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Paper Citation Record · LEDGER

Mastering Nordschleife -- A comprehensive race simulation for AI strategy decision-making in motorsports

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.16088.

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

pith.paper-citation-record.v1
2306.16088 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:53.085664Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 a66daa96-bca0-4170-8e63-164ba080a17a · inbound

Explainable Reinforcement Learning for Formula One Race Strategy cites this paper.

Explainable Reinforcement Learning for Formula One Race Strategy Mastering Nordschleife -- A comprehensive race simulation for AI strategy decision-making in motorsports

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:50:53.606566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T21:50:53.085664Z digest=sha256:f7d5650002c45fabf5c23451221e2f10d0debe331a82a35dacab1bce07ad962e

Observation cfa59000-3f9e-46f3-8fd8-202a0240b01a · inbound

Learning-based Multi-agent Race Strategies in Formula 1 cites this paper.

Learning-based Multi-agent Race Strategies in Formula 1 Mastering Nordschleife -- A comprehensive race simulation for AI strategy decision-making in motorsports

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T20:32:42.929440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:32:42.929440Z digest=sha256:0f06eda8f45d28c2dc34db4b1cf31fe2cb50bb7d8a388d459c2167985e9cbab4