Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T20:11:02.051543Z
Paper Citation Record · LEDGER
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving
As of 5 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.07103.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact13
- verified fuzzy25
- unresolved14
- parse uncertain0
- malformed identifier1
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f773b7af-e458-43ec-b0f3-da214fd3f194 · outbound
This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2446–2454 (2020).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2446–2454 (2020)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.921283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0f0a36f7-f32c-49dd-af18-8aae59f99f7d · outbound
This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.464977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a274707c-b079-4759-a2fc-db081bd06783 · outbound
This paper cites Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T20:16:29.461972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 830ae06c-9cc2-4706-9b10-958484dc5ba9 · outbound
This paper cites SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.466597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2ebe387-546d-43f6-bf0f-6ed57f4634e8 · outbound
This paper cites & Eckstein, L.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving & Eckstein, L
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.928528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 677561e9-4f91-4973-b5de-19cf894e99b2 · outbound
This paper cites In2020 IEEE Intelligent Vehicles Symposium (IV), 1929–1934 (IEEE, 2020).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving In2020 IEEE Intelligent Vehicles Symposium (IV), 1929–1934 (IEEE, 2020)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.942303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 51b0bd36-c2e7-472d-9e1c-9313c0667316 · outbound
This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2446–2454 (2020).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2446–2454 (2020)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.947571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 324809cd-fe1b-4e08-963b-ba34b18fca69 · outbound
This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11621–11631 (2020).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11621–11631 (2020)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.901442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77ca65d5-728c-460e-a19d-d7f05dea09e2 · outbound
This paper cites OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.479955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c0b56086-fd95-4a5f-b7e4-b62a3865663d · outbound
This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T20:16:29.472074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f87b5fc7-6f5d-40dd-88bf-d3367b165808 · outbound
This paper cites InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.464241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ec66260-e8e6-473b-858d-d77d36fe3e30 · outbound
This paper cites & Farooq, B.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving & Farooq, B
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.894286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3d915fc-13fb-4f74-9fd2-015d5ae79a30 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T20:16:29.475464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 99e06411-d6e0-44e1-a54a-c805b589b356 · outbound
This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.472795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 124818f7-f792-44db-96f3-f5bfc9ec88b8 · outbound
This paper cites InProceedings of the European Conference on Computer Vision (ECCV)(2024).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InProceedings of the European Conference on Computer Vision (ECCV)(2024)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.891031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d9e57458-23cf-429f-b320-993c1657702b · outbound
This paper cites In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)(2025).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)(2025)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.892792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da736af6-4a94-4f62-9bbc-b610b1d2fa82 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T20:16:29.454700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c17c601-7636-4dc0-9aef-31e85dd41760 · outbound
This paper cites Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.462683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dda71600-07c4-46fe-8cc8-57b0c9bd90de · outbound
This paper cites Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T20:16:29.477932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a73750e7-ab6e-4bcc-8a5c-1f05b89236fa · outbound
This paper cites & Eckstein, L.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving & Eckstein, L
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.951011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 71a185d0-3138-4a04-8f2a-375e2ad4d626 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.946695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9155347d-20b6-43c7-84b0-e52b20c6030a · outbound
This paper cites Next generation simulation (NGSIM) vehicle trajectories and supporting data.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Next generation simulation (NGSIM) vehicle trajectories and supporting data
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.942507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0c374fb-5cac-462b-bbfb-c1ae034dd838 · outbound
This paper cites In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 9710–9719 (2021).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 9710–9719 (2021)
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.940339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5e79f36f-2b73-43c2-b9c2-eab14c122449 · outbound
This paper cites A: Transp.
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.944671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d8e9af73-46fa-41dc-8d67-fe2ce9df425b · outbound
This paper cites & Ciuffo, B.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving & Ciuffo, B
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.926856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ccf075db-c4e6-4886-8723-2931a260c554 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.929468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8db10f1b-f650-4a6c-9a79-6b78b1faa209 · outbound
This paper cites An analysis of vehicle acceleration behavior in urban traffic flow.Transp.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving An analysis of vehicle acceleration behavior in urban traffic flow.Transp
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.923165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f1b831b5-d218-495e-a018-f714f0880dc5 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.936847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dfd0b541-5782-4d54-b2a9-f2a13814f883 · outbound
This paper cites & Onieva, E.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving & Onieva, E
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.943925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82a22dff-dfac-4a8c-bcde-294c80caec01 · outbound
This paper cites How long does it take to stop? methodological analysis of driver perception-brake times.Transp.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving How long does it take to stop? methodological analysis of driver perception-brake times.Transp
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.913900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8de27ba0-874a-484f-baa5-3696cff87c26 · outbound
This paper cites Surrogate safety measures from traffic simulation models: Final Report.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Surrogate safety measures from traffic simulation models: Final Report
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.915659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 12381774-abf1-4490-b584-5bd9e53f1072 · outbound
This paper cites & Knoll, A.
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.895875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7dca892e-6f7e-413d-b0a6-349fc47c17f7 · outbound
This paper cites LingoQA: Visual Question Answering for Autonomous Driving.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving LingoQA: Visual Question Answering for Autonomous Driving
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.480199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 401d54d3-6b4d-4ade-aa03-80dd8999de8d · outbound
This paper cites & Guo, F.
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.905896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 713b31ed-fcd5-47c3-91d3-111bb9d013fc · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T20:16:29.477462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e65e8bf-04c7-4b5e-a8a8-0921f10230c1 · outbound
This paper cites InProceedings of the European Conference on Computer Vision (ECCV)(2024).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InProceedings of the European Conference on Computer Vision (ECCV)(2024)
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.879124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f32b2383-f6b2-405a-a865-33afda111b67 · outbound
This paper cites Zheng, J.
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T20:16:29.437342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 92c5873c-190e-430a-a81e-ee35ce37c389 · outbound
This paper cites InAdvances in Neural Information Processing Systems (NeurIPS)(2023).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InAdvances in Neural Information Processing Systems (NeurIPS)(2023)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.903153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0ff9423-1a5f-4df9-8864-e0a165efe70f · outbound
This paper cites & Chen, D.
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.882806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd4f26b5-eaef-4f1b-b2c8-d544fbadf747 · outbound
This paper cites CrashAgent: Crash Scenario Generation via Multi-modal Reasoning.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.459537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9ece231f-259a-4499-b5ec-fe974628ec04 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.907619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7ce796c2-5e77-43bf-9428-5704e4b566ba · outbound
This paper cites InAdvances in Neural Information Processing Systems (NeurIPS)(2022).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving InAdvances in Neural Information Processing Systems (NeurIPS)(2022)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.934984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7368993b-370b-4bc8-bb2c-59bb79f9f67c · outbound
This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:16:29.470389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3f02b8c-0b22-4daf-a6c5-f77607ede32e · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 44
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T20:16:29.460256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation edb543f3-ea53-435c-b285-ad01b53c7c8b · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.926129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation be5b29c0-c546-486c-95fc-7e68f827c0cf · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.927854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 84162a56-819b-455d-a508-d26613a32207 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.924249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 349cd58b-3639-425c-94e5-8ca50d2305fc · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.933285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c23b6ed1-8948-4b11-b16b-94e1abc674de · outbound
This paper cites car_id": 134,.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving car_id": 134,
Reference 49
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-09T20:16:29.938717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd13b5a1-5c3a-4df9-96eb-ea273cb6e255 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.884446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 06049a6a-5f64-42a1-892c-d8a22bac53bc · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.938538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bc7bb183-ba05-4cb7-a9cb-a16a1d9ebf0e · outbound
This paper cites This scenario takes place at an expressway.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving This scenario takes place at an expressway
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.948723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b8179d5-656c-4e0a-a11b-61a56bb9dc76 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.945782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e20e96c-e277-4fd9-abb0-b459ceb08e42 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.911208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dcf527a0-d44f-40c4-adf7-7d10bf7c1c87 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.914602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf8a5bfd-bf2b-4139-b491-ccf80ed04c81 · outbound
This paper cites an unresolved cited work.
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T20:16:29.912874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f93cbf47-e81d-46f2-9599-2bad440b54e6 · outbound
This paper cites The structured scenario description of ego vehicle 822 and its neighbors, together with the domain-specific system prompt and its five-action schema, form the LLM input (left).
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving The structured scenario description of ego vehicle 822 and its neighbors, together with the domain-specific system prompt and its five-action schema, form the LLM input (left)
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T20:16:29.918530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.