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Paper Citation Record · LEDGER

Machine learning cosmic inflation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.14142.

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

pith.paper-citation-record.v1
2211.14142 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:48:55.448916Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:55:25.136468Z

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 274afbbb-1b9f-4dae-926d-d711d5c7e3f4 · inbound

The effective phase space and $e$-folding of the Starobinsky and extended Starobinsky model of inflation cites this paper.

The effective phase space and $e$-folding of the Starobinsky and extended Starobinsky model of inflation Machine learning cosmic inflation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T21:48:55.448916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:48:55.448916Z digest=sha256:c8ed28312be87503d763dc8d5616b4bb8775e4f55877fbc55a0cbe75ec159619

Observation c2dc0ba1-2ceb-4b1e-898b-8ff2e65faaef · inbound

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

Reconstructing inflationary features on large scales using genetic algorithm Machine learning cosmic inflation

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:55:25.138073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T12:52:02.393463Z digest=sha256:bc317b69d466174c1351820a4b0f12ba51541a91fc4f7c0ba2db898e2e48bb39