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Paper Citation Record · LEDGER

CANDELS/GOODS-S, CDFS, ECDFS: Photometric Redshifts For Normal and for X-Ray-Detected Galaxies

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1409.7119.

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

pith.paper-citation-record.v1
1409.7119 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:02:25.855373Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

153
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f5556354-3ba2-4c83-ab5c-cfea9cb9b40b · inbound

Unveil the nature of JWST-AGN and Little Red Dots with SKAO continuum surveys cites this paper.

Unveil the nature of JWST-AGN and Little Red Dots with SKAO continuum surveys CANDELS/GOODS-S, CDFS, ECDFS: Photometric Redshifts For Normal and for X-Ray-Detected Galaxies

Reference 265

Resolution
verified exact
local_arxiv, observed 2026-07-01T06:25:28.090683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:5fb07d38af0b376bec704e7c77531ffed9cd5ccc409bb4790cd9d31a010c80a2

Observation a7ef016d-5e30-4884-b19b-cdcbcf8d594f · inbound

VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features cites this paper.

VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features CANDELS/GOODS-S, CDFS, ECDFS: Photometric Redshifts For Normal and for X-Ray-Detected Galaxies

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-01T21:02:25.855373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:02:25.855373Z digest=sha256:d4e1fc1e01a2f3a38b303d749d6adc90d3867dd9eeaacea4e259ae7f1d05d768