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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:46.736615Z digest=sha256:98b414106d9dc684673378a2f8c31e6401f76324ca8b0d3a6a94f4f1b8c551f4

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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raw_fallback, observed 2026-08-06T21:29:59.397169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:46.969904Z digest=sha256:4b6ab46c9dd7054697afe411c7c31efcf4a431b858300251997fc17500f40750

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:47.027755Z digest=sha256:2b1c5628e571a30d85095dc17603ecd58b7bd7dc953d7cc76f5ba94b82ad71ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:47.164816Z digest=sha256:7f4961b55a74a0af2a811c90e44d2c38ce07e135c1f5c6ebea2c4517cf10d525

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:47.991609Z digest=sha256:824e2e383a8025a366d64a98584004afec1c92dd31bd1a669dcae33ddc2c53ec

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

Unavailable: canonical work link unavailable.

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:48.246194Z digest=sha256:ebb4d4bc275575784e13b6378fc5d73c346c183ecca1e47ecb69ca0c91f875a7

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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Unavailable: canonical work link unavailable.

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:48.536367Z digest=sha256:f2d19c2c20afceaaee4a67dbdfce229c51c1ce968d6467dcac7b3d0a3ae40501

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:48.867238Z digest=sha256:03ff96c0be65a4931e54cf05cde36ef9f7d4828cf9a16047cde14ab3d1c222a4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.019866Z digest=sha256:7dfc9e63837b19f7d015c9dd30e9cc98c49af6fc513a72809cd4683ece054c0b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.101857Z digest=sha256:ff0be17ecff536ca5b29af5923c21be571a777d02c0d5f356ee2b46534ed0ef2

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:ee3d24aed75e271fdd2b123f3eb7a58e74f35b7e7d4b948af06442c1c3d9495d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.179002Z digest=sha256:c362afcfe8c8f42eb8c2771b7bdb0848229cd641113d799f2d1841efcf199cbf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.205615Z digest=sha256:82cc55dd35b6c983086c6d7ac0ddc8f2a343ac1bae93327caf8596f644c3b3a8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.231336Z digest=sha256:3c408a368f460d891f7a9ee705001fab725752601a68269babd47bfac760a80d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.256360Z digest=sha256:ef4bda9b88b128ce0056316e04a0b6016e0e06a53a188fe43cfcd8cf695d1cf3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.293582Z digest=sha256:54a1fa5f00efc5c79712b1dc848ccadcea0805302070d2cf2a14bcee5d9f1cca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.319309Z digest=sha256:4303063afaecb1435e14594261b02ba422f77a053d9151fc5339e83cf599001e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.356511Z digest=sha256:6f0ee7b1f3e41aa6fcf395f3fb240e554fc67da63d4f31207bf53abad0bb00f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.431481Z digest=sha256:6c897a9f70f1eec8f789fc6794c3d3a1807fd7b8c8340e647289ff75da7201a0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.498919Z digest=sha256:0a7c5aafc9f90dbc50ea4570c7dc8fa2095ea0411c6935d21c40471ec320d497

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.618176Z digest=sha256:28c7b472de34a233d0133b062419e4f00cd9e0d20000734600be3c9052bf39d8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.764347Z digest=sha256:b787fe2954b166091fa8328c1c0af4e700a275bea8b5916bcb066e040d13ae7d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.814272Z digest=sha256:4a1a39fb99ea70f789fa06269d945129336b15331cb7aaa2042aa30382dd974e

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.860737Z 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:49.937229Z digest=sha256:83c9e0a8594ba42a4234d53bfc3f3ec3daf8523cb7de99ebc1b0c5208ee44f55

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.019367Z digest=sha256:6fc9d88ea1cdc85d99df6a001af5eb9b75565776f28056e5462adf13c0e750e2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.096904Z digest=sha256:84ca22f2b6186bfe8b6a0fc7a91caab3eea33d32cced8db98ba06ff09e47c952

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.191035Z digest=sha256:2c53588a7416e1adab673e4315140a4d0b54263db22824e2f0e8d71784b81a31

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.251273Z digest=sha256:799c725c1d97528739b187bbfa0834ad1b316dd1b9e4774eea2d3367b3fd64ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.312572Z digest=sha256:1d7fd9cb26e1eec3a3e34772c40c79265843aa5edb2febb280968ef316026237

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.390728Z digest=sha256:539dabcd5104c15e2326d155a7cfd2ed47dbe399834e6a2efad32b28ca516e1e

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:50.552349Z 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.690947Z digest=sha256:6717e72f37cce1117c51c1a0de2ad1861523103b2ccef5e7304428404f9a957f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:50.840079Z digest=sha256:75b98948af58d9975cb083139c0f27a6d308b5c9f3986ff1257318cdfad7151a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.005822Z digest=sha256:81f15eccc4061ed2feec9e9de7002a8c62785a4878ca09694db9bfe36c0ecb1d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.111875Z digest=sha256:daf024bde195073553468343892125822708765fa44067ab3a26788068f35853

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.208796Z digest=sha256:28a8e2e7eba91e68ee98d104d6b56bad253500997f65261294ef0500284fdd49

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.360456Z digest=sha256:bc983f7ef60131923782b859a77e6dcd7d2a21a0df90357c1ec547534e98b1eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.451119Z digest=sha256:90660f1b88fb3ba41b1a82f8f64fc94cee3a6f89a523917e748bb4e1f891a92c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.541743Z digest=sha256:5bcd4fa4c39fd703498fe3bd67d951c8b51d82ca1b5851b98564aa2ea453cf08

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.657092Z digest=sha256:c986bbc632be3cac64b986c6c4a839f91e407d21bbe9da15776eae38966dba0e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:51.776401Z digest=sha256:3b25597d593aa6d5c441995a7a85d66cf789d2ce4afb79acc9726be8afde0632

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:52.060807Z digest=sha256:7f72478792d6412e0a829969bcb6c53a4dad8e1fadfefb866a0b41268e3d0714

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:29:52.127061Z digest=sha256:4864dd58ff8fdfd27b3e7c119ec2a118253e6416b8d69466d301fc090a0e6d99

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T19:34:39.518649Z digest=sha256:3ccc058af079ee683c3c1a9f9d95acb403784ffa7c5c11e10cf2a732f291f941

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T09:07:01.727331Z digest=sha256:28e34929834d520250c98618181c5bca7340e3e4ce3508a10024da39ee22b2c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:de97175f44984620833ad71c969413a1ad66d50bf7d28b4e50a710e102087256

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:15:31.806757Z digest=sha256:404e0cf07833af466a2c504ceabc25471f306327b74ae25b9bf7524fd68a69f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T01:16:15.422226Z digest=sha256:773a4fb1724a6df2ad1ddccd11acbe55812d9e4fc4cc72bf08d9de52808e7ffa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T06:31:26.421088Z digest=sha256:64e87495333d478656d0d6c77d746bcf616e731874355c3542e8ef7dd3e7ee33

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T07:28:20.248452Z digest=sha256:98c18392d9df25ba7e7fb14741128837655a01bf8658ee2087fc3ea7d6df84ff

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T07:37:11.292270Z digest=sha256:a66e98deadf1ad3ddf9aaa9cd8adf44dd39e7ad4756def11a46c65486e57118d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T18:34:56.810124Z digest=sha256:364fdeecf6677150af840955229b158f247970b03f3c6f83cbf88aa5f3117803

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:06:54.669489Z digest=sha256:64475452e10f84c4b17c150d8021ae97373c2cd935b63d5432285f962b3b6668

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T01:58:46.435886Z digest=sha256:ea9c39ebe3d126d41de188a9069e80e5928c624bdb3282e18101aa641921cefb

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