Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:06.262282Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:06.262282Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0dc62768-4ef5-4800-b94e-af6e5260c3ce · outbound
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
Source-reported events for the cited work
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Observation 3d1eeb15-90f6-407c-85fb-debee6240846 · outbound
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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Observation 896af7dd-ae95-4cb5-bf35-a2e9012b4166 · outbound
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
Source-reported events for the cited work
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Observation 126a94e9-064d-4c78-9766-29c080c8931e · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Dynamicattentionaugmentedgraphnetworkforvideoaccident anticipation
Reference 4
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.
Observation 8efadc60-2229-4535-86e9-abaaf9b41270 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Antic- ipating accidents in dashcam videos
Reference 5
Source-reported events for the cited work
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Observation 6bd849fe-3af0-4e16-9ac6-92b4e36df42f · outbound
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
Source-reported events for the cited work
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Observation d5103560-4c84-4582-bfea-716eb560064f · outbound
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
Source-reported events for the cited work
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Observation 76ffa486-5768-4706-a7e5-06eda4ce4346 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Global feature aggregation for accident anticipation
Reference 8
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.
Observation efd22c88-d6e3-4339-8597-68ccf2056034 · outbound
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
Source-reported events for the cited work
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Observation 269ba8a9-5e97-4984-9856-b8684123daf8 · outbound
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
Source-reported events for the cited work
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Observation 5464e5d1-cc6e-44e7-8d9d-78cbcf091689 · outbound
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
Source-reported events for the cited work
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Observation e0f6e932-4c18-40b8-8cee-f146f503e7ce · outbound
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
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.
Observation c17d8cbc-8fba-4035-9a46-b4766b24c6e0 · outbound
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
Source-reported events for the cited work
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Observation b5d9f9f7-1de7-4eec-8b8f-fe6b0ba4359a · outbound
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
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.
Observation aa7fcaf6-85cb-47a5-859f-10f785c893f1 · outbound
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
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.
Observation 3555c7c5-fc81-4d7a-b819-eadc97cc8dad · outbound
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
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.
Observation b5addd15-aab3-4bf5-befa-7cc2043c0e93 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18004550-c867-424e-bcb4-71fafbb5d985 · outbound
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
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.
Observation 3c57e919-6f75-467a-b120-8ca8e891d11a · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Real-time automatic traffic accident recognition using hfg
Reference 19
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.
Observation 577bdb2a-8951-48e8-8f89-70ebc0b20490 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Unsupervisedtrafficaccidentdetectioninfirst-personvideos
Reference 20
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.
Observation a25b94ba-87cc-4938-a6f0-cd652deae5f7 · outbound
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
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.
Observation c6984d43-5320-4e9a-b737-af75c23bdd9e · outbound
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
Source-reported events for the cited work
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Observation f68bd6a6-c0b7-4645-a2da-bc5ffe0fff4e · outbound
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
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.
Observation 1cd6484d-d2ef-48f8-a2ae-3c6fa853b44c · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Learning transferable visual mod- elsfromnaturallanguagesupervision
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c06af918-e24e-4f23-abe6-0c484e334f18 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Sun database: Large-scale scene recognition from abbeytozoo
Reference 25
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.
Observation bc243f94-0646-4352-a831-4e1dd006cccc · outbound
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
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.
Observation d44f8ec8-5efb-433c-bc26-579991118fc9 · outbound
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
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.
Observation 47053044-4ad4-4841-adfb-2c3c0814e4c1 · outbound
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
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.
Observation 34f9a795-c51a-45a9-8020-ace42ac7d2d4 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78502dd1-739f-46c8-ae10-8f26628bc66d · outbound
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
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.
Observation cb935754-98bb-4210-af1e-dce71b325508 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83fb52bd-b8c9-4764-adad-922f06a9abcb · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dce0c73-439b-4a66-9d31-69e362b70445 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f254a01f-a9d8-4430-bd22-f34e135e9dd3 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Recurrentworldmodelsfacilitate policyevolution
Reference 34
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.
Observation 0a439c4f-0eb5-40cd-b1a9-591d9997b720 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Mastering Atari with Discrete World Models
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 916b8675-d1e5-4ab7-89e7-9915a5bfeaec · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4592372-be5d-4b25-96b5-1382302a2ab4 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Openstreetmap: User- generatedstreetmaps
Reference 37
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.
Observation 3ccbdf2d-0154-4462-bb2d-7dc09d945992 · outbound
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
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.
Observation bb60698c-619d-4876-9a02-d982ed4fa9df · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Planning-oriented autonomous driving
Reference 39
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.
Observation 9fe8f151-b643-45cc-8878-190e5f2e7440 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving nuscenes: A multimodal dataset for autonomousdriving
Reference 40
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.
Observation f955ef42-576d-48e6-a867-2d9c27fc32d2 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving High-resolution image synthesis with latent diffusion models
Reference 41
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.
Observation 5a0906ad-ae6e-45c4-98de-e213bc1142c3 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c295ebb-757a-4210-8e5c-4102c0ed4139 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Fvd: A new metric for video generation
Reference 43
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.
Observation 8cdc0715-ff9d-4dc5-9e1b-732ec334c070 · outbound
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
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.
Observation 29769738-58bc-49ef-8cac-17a2ec0cc649 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving NMS Strikes Back
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 808eef8b-efcb-47fb-b066-acab1729db91 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e1313e8-5a9e-44bb-822c-8515d501145d · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bbaf938-8b7a-4b30-9754-0a23b55bd41e · outbound
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
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.
Observation e8b99a8d-edd5-4674-aab3-29f51b4b7385 · outbound
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
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.
Observation e0c72947-23c9-40e8-b39f-9f0fd12be8d2 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16b08676-5239-48cf-aad2-3eaa7fdbda5f · outbound
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
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.
Observation 8355cdaa-e90c-4651-b367-ae035c133ffe · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Multi-Scale Context Aggregation by Dilated Convolutions
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a08b9b57-0e0d-4940-86b5-e3ad952d79df · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving IEEEtransactionsonpatternanalysisandmachine intelligence, 45(1):444–459, 2022
Reference 53
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.
Observation 38917848-a6b1-48e6-9f02-70f082ce9ef5 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b6ede26-8a2f-4f9a-9c97-d539306b3cc1 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving Uncertainty-basedtrafficaccident anticipation with spatio-temporal relational learning
Reference 55
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.
Observation 7ed96e37-7c0f-43c2-ae9e-6ad0442be7f8 · outbound
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving A review onthelongshort-termmemorymodel
Reference 56
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.
Observation c65184e7-79a3-4378-8369-f4f4c1fdbf4e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1da858b1-965f-444c-b518-8fdc2e66a16e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 368ba664-8337-48f4-8dc6-851fbab27e42 · outbound
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
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.
Observation 3464c829-afbd-43d9-ae8e-aa28437565a5 · outbound
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
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.
No inbound Pith citation observations are available.