Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.16634.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:39:23.995923Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:27:32.537537Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c6ff05b2-54ae-4aa6-a9db-e6d185d37c3a · inbound
To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models cites this paper.
To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:39:23.995923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b6c7b24-24a9-4a6d-a776-76863d7609be · inbound
Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset cites this paper.
Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:27:32.610750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.