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Paper Citation Record · LEDGER

QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.00707.

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

pith.paper-citation-record.v1
2406.00707 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:32:34.814326Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T13:32:34.911526Z

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 5f758e9c-3c59-4146-9661-9cbc0f3c2c75 · inbound

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning cites this paper.

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:32:34.920859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:32:34.814326Z digest=sha256:402176c8c39380f386d0147aa6a6ca89ee9e0eb07cfd6d091407f1ecc8626754