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Paper Citation Record · LEDGER

Augmented LiDAR Simulator for Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.07112.

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

pith.paper-citation-record.v1
1811.07112 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T00:08:01.225958Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T00:10:07.393116Z

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 63121d3b-5dad-44de-a3e6-4b6b8abad20e · inbound

Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation cites this paper.

Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation Augmented LiDAR Simulator for Autonomous Driving

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:10:07.397459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T00:08:01.225958Z digest=sha256:3bea1313a9e52a59c3f66877fc94c143c94ff787b7cef88a8be2f25a6e8ecf9b

Observation b329873e-f0a6-4afb-81d3-49477a34c205 · inbound

How much real data do we actually need: Analyzing object detection performance using synthetic and real data cites this paper.

How much real data do we actually need: Analyzing object detection performance using synthetic and real data Augmented LiDAR Simulator for Autonomous Driving

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-24T20:49:54.543397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T20:48:51.430219Z digest=sha256:cc577011c8bb1655554dfe6e791b70d911bc51a26ac6bcca0c6d3afce87c41d8