Paper Citation Record · LEDGER

Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2207.12511.

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

pith.paper-citation-record.v1
2207.12511 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:06.386879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:31:19.703195Z

Reference resolution

0 of 0 outbound references displayed

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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 fc34ff82-5e67-4c18-9e2c-7d9889d50cac · inbound

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

Probing primordial non-Gaussianity by reconstructing the initial conditions Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:06.386879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 373cefd7-f549-49e2-814f-1faa9ea8092d · inbound

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

DISCO-DJ II: a differentiable particle-mesh code for cosmology Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T11:25:28.655317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc792777-78e4-4058-83d6-74b1a561121c · inbound

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

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T23:38:16.444472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 480ab389-2af9-47b8-8594-13d5fb0ff97e · 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 Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T06:27:22.038477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2165150b-67fd-463e-9512-a39c41833082 · 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 Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:31:19.707397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b09de8b-2bf2-4917-9ef5-23b1920bccb6 · 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 Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:12:35.451394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.