Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Effective cosmic density field reconstruction with convolutional neural network
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.10538.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:06.382311Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T00:31:19.422201Z
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 939f7a6a-17fe-4192-b72e-690e2c87b238 · inbound
Probing primordial non-Gaussianity by reconstructing the initial conditions cites this paper.
Probing primordial non-Gaussianity by reconstructing the initial conditions Effective cosmic density field reconstruction with convolutional neural network
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:54:06.382311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-15T06:32:42.880941+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.