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Paper Citation Record · LEDGER

Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.07262.

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

pith.paper-citation-record.v1
2309.07262 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:15.474601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T01:23:26.880869Z

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 a26d2e2f-dc5f-4f6c-a019-01a910c36f41 · inbound

Multi-agent Embodied AI: Advances and Future Directions cites this paper.

Multi-agent Embodied AI: Advances and Future Directions Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:15.474601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.474601Z digest=sha256:c93b0fa2234c4bf2d8c09e2b490cc4fb3a36af9919c60e45d25e9c68e743930b

Observation a52324c4-3374-448a-b38b-008e19e0fdeb · inbound

Simple Trajectory Smoothing for UAV Reference Path Planning Based on Decoupling, Spatial Modeling and Linear Programming cites this paper.

Simple Trajectory Smoothing for UAV Reference Path Planning Based on Decoupling, Spatial Modeling and Linear Programming Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:23:26.883354Z

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=2026-05-15T01:22:22.366638Z digest=sha256:e29134521280427708c438c5a5de2f17781502c32f0a5d26ca5d716aba12533b