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Paper Citation Record · LEDGER

A Tale of Two Fields: Neural Network-Enhanced non-Gaussianity Search with Halos

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.01007.

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

pith.paper-citation-record.v1
2410.01007 v1

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 2026-08-12T15:18:37.004750Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:54:06.717145Z

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 039ee1a9-a454-48fe-848a-77c04f7b381e · inbound

The constraining power of the Marked Power Spectrum: an analytical study cites this paper.

The constraining power of the Marked Power Spectrum: an analytical study A Tale of Two Fields: Neural Network-Enhanced non-Gaussianity Search with Halos

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T15:18:37.004750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:18:37.004750Z digest=sha256:90bf83b0c0664884f9136b62a08d38ac00f4df3271835edcabadb1d27b5cc3ed

Observation 368fc376-8102-4519-857b-35002eaab029 · inbound

Probing primordial non-Gaussianity by reconstructing the initial conditions cites this paper.

Probing primordial non-Gaussianity by reconstructing the initial conditions A Tale of Two Fields: Neural Network-Enhanced non-Gaussianity Search with Halos

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:54:06.724199Z

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=2026-08-12T04:54:06.464549Z digest=sha256:15bacde9f4719f9035e9de90c8b3012b68d2b2107eeffd6224c0698f55a87e15