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Paper Citation Record · LEDGER

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.02951.

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

pith.paper-citation-record.v1
2012.02951 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:47:49.310498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:07.385201Z

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 1a9ddb29-bc91-4dd4-9526-6b7074356561 · inbound

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation cites this paper.

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T13:47:49.310498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:47:49.310498Z digest=sha256:e9d41c18bd3c8f7ea4b0772cebdeaeec38b23d60d95e09922cf1a4ac02147521

Observation 97cd380c-0b52-46d4-8e4f-e037ebe200b0 · inbound

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection cites this paper.

Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T04:43:02.893049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:43:02.893049Z digest=sha256:a7fdd111b880bfdd52b4ac5be663626d989bad0e6ce53ff93782c34e7a284daf

Observation 0815eb25-4bea-44dc-8b4c-dcb93d93722f · inbound

3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment cites this paper.

3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T17:07:23.170907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:07:23.170907Z digest=sha256:82342fd38ce771fff326eb959455e28a152b7f402ab43b8733a3f39642d71b6c

Observation 7c999f9b-21e9-4a79-8668-8e8f67e326c2 · inbound

Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion cites this paper.

Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:07.387726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T21:32:27.296146Z digest=sha256:2830159dc851cbfe8429223b225e07121c7ed52b50186f2b970cfca342a358b4