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Paper Citation Record · LEDGER

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.06934.

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

pith.paper-citation-record.v1
2202.06934 v5

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:13:05.836668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:53:14.311369Z

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 666322f9-22c0-4119-af03-cac171c709dd · inbound

CANSURF: An ASV-View Can Dataset and Benchmark for Detection and Tracking of Surface-Level Debris cites this paper.

CANSURF: An ASV-View Can Dataset and Benchmark for Detection and Tracking of Surface-Level Debris Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:53:14.313900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T21:53:00.119043Z digest=sha256:64546b470e0aa097460220f75abc953366fe18e5b0938a4eea10949d02a61c2b

Observation 7406d44c-2f7f-4e24-b404-1451eca86cf8 · inbound

Small-Pollinator Detection in Cluttered Field Video cites this paper.

Small-Pollinator Detection in Cluttered Field Video Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T04:13:05.836668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:13:05.836668Z digest=sha256:69e4dddfa7ee8c38888c2b3559a22be4228987d1a4859f8f26bfe4f784f04566