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Paper Citation Record · LEDGER

The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features

As of 21 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.

pith.paper-citation-record.v1
2411.17886 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:47:25.524260Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:27.825638Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:30:19.566586Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 063201c3-3644-4932-8e47-a7faefad5140 · outbound

This paper cites GPT-4 Technical Report.

The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-12T11:47:25.378910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 212614d8-fc73-4331-a8c2-f21a80d5581b · outbound

This paper cites What characterizes” situations” in situation awareness? findings from a human- centered investigation.

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3afcd5d2-b352-4896-ab55-094c01187e47 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6a8a9fbf-fd32-4b06-8455-dc71f4912d2b · outbound

This paper cites Drivellm: Charting the path toward full au- tonomous driving with large language models.

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 34d1169d-a2ae-46e3-9b42-2d9566f85478 · outbound

This paper cites Mit-avt clustered driving scene dataset: Evaluating perception systems in real-world natu- ralistic driving scenarios.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b660a877-e839-4b6b-b2ef-7b3ee00dafa1 · outbound

This paper cites Mit ad- vanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automa- tion.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bad740c5-c812-4e36-8931-2a8794a70da3 · outbound

This paper cites Environmental factors affecting the frequency of road traffic accidents: a case study of sub-urban area of pakistan.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6bd94cd6-cea0-4851-b678-d9ba1ae35083 · outbound

This paper cites The effect of traffic on situation aware- ness and mental workload: Simulator-based study.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b1c304ac-9ff2-46f2-83b7-47b6cd8bbe09 · outbound

This paper cites An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8515ff78-8a8d-49dc-9e0d-697646c7466c · outbound

This paper cites Oneformer: One transformer to rule universal image segmentation.

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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:47:25.421924Z digest=sha256:99689024935bcc3c56c16d8456b6d84d06cdbbb2018cafe33c4d15bf9c9500a8

Observation b04d2b39-6665-42e2-a75e-58217981a455 · outbound

This paper cites Effects of hazard exposure and roadway com- plexity on young and older driver situation awareness and performance.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.910761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bb426992-a593-4849-973e-a3329c2ce789 · outbound

This paper cites A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:47:25.430491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 30eac131-dbc6-42eb-ac2b-d96fbb4186f2 · outbound

This paper cites Evaluating the nature of distractive driving factors towards road traffic accident.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.894044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f8e5c6f1-d422-4f56-99f6-5f79a9abb5be · outbound

This paper cites Panoptic segmentation.

The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Panoptic segmentation

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d87da1da-7d39-4253-9ab7-4a462baeb7a3 · outbound

This paper cites Lundberg, Gabriel Erion, Hugh Chen, Alex De- Grave, Jordan M.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cd88b2c0-25ce-4cc2-85a4-eff63b44572a · outbound

This paper cites Note on the sampling error of the differ- ence between correlated proportions or percentages.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0a9b7a7c-9303-4b33-8d49-557776e87cf5 · outbound

This paper cites Urban street structure and traffic safety.Journal of safety research, 62:63–71, 2017.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d90371a5-53e7-49d6-96e1-4f49532f8ae0 · outbound

This paper cites Most: Multi-modality scene to- kenization for motion prediction.

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:47:25.456990Z digest=sha256:d3bb6510e1ccd379f8c7450dcf7e15c56414bccbcdce06fc2f8e4975d7137a31

Observation b9e3cfd8-b7e5-4602-b68f-099bcb6d0fe1 · outbound

This paper cites Impact of road infrastructure land use and traffic operational characteristics on pedestrian fatality risk: A case study of kolkata, india.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.807687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 21bdd024-9cca-429e-ba41-70ba47b8c502 · outbound

This paper cites The impact of environmental complexity on drivers’ situation awareness.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.793050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.465543Z digest=sha256:274960b6b470ca09802c3086fbfcf931a78e441050b4866c768d31a4fd7f07e7

Observation f56199e8-684b-4e06-9795-43df71b2ae5a · outbound

This paper cites Modeling the accuracy of traffic crash prediction models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.778349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.469737Z digest=sha256:2dd7b1268edb9798bcb33091e8a59a80f9e14b538ff7459d91d1f15e8b95e85c

Observation b30381f3-d854-46a8-9caa-39a26344fa48 · outbound

This paper cites Critical reasons for crashes investigated in the national motor vehicle crash causation survey.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.474222Z digest=sha256:53414260da47489d9a534f82abb297c0b7e9765724ed517a025129c6f6949053

Observation 5983325a-28a4-4fca-8e6e-af350c1b73c5 · outbound

This paper cites ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models.

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

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.479518Z digest=sha256:60d5b9980c73a652be946e12e7bf56a8dcdf5a3c4ce5998d2acbed720d8ae034

Observation 56696c0a-2ee8-449f-838d-b747c5c3bf5b · outbound

This paper cites The effect of traffic and road characteristics on road safety: A review and future research direction.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.749203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.484438Z digest=sha256:c8c864781b8485b513f468d1de231caf336c21a30f189a5610dd86fb7decd0dc

Observation bb7250af-3c18-40cb-a51d-993dcc0a351e · outbound

This paper cites Identifying crash- prone traffic conditions under different weather on freeways.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.733443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.488637Z digest=sha256:4f9624081733992258ced46a247ad2c2b4fed856c8026b7ec765baf5fc444a8c

Observation 5b53679d-cb95-43b9-9f3f-772d977afdae · outbound

This paper cites Associ- ation rule analysis of factors contributing to extraordinarily severe traffic crashes in china.Journal of safety research, 67: 65–75, 2018.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.718795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.492946Z digest=sha256:5d1ebfeb85f85ebb47392e06e44198d2588d725f9a0db5729b9247e34a9cf32b

Observation af1f00a0-0ab9-44b9-bc6e-4d5c8b1aefb2 · outbound

This paper cites Takeover context matters: Characterising context of takeovers in naturalistic driving using super cruise and au- topilot.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.702644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.497444Z digest=sha256:02b75d8c9bfcb40d9c71d15bc744549960518c75547ddf6b9e479eec53eba542

Observation 464c8fa0-d91b-4a50-a26b-535d2d4df684 · outbound

This paper cites HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:47:25.501726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:47:25.501726Z digest=sha256:10ff77cba2c6bfd072cca904e8f5dc7d90971794c930ecd38f8880609ea5d06b

Observation 085b8472-1a69-4b1c-80d7-6e4c36c435e5 · outbound

This paper cites Improving driver situation awareness pre- diction using human visual sensory and memory mechanism.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.687548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.506377Z digest=sha256:00aeb1df680149f4a5a8808733d9b7f779c9cacc7dab593d159b7e37a252762e

Observation 98540ba5-24eb-47b5-98d4-6aae8d7a95e2 · outbound

This paper cites 3.2.3 and Sec.

The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features 3.2.3 and Sec

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.672714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.510725Z digest=sha256:4ccfe308bb98e5550e514c8b9800ed728bf6d6ea40851556a4ff0c65ad08e9b9

Observation 4d550999-37db-4eeb-b8a6-10fe24826be2 · outbound

This paper cites an unresolved cited work.

The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-12T11:47:25.657657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 70888308-f31b-4332-92ea-b89a11c25ef4 · outbound

This paper cites 3.4.2 is shown in Fig.

The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features 3.4.2 is shown in Fig

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.643023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8123e2bd-bdbf-447f-a1a3-3aac102d4a89 · outbound

This paper cites Encoder Training Details Regarding the training configurations of the encoders men- tioned in Sec.

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T11:47:25.627987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T11:47:25.524260Z digest=sha256:51794e8a27119f92bf539498cdede824a65d1bb551745fcf0b4ada74aeb8d461

Pith citing papers

Observation 16568c93-a05a-49a2-bd3b-4c16fbee2bf2 · inbound

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:30:19.670993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T13:28:27.825638Z digest=sha256:6578f85ee23508c4412a8b9719f030b57c883b26873ec81936f5ba11d24e9744