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Paper Citation Record · LEDGER

Selection biases in empirical p(z) methods for weak lensing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1610.01160.

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

pith.paper-citation-record.v1
1610.01160 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:34:33.142089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:10:54.032466Z

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 92d36c51-eca2-452d-a523-c07a7ada09b3 · inbound

Dark Energy Survey Year 6 Results: Redshift Calibration of the MagLim++ Lens Sample cites this paper.

Dark Energy Survey Year 6 Results: Redshift Calibration of the MagLim++ Lens Sample Selection biases in empirical p(z) methods for weak lensing

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T21:34:33.142089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:34:33.142089Z digest=sha256:2fed5b4465e875acc1df63d77c661b0a65d07a8e4f7af05ada03b45c199a810b

Observation 748a6d39-7bb5-4f64-9514-bf739a877f51 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts Selection biases in empirical p(z) methods for weak lensing

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:52:51.685108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:51:26.783868Z digest=sha256:0afea809adc1ca981f57cfc82a8ffc15461d001fb7a51ae09178a42eeb70d7fa