:26:48.290929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T06:02:52.244884Z digest=sha256:fe63050f115bc9eadfa77a0e8e9794199e8a24b8d13ab34cb7cbf548bb25a6b9

Observation ddc2fad8-4191-4d00-9285-be1b21aa3d20 · inbound

CLEAR: Cognition and Latent Evaluation for Adaptive Routing in End-to-End Autonomous Driving cites this paper.

CLEAR: Cognition and Latent Evaluation for Adaptive Routing in End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.908598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T01:13:01.362993Z digest=sha256:6ef0d8bd9566dae4abd8b2d640ca85f248387f8104859e8d8727506b0754afb8

Observation 1425787d-0389-452d-8773-4c96969fbe7f · 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 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.180234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T13:14:28.378548Z digest=sha256:2e55a7ddeae89bc3716f51dfa955500bb8b8db68a6dbe3768b2551a6f393fc64

Observation d631d773-4371-42f9-8508-3b254eb640a1 · inbound

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving cites this paper.

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.907023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T09:06:54.669489Z digest=sha256:b443234f27f2c137a33817f309d72f7c105a4ded16cdb5056ddc2ffad3b7ee29

Observation 5e7fc7df-d632-4cca-8bdd-83eba1788c06 · inbound

ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving cites this paper.

ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:30:07.205667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-25T21:20:14.654132Z digest=sha256:4857fb0b4a5a396e67331404bbea2ba6815db4d19fab25f1fd9a660d4c9c40d6

Observation 818d2849-b69f-4117-993d-a48df3700961 · inbound

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs cites this paper.

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:50.834575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:50.834575Z digest=sha256:a573f46a564caf0b54932867140c8fa72865fb84841d31bd1a96790e6a7c43cd