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Paper Citation Record · LEDGER

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.13456.

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

pith.paper-citation-record.v1
2305.13456 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 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:03:25.776331Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T19:03:26.189470Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 9ac0a7a7-3d47-4b27-98d6-094f8bdd0fac · inbound

SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models cites this paper.

SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:03:26.201836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T19:03:25.776331Z digest=sha256:4ccdfa19df2f9368e500255a69f7eee1d945b5ad3238839d43b2d028e2558fd2