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 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.16634.

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

pith.paper-citation-record.v1
2401.16634 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:34.998569Z

measured 0 of 1 external citation measurements

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 d1b47696-314e-49fa-80a8-638cf7a709ad · inbound

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors cites this paper.

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T19:11:16.847263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e59747-7c49-44d2-8ee9-09b4bd4b9855 · inbound

HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection cites this paper.

HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:34.998569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a3a9f0-6058-404c-b52b-dfcf9c6926e2 · inbound

Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets cites this paper.

Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:00:17.032634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3b0fd1-2a87-4fe7-b721-6b689c64d7de · inbound

Enhancing Target-unspecific Tasks through a Features Matrix cites this paper.

Enhancing Target-unspecific Tasks through a Features Matrix The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:52.520731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.