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Paper Citation Record · LEDGER

Precise Payload Delivery via Unmanned Aerial Vehicles: An Approach Using Object Detection Algorithms

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.06329.

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

pith.paper-citation-record.v1
2310.06329 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:01:08.383189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:55.924046Z

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 83523243-86f7-4116-9d9c-eaafd791e943 · inbound

Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game cites this paper.

Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game Precise Payload Delivery via Unmanned Aerial Vehicles: An Approach Using Object Detection Algorithms

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T19:01:08.383189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:01:08.383189Z digest=sha256:ea7dba691c86425a68a33add64a2a81e6f68ab501dc1550a49f5ed1d847e0710

Observation 536ae411-ecba-4663-9892-d3611cba7d2f · inbound

Chameleon: Recovering Cyber-Physical Systems from Memory Corruption Attacks via ML Surrogates cites this paper.

Chameleon: Recovering Cyber-Physical Systems from Memory Corruption Attacks via ML Surrogates Precise Payload Delivery via Unmanned Aerial Vehicles: An Approach Using Object Detection Algorithms

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:55.926140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T20:13:15.894477Z digest=sha256:20ec2314e45cf3669ed531961ddb4e0226d9d38b0b70a2a6c82c3b629b9faad2