Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T02:01:58.009647Z
Paper Citation Record · LEDGER
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding
As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.08745.
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 2026-08-14T06:32:32.682623+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
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy12
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bfc42bf9-3ec6-45a5-889c-71e1d2271daa · outbound
This paper cites Lang, et al.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Lang, et al
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.250635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 84dceef0-7407-4cb7-ab56-0ba4ba2d5ef8 · outbound
This paper cites Argoverse: 3d tracking and forecasting with rich maps.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Argoverse: 3d tracking and forecasting with rich maps
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.232453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 72eab2a4-57cf-49eb-84f9-1550dc09715b · outbound
This paper cites Drivingvqa: A dataset for interleaved visual chain-of-thought in real-world driving scenarios.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Drivingvqa: A dataset for interleaved visual chain-of-thought in real-world driving scenarios
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.236499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2313295b-6e32-4099-a1e9-35ef28916285 · outbound
This paper cites The cityscapes dataset for semantic urban scene understand- ing.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding The cityscapes dataset for semantic urban scene understand- ing
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.234732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8ef455ac-2c4a-430e-b50e-76d1b6c44a56 · outbound
This paper cites Vision-based traffic accident detection and anticipation: A survey.IEEE Transactions on Circuits and Systems for Video Technology, 34(4):1983–1999, 2023.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Vision-based traffic accident detection and anticipation: A survey.IEEE Transactions on Circuits and Systems for Video Technology, 34(4):1983–1999, 2023
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.238761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 62fc1f11-523c-44c2-941d-3f156605b111 · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.244268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 690730ff-9ec8-4863-96eb-ff3c45598f35 · outbound
This paper cites Computer vision for autonomous vehicles: Prob- lems, datasets and state of the art.Foundations and Trends in Computer Graphics and Vision, 12(1–3):1–308, 2017.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Computer vision for autonomous vehicles: Prob- lems, datasets and state of the art.Foundations and Trends in Computer Graphics and Vision, 12(1–3):1–308, 2017
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.246423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d6c2bce7-542b-489d-9e11-bd69cd7452c4 · outbound
This paper cites Nuplanqa: A large-scale dataset and benchmark for multi- view driving scene understanding in multi-modal large lan- guage models.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Nuplanqa: A large-scale dataset and benchmark for multi- view driving scene understanding in multi-modal large lan- guage models
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.248714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 52d3d124-b2db-4145-8703-6638226949f2 · outbound
This paper cites Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.252557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 28a46e76-4422-4f62-ab7e-dc603ce7575a · outbound
This paper cites Scala- bility in perception for autonomous driving: Waymo open dataset.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Scala- bility in perception for autonomous driving: Waymo open dataset
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.240411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 00067a6a-50f3-49fc-835b-5ee56923127b · outbound
This paper cites Embodied scene understanding for vi- sion language models via metavqa.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Embodied scene understanding for vi- sion language models via metavqa
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.242260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7d2d75f2-f885-4192-b229-100c998caab2 · outbound
This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T02:06:42.238542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.