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Paper Citation Record · LEDGER

YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.11165.

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

pith.paper-citation-record.v1
2504.11165 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:30:23.480111Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:41:31.495744Z

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 f6d32e7d-7ca7-46d3-9825-298f9e84c00e · inbound

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning cites this paper.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:41:31.498567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T04:00:20.097456Z digest=sha256:979b34b3534516d1b55cc60647ca03952218cf77ea3788e7585e5dc28d28e160

Observation 9af5dd70-9d10-460a-89c5-add77544b98a · inbound

Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide cites this paper.

Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T07:30:23.480111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:30:23.480111Z digest=sha256:429b99e12ea1546dfb4814282e6202c3c8ff811926c4627cd653c9d27722cb00