Paper Citation Record · LEDGER

Effective cosmic density field reconstruction with convolutional neural network

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.10538.

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

pith.paper-citation-record.v1
2306.10538 v1

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:27:21.951729Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:31:19.422201Z

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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 1cd9a077-7481-47fe-8bc8-accd1a748683 · inbound

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation cites this paper.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Effective cosmic density field reconstruction with convolutional neural network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T23:38:16.512394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e4a4a7-63cc-448f-be0c-17c2697b9977 · inbound

The Linear Point Standard Ruler with DESI DR1 and DR2 Data cites this paper.

The Linear Point Standard Ruler with DESI DR1 and DR2 Data Effective cosmic density field reconstruction with convolutional neural network

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T06:27:21.951729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9c3501d-81d6-4a2f-976b-886de237e49b · inbound

On the Relation Between Field-Level Posteriors, Correlators, and their Likelihoods cites this paper.

On the Relation Between Field-Level Posteriors, Correlators, and their Likelihoods Effective cosmic density field reconstruction with convolutional neural network

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:31:19.426083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7dc32f3-3cc2-4232-bf66-8370bde9ff97 · inbound

Standard Reconstruction Shifts the Optimal Input Scale for CNN-Based Density-Field Reconstruction cites this paper.

Standard Reconstruction Shifts the Optimal Input Scale for CNN-Based Density-Field Reconstruction Effective cosmic density field reconstruction with convolutional neural network

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T22:12:37.125654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.