Pith. sign in

Paper Citation Record · LEDGER

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.02105.

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

pith.paper-citation-record.v1
2606.02105 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:19:55.826828Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 571c4b0b-1924-4f50-a73d-c9ddcd25e5b1 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:5024928101e9c5d2dbbd7c521e685a934f70df0b948a8a18247728043d8caf41

Observation dd4ca3bf-afe1-4b2e-9945-9a8682190664 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving End-to-end autonomous driving: Challenges and frontiers.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 2024

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:3929b6df61d423923ec6123fbb783aeb4886b603cea45a5dd9ab1cfcfa28687c

Observation 333be17d-89f8-43fd-8a0f-ed1fa0e1d0a2 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Diffusion policy: Visuomotor policy learning via action diffusion

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:a781e7f528b549eb425ea697b95cc2920c53ab1751cfa27fc860d988da10be71

Observation 63f75977-64bd-4957-a407-2cc821434c98 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:93958f720f82b370d1c1bfb537cb0d37d47f42de219aaa39ab151a5272734b1e

Observation e9480d8f-7ad9-4cbd-aa4d-6371c91397b8 · outbound

This paper cites Lopez, Vladlen Koltun, and Alexey Dosovitskiy.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Lopez, Vladlen Koltun, and Alexey Dosovitskiy

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:79116a7f14871930cf05ca4ef2000eac7db4710ac58a4048e1ee06d372a959a9

Observation 3748c864-6c08-48f6-84bb-7abd8f4daddd · outbound

This paper cites End-to-end driving via conditional imitation learning.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving End-to-end driving via conditional imitation learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:1f4ea464f21d1ece18c6afa6673446df44b84bbe816b578337095dbb35f3b1e6

Observation eab85372-03c9-49ef-a5a7-5bc1905eb7fb · outbound

This paper cites López, and Adrien Gaidon.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving López, and Adrien Gaidon

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:285068052c94dfacad9a23bdccba65b64d3c62ed957af696e22ecd44735d9a11

Observation f3af6871-728f-45e4-8e06-1c40be58063c · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:1e9a1515602c6c51854263edbe2640df462cabfac05d224730e3e9adae000333

Observation 4517d12f-958d-4a24-9ad6-1160930d6923 · outbound

This paper cites Carla: An open urban driving simulator.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Carla: An open urban driving simulator

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:8ae3381e2c3f2e0e551b2a56c0272a701804f35362ec153be23ece5ab2334716

Observation 74e27db3-a917-4114-a468-7d982fa1112f · outbound

This paper cites Mapping like a skeptic: Prob- abilistic bev projection for online hd mapping.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Mapping like a skeptic: Prob- abilistic bev projection for online hd mapping

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:88d9907f43926065858730540842cec08914aaf11c1c9006da74a409eb5c5486

Observation 7fc278f0-4601-4d5f-a0a9-67afeb9fdce5 · outbound

This paper cites PyTorch Lightning, March 2019.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving PyTorch Lightning, March 2019

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:9da1065e295d9cb18700267774fe0de0e18997a4cb526014bab4dbc4104b3a6a

Observation 1325df0a-6cc4-44c1-84d6-ada9ac7ae40d · outbound

This paper cites Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:4b039e9a176e03f2250f0f918a36acfb333a86e8acb5d0fb81b3510b1e0462f1

Observation 225762d2-fc8a-45b3-8a00-55018d11bca8 · outbound

This paper cites Dropout as a bayesian approximation: Repre- senting model uncertainty in deep learning.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Dropout as a bayesian approximation: Repre- senting model uncertainty in deep learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:5637a7e29ac525056c19aaec2ffa7bcf0346743ffbbe63dd007d35c582c882de

Observation 35c36c0e-cb70-4ba2-8bc3-0e802b8d8903 · outbound

This paper cites D 3nav: Data-driven driving agents for autonomous vehicles in unstructured traffic.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving D 3nav: Data-driven driving agents for autonomous vehicles in unstructured traffic

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:cc1b2e2948d789d1a8f4627485711a37f1d6b769eaddb2f883240c5a492303d5

Observation f6680778-56ed-4439-8b37-5580f68c5cb3 · outbound

This paper cites Eta: Efficiency through thinking ahead, a dual approach to self-driving with large models.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Eta: Efficiency through thinking ahead, a dual approach to self-driving with large models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:b2cfbdb838180963ce9c42761099efb0ce60e261c3d7cbff90023e5835bba8e7

Observation 6142a5de-a822-4309-a952-c3730aa02688 · outbound

This paper cites Urban driving with conditional imitation learning.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Urban driving with conditional imitation learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:0a816183fdd46a53984ad7760b200f8e19de2d38ca32621600b36c61d01ac29b

Observation b2631aee-f851-438e-8277-87b614b048de · outbound

This paper cites Deep residual learning for image recognition.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Deep residual learning for image recognition

Reference 17

Resolution
verified exact
doi, observed 2026-06-28T15:22:19.564503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:ae165fa60819c5660761361f21e6c90e5ae001de327d80f31cebc4ee283a2ca6

Observation dd94da92-27a2-486b-90cb-8b1cb40b2551 · outbound

This paper cites Denoising diffusion probabilistic models.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Denoising diffusion probabilistic models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:81fe7e2fa25c9c2d12c5b59873de3f9c655637896e3eaff339c613b086c6dd73

Observation 0d78fdc5-640d-48d1-a27f-102a5ca4a447 · outbound

This paper cites Model-based imitation learning for urban driving.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Model-based imitation learning for urban driving

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:4aadfd5651837bb6ff6664b1cd5993c336d6c93a174f9255a87a4e169a5a9254

Observation 7915cee7-d6f3-4bdd-92f2-74cda0d00f7d · outbound

This paper cites Tracking meets large multimodal models for driving scenario understanding.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Tracking meets large multimodal models for driving scenario understanding

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:9b4c031cf65ec198b9abdf2f731b171bd216f4022ea5727f6ab9b3629d360e11

Observation 1939a3c3-f47e-4617-ae04-58086d2347f9 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Driveadapter: Breaking the coupling barrier of perception and planning in end-to- end autonomous driving

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:50ed06f5cd9b983476e4cdb54f7792ca9090c8c1484a28eccafaaa0946a6751b

Observation c8989452-b275-49bc-a7b0-bb1c0424355e · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:29ce98e158dae2b29e2fff8f086139374b5b82989340d5aab5dec7ddc260d216

Observation 8f722141-2f68-476c-9a52-a3fc9f9e7397 · outbound

This paper cites Drivetransformer: Unified transformer for scalable end-to-end autonomous driving.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Drivetransformer: Unified transformer for scalable end-to-end autonomous driving

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:c12a4563f20f35013181b2a055702173f335174743b2486220f323bf80fabb9c

Observation eba93d5c-df5f-4aa8-9cd4-c9c4de237c96 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Elucidating the design space of diffusion-based generative models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:53c8b01572d16149315181bf7186e49b6f214d6cc335b67149a2d42b0aae2d7f

Observation d343c3d6-5a91-4c29-89d9-99005b2520c3 · outbound

This paper cites Dualdistill: A unified cross- modal knowledge distillation framework for camera-based bev representation.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Dualdistill: A unified cross- modal knowledge distillation framework for camera-based bev representation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:27bc6e0cd20d46b42ed2f7dbeabe4031d4a8022e009a493701a975d79a951819

Observation b1a35c4c-6a9f-40ef-9f0c-7e8a0400882c · outbound

This paper cites Logen: Toward lidar object generation by point diffusion.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Logen: Toward lidar object generation by point diffusion

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:e4bd4fc4ad6cac155e70de80e9e13fe8e54b1c6d37e27c28360b8218720e808b

Observation 57a0d875-774e-49db-81bd-a2b3f1de1942 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Think2drive: Efficient rein- forcement learning by thinking in latent world model for quasi-realistic autonomous driving (in carla-v2)

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:88170430a6e68c7101963098168f1d353c19cc45322c5368f49d67150df682c8

Observation 28d4dfd6-9958-41a3-ac4f-7d3f52ffb18a · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:36:16.593274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:a83562f88fefc51831adbd1ca1a6bcf11574d53e49cc0289cd4b0824cb7b6e8e

Observation 895ac024-76d0-4b19-9627-60583bd013b7 · outbound

This paper cites an unresolved cited work.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:8befadfcb692a2d091427f7ae975167632cdb2594d0cc1257d85f2a28b2015e5

Observation bfddb834-0955-40d8-bf0b-73a720015ece · outbound

This paper cites an unresolved cited work.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:02a9702ccb1077cabc276e6e0efe105a0a434616dee1eb5b484589270249bff5

Observation 5bc154c7-bf04-4366-88a4-3d72c2a5171c · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:6598bc98e24e16e4b9fd445ffc67f3d26fda4b83d3b5a1124f8cf0e2ae691da9

Observation 80a5c2e2-618d-48d7-b4a1-e38755c2a1fc · outbound

This paper cites Bridgedrive: Diffusion bridge policy for closed-loop trajectory planning in autonomous driving.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Bridgedrive: Diffusion bridge policy for closed-loop trajectory planning in autonomous driving

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:f14b83c17baf2564648127fdb22dd83a6784b068722559e32b95878a87770f2c

Observation ff26b0f9-8473-44dd-a8af-5fb3ddcf549e · outbound

This paper cites Curran Associates Inc., Red Hook, NY , USA, 2019.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Curran Associates Inc., Red Hook, NY , USA, 2019

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:20d140527ae19fd31016b47ad8e5a5dd078ae3fe0e61b28faf94697fb29ca97e

Observation 9174e4b9-c1e1-4750-b153-23edfe3dfbc1 · outbound

This paper cites Fast: Efficient action tokenization for vision-language-action models.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Fast: Efficient action tokenization for vision-language-action models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:456d5b54a3afa7d9ae16afc5f315468b1112908b00a948c63dd30728f703e4c4

Observation f093d223-1da3-4eb6-b592-485c97f2f403 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Safety-enhanced autonomous driving using interpretable sensor fusion transformer

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:f7ffdfc3fd6920db3b09ccac35e2ca0b48cf40481d245f4c149a66c546027262

Observation dd5933c7-ca35-4c7f-8fc6-cb62454baff8 · outbound

This paper cites Denoising diffusion implicit mod- els.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Denoising diffusion implicit mod- els

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:005e6f3cc7f8709bd451368bc1f43303d82302436a418ae6ddb1c0ce99d995aa

Observation 20d95af9-5d4d-4ac9-891d-e525c322864e · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Dropout: A simple way to prevent neural networks from overfitting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:50d9fad3330737c3cb2a135ef3bb223f7dd569692b4b9ffa5dba67fb08dc4905

Observation 18b7214d-b8eb-4af2-a9b7-dc748aedb4fc · outbound

This paper cites Lid-lab-nerf: Generating temporally consis- tent, labelled lidar point clouds using neural radiance fields.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Lid-lab-nerf: Generating temporally consis- tent, labelled lidar point clouds using neural radiance fields

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:79d8f81291dd04bedae1158c759dbf80053262cb028a42787ab5dcc1e51b0e11

Observation ad3bba7b-78c7-40b1-9290-834293810461 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:71873cc437b53513c53170f020ff5af44ced643320d461bdf25f3920058af856

Observation 3629fc5d-3764-421f-b0d6-6f29c03dc610 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:16342fcb4670473aff2934eb5c5dcac97fe8b9e1ac8766736ed08ced34938537

Observation 2ff83534-3436-4e9c-adbf-7b67407c19f9 · outbound

This paper cites an unresolved cited work.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:90681411ce7c4097cecfb5325726619934e71e19dcd0b355d646b6946ec301f9

Observation bfec7054-5bfe-4faf-b13b-f3d227cd3e7c · outbound

This paper cites Diffrefiner: Coarse to fine trajectory planning via diffusion refinement with semantic interaction for end to end autonomous driving.

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Diffrefiner: Coarse to fine trajectory planning via diffusion refinement with semantic interaction for end to end autonomous driving

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:4a51ce05b8b72e2bec749f1ae0b665d8875a93599f3ef2361fb9c8ac944bcae2

Observation 05713cde-a90d-4709-9b5a-1efd07018b89 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:36:16.596427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:1b8b8f0ebcc3ce00d8745ceeea3596ea63051931e0a04807c72f90d1b873c447

Observation 28042d83-5b8f-4de5-89ee-dc7aff0c2a68 · outbound

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

Multimodal Action Diffusion for Robust End-to-End Autonomous Driving End-to- end urban driving by imitating a reinforcement learning coach

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-28T15:19:55.826828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:19:55.826828Z digest=sha256:de61f354c22b32aa0a854616dabdd1dcd139aa9fef0ab5024440d531953b520e

Pith citing papers

No inbound Pith citation observations are available.