Paper Citation Record · LEDGER

Hints of dark energy anisotropic stress using Machine Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2001.11420.

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

pith.paper-citation-record.v1
2001.11420 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:35:31.152269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:29:54.354334Z

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 5069e6e1-9dc3-4e8c-bbb8-07f5f3aef2c4 · inbound

Comparative analysis of the NANOgrav Hellings-Downs as a window into new physics cites this paper.

Comparative analysis of the NANOgrav Hellings-Downs as a window into new physics Hints of dark energy anisotropic stress using Machine Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T13:35:31.152269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0eed84c-55d0-4193-a955-c88840cab90e · inbound

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension cites this paper.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Hints of dark energy anisotropic stress using Machine Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T23:23:59.900727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23df9d16-41fb-42e6-9da2-18319ca5590c · inbound

Reconstructing inflationary features on large scales using genetic algorithm cites this paper.

Reconstructing inflationary features on large scales using genetic algorithm Hints of dark energy anisotropic stress using Machine Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:55:25.108127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4cde047d-29b9-4e93-a288-d59b61ec4e0f · inbound

A solid unification of the dark sector cites this paper.

A solid unification of the dark sector Hints of dark energy anisotropic stress using Machine Learning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:29:54.355780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.