Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:18:26.489185Z
Paper Citation Record · LEDGER
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets
As of 20 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1909.05620.
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 2026-08-20T06:33:59.587034+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
14 of 14 outbound references displayed
- verified exact0
- verified fuzzy8
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a86b2e50-fe3e-4420-872b-b2388680a7f5 · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets The cityscapes dataset for semantic urban scene understanding
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:18:26.181408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9daeb30d-b82e-49ec-8860-dc087b642c87 · outbound
This paper cites A new per- formance measure and evaluation benchmark for road detection al- gorithms.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets A new per- formance measure and evaluation benchmark for road detection al- gorithms
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:27.021007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d674412-b7c1-49b1-826c-a784eac83c05 · outbound
This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:18:26.278783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b63685c-9536-46e2-a006-72d75ecf1a01 · outbound
This paper cites Extreme clicking for efficient object annotation.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Extreme clicking for efficient object annotation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.992989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e1861f5d-398a-4377-a2c1-1a706704fc6f · outbound
This paper cites Everingham, S.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Everingham, S
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.888939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 52a69ad2-1547-4451-b02e-5f063f3baa75 · outbound
This paper cites Training object class detectors with click supervision.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Training object class detectors with click supervision
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.792986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1d070d4e-70d7-4d83-b576-0e591c73f904 · outbound
This paper cites Spot on: Action localization from pointly-supervised proposals.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Spot on: Action localization from pointly-supervised proposals
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.767266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc4dca74-cd86-436e-b15a-cdc208493960 · outbound
This paper cites Whats the point: Semantic segmentation with point supervision.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Whats the point: Semantic segmentation with point supervision
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.750325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 303ee607-69cb-461a-a214-5bc7c62a4f84 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:18:26.438375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef08501b-1d26-48a4-9ce1-5c085a49ef64 · outbound
This paper cites Deep residual learning for image recognition.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Deep residual learning for image recognition
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:18:26.450224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd688d38-5ab7-431a-9b80-69c9982ef50d · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:18:26.474655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 566eba6a-b017-4229-a562-78a1069c1cf8 · outbound
This paper cites Geodesic active contours.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Geodesic active contours
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.721263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4e0e94c9-03fd-4b92-8062-44815e2df527 · outbound
This paper cites Fast r-cnn.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Fast r-cnn
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:18:26.484301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a9cd6c6-e2b0-444f-acda-3cdb2b8f26e0 · outbound
This paper cites Pedestrian detection: A benchmark.
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets Pedestrian detection: A benchmark
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:18:26.692061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.