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Paper Citation Record · LEDGER

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.02953.

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

pith.paper-citation-record.v1
2205.02953 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:04.041701Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:47:27.058002Z

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 1eefadb4-9434-4f89-ad32-93e66c92ff83 · inbound

Simulation to Reality: Testbeds and Architectures for Connected and Automated Vehicles cites this paper.

Simulation to Reality: Testbeds and Architectures for Connected and Automated Vehicles Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T23:55:04.041701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:55:04.041701Z digest=sha256:2d82877f1d3810b367d3876219fd3455a9d490eb26c0ff7993a6e0ecd8a7e302

Observation 32cede1b-f6c5-41dd-a0a6-0e7bf82f38e3 · inbound

Advancing Autonomous Racing: A Comprehensive Survey of the RoboRacer (F1TENTH) Platform cites this paper.

Advancing Autonomous Racing: A Comprehensive Survey of the RoboRacer (F1TENTH) Platform Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:47:27.115342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T23:47:24.450073Z digest=sha256:77cba4263483ada0973404c216f4b51955eae4bb3e63fd60902575aff1251633