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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 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.

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.408093Z digest=sha256:843670a31340702b515753e550d077b6922d4ae0e4981fb9b59e72b7601d53e7

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.426188Z digest=sha256:65f467f93ad66a0c92c221345c7a1931a053d5d1deb74d1f0b6cc7d9801805cc

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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
raw_fallback, observed 2026-08-12T11:47:25.863497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.444000Z digest=sha256:b8311be88a9f8e6792742813024522fffa58cf2dcc0faef96c50165df3708926

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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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
unresolved
no resolver link, observed 2026-08-12T11:47:25.456990Z

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.469737Z digest=sha256:17611f002ae2d1fe9bdcdc6f49842d6c0151effd5f7fc6029f4de27894877514

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:47:25.763731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.474222Z digest=sha256:78fecd207a59049992b30a9c56957cb8ff7bccdb5a24bcb21910bf909adf626b

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

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.479518Z digest=sha256:36ab98059323d8a245e82bf022b9d18de208fdda59e26198e40daa48011aac77

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.484438Z digest=sha256:93f7aab2c17f186b1a42f2e3c59d48f625b44fd8b31f70d46da01709e651de10

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.488637Z digest=sha256:14a1394ced95cd5c93cfb984776e682c93c230163e878e197a0e0032dd0fd45e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.492946Z digest=sha256:bac48f348c70a07fcb4e1e09699664dee71436bfb7c08cb249eeade57d96879b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.497444Z digest=sha256:e5bd1e08babd2899b5537bbee062b3e16b4937e48c572287d2fae1d6dd8ab6cc

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=sha256:1fe4ffac5279df9434ec84c6769b2de0f1dfec929266b40b7ae1c661a62b7689

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.506377Z digest=sha256:1c7e831ee90ca4d06912a23e5e88cdef2fbd4e889582c9f27e58902b900cfdc6

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.510725Z digest=sha256:e8e932b4d4c29bd7293ddc91a138ebf1e0e0129136b01983c84d1a1a447d5290

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.514953Z digest=sha256:3e108c3918ddc1939f2dca33e335b84cd50119cbbc1c8dc5c736955bcc1c6795

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.519828Z digest=sha256:3b670358f3e6b1c8d3294b51bda9696b608bbbdb5a86f942d36bca304c09a800

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:47:25.524260Z digest=sha256:c7ecf558a245746ce23065ae7350c9d9e52c6d242e08d97d4839bf95f1b5b246

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T13:28:27.825638Z digest=sha256:ccaf60aa9919cc3d933603d154883edcb6907b0df7e56d9134b2d823af9b3f9f