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Paper Citation Record · LEDGER

Autonomous Racing with AutoRally Vehicles and Differential Games

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1707.04540.

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

pith.paper-citation-record.v1
1707.04540 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:35:00.197375Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:35:00.256719Z

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 87e701bf-7aaf-4eba-8f9d-dcd02f1b369c · inbound

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function cites this paper.

{\alpha}-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function Autonomous Racing with AutoRally Vehicles and Differential Games

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:35:00.260137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T17:35:00.197375Z digest=sha256:5481e255dab6c030ec649e0d9e7f655ae1b18dc6b2c57f8f5b71714f09937d8a

Observation cc625c59-7f71-4bb2-b05f-16a896e0eb43 · inbound

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing cites this paper.

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing Autonomous Racing with AutoRally Vehicles and Differential Games

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T03:47:29.537788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:47:29.537788Z digest=sha256:300174f4c7fd1701bb6ba1ba4032e8467825af6defd3dd184b65e9add28a2bf7