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Paper Citation Record · LEDGER

Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.11805.

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

pith.paper-citation-record.v1
1807.11805 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:42.019318Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:01:28.549141Z

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 cf57b514-e825-4df5-b019-9d5da6d515f1 · inbound

Leaf diseases detection using deep learning methods cites this paper.

Leaf diseases detection using deep learning methods Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning

Reference 3446

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.019318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.019318Z digest=sha256:67987a25ec22fce639749de89af85ee593206d0fb10a3fd555bd1d4155a49542

Observation d7bba23f-b3b9-41e6-a8b0-cc7c7451d6fd · inbound

Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications cites this paper.

Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:58:23.694656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T01:24:46.294409Z digest=sha256:abded9083636668607a3ed0647f16d6cd70a78dd4abb46926cd915b3063a9553