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Paper Citation Record · LEDGER

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data

As of 21 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2505.06276.

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

pith.paper-citation-record.v1
2505.06276 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:50.194800Z

measured 71 of 71 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 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

71 of 71 outbound references displayed

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  • unresolved24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d949c482-3400-47d9-a891-0e9e2281763c · outbound

This paper cites Llama 3.2: Revolutionizing edge ai and vision with open, customizable models, 2024.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Llama 3.2: Revolutionizing edge ai and vision with open, customizable models, 2024

Reference 1

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

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Observation ecf25cd6-7f37-4cc1-b2a2-62fe2ffa3b23 · outbound

This paper cites Safety crit- ical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Safety crit- ical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

Reference 2

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Source-reported events for the cited work

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

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Observation 864a30cf-908d-4ad2-a372-c69a2b981bc3 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments

Reference 3

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Source-reported events for the cited work

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

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Observation 71495ab8-43c4-460a-a2c5-fca50db949e8 · outbound

This paper cites Uncertainty-based traffic accident anticipation with spatio-temporal relational learn- ing.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Uncertainty-based traffic accident anticipation with spatio-temporal relational learn- ing

Reference 4

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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 178f8818-c550-4df5-80fe-d290594c45bb · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data nuscenes: A multi- modal dataset for autonomous driving

Reference 5

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Source-reported events for the cited work

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Observation 15e3ed1a-4f97-4bd3-bdf0-941e66d6b829 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 6

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Source-reported events for the cited work

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

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Observation a2ae2ae5-348f-4bba-b9b1-c92b68df87d6 · outbound

This paper cites Anticipating accidents in dashcam videos.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Anticipating accidents in dashcam videos

Reference 7

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Source-reported events for the cited work

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

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Observation 87bfce65-9da2-47b6-8775-71a1d1272828 · outbound

This paper cites Comfyui: A powerful and modular stable diffusion gui and backend, 2025.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Comfyui: A powerful and modular stable diffusion gui and backend, 2025

Reference 8

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Source-reported events for the cited work

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

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Observation 19436c96-c9fa-4b64-b87c-f7e8176c884d · outbound

This paper cites Xtuner: A toolkit for efficiently fine-tuning llm.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Xtuner: A toolkit for efficiently fine-tuning llm

Reference 9

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Source-reported events for the cited work

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

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Observation bb576cfc-1c6e-4c6e-999f-175a9b9fe7a7 · outbound

This paper cites Diffusion models in vision: A survey.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Diffusion models in vision: A survey

Reference 10

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Source-reported events for the cited work

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

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Observation f530612a-ba3b-4b86-9a01-873243e38911 · outbound

This paper cites Comfyui ipadapter plus, 2025.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Comfyui ipadapter plus, 2025

Reference 11

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Source-reported events for the cited work

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

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Observation f5dbd335-aa86-4e27-b24c-0a3e4bcbdde1 · outbound

This paper cites KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:45:49.962773Z digest=sha256:b8904a2a85dd921ce4a9ad25e4312fa19605a5f9f58bcfed72aec45f1d59ca0a

Observation 8da711cb-08e8-4bc4-8fff-b18c0e07053f · outbound

This paper cites Paris-carla-3d: A real and synthetic outdoor point cloud dataset for challenging tasks in 3d mapping.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Paris-carla-3d: A real and synthetic outdoor point cloud dataset for challenging tasks in 3d mapping

Reference 13

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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=2026-08-15T23:45:49.968129Z digest=sha256:ced120bc22bd066c040befa1183f9b960e9dcf1732a49346c99a545f4c19a902

Observation 8f3a9d16-ceb4-4ee2-b6ba-78b03c13f195 · outbound

This paper cites Dingus, Feng Guo, Suzie Lee, Jonathan F.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Dingus, Feng Guo, Suzie Lee, Jonathan F

Reference 14

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raw_fallback, observed 2026-08-15T23:45:50.922459Z

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=2026-08-15T23:45:49.971979Z digest=sha256:350165861488f002a8c7a4fcccb4da00d45996f31920ac44a427e0dbedfc0402

Observation fd58fd7f-1f3f-4e51-9544-ad6348c26fd3 · outbound

This paper cites Carla: An open urban driv- ing simulator.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Carla: An open urban driv- ing simulator

Reference 15

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Observation 466ec1e7-222f-47f1-a06a-d11378385605 · outbound

This paper cites Comfyui-controlnet-aux, 2025.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Comfyui-controlnet-aux, 2025

Reference 16

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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=2026-08-15T23:45:49.979685Z digest=sha256:f811a20e57385913b9e85964e31390ff6a77ce0d8bb428255984ecc0a7a5bb23

Observation f910de5a-1a23-4066-ba78-4c99c6a08d8a · outbound

This paper cites SHRP2 Annual Report.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data SHRP2 Annual Report

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 8ad4dfd3-aac2-47fb-bb4e-16c55112fa2b · outbound

This paper cites Vision meets robotics: The kitti dataset.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Vision meets robotics: The kitti dataset

Reference 18

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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 24d7b6d7-040c-4f2b-b3f2-92f1b1c781ef · outbound

This paper cites Deep learning, 2016.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Deep learning, 2016

Reference 19

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Observation 6d288264-1c94-42cc-be50-eb1689702d46 · outbound

This paper cites A review of semantic segmentation using deep neural networks.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data A review of semantic segmentation using deep neural networks

Reference 20

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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 7dc6c4c4-68d9-42a0-8d86-6714884b0efd · outbound

This paper cites CARLA-Loc: Synthetic SLAM Dataset with Full-stack Sensor Setup in Challenging Weather and Dynamic Environments.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data CARLA-Loc: Synthetic SLAM Dataset with Full-stack Sensor Setup in Challenging Weather and Dynamic Environments

Reference 21

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Observation 1bc66dc5-d2db-493b-8d88-1af4eb945b0e · outbound

This paper cites Description of the shrp 2 naturalistic database and the crash, near-crash, and baseline data sets.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Description of the shrp 2 naturalistic database and the crash, near-crash, and baseline data sets

Reference 22

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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 e7f3ef24-6176-4bb9-82db-ea22ba3969ea · outbound

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

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data GAIA-1: A Generative World Model for Autonomous Driving

Reference 23

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source=pdf_text observed=2026-08-15T23:45:50.012684Z digest=sha256:145756deb15af4e99f5d01f0160b616edac4c35dd5605cf3e2288d9a3f775498

Observation dd9edc11-ac8f-459d-bf5f-0bfdb17f05c2 · outbound

This paper cites Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 2132824d-0dd4-497f-ad1d-9f4816e365bc · outbound

This paper cites Real-archvis-xl-xlv10-sdxl, 2025.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Real-archvis-xl-xlv10-sdxl, 2025

Reference 25

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raw_fallback, observed 2026-08-15T23:45:50.815608Z

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=2026-08-15T23:45:50.021027Z digest=sha256:884be2474ab3c309117544024e5a2065bd98e6c29b0e4a8e9e6e22db17a37503

Observation 4eb0a561-ec66-43cb-aefc-9f4f11fca744 · outbound

This paper cites Anatomically-controllable medical image gen- eration with segmentation-guided diffusion models.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Anatomically-controllable medical image gen- eration with segmentation-guided diffusion models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.024839Z digest=sha256:3c085c3fb768008259320e0f8987fda6ca737156a554a5fb1be7e317fc5d7e24

Observation 8c50fd0f-3029-44c0-b9a0-5f6e4a8d794c · outbound

This paper cites Sinddm: A single image denoising diffusion model.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Sinddm: A single image denoising diffusion model

Reference 27

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raw_fallback, observed 2026-08-15T23:45:50.795011Z

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=2026-08-15T23:45:50.028665Z digest=sha256:0cf83d6a8206c3773afe9d1ecf97d52861da31d37f21831df6a9e3be7f51402b

Observation c62f96c6-72a2-4014-b8e6-11ac6493d405 · outbound

This paper cites Attention r-cnn for accident detection.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Attention r-cnn for accident detection

Reference 28

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no resolver link, observed 2026-08-15T23:45:50.032624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.032624Z digest=sha256:dc73567d050bbdd4145ee328d1e922539bc091dadf14342c88ac7d6aad6f95b9

Observation bed23d9c-6ebb-4297-84b4-37b832fbe40a · outbound

This paper cites Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.036438Z digest=sha256:7c96a5594d517f3f89488a99a38a7b0415ff8ce041bc9d0ab498dd57a86ba112

Observation a1980d73-14ce-4d45-ab87-f4deb8f1c5c6 · outbound

This paper cites Stabilizing diffusion model for robotic control with dynamic programming and transition feasibility.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Stabilizing diffusion model for robotic control with dynamic programming and transition feasibility

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.773971Z

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=2026-08-15T23:45:50.040792Z digest=sha256:8795a276bd65c074b5d64877544534af594b81ae8e766266ab746d83af4a4aeb

Observation 3b86f90d-8b91-4d25-8553-5f8c96a9d68b · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Rouge: A package for automatic evaluation of summaries

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.044617Z digest=sha256:a77c9c7d11ab551c0937c8816208e382b7794d9a90efe72f7ddc01068fb4fd58

Observation 4c1ccf48-4145-4716-bacd-093c0a0cde55 · outbound

This paper cites Diff- bir: Toward blind image restoration with generative diffusion prior.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Diff- bir: Toward blind image restoration with generative diffusion prior

Reference 32

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raw_fallback, observed 2026-08-15T23:45:50.753078Z

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=2026-08-15T23:45:50.048413Z digest=sha256:7eb9f57fbdc9c30b7c2db27887460f17ca6b56b20ea0608aae5da9ff9629ef32

Observation 9ef120cd-cd15-4223-ae30-efd053f86df2 · outbound

This paper cites Visual instruction tuning.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Visual instruction tuning

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.052156Z digest=sha256:55694f21a0aa6fb37bb65dd24e6674e40087ea5179e93c0b1e8c7ba1173fe5c4

Observation badeaa4f-fdb6-4928-b5a7-a07c81da177e · outbound

This paper cites Diffusion models, image super-resolution, and everything: A survey.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Diffusion models, image super-resolution, and everything: A survey

Reference 34

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raw_fallback, observed 2026-08-15T23:45:50.732119Z

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=2026-08-15T23:45:50.057123Z digest=sha256:39f8ff129a71fba4e753218486b4f9a60717c20c4f9d6f9a24defe3421ce855b

Observation c3ce1260-10f9-4a9a-a6d9-f05eea3d2222 · outbound

This paper cites Prediction of near-crashes from observed vehicle kinematics using machine learning.Transportation Research Record, 2673(12):463–473, 2019.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Prediction of near-crashes from observed vehicle kinematics using machine learning.Transportation Research Record, 2673(12):463–473, 2019

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.719436Z

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=2026-08-15T23:45:50.061021Z digest=sha256:9cb1b8acb2c49924d9a4d633258225c0cc64d939ce80f47c67af2c49ab80a7e1

Observation 0b7abcb3-75a9-4676-a578-39947cecc3d8 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Bleu: a method for automatic evaluation of machine translation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.065053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.065053Z digest=sha256:ad56c0b6c42808cb302c7a8cd959960ec6d869ea248495903bf84ee882a01363

Observation a6b51995-f77c-4f1c-be1b-e1a5ca8a50bb · outbound

This paper cites Driving maneuver early detection via sequence learning from vehicle signals and video images.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Driving maneuver early detection via sequence learning from vehicle signals and video images

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.698662Z

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=2026-08-15T23:45:50.069003Z digest=sha256:aad8d6b1e70c73733c419f77319ae475108b4afdd06b5a9343163d5d8de068bf

Observation b9cd05ab-c9d6-4459-a341-5f6433152cac · outbound

This paper cites Transportation safety meets big data: the shrp 2 naturalistic driving database.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Transportation safety meets big data: the shrp 2 naturalistic driving database

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.685686Z

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=2026-08-15T23:45:50.072463Z digest=sha256:7e539eb9b4569500fb74e9958071e05dfc94620e59935a403df6c1cdeab46dd4

Observation 16e0a547-75b2-42f0-970f-49c37b223442 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 39

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unresolved
no resolver link, observed 2026-08-15T23:45:50.076220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.076220Z digest=sha256:28739c62798454e9de6b312c0d963da4d43ea037e645a277897374ae8dfbf65d

Observation 379b2245-683c-4c82-9b9f-a8b7e8031b48 · outbound

This paper cites Car crash detection in videos.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Car crash detection in videos

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.672818Z

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=2026-08-15T23:45:50.079985Z digest=sha256:75a4331ef798435ca7e727ddbf32f1931732d8e76675f7725c0f256a193ad0f1

Observation 9186f94f-209f-4e58-8752-dc5e5435d101 · outbound

This paper cites an unresolved cited work.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:45:50.659750Z

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=2026-08-15T23:45:50.083656Z digest=sha256:723f4b79ca7c788b3747cb607655f6d8c7fd0baeb418b0781ecdffc1c9b5839c

Observation 6368f7fa-9365-4a0f-b80d-ede1c1e2dff3 · outbound

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

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data High-resolution image synthesis with latent diffusion models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.087522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.087522Z digest=sha256:062df36b7615c0997d40220d2bead58efe38cb1c823db6b5b61608938e417a81

Observation 7367e90e-9c3a-4a0b-9202-8c8f1b4f1bd2 · outbound

This paper cites An improved canny edge detection algorithm.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data An improved canny edge detection algorithm

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.638929Z

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=2026-08-15T23:45:50.091236Z digest=sha256:15995e7322d581fa4b7c51a94984d1563e076d3fbf6b8ec7025ee9399102803b

Observation 0033ffe8-5275-42d4-83ec-aa9307642d84 · outbound

This paper cites Benchmarks for retrospective automated driving system crash rate analysis using police-reported crash data.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Benchmarks for retrospective automated driving system crash rate analysis using police-reported crash data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.620767Z

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=2026-08-15T23:45:50.095320Z digest=sha256:471696bf0d33206e6341079e50c13cc253ded8260a5cd2404babed7369984be4

Observation 13a2674f-5fdf-4ccf-ab18-c10d508e11de · outbound

This paper cites Difftalk: Crafting diffusion models for generalized audio-driven portraits animation.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Difftalk: Crafting diffusion models for generalized audio-driven portraits animation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.099110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.099110Z digest=sha256:6892393561f448be90a83c6d0f7380e7f2406aca0c417606181f5a5a6e37f124

Observation e5d9a5c2-e09a-4920-b769-6d4824a92a3e · outbound

This paper cites Real-time driving risk assessment using deep learning with xgboost.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Real-time driving risk assessment using deep learning with xgboost

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.598622Z

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=2026-08-15T23:45:50.102892Z digest=sha256:ef20be554bcf5f94d8b9be31337f7866a9aee94adf0ad579b432c399d255b25d

Observation 2990cacb-5dc0-4953-9af1-33fd4d8e69fd · outbound

This paper cites Dust: Dual swin transformer for multi-modal video and time-series modeling.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Dust: Dual swin transformer for multi-modal video and time-series modeling

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.585230Z

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=2026-08-15T23:45:50.106795Z digest=sha256:de474b803e1db9b5a4039f1769d8972f4940721e091e76bbe8b9073cca6af40a

Observation 81c33d9d-05c7-49aa-a7a3-57663dd03f5c · outbound

This paper cites Scvlm: Enhancing vision-language model for safety-critical event understanding.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Scvlm: Enhancing vision-language model for safety-critical event understanding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.572705Z

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=2026-08-15T23:45:50.110567Z digest=sha256:3046833a9f114bfbdd3e025662664000de65f53901600daefae422c5ace97811

Observation 0b0041b7-9a9c-4ef4-b542-9ed8abba10b7 · outbound

This paper cites Unsafe maneuver classification from dashcam video and gps/imu sensors using spatio-temporal attention selector.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Unsafe maneuver classification from dashcam video and gps/imu sensors using spatio-temporal attention selector

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.559644Z

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=2026-08-15T23:45:50.114242Z digest=sha256:6c6da95eb8cddfe421534363eb93c2d8f763ed99c9ce2d7d5a15506db57efaba

Observation 159c05d2-0956-4d34-b686-32e83ee931ec · outbound

This paper cites Diffusion-based sound synthe- sis in music production.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Diffusion-based sound synthe- sis in music production

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.546857Z

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=2026-08-15T23:45:50.118141Z digest=sha256:fe208979451f8dd19bebe082a12cb21330454331430c91b8758d7fc0f4110a18

Observation 6f803b0d-58ed-4c8f-a2f2-06150e55c139 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Scalability in perception for autonomous driving: Waymo open dataset

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.122004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.122004Z digest=sha256:54c8ba7d4efeaf9315f71c9febc915dce53f7601f427a067c099492b051eaf20

Observation bd925071-2952-41e0-8b05-5f3468e73e08 · outbound

This paper cites Classification of crash and near-crash events from dashcam videos and telematics.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Classification of crash and near-crash events from dashcam videos and telematics

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.525520Z

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=2026-08-15T23:45:50.125818Z digest=sha256:21e2417467709a42aac77327c38508775d57e7e736949cb6dba914f090e887b8

Observation bfa608a3-300b-4a4a-b8bd-fac5667489d5 · outbound

This paper cites Moondream2, 2024.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Moondream2, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.512139Z

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=2026-08-15T23:45:50.129660Z digest=sha256:84bbb156d3868b2254943551a4752874acda08d24088a8011d53509dec705084

Observation 4adeaca2-8767-48a8-bda3-97b3f4017469 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Exploiting diffusion prior for real-world image super-resolution

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.498156Z

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=2026-08-15T23:45:50.133698Z digest=sha256:6f353d1d6072e7837ec4329a4c1595e35ec6c157eceb01e06f14b47271c5a2e6

Observation 0a253ce7-2419-49cf-b67c-d9445ada1610 · outbound

This paper cites Motionsc: Data set and network for real- time semantic mapping in dynamic environments.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Motionsc: Data set and network for real- time semantic mapping in dynamic environments

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.484698Z

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=2026-08-15T23:45:50.137297Z digest=sha256:7dc213f044973babb78fbd518a51e6fb3924cf3026b6acb29c04b7519a389091

Observation 1eef7f7e-3231-4e68-931e-e7d6fad4e21f · outbound

This paper cites Using telematics data to find risky driver be- haviour.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Using telematics data to find risky driver be- haviour

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.472260Z

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=2026-08-15T23:45:50.141324Z digest=sha256:c80ff01175761e6a970a0715f3ab79f309a91529e93a40947b6af1f5fb1cde4e

Observation 37f41df4-528c-4478-80b9-d355020ee878 · outbound

This paper cites Comfyui-stablesr: Integrating stablesr into com- fyui, 2025.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Comfyui-stablesr: Integrating stablesr into com- fyui, 2025

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.459606Z

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=2026-08-15T23:45:50.145135Z digest=sha256:8939459ddc03f7c2483ef0dd92b443dfb5c8dcf63e3e632e5925ecc86e751702

Observation 0ed9e7a6-e0a8-4382-b478-b6a3e14c579e · outbound

This paper cites A survey on video dif- fusion models.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data A survey on video dif- fusion models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.447314Z

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=2026-08-15T23:45:50.148832Z digest=sha256:7a529668276c52c8df1554923f18a94a0cfdd3678574b26de3409bc2cac02996

Observation 433cb7e6-a05b-4bec-9b61-4da5052669d4 · outbound

This paper cites Fine-grained image editing using controlnet: Expanding pos- sibilities in visual manipulation.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Fine-grained image editing using controlnet: Expanding pos- sibilities in visual manipulation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.434409Z

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=2026-08-15T23:45:50.152538Z digest=sha256:c152c3dd9aedbb8c5bb34bfea2aa79a41466e0914434b2591bdd2beb5d4e5de0

Observation ff117898-c515-4278-9f39-fdae7e2915e8 · outbound

This paper cites Magicanimate: Temporally consistent human im- age animation using diffusion model.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Magicanimate: Temporally consistent human im- age animation using diffusion model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.156551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.156551Z digest=sha256:64ffc9b75f0cae1f24757a8d9d0f0e7e25d7cf4a1ecf030e29fa255a0441156b

Observation bddbcae1-d5bf-4f67-8287-1ea83523b23a · outbound

This paper cites Artfu- sion: A diffusion model-based style synthesis framework for portraits.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Artfu- sion: A diffusion model-based style synthesis framework for portraits

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.412530Z

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=2026-08-15T23:45:50.160356Z digest=sha256:088b68c2f8e7f40e130cfacce5d10654885d3dc63e7bd2451411b6e7bcd81390

Observation 24b799ef-b5b2-4306-9fc6-ae4bcd87a56c · outbound

This paper cites Unsupervised traffic accident detection in first-person videos.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Unsupervised traffic accident detection in first-person videos

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.399869Z

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=2026-08-15T23:45:50.164089Z digest=sha256:e3d79696365e1b87269780f444ad81131579add3cae4e975ee9548ad3d2f7d78

Observation a47f07da-ac4f-45e8-99ad-f954bc993675 · outbound

This paper cites Minicpm-v: A gpt-4v level mllm on your phone, 2024.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Minicpm-v: A gpt-4v level mllm on your phone, 2024

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.387103Z

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=2026-08-15T23:45:50.167882Z digest=sha256:2a9b166a00a3d3e64d985b634708d3c25cde7d86a5d5dd5cbc6e088923eba72d

Observation a86d2874-52b9-44f3-996f-7c43de46128e · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.171517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:50.171517Z digest=sha256:1f71e14c7e54a64c62f304abf3ee3e7402551e91a79570dd55e01aba4effbdeb

Observation 6c8f5239-d98b-4bdf-bd27-b35cd394fe79 · outbound

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

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.374117Z

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=2026-08-15T23:45:50.175474Z digest=sha256:95701417e5508012f17a7f385cd321964293efa7bc5bcab9cd750b7b798e4c6b

Observation 5c551fe5-a947-4284-904c-6f792242f054 · outbound

This paper cites Layoutdiffusion: Improving graphic lay- out generation by discrete diffusion probabilistic models.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Layoutdiffusion: Improving graphic lay- out generation by discrete diffusion probabilistic models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:45:50.361312Z

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=2026-08-15T23:45:50.179269Z digest=sha256:616e62b3378b351e9d9b9e86dc8dc091d8e6abee0f4ad4f520e725cf17881731

Observation 6695f78e-55f3-4cdd-9ba3-46bef3997d7b · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Adding conditional control to text-to-image diffusion models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:50.183030Z

Source-reported events for the cited work

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Observation 50529623-14c0-4d0c-b4b8-1a10cfa7ff8d · outbound

This paper cites Weinberger, and Yoav Artzi.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Weinberger, and Yoav Artzi

Reference 68

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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 1d9943b2-94e7-4d46-85af-4d7f52163578 · outbound

This paper cites Denoising dif- fusion models for plug-and-play image restoration.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Denoising dif- fusion models for plug-and-play image restoration

Reference 69

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87be2903-43ae-47e4-bd7a-6bdafbb4fa44 · outbound

This paper cites WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving

Reference 70

Resolution
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Source-reported events for the cited work

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Observation 1d96fc45-58fb-43ef-9ea6-58a197a76551 · outbound

This paper cites an unresolved cited work.

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Unresolved cited work

Reference 2017

Resolution
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Pith citing papers

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