Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.12511.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:25:28.655317Z
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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- 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 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 2026-08-09T06:31:02.800959+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.