Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:47:25.524260Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2411.17886.
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 2026-08-12T11:47:25.524260Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:27.825638Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:30:19.566586Z
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 063201c3-3644-4932-8e47-a7faefad5140 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features GPT-4 Technical Report
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 212614d8-fc73-4331-a8c2-f21a80d5581b · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features What characterizes” situations” in situation awareness? findings from a human- centered investigation
Reference 2
Source-reported events for the cited work
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Observation 3afcd5d2-b352-4896-ab55-094c01187e47 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features The cityscapes dataset for semantic urban scene understanding
Reference 3
Source-reported events for the cited work
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Observation 6a8a9fbf-fd32-4b06-8455-dc71f4912d2b · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Drivellm: Charting the path toward full au- tonomous driving with large language models
Reference 4
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Observation 34d1169d-a2ae-46e3-9b42-2d9566f85478 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Mit-avt clustered driving scene dataset: Evaluating perception systems in real-world natu- ralistic driving scenarios
Reference 5
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Observation b660a877-e839-4b6b-b2ef-7b3ee00dafa1 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Mit ad- vanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automa- tion
Reference 6
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Observation bad740c5-c812-4e36-8931-2a8794a70da3 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Environmental factors affecting the frequency of road traffic accidents: a case study of sub-urban area of pakistan
Reference 7
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Observation 6bd94cd6-cea0-4851-b678-d9ba1ae35083 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features The effect of traffic on situation aware- ness and mental workload: Simulator-based study
Reference 8
Source-reported events for the cited work
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Observation b1c304ac-9ff2-46f2-83b7-47b6cd8bbe09 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network
Reference 9
Source-reported events for the cited work
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Observation 8515ff78-8a8d-49dc-9e0d-697646c7466c · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Oneformer: One transformer to rule universal image segmentation
Reference 10
Source-reported events for the cited work
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Observation b04d2b39-6665-42e2-a75e-58217981a455 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Effects of hazard exposure and roadway com- plexity on young and older driver situation awareness and performance
Reference 11
Source-reported events for the cited work
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Observation bb426992-a593-4849-973e-a3329c2ce789 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention
Reference 12
Source-reported events for the cited work
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Observation 30eac131-dbc6-42eb-ac2b-d96fbb4186f2 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Evaluating the nature of distractive driving factors towards road traffic accident
Reference 13
Source-reported events for the cited work
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Observation f8e5c6f1-d422-4f56-99f6-5f79a9abb5be · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Panoptic segmentation
Reference 14
Source-reported events for the cited work
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Observation d87da1da-7d39-4253-9ab7-4a462baeb7a3 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Lundberg, Gabriel Erion, Hugh Chen, Alex De- Grave, Jordan M
Reference 15
Source-reported events for the cited work
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Observation cd88b2c0-25ce-4cc2-85a4-eff63b44572a · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Note on the sampling error of the differ- ence between correlated proportions or percentages
Reference 16
Source-reported events for the cited work
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Observation 0a9b7a7c-9303-4b33-8d49-557776e87cf5 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Urban street structure and traffic safety.Journal of safety research, 62:63–71, 2017
Reference 17
Source-reported events for the cited work
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Observation d90371a5-53e7-49d6-96e1-4f49532f8ae0 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Most: Multi-modality scene to- kenization for motion prediction
Reference 18
Source-reported events for the cited work
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Observation b9e3cfd8-b7e5-4602-b68f-099bcb6d0fe1 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Impact of road infrastructure land use and traffic operational characteristics on pedestrian fatality risk: A case study of kolkata, india
Reference 19
Source-reported events for the cited work
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Observation 21bdd024-9cca-429e-ba41-70ba47b8c502 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features The impact of environmental complexity on drivers’ situation awareness
Reference 20
Source-reported events for the cited work
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Observation f56199e8-684b-4e06-9795-43df71b2ae5a · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Modeling the accuracy of traffic crash prediction models
Reference 21
Source-reported events for the cited work
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Observation b30381f3-d854-46a8-9caa-39a26344fa48 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Critical reasons for crashes investigated in the national motor vehicle crash causation survey
Reference 22
Source-reported events for the cited work
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Observation 5983325a-28a4-4fca-8e6e-af350c1b73c5 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
Reference 23
Source-reported events for the cited work
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Observation 56696c0a-2ee8-449f-838d-b747c5c3bf5b · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features The effect of traffic and road characteristics on road safety: A review and future research direction
Reference 24
Source-reported events for the cited work
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Observation bb7250af-3c18-40cb-a51d-993dcc0a351e · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Identifying crash- prone traffic conditions under different weather on freeways
Reference 25
Source-reported events for the cited work
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Observation 5b53679d-cb95-43b9-9f3f-772d977afdae · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Associ- ation rule analysis of factors contributing to extraordinarily severe traffic crashes in china.Journal of safety research, 67: 65–75, 2018
Reference 26
Source-reported events for the cited work
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Observation af1f00a0-0ab9-44b9-bc6e-4d5c8b1aefb2 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Takeover context matters: Characterising context of takeovers in naturalistic driving using super cruise and au- topilot
Reference 27
Source-reported events for the cited work
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Observation 464c8fa0-d91b-4a50-a26b-535d2d4df684 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
Reference 28
Source-reported events for the cited work
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Observation 085b8472-1a69-4b1c-80d7-6e4c36c435e5 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Improving driver situation awareness pre- diction using human visual sensory and memory mechanism
Reference 29
Source-reported events for the cited work
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Observation 98540ba5-24eb-47b5-98d4-6aae8d7a95e2 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features 3.2.3 and Sec
Reference 30
Source-reported events for the cited work
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Observation 4d550999-37db-4eeb-b8a6-10fe24826be2 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation 70888308-f31b-4332-92ea-b89a11c25ef4 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features 3.4.2 is shown in Fig
Reference 32
Source-reported events for the cited work
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Observation 8123e2bd-bdbf-447f-a1a3-3aac102d4a89 · outbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Encoder Training Details Regarding the training configurations of the encoders men- tioned in Sec
Reference 33
Source-reported events for the cited work
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Observation 16568c93-a05a-49a2-bd3b-4c16fbee2bf2 · inbound
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features
Reference 57
Source-reported events for the cited work
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