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Paper Citation Record · LEDGER

Neutrino mass bounds from confronting an effective model with BOSS Lyman-alpha data

As of 13 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.03050.

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

pith.paper-citation-record.v1
2011.03050 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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T04:03:53.162706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T04:04:35.968116Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 e05d3b95-fa8f-4dc7-9078-947235e971ed · inbound

Reanalyzing DESI DR1: 2. Constraints on Dark Energy, Spatial Curvature, and Neutrino Masses cites this paper.

Reanalyzing DESI DR1: 2. Constraints on Dark Energy, Spatial Curvature, and Neutrino Masses Neutrino mass bounds from confronting an effective model with BOSS Lyman-alpha data

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:19:01.249402Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T04:15:18.730245Z digest=sha256:d5d72f7e3f09c1f78be1dfce6656e51d1774f628fad923b9bd802ecebde9805b

Observation 84985fbb-175b-4e48-ab19-960638e364b3 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Neutrino mass bounds from confronting an effective model with BOSS Lyman-alpha data

Reference 152

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:04:35.970657Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:dd6d09ec4932d3b1594b9201e80be958734525ceaa2cd5b88964f264717eba91