Pith. sign in

Paper Citation Record · LEDGER

AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2008.01133.

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

pith.paper-citation-record.v1
2008.01133 v1

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 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:21:22.571409Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T10:21:22.933112Z

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 2a368652-d005-4338-827c-9ae4cc8e5563 · inbound

GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks cites this paper.

GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:21:22.940214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:21:22.571409Z digest=sha256:03a7d5ce04798eecafd1fd653d956250210e4ef1b23441c02fa83f1f7c85081d