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Paper Citation Record · LEDGER

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving

As of 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.12762.

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

pith.paper-citation-record.v1
2507.12762 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:06.262282Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0dc62768-4ef5-4800-b94e-af6e5260c3ce · outbound

This paper cites Autonomous vehicles: challenges, opportunities, and future implications for transportation policies.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

Reference 1

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raw_fallback, observed 2026-08-06T16:45:08.000742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:01.494439Z digest=sha256:232922c1005b5c4bc1062f0862b1ab23a27367c555a47ae997e7094168456433

Observation 3d1eeb15-90f6-407c-85fb-debee6240846 · outbound

This paper cites Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Transportation Research Part A: Policy and Practice, 94:182–193, 2016.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Transportation Research Part A: Policy and Practice, 94:182–193, 2016

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 896af7dd-ae95-4cb5-bf35-a2e9012b4166 · outbound

This paper cites Vision- based traffic accident detection and anticipation: A survey.IEEE Transactions on Circuits and Systems for Video Technology, 2023.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Vision- based traffic accident detection and anticipation: A survey.IEEE Transactions on Circuits and Systems for Video Technology, 2023

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:01.737266Z digest=sha256:9607aa31ab22e5a7b349924f87f4620bd5a0a9f775eea25ebf490c8961aace07

Observation 126a94e9-064d-4c78-9766-29c080c8931e · outbound

This paper cites Dynamicattentionaugmentedgraphnetworkforvideoaccident anticipation.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Dynamicattentionaugmentedgraphnetworkforvideoaccident anticipation

Reference 4

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raw_fallback, observed 2026-08-06T16:45:07.924057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:01.869626Z digest=sha256:2a8105ee2e4c59c7fa35def25d49210215033a9d3ee60414f3fa66a51e50e207

Observation 8efadc60-2229-4535-86e9-abaaf9b41270 · outbound

This paper cites Antic- ipating accidents in dashcam videos.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Antic- ipating accidents in dashcam videos

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:01.995665Z digest=sha256:7f9f12444da790c98d844d13b354d99e8a44b7a450a7d5deec7c61e8a44a24ae

Observation 6bd849fe-3af0-4e16-9ac6-92b4e36df42f · outbound

This paper cites A dynamic spatial-temporal attention network for early anticipation of traffic accidents.IEEE Transactions on Intelligent Transportation Systems, 23(7):9590–9600, 2022.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving A dynamic spatial-temporal attention network for early anticipation of traffic accidents.IEEE Transactions on Intelligent Transportation Systems, 23(7):9590–9600, 2022

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.129743Z digest=sha256:799c97c5e899fed4553b3e828ab8d0a0d340ca1349e17f4f6629b10c86e88ee9

Observation d5103560-4c84-4582-bfea-716eb560064f · outbound

This paper cites Spatiotemporal scene-graph embedding for autonomous vehicle collision prediction.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Spatiotemporal scene-graph embedding for autonomous vehicle collision prediction

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.277163Z digest=sha256:40fe8d24589a2ad71142d45be3609b0258d2f9dfbc9b47c64287955a27a3423b

Observation 76ffa486-5768-4706-a7e5-06eda4ce4346 · outbound

This paper cites Global feature aggregation for accident anticipation.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Global feature aggregation for accident anticipation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.438231Z digest=sha256:0acf0ecee4f8adf6ab0a467495db186d101ad1162a53217d92ceb59dcb889b81

Observation efd22c88-d6e3-4339-8597-68ccf2056034 · outbound

This paper cites Scene-graph augmented data-driven risk assessment of autonomous vehicle decisions.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Scene-graph augmented data-driven risk assessment of autonomous vehicle decisions

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.523843Z digest=sha256:6e7bc8a3a86312d58001d99c7718d538347f87644899463d9fa86fb055357c51

Observation 269ba8a9-5e97-4984-9856-b8684123daf8 · outbound

This paper cites That-net: Two-layer hidden state aggregation based two-stream net- work for traffic accident prediction.Information Sciences, 634:744– 760, 2023.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving That-net: Two-layer hidden state aggregation based two-stream net- work for traffic accident prediction.Information Sciences, 634:744– 760, 2023

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.635187Z digest=sha256:869bcd30c8d5774b9cc7a4ecc01880c19b2467a274c62ba6ec8f2228ecc1b4b9

Observation 5464e5d1-cc6e-44e7-8d9d-78cbcf091689 · outbound

This paper cites When, where, and what? a benchmark for accident anticipation and localization with large language models.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving When, where, and what? a benchmark for accident anticipation and localization with large language models

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.716374Z digest=sha256:74365d0a19cb9afa1307e795e71497bcc6fc729fc3a1011b5c7dc5eafeb98c2e

Observation e0f6e932-4c18-40b8-8cee-f146f503e7ce · outbound

This paper cites Review of graph-based hazardous event detection methods for autonomous driving systems.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Review of graph-based hazardous event detection methods for autonomous driving systems

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.838977Z digest=sha256:18a8608ac2cf3e9c6813b0ebf82b9c3de14441b6fd1f4af987b37ea4d0a7a913

Observation c17d8cbc-8fba-4035-9a46-b4766b24c6e0 · outbound

This paper cites Graph (graph): A nested graph-based framework for early accident antic- ipation.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Graph (graph): A nested graph-based framework for early accident antic- ipation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:07.671499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:02.992566Z digest=sha256:f4b4c55b9dd32b4b8a090fa84e7ef14532c94c7f4ecdb32f966463a5c3f1cf03

Observation b5d9f9f7-1de7-4eec-8b8f-fe6b0ba4359a · outbound

This paper cites Latte: A real-time lightweight attention-based traffic accident anticipation engine.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Latte: A real-time lightweight attention-based traffic accident anticipation engine

Reference 14

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raw_fallback, observed 2026-08-06T16:45:07.646973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.156894Z digest=sha256:b8635c789bab6fbbc2e6deaa0f7dbade516277249cfb8e7aef5c0e2b6afcf3d0

Observation aa7fcaf6-85cb-47a5-859f-10f785c893f1 · outbound

This paper cites Crash: Crash recognition and anticipation system harnessing with context-aware and temporal focus attentions.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Crash: Crash recognition and anticipation system harnessing with context-aware and temporal focus attentions

Reference 15

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raw_fallback, observed 2026-08-06T16:45:07.620676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.308474Z digest=sha256:51d27d83caf3b5987746519c677cb4ee641add20d177845e0099106f910eb8a0

Observation 3555c7c5-fc81-4d7a-b819-eadc97cc8dad · outbound

This paper cites Real-time acci- dent anticipation for autonomous driving through monocular depth- enhanced3dmodeling.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Real-time acci- dent anticipation for autonomous driving through monocular depth- enhanced3dmodeling

Reference 16

Resolution
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raw_fallback, observed 2026-08-06T16:45:07.598137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.460963Z digest=sha256:034e94605f1de7beca134fb7ce211b2585cfaf42b3d0a540ab70767da58f0628

Observation b5addd15-aab3-4bf5-befa-7cc2043c0e93 · outbound

This paper cites DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:03.608314Z digest=sha256:04b1e4eede52f83d0252ec2b1881dd09fa10c50adbf16b6591421a00075ca7f5

Observation 18004550-c867-424e-bcb4-71fafbb5d985 · outbound

This paper cites Reflection removal under fast forward camera motion.IEEE Transactions on Image Processing, 26(12):6061–6073, 2017.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Reflection removal under fast forward camera motion.IEEE Transactions on Image Processing, 26(12):6061–6073, 2017

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T16:45:07.547129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.682650Z digest=sha256:a38203cd1dffd020729bfd1085498fbf955e6e584a99ee1a344f2fea5b9f5f44

Observation 3c57e919-6f75-467a-b120-8ca8e891d11a · outbound

This paper cites Real-time automatic traffic accident recognition using hfg.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Real-time automatic traffic accident recognition using hfg

Reference 19

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raw_fallback, observed 2026-08-06T16:45:07.511850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.718762Z digest=sha256:c262169b18c9ed6c11c70859b6d58c3c492e6b8b0f7bba73ea939167ba89eedc

Observation 577bdb2a-8951-48e8-8f89-70ebc0b20490 · outbound

This paper cites Unsupervisedtrafficaccidentdetectioninfirst-personvideos.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Unsupervisedtrafficaccidentdetectioninfirst-personvideos

Reference 20

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raw_fallback, observed 2026-08-06T16:45:07.478134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.824035Z digest=sha256:683eeeb3dabc7ba97de0661ecf8b8ec9e75f98e6b73a03809c464b6e311b76cb

Observation a25b94ba-87cc-4938-a6f0-cd652deae5f7 · outbound

This paper cites IEEE Transactions on Intelligent Vehicles, 9(1):2249–2261, 2023.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving IEEE Transactions on Intelligent Vehicles, 9(1):2249–2261, 2023

Reference 21

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raw_fallback, observed 2026-08-06T16:45:07.276285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:03.987777Z digest=sha256:802a55197c79aa2552d94531e7cdd6d98e4c22092b22623f3e0e1d9ab45c8772

Observation c6984d43-5320-4e9a-b737-af75c23bdd9e · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 22

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raw_fallback, observed 2026-08-06T16:45:07.247518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:04.130405Z digest=sha256:786ba3f18c3a6e4e4c7deb173a4ad4040f453d23ec941916c014d4c4e1701fb7

Observation f68bd6a6-c0b7-4645-a2da-bc5ffe0fff4e · outbound

This paper cites Vision- language models for vision tasks: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Vision- language models for vision tasks: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 23

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raw_fallback, observed 2026-08-06T16:45:07.219040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:04.357709Z digest=sha256:ac4834420b9f4e1d1586d1e030d1816fe926cf2ee5b48ab13721fa89cc491407

Observation 1cd6484d-d2ef-48f8-a2ae-3c6fa853b44c · outbound

This paper cites Learning transferable visual mod- elsfromnaturallanguagesupervision.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Learning transferable visual mod- elsfromnaturallanguagesupervision

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:04.523816Z digest=sha256:c7d0006f31092978f82fb46cb6d35e437a90393df14df47634bfcc21d8e5384e

Observation c06af918-e24e-4f23-abe6-0c484e334f18 · outbound

This paper cites Sun database: Large-scale scene recognition from abbeytozoo.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Sun database: Large-scale scene recognition from abbeytozoo

Reference 25

Resolution
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raw_fallback, observed 2026-08-06T16:45:07.171057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:04.712458Z digest=sha256:394b374abed7c7a1ada61f3799b249c6c9c20867eab3d3c9a2b877104bf16f55

Observation bc243f94-0646-4352-a831-4e1dd006cccc · outbound

This paper cites Enhancing vision-language models with scene graphs for traffic accident understanding.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Enhancing vision-language models with scene graphs for traffic accident understanding

Reference 26

Resolution
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raw_fallback, observed 2026-08-06T16:45:07.144391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:04.890842Z digest=sha256:dfa4e957a473511908e2307e1a68e524cb428e44e65f9c1f15686d04e1b96716

Observation d44f8ec8-5efb-433c-bc26-579991118fc9 · outbound

This paper cites Cross-domain traffic scene understanding by integrating deep learn- ing and topic model.Computational intelligence and neuroscience, 2022(1):8884669, 2022.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Cross-domain traffic scene understanding by integrating deep learn- ing and topic model.Computational intelligence and neuroscience, 2022(1):8884669, 2022

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:07.122935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:05.063725Z digest=sha256:80583b0874d98a269fd84d90688dc1110e361f2a7edec70a5ff5b043345cb82b

Observation 47053044-4ad4-4841-adfb-2c3c0814e4c1 · outbound

This paper cites World models for autonomous driving: An initial survey.IEEE Transactions on Intelligent Vehicles, 2024.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving World models for autonomous driving: An initial survey.IEEE Transactions on Intelligent Vehicles, 2024

Reference 28

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raw_fallback, observed 2026-08-06T16:45:07.105290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:05.229944Z digest=sha256:7d089f3be7d1a6232ae758affe61f17f86eb5e5dca912cdeb192e8ca6fbeb95e

Observation 34f9a795-c51a-45a9-8020-ace42ac7d2d4 · outbound

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

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 29

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no resolver link, observed 2026-08-06T16:45:05.420535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:05.420535Z digest=sha256:48883993de9e7e0ba30b33a1f6b10969af310c537ec3438db0dc94fb05e22186

Observation 78502dd1-739f-46c8-ae10-8f26628bc66d · outbound

This paper cites Driving into the future: Multiview visual fore- casting and planning with world model for autonomous driving.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Driving into the future: Multiview visual fore- casting and planning with world model for autonomous driving

Reference 30

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raw_fallback, observed 2026-08-06T16:45:07.083181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:05.580335Z digest=sha256:d60145dbe5a7845e4aa1b1a24e9527ed9c1c58ffca4b6cca5bbac8660454fcaf

Observation cb935754-98bb-4210-af1e-dce71b325508 · outbound

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

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 31

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no resolver link, observed 2026-08-06T16:45:05.769443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:05.769443Z digest=sha256:0c62b438e95c4806fb42e676bfcd2449d46e60838df9a1d526764d2f3010a1ac

Observation 83fb52bd-b8c9-4764-adad-922f06a9abcb · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 32

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no resolver link, observed 2026-08-06T16:45:05.944449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:05.944449Z digest=sha256:a08d776bbeb62abd118e5c230393023e17c4bfc1a49013a7da44e8ccb5e659fb

Observation 5dce0c73-439b-4a66-9d31-69e362b70445 · outbound

This paper cites DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Reference 33

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source=pdf_text observed=2026-08-06T16:45:06.101252Z digest=sha256:65f9a87e667e8aa87649240a9ccad1598a2e6d87332900a45161070cbc52217b

Observation f254a01f-a9d8-4430-bd22-f34e135e9dd3 · outbound

This paper cites Recurrentworldmodelsfacilitate policyevolution.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Recurrentworldmodelsfacilitate policyevolution

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:07.061495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.118211Z digest=sha256:4b13bc15419606ea952be256f9ede8cdf212c896130011927f16f5fdaf43bb1f

Observation 0a439c4f-0eb5-40cd-b1a9-591d9997b720 · outbound

This paper cites Mastering Atari with Discrete World Models.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Mastering Atari with Discrete World Models

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:06.129037Z digest=sha256:11d9f7f97ce5d3be1b59cd08e03344791c5ef4fdbfed0d031db570c0b533e821

Observation 916b8675-d1e5-4ab7-89e7-9915a5bfeaec · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 36

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no resolver link, observed 2026-08-06T16:45:06.134462Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:45:06.134462Z digest=sha256:549c4071ced5874fd1ed205bc25573a984e762d76723363475f3daff6e615cda

Observation a4592372-be5d-4b25-96b5-1382302a2ab4 · outbound

This paper cites Openstreetmap: User- generatedstreetmaps.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Openstreetmap: User- generatedstreetmaps

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:07.044507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.140035Z digest=sha256:2b8b6005b51788c7b4bd9cd87adb6abcdb638a76c42fcb3275336d40e87c8d6d

Observation 3ccbdf2d-0154-4462-bb2d-7dc09d945992 · outbound

This paper cites Recent development and applications of sumo-simulation of urban mobility.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Recent development and applications of sumo-simulation of urban mobility

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-06T16:45:07.023593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.144904Z digest=sha256:1e50d8b97de2a0bd536fcbd99c5d532beb61ac04a35bdf1f13fdb82f935ea493

Observation bb60698c-619d-4876-9a02-d982ed4fa9df · outbound

This paper cites Planning-oriented autonomous driving.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Planning-oriented autonomous driving

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:07.001727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.151611Z digest=sha256:de8b2afc1487e4b7d5b5a9005c8c8ad9d9ec9942c6ee65206cb3c0526b182bcd

Observation 9fe8f151-b643-45cc-8878-190e5f2e7440 · outbound

This paper cites nuscenes: A multimodal dataset for autonomousdriving.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving nuscenes: A multimodal dataset for autonomousdriving

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.975409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.157540Z digest=sha256:692b5b3b7f714fbb632600cd553e9f0772061835b02c05e7426f746367c0388f

Observation f955ef42-576d-48e6-a867-2d9c27fc32d2 · outbound

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

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.943371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.162433Z digest=sha256:d7c5df8bcf0cc50b9be2d0e6ae53068be5080c54939cbace46436263e77eda5f

Observation 5a0906ad-ae6e-45c4-98de-e213bc1142c3 · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 42

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no resolver link, observed 2026-08-06T16:45:06.168043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:06.168043Z digest=sha256:fb1febe573546f852a38a10e5606547b86ed6de30e287c1b89225eb0892f694a

Observation 9c295ebb-757a-4210-8e5c-4102c0ed4139 · outbound

This paper cites Fvd: A new metric for video generation.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Fvd: A new metric for video generation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.923016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.173825Z digest=sha256:6e2ae97ef7dac5e50a2ecfb56377443ec6999a1838c465522c162fb6783f4f68

Observation 8cdc0715-ff9d-4dc5-9e1b-732ec334c070 · outbound

This paper cites Frechetinceptiondistance(fid) for evaluating gans.China University of Mining Technology Beijing Graduate School, 3(11), 2021.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Frechetinceptiondistance(fid) for evaluating gans.China University of Mining Technology Beijing Graduate School, 3(11), 2021

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.893289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.179014Z digest=sha256:54c4536f1634fc1b6a649d3ca2ca2ed608292dd74be0b5a0c96233b8fe2e9bbf

Observation 29769738-58bc-49ef-8cac-17a2ec0cc649 · outbound

This paper cites NMS Strikes Back.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving NMS Strikes Back

Reference 45

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no resolver link, observed 2026-08-06T16:45:06.183922Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:45:06.183922Z digest=sha256:20971064a20e06b1d8c0be27dc7d12ccc9028cab526b955650c28157a4a53cbc

Observation 808eef8b-efcb-47fb-b066-acab1729db91 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 46

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no resolver link, observed 2026-08-06T16:45:06.188820Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:45:06.188820Z digest=sha256:b36d4bc3b51f5e58cc07a30c6db75a5efc90b9c25deea7f814e9aa48e4be0dfd

Observation 5e1313e8-5a9e-44bb-822c-8515d501145d · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 47

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no resolver link, observed 2026-08-06T16:45:06.194055Z

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source=pdf_text observed=2026-08-06T16:45:06.194055Z digest=sha256:8cefda3a510868e63937c952f9851400fb44a9b7fc033f3c84c1845a848c8383

Observation 3bbaf938-8b7a-4b30-9754-0a23b55bd41e · outbound

This paper cites InProceedings of the IEEE conference on computer vision and pattern recognition, pages 3061–3070, 2015.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving InProceedings of the IEEE conference on computer vision and pattern recognition, pages 3061–3070, 2015

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.872247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.199471Z digest=sha256:09ffc8690cdccbd5f6675d215a9e6736d6b4dc41f79925620f2ca4905a413f45

Observation e8b99a8d-edd5-4674-aab3-29f51b4b7385 · outbound

This paper cites Long short-term memory.Neural Computation MIT- Press, 1997.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Long short-term memory.Neural Computation MIT- Press, 1997

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.849649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.205519Z digest=sha256:7b7904191f190ac7f341379dafdf6d22557c496a48f31a86d786657d94229aad

Observation e0c72947-23c9-40e8-b39f-9f0fd12be8d2 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 50

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no resolver link, observed 2026-08-06T16:45:06.210131Z

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source=pdf_text observed=2026-08-06T16:45:06.210131Z digest=sha256:a7f0b9a44bb06302eba8bb178af1880ec921b8fcfb05123a4315bd01df69be19

Observation 16b08676-5239-48cf-aad2-3eaa7fdbda5f · outbound

This paper cites Temporal convolutional networks for action segmen- tation and detection.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Temporal convolutional networks for action segmen- tation and detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.826306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.214884Z digest=sha256:6f5a1b9ec7c0238bf583c904e3e6bc63f6c526064a85f7cd7fa7d6d4a721424a

Observation 8355cdaa-e90c-4651-b367-ae035c133ffe · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Multi-Scale Context Aggregation by Dilated Convolutions

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:45:06.219714Z digest=sha256:19e048a50863c39ea26138645b283711e7ba4447151fc40df4036e92beb4e537

Observation a08b9b57-0e0d-4940-86b5-e3ad952d79df · outbound

This paper cites IEEEtransactionsonpatternanalysisandmachine intelligence, 45(1):444–459, 2022.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving IEEEtransactionsonpatternanalysisandmachine intelligence, 45(1):444–459, 2022

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.801757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.225821Z digest=sha256:954432b2b7af6caa5306ed3722ba05572e8b9da5ebd31c3d69c7db81d1202729

Observation 38917848-a6b1-48e6-9f02-70f082ce9ef5 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 54

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no resolver link, observed 2026-08-06T16:45:06.230694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:06.230694Z digest=sha256:7fda5a0aba57dcadc15fad397bbcad8d6a99a1d2abaa3096c9ab6f8c4b4ac8a0

Observation 9b6ede26-8a2f-4f9a-9c97-d539306b3cc1 · outbound

This paper cites Uncertainty-basedtrafficaccident anticipation with spatio-temporal relational learning.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Uncertainty-basedtrafficaccident anticipation with spatio-temporal relational learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.759278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.236771Z digest=sha256:9433747b71bb2a68ceacf6896f6d1cda3c8a8d5aa58e96a54c44e62f3046ee39

Observation 7ed96e37-7c0f-43c2-ae9e-6ad0442be7f8 · outbound

This paper cites A review onthelongshort-termmemorymodel.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving A review onthelongshort-termmemorymodel

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.732504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.241963Z digest=sha256:aef1673fa2e16ba4b6dee96a24141f14df97f71550e2661c89db02bb359d9c0b

Observation c65184e7-79a3-4378-8369-f4f4c1fdbf4e · outbound

This paper cites At- tention is all you need.Advances in neural information processing systems, 30, 2017.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving At- tention is all you need.Advances in neural information processing systems, 30, 2017

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T16:45:06.247296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:06.247296Z digest=sha256:eb06507addca3d784e25536abe4b284876034d07ddf084e808c833e645095ede

Observation 1da858b1-965f-444c-b518-8fdc2e66a16e · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 58

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unresolved
no resolver link, observed 2026-08-06T16:45:06.252312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:45:06.252312Z digest=sha256:308037bdbc7885699be40764c45456f81484ce04f5459bb032da6d5b5d498e77

Observation 368ba664-8337-48f4-8dc6-851fbab27e42 · outbound

This paper cites In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3521–3529, 2018.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3521–3529, 2018

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:45:06.688782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.257085Z digest=sha256:77c022e7ff53967d2ee8d2bdf5c64717621288f964c317dc4deabac841420f22

Observation 3464c829-afbd-43d9-ae8e-aa28437565a5 · outbound

This paper cites A multi- modal architecture with spatio-temporal-text adaptation for video- basedtrafficaccidentanticipation.

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving A multi- modal architecture with spatio-temporal-text adaptation for video- basedtrafficaccidentanticipation

Reference 60

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malformed identifier
raw_fallback, observed 2026-08-06T16:45:06.662684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:45:06.262282Z digest=sha256:ddaf8ce8e50a2574dac7a22639902a8c16051d5e345ff873b7c29a47fcbf5761

Pith citing papers

No inbound Pith citation observations are available.