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Paper Citation Record · LEDGER

Measuring the Hubble Constant with cosmic chronometers: a machine learning approach

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.09017.

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

pith.paper-citation-record.v1
2209.09017 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:27:29.463467Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:54:20.026956Z

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 4fb51470-fba2-4180-b5d0-d378a6b3e416 · inbound

Non-parametric reconstructions of cosmic curvature: current constraints and forecasts cites this paper.

Non-parametric reconstructions of cosmic curvature: current constraints and forecasts Measuring the Hubble Constant with cosmic chronometers: a machine learning approach

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T10:27:29.463467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:27:29.463467Z digest=sha256:e58cc9a5650d34ac02c16ab9b85a73d37ef7973fa8313b8a8f421209afb4f39d

Observation 2abb0899-51bf-49ef-bcaf-07367d205065 · inbound

Reconstructing Cosmic History with Machine Learning: A Study Using CART, MLPR, and SVR cites this paper.

Reconstructing Cosmic History with Machine Learning: A Study Using CART, MLPR, and SVR Measuring the Hubble Constant with cosmic chronometers: a machine learning approach

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:54:20.142512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:54:17.675642Z digest=sha256:db3394f34823ee43b48762dea0a1a79796ec6b6a8281019c56ff255a5fcfa006