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Paper Citation Record · LEDGER

Transfer learning for galaxy morphology from one survey to another

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.00807.

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

pith.paper-citation-record.v1
1807.00807 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:06:42.437743Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-14T17:47:31.462674Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 ca68a9b5-986f-4c6e-9c24-9fdaa163b1e7 · inbound

Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey cites this paper.

Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey Transfer learning for galaxy morphology from one survey to another

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T05:06:42.437743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:06:42.437743Z digest=sha256:6b6e27bd617f0ff41766cc38c0e753c9270a19f6f0fd9ba7d8603dabf9be7fe8

Observation f8b522ba-2efa-4c86-9d5a-4d137a0961d6 · inbound

From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies cites this paper.

From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies Transfer learning for galaxy morphology from one survey to another

Reference 197

Resolution
verified exact
local_arxiv, observed 2026-05-14T17:47:31.464821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:b9c23cfe88cf566ac7fb997278504acf943d445baafe367c7c21180ac720c7c3