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Paper Citation Record · LEDGER

Keep it Simple: Image Statistics Matching for Domain Adaptation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.12551.

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

pith.paper-citation-record.v1
2005.12551 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:04:33.022892Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:04:35.268088Z

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 505c4993-bac7-419e-8c62-4cd6f089685d · inbound

Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery cites this paper.

Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery Keep it Simple: Image Statistics Matching for Domain Adaptation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:04:35.378183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:04:33.022892Z digest=sha256:376b472c9edc194684627c8926e23dec018c22ce8cf7d23319da665a963e77ca

Observation 48344176-009e-494a-8d7d-125557e5588f · inbound

Riemannian Deep Learning: Modules, Networks, and Geometries cites this paper.

Riemannian Deep Learning: Modules, Networks, and Geometries Keep it Simple: Image Statistics Matching for Domain Adaptation

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-01T12:55:19.470109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:55:19.470109Z digest=sha256:6f16afc93d17bcf37c7d0723f8cc977b7f0213517c9301d7cf8105258f2b6aaf