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Paper Citation Record · LEDGER

ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.11394.

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

pith.paper-citation-record.v1
2001.11394 v4

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:35:10.139132Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:35:10.272207Z

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 88eda93f-088c-45ab-a4ac-58930f9afe38 · inbound

RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment cites this paper.

RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:35:10.276174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:35:10.139132Z digest=sha256:c98046be462e46974d0d85f228a4c452ea47248fc7ddf047ac4ad6e0a1f0c180

Observation a18ce8eb-18a6-408f-8d67-a1f5f22e59de · inbound

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval cites this paper.

MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T09:27:32.357873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:27:32.357873Z digest=sha256:4d46366e622eb12a8e3b1a823e24c7a73748f5453ff65cc39d7105b3a633f800