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Paper Citation Record · LEDGER

Improving constraints on primordial non-Gaussianity using neural network based reconstruction

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.07018.

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

pith.paper-citation-record.v1
2305.07018 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:06.445389Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 09e3d00f-5102-4e73-ba41-b8638d64e257 · inbound

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

Probing primordial non-Gaussianity by reconstructing the initial conditions Improving constraints on primordial non-Gaussianity using neural network based reconstruction

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T04:54:06.445389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:06.445389Z digest=sha256:32cd62cf64604580be17110ce780d4755db6c1637ee4bdf75f6b5e5cd675d603

Observation 2b50d2e5-a2cd-45c8-8bc5-c1ac263850cf · inbound

DISCO-DJ II: a differentiable particle-mesh code for cosmology cites this paper.

DISCO-DJ II: a differentiable particle-mesh code for cosmology Improving constraints on primordial non-Gaussianity using neural network based reconstruction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T11:25:27.140254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:25:27.140254Z digest=sha256:be0f5f7e1d956a90d451b577189cb671834b11e30fde89de63fb73385b11d7aa

Observation 85d889c4-29f9-4834-93b2-6b0e90c4bfb2 · inbound

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models cites this paper.

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models Improving constraints on primordial non-Gaussianity using neural network based reconstruction

Reference 147

Resolution
metadata mismatch
local_arxiv, observed 2026-07-31T05:31:03.781046Z

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=arxiv_source observed=2026-07-31T05:29:30.094950Z digest=sha256:6b7fe82d241cc4c6534749fffa7be8fc7f04fb140e375224fee2e5ba971d3fab