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Paper Citation Record · LEDGER

Epona: Autoregressive Diffusion World Model for Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 16 inbound Pith citation observations for arXiv:2506.24113.

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

pith.paper-citation-record.v1
2506.24113 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:29:52.127061Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:32:54.894607Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.888694Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10c8e198-bb2a-4f56-a575-d78b59a44d09 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Cosmos World Foundation Model Platform for Physical AI

Reference 1

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source=pdf_text observed=2026-08-06T21:29:46.636813Z digest=sha256:21fb573c1d02651d7a640dfc0c75dc133353b9e2598395db47ec91dfa9b93129

Observation 519e4e27-95b0-4994-826a-0d1ee1bbefc4 · outbound

This paper cites Albergo and Eric Vanden-Eijnden.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Albergo and Eric Vanden-Eijnden

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:46.736615Z digest=sha256:474067e091465647a3e8f3c237d9474e6e251ca648711110b6d3970dc0299bde

Observation 45188212-5484-4fc8-ad95-9f87bbf89b91 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-08-06T21:29:46.883176Z digest=sha256:b458572119292ddfe4d69312ac4ae5e936032038aca573d1e21d486b550227d8

Observation 801fd1d6-5698-4d1d-816e-d49b350ba708 · outbound

This paper cites Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:46.969904Z digest=sha256:d8b082d45ee2b8b5f3f77413a18bbe9a3ebfef4abddcdc18c4193ca94bdc6b87

Observation 38feba94-1727-4fba-9a5e-5dc454eb0748 · outbound

This paper cites Lan- guage models are few-shot learners.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Lan- guage models are few-shot learners

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:47.027755Z digest=sha256:7bc7188c90ba2689006dd5609950660f8d6ccdc5038433292e7def6496e5351d

Observation 36d75716-f173-4e66-a956-e8d0b9d15963 · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving nuscenes: A multi- modal dataset for autonomous driving

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:47.164816Z digest=sha256:617aab3b5e899e68f1d79382eee6c0ec2c83ea07d789dafb0a256860ce818266

Observation 48edb3b7-1d25-440f-ac73-ad045fd46f10 · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:47.297155Z digest=sha256:75c255fe5fbca8fe5ec77d76bbe6a33a6e635a99c7a3bf8a489ae425d2d222eb

Observation e0af041f-595f-4a24-9ea8-331ca5b687d2 · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffu- sion, 2024.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Diffusion forcing: Next-token prediction meets full-sequence diffu- sion, 2024

Reference 8

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source=pdf_text observed=2026-08-06T21:29:47.415878Z digest=sha256:7f6970400ec08a2fe6fad2b09a4ecffe9cf0c83ad310a3776583d84243b9beca

Observation edca7b82-b620-4069-a14a-2b67cdbb8199 · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 9

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source=pdf_text observed=2026-08-06T21:29:47.549505Z digest=sha256:7088eabf5157384c0a90517c8789dd128c4619c836e7490ec05fe60fba7e97a5

Observation 2392ba5a-a88b-49a5-964a-a624b06f7d61 · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 10

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source=pdf_text observed=2026-08-06T21:29:47.695967Z digest=sha256:5afd58b7b8492dd220879a53d848c30b7597fe971ca757cf386c939d4c90c1eb

Observation 6fb8d3fc-7add-48cd-87f4-fd300334c299 · outbound

This paper cites DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers.

Epona: Autoregressive Diffusion World Model for Autonomous Driving DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 11

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source=pdf_text observed=2026-08-06T21:29:47.854416Z digest=sha256:a4b18bd2938b1fd8ae5d907690d24cfff823575a51a63cf1aa34f54a4df2b023

Observation 3668d31a-0559-4620-813d-fb8007cec35f · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmarking

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:58.935445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:47.991609Z digest=sha256:7323b62661487e03ca06bc6588caa11078def6573f1a1fb22f6c084e51b42d5b

Observation 1fa156db-8d24-4e59-9e96-43e8c1b56529 · outbound

This paper cites Understanding world or predict- ing future? a comprehensive survey of world models.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Understanding world or predict- ing future? a comprehensive survey of world models

Reference 13

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T21:29:48.142732Z digest=sha256:d154329379852d3b95be987c9e23190e114df15dc08eabd964bf807a3c42a339

Observation c3d3fbe0-8a7e-4144-b80a-c8701ba32cfb · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis, 2024.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Scaling rectified flow trans- formers for high-resolution image synthesis, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:58.826989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:48.246194Z digest=sha256:9526ea5d03ed3937f2b09c2097b61f6e48c5ccebae5b76e0722c894d9bc06700

Observation 8cfc1f07-6c54-45f2-b35a-15032480e022 · outbound

This paper cites MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.

Epona: Autoregressive Diffusion World Model for Autonomous Driving MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control

Reference 15

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source=pdf_text observed=2026-08-06T21:29:48.370370Z digest=sha256:160e3cca1a9dcd792ef47a5004eba65c4746425c6a0a81c6acc42f0e843a6aaf

Observation fb6a0fae-caa0-4ca9-9f7a-a6a8066793af · outbound

This paper cites MagicDrive: Street view generation with diverse 3d geometry control.

Epona: Autoregressive Diffusion World Model for Autonomous Driving MagicDrive: Street view generation with diverse 3d geometry control

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:58.722441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:48.536367Z digest=sha256:268fa5413635336687c02519f94f436b9a7eb21ea78ed136a8d654eb7b366191

Observation 5fffe906-df10-4dcc-9df8-14d9ae09e568 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 17

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source=pdf_text observed=2026-08-06T21:29:48.654117Z digest=sha256:f1103d2d7ddad521e2fec240a00e8b13cbc941f6e88b54ee474619757684a1a8

Observation 6d2260a1-6b29-479b-a684-08871cc56c55 · outbound

This paper cites DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model.

Epona: Autoregressive Diffusion World Model for Autonomous Driving DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 18

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source=pdf_text observed=2026-08-06T21:29:48.761264Z digest=sha256:4f837f677e1fb6f7a299211012eb7e469451a3f36608b5a36c2c97891102ea7c

Observation 8d4b8ab3-2c5f-4882-b8f4-a8188efc61a3 · outbound

This paper cites Infinitydrive: Breaking time limits in driving world models, 2024.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Infinitydrive: Breaking time limits in driving world models, 2024

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:48.867238Z digest=sha256:4e0e08a290d2e4b7813142a9ac783afc36b8cd72235be7b03f14879b303c4cb4

Observation 35b4bf2d-b469-4508-93d6-1bcfd6152293 · outbound

This paper cites World Models.

Epona: Autoregressive Diffusion World Model for Autonomous Driving World Models

Reference 20

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source=pdf_text observed=2026-08-06T21:29:48.937042Z digest=sha256:465e9d07e345469b507988681a6bbd0e6052351f28495a37348729d3d7ad390a

Observation 4c87d0c7-373b-491a-9a99-3ed3d5b7090e · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 21

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source=pdf_text observed=2026-08-06T21:29:48.989774Z digest=sha256:48418883a55ab9fc4c8337e87cdab23f8a85eabe9c90698c83940cfb2db761eb

Observation cbb1cd73-2576-44ef-827a-56c2c681f971 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Denoising dif- fusion probabilistic models

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T21:29:58.477494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.019866Z digest=sha256:84368c53c8f4aacda8e50e46b6ef721c0c8fd21679370fea22c5c8dc472d1de3

Observation 261aaabf-2713-49cc-ae03-c3e27042f639 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Epona: Autoregressive Diffusion World Model for Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 23

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source=pdf_text observed=2026-08-06T21:29:49.068257Z digest=sha256:d7a4e8097a014f86fb2418cee7373c26afa75a758883aa2a2262610811844109

Observation 1a32e034-ebd3-4b16-b84f-75bb7a4af9dc · outbound

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

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

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.101857Z digest=sha256:ed54cb0dac23151958b8417c2646700cfce9da402ea84c10c6064ffa9dffb4ff

Observation bb55e9a0-0669-4394-a68e-ee0fb00a8013 · outbound

This paper cites DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT.

Epona: Autoregressive Diffusion World Model for Autonomous Driving DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.144575Z digest=sha256:033dbdbbc5668c7f27a7a5675ff669fac70235e0d1753255cc8379c3a1f09eea

Observation b3ef0645-d6c7-4ae0-8b47-a0092597f61e · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models, 2024.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Hunyuanvideo: A systematic framework for large video generative models, 2024

Reference 26

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raw_fallback, observed 2026-08-06T21:29:58.180986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.179002Z digest=sha256:b8a7725cdbeaf6993b53e85dcd55168e1cdb2ecc327c4557ed2d00448609c22b

Observation 85b6f15f-db0e-4fff-b0b9-ed032d1101c5 · outbound

This paper cites Adriver-i: A general world model for autonomous driving,.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Adriver-i: A general world model for autonomous driving,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:58.067358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.205615Z digest=sha256:a55e18d207572c68140a4f99d9aca8efe448e9d270a182a1eb085a97156a0067

Observation 2addc021-5e77-4ee2-9d02-8fad20d55d43 · outbound

This paper cites Vad: Vectorized scene representa- tion for efficient autonomous driving.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:57.856215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.231336Z digest=sha256:fc453ed96ad7439931b4bd5ad086d3be2176a898826fb1af538021733a3a06be

Observation 176c7e8e-2d20-42fc-a88a-afb6e660bcf2 · outbound

This paper cites Fifo-diffusion: Generating infinite videos from text without training.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Fifo-diffusion: Generating infinite videos from text without training

Reference 29

Resolution
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raw_fallback, observed 2026-08-06T21:29:57.706578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.256360Z digest=sha256:c5efd7642267907bccbefb8d63ba0e95f436a99daee6b67876081e9f1b6da5a9

Observation b09fa098-9fd3-4d17-91bd-8b3d79d9390e · outbound

This paper cites Drivegan: Towards a controllable high-quality neural simulation.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Drivegan: Towards a controllable high-quality neural simulation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:57.525210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.293582Z digest=sha256:8a9e3301f47725949299e590d1700414abfa3f5d5997e4ec7896ea24321905fe

Observation 32b06cf1-2a6b-4474-8ea8-5e101f4ea38c · outbound

This paper cites an unresolved cited work.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Unresolved cited work

Reference 31

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.319309Z digest=sha256:d480967f49103a3662314f3e68bffc9c628924d168f57c58ff87f17a5696dfa1

Observation 16df9347-d153-422b-b60d-9ca5b46e94b6 · outbound

This paper cites A path towards autonomous machine intelli- gence version 0.9.

Epona: Autoregressive Diffusion World Model for Autonomous Driving A path towards autonomous machine intelli- gence version 0.9

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:57.137009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.356511Z digest=sha256:3e104c822f3773a85da73c1d7edd56a18465864997ad512c1d68f55d7919943c

Observation 2b0e0ce8-5ce2-422c-8512-9e70fc742f6f · outbound

This paper cites Enhancing end-to-end autonomous driving with latent world model.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Enhancing end-to-end autonomous driving with latent world model

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:56.917251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.431481Z digest=sha256:a303a5913d9c797e3250427de420f401cba3d7147f68c3980f6c337a1eaa6c4f

Observation 4c441980-c271-4a9f-a5c8-01bac57a039d · outbound

This paper cites an unresolved cited work.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.498919Z digest=sha256:056cd46037ece0acb9265c52ff1fc0cdbeff5bba6e7988a74dbca3998d0105e9

Observation 5fc0decf-86b2-4b1c-897b-1345a1913a73 · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 35

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no resolver link, observed 2026-08-06T21:29:49.546561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.546561Z digest=sha256:eddf20542c783c035b6b1a8b2fe2da5b86ec682f7aa1b32f5c2b0647b4b6919a

Observation b2357fd2-83f0-4f2c-9267-02ef93cd7621 · outbound

This paper cites WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation.

Epona: Autoregressive Diffusion World Model for Autonomous Driving WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.578090Z digest=sha256:09e3206aa3f58e57d5708d45686220ebb6d662294d6c08161a155ea58f861804

Observation 70aad937-70fc-48c6-8b89-903179835a1e · outbound

This paper cites Latte: La- tent diffusion transformer for video generation, 2024.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Latte: La- tent diffusion transformer for video generation, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:56.520282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.618176Z digest=sha256:bf67738903036fe34ac1fec4c53650a3450b617cf94d7b5815e046a26020fed2

Observation 48adc81f-3add-42f0-b020-1c06312195f6 · outbound

This paper cites JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation.

Epona: Autoregressive Diffusion World Model for Autonomous Driving JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.667972Z digest=sha256:fe76ba6a0c1e3d52dc04ebf3d4167f1064666fc9af821d995f1b7637a946289a

Observation a5b9ebc4-b2bf-45c6-ad92-21a991de2650 · outbound

This paper cites Scalable diffusion models with transformers.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Scalable diffusion models with transformers

Reference 39

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.726154Z digest=sha256:bfc13a233974df5c5854c6a3519148eaf5ae9f6112d812d6fc52c429a6ab3435

Observation 9a9d9357-64f5-4902-82f9-6b5e6bbe4b7c · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Multi- modal fusion transformer for end-to-end autonomous driv- ing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:56.306097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.764347Z digest=sha256:2c72c7d90d3bc1635b0068dab5ed4d58c5727172aabcc9418a9a96ffb193fc9e

Observation cc33732c-51ab-4580-9a8d-38e5a6ddc59a · outbound

This paper cites Freenoise: Tuning-free longer video diffusion via noise rescheduling, 2023.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Freenoise: Tuning-free longer video diffusion via noise rescheduling, 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:56.138103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.814272Z digest=sha256:b581455634586d51b4a7ac7f422059c27cf2d0870853416bcb9ce5ba698424f0

Observation fe68b7f4-8aa0-4a82-a70b-2c700d2c8ffa · outbound

This paper cites Improving language understanding by generative pre-training.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Improving language understanding by generative pre-training

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:49.860737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.860737Z digest=sha256:1fb69700271e5a1c94266ca5dfccf8a17a04e96ffdfda9e5702ae678bfcf8b9e

Observation 34cc9787-1c19-42f5-a3e1-0eca53d644b2 · outbound

This paper cites Language models are unsuper- vised multitask learners.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Language models are unsuper- vised multitask learners

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:55.986285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:49.937229Z digest=sha256:bc8582d64660f4d2da294ebb0e1d3372edd6cc50dd1453420743fceef2d4da0c

Observation 92f721c1-91fd-4c00-ad5f-32b7b19daa53 · outbound

This paper cites Einops: Clear and reliable tensor manip- ulations with einstein-like notation.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Einops: Clear and reliable tensor manip- ulations with einstein-like notation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:55.832641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.019367Z digest=sha256:c6f02d90c5db3dca948d9d585412e1c788fa96bdbd87746d29d6f4128177c9ca

Observation 800facfb-c369-49c5-b61e-ea2e0e3e1211 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2022.

Epona: Autoregressive Diffusion World Model for Autonomous Driving High-resolution image syn- thesis with latent diffusion models, 2022

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:55.631728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.096904Z digest=sha256:d8c866703fed2341f57a2cfe1bab7e1d8a9e7f789e44f184a16161eb8a51332b

Observation 083ec243-7598-4012-8250-02d428df61fd · outbound

This paper cites Uniad: A unified ad hoc data processing system.ACM Trans- actions on Database Systems (TODS), 42(1):1–42, 2016.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Uniad: A unified ad hoc data processing system.ACM Trans- actions on Database Systems (TODS), 42(1):1–42, 2016

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:55.480506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.191035Z digest=sha256:ac10908d403dee10e93e367f50ce77aa568e06eea8500039f74d11e0fb8858ca

Observation c61e0d7a-eb41-4023-993d-a3245c26e470 · outbound

This paper cites History-guided video diffusion, 2025.

Epona: Autoregressive Diffusion World Model for Autonomous Driving History-guided video diffusion, 2025

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:55.269032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.251273Z digest=sha256:df5a1ba212869178cbb51f630e8128288d508c893598c84abc77df8b0b4526e8

Observation 7fbaf61c-ef03-45e9-8d93-f62ecb0eb741 · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Score-based generative modeling through stochastic differential equa- tions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:55.126145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.312572Z digest=sha256:55f42f7927ba920dc0e4505533251804c4666b348e5a5d38fe07952d6d9a8ce3

Observation d35c23a6-ee53-47fb-a302-78acab4dfbb7 · outbound

This paper cites Scene as occupancy.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Scene as occupancy

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:54.913028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.390728Z digest=sha256:5dd141e913f1134382afcfa019e02ef44e76972f51780312481dbd7fab60d6a2

Observation 9566d937-a05d-4ea1-b63f-03cf03290fbe · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:50.472477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:50.472477Z digest=sha256:138e0e535bb91b3ce942a83b76aa247f5f554e922f9898a3a52dfe45ad23bbfc

Observation 3e9dae41-5733-4ead-b1c2-c1d576a632ee · outbound

This paper cites Diffusion models are real-time game engines,.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Diffusion models are real-time game engines,

Reference 51

Resolution
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no resolver link, observed 2026-08-06T21:29:50.552349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:50.552349Z digest=sha256:b40170421aff0cf5cc77a085494ec8271aaea6ef4f6d1b2ba7dfbbc3ef9ed98a

Observation f396dde5-07b4-4308-a4c1-57988ef92eff · outbound

This paper cites Attention is all you need.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Attention is all you need

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:50.606335Z digest=sha256:2beb9c561a1ab33b1f3e5dea10421b8e833a2b8f5f1639fd2bf882a7e7f771b7

Observation 67c211a5-aab7-4033-8cd7-0fd75e0ba1ca · outbound

This paper cites Phenaki: Variable length video generation from open domain textual description, 2022.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Phenaki: Variable length video generation from open domain textual description, 2022

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:54.695267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.690947Z digest=sha256:28d1cade6ecdfd63efcdcd2a67f7341d5cb8a3e2e819a99b5a529ebdbc9f3535

Observation cdb76e04-ca4f-49ab-a578-ababe0539eda · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 54

Resolution
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no resolver link, observed 2026-08-06T21:29:50.767973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:50.767973Z digest=sha256:b6197bd85ee690ed2ccc7cde40f680d0a1223f9ff7e580f7b792ce0416008793

Observation ad81f2bf-92ce-458f-a5a3-c9c90a7dffe8 · outbound

This paper cites Zola: Zero-shot creative long animation generation with short video model.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Zola: Zero-shot creative long animation generation with short video model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:54.503616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:50.840079Z digest=sha256:e09aecc3a514d1d497c3f4875df0bdfc910fd3dd379bb412a84e744a911733e5

Observation 7bd55091-5084-4bd3-8fa2-a813adb8c5da · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

Epona: Autoregressive Diffusion World Model for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:50.913000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:50.913000Z digest=sha256:e1cfed06823713eaa559c7cf8c61bc7f2c71a1b3fa1f7466a644bab7fd451eb6

Observation a1c44c72-467f-41d3-9fac-9b7e2c13686b · outbound

This paper cites Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Au- tonomous Driving.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Au- tonomous Driving

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:54.270347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.005822Z digest=sha256:fe350fb8ff9af5961b9fabaea1a3a9fcafc7146584055f2070cddfe8d21b9fdc

Observation 3b595bee-1447-41ca-969b-564bbdf78eab · outbound

This paper cites Loong: Generating minute-level long videos with autoregressive lan- guage models, 2024.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Loong: Generating minute-level long videos with autoregressive lan- guage models, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:54.109576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.111875Z digest=sha256:db2fd2938d009bd63ef74d7f381269248e40d672ac04fa9ea0d7015a343d8bc3

Observation 583aff98-08fc-4d17-944e-aceb1468e73a · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Para-drive: Parallelized architecture for real- time autonomous driving

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:53.896336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.208796Z digest=sha256:5f9c3b0da4bd9dc864b2b4be9d5f2cce2b11e551f6006b15ed1cef796fa52757

Observation d9a4e3cc-85df-4f84-a499-18e4bbd709ad · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Goalflow: Goal- driven flow matching for multimodal trajectories generation in end-to-end autonomous driving

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:51.280043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:51.280043Z digest=sha256:1035ad81c115e66af6699c9fd5e0c24170edb531bf9508950b5b3384a6d56bd9

Observation 43787eb0-d251-44f3-bc4a-e3caf96ab6a7 · outbound

This paper cites Generalized Predictive Model for Autonomous Driving.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Generalized Predictive Model for Autonomous Driving

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:53.737518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.360456Z digest=sha256:11649612fb04bf04cc3fe25e8006aab36befd3da21580bcee7af0cf729b78d31

Observation f5cbcbe6-e6cd-4daa-8e50-c3e35a2fb03c · outbound

This paper cites Nuwa-xl: Diffusion over diffusion for extremely long video generation,.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Nuwa-xl: Diffusion over diffusion for extremely long video generation,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:53.537703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.451119Z digest=sha256:a6d02e17cbceb1ae4acc00a69d98840eff7e00149af24777c1ea56495b369f50

Observation b8ecaefa-3794-46a2-b360-3029bc48592f · outbound

This paper cites Ang Jr au2.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Ang Jr au2

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:53.342143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.541743Z digest=sha256:f8a2535a04c5b878c70f5ea53f304886e49a34df48545a3deed0d3382657eb2d

Observation 76232ea8-4c94-4d4c-b789-5c845cab1a3c · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:53.141882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.657092Z digest=sha256:7e2379c1c87c34e8b40d54780e90409d824d87e451ad5f4b9c70239687cf27ec

Observation 00818932-3c56-4c35-8709-81a795f0b080 · outbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving Genad: Generative end-to-end au- tonomous driving

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:52.953055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:51.776401Z digest=sha256:7bbe66c8980b3e033de1f40c8396127c86b633cacd0db17eba4052da5b96630e

Observation 60a3305f-4606-4642-bd04-1423c6ba62f9 · outbound

This paper cites Doe-1: Closed-Loop Autonomous Driving with Large World Model.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:51.874454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:51.874454Z digest=sha256:2411c04d140503a5f25f534ef0ffeaed29c0c5cea09736d83f0a0e02b61bb587

Observation 942bf50c-5e5d-4e3c-b098-35ea47b9557d · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:51.956132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:51.956132Z digest=sha256:32b503874c9f913cecb7585c8196cebcca5d4a69becaf8c3e61d681bc4a96dad

Observation 7914a9f6-9790-4816-b150-e636f3d7e524 · outbound

This paper cites single-step prediction.

Epona: Autoregressive Diffusion World Model for Autonomous Driving single-step prediction

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:29:52.805740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:52.060807Z digest=sha256:35d72f31f7ecf119bda23ce1c68dbd4263f39b7d09792483ba1b55331cd7181f

Observation f96601c3-44ab-46b6-94fd-596a54f83a16 · outbound

This paper cites an unresolved cited work.

Epona: Autoregressive Diffusion World Model for Autonomous Driving Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:29:52.635418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:29:52.127061Z digest=sha256:ad27eb95390142c806909d1c70dd175c459fe558f9bdc16240e686399221b92e

Pith citing papers

Observation 82e6a31f-dead-4d43-86a6-b2abc9cee4a0 · inbound

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization cites this paper.

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T18:32:54.894607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:32:54.894607Z digest=sha256:43f6f6496ab63e546f2be2fb8bfcaab6cb12a7f67e32fee5887bbed194f526bb

Observation 965904e5-b8b4-4eae-8f7e-c33c8240573c · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:17.949279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:17.949279Z digest=sha256:5c52da42931326a3bffe1d537a1f67928e26fb5ef2b7ed2519fbaac1fdcf43b8

Observation 7aeef57d-048a-4f5d-b264-3678d317120a · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:38:21.141988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T19:34:39.518649Z digest=sha256:52048da411de9935b1d1be2072bd272a81d98043d286efbe5b1e3c11dc9c54d4

Observation d38ffd3a-67fc-4eec-b300-ed10c6d13f12 · inbound

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving cites this paper.

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T12:06:28.685764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:06:28.685764Z digest=sha256:a2d42d39e3a07bd76c64c69a220170e0bf6fe72cd3eef95a87c5c08af88b573a

Observation 0ab9486e-e7fa-4ab5-862b-96942e74606d · inbound

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving cites this paper.

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:09:53.268497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T09:07:01.727331Z digest=sha256:90a6d3220595b730a926c71d04267077b275d33abe27391884bc0816515196df

Observation ad9728cf-0f58-45ba-92b1-30408a0c19be · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 218

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:12:26.223582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:1c2e0640216e396a3fea8696a9d4263e9be786bfb9328f3c68b792a12bc82a87

Observation 463d015c-b4e2-47f3-af4f-0cd846cdbbe4 · inbound

Unified Map Prior Encoder for Mapping and Planning cites this paper.

Unified Map Prior Encoder for Mapping and Planning Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:40.049966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:15:31.806757Z digest=sha256:263c640d44cfc04f11dacb81f050f55edd5e14862ff87f9c00def2150efbdd56

Observation d68c8d72-b4ab-4e0b-bbcc-8a7ef4ae9504 · inbound

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation cites this paper.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:17:01.955723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:16:15.422226Z digest=sha256:c90b449597504fa64ff906e5d5873a922bad9d77bdf578aa45df1f72640d0fa1

Observation c2c8e0a1-7afe-4002-b0c5-4cd8041692d6 · inbound

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation cites this paper.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:24.986495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:ef193de39786c20e9eb9a2481c0bef089bc99e3bfaa0d47f215e4268c73721f9

Observation 0b2ddcb4-849e-4149-aaf6-62ce12478855 · inbound

PhyWorld: Physics-Faithful World Model for Video Generation cites this paper.

PhyWorld: Physics-Faithful World Model for Video Generation Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:33:07.556616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T07:28:20.248452Z digest=sha256:89e65ca210a36bc9c8955714eeb2edc016bdaf4e5cdbb35acc2dc7afa857cfe3

Observation a4a1b515-4476-4a6d-99bb-18c97fac789d · inbound

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model cites this paper.

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:41:15.060428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T07:37:11.292270Z digest=sha256:3775bf6a0d49a53e99af03b50cdf0e80344efeb322c8ff21e234b1aef7b7b167

Observation b5b4dbd3-8828-4681-8679-5fa32af8d96c · inbound

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model cites this paper.

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 113

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T02:59:26.736608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T18:34:56.810124Z digest=sha256:04626226d0dfad52086a4e7b3d58131db73e1ff71a2a8e187e9d1b7ff1e9c536

Observation fefc6ba3-161b-447e-8f36-025291a7c9e8 · 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 Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:44.890114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T09:06:54.669489Z digest=sha256:0f9ad8e4ee619eb260744b607148235e6a452359ef7b8ce0aa2b3f6eda9ff3a6

Observation b83f6eee-4a50-47f4-90b9-19c2edbf0037 · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:58.430768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T01:58:46.435886Z digest=sha256:095c67cc6e7ed307c6753eb11a02906aae99dc9f3a33a7fa7ce06298bce817e2

Observation a3e06c47-43e5-4e9d-ab72-9204a8410b44 · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:19:04.131379Z digest=sha256:f5daafb4607804d96e7281e8f914aa0b4bfb0dad25235715617e85c0a95fb3c0

Observation fa80f6f8-361f-4da0-a43d-9bd74c1d9b04 · inbound

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation cites this paper.

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation Epona: Autoregressive Diffusion World Model for Autonomous Driving

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T02:55:46.219198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:55:46.219198Z digest=sha256:fecc8e075a49a2f688ce6a2a8235d8625aadd4bac5f94b5bbff756183adf52a0