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Paper Citation Record · LEDGER

AMRNet: Chips Augmentation in Aerial Images Object Detection

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.07168.

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

pith.paper-citation-record.v1
2009.07168 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:28:47.252551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:53:15.893417Z

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 fd166d3e-83e8-4796-a587-b2db0490e5e1 · inbound

RemDet: Rethinking Efficient Model Design for UAV Object Detection cites this paper.

RemDet: Rethinking Efficient Model Design for UAV Object Detection AMRNet: Chips Augmentation in Aerial Images Object Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T16:28:47.252551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:28:47.252551Z digest=sha256:eee6e687cb20b9638721d11ad447550a74f5570b6c0d6fd3d3d24f9197ce8f4d

Observation c4118c05-a0e1-45b6-a11b-c3e345cf7ff8 · inbound

SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection cites this paper.

SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection AMRNet: Chips Augmentation in Aerial Images Object Detection

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:53:15.894854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T20:50:49.295772Z digest=sha256:7ce6c44aa49bf4400d1a06a3759df0987fdf5a26ae483b8ce08e9e6e94225875