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Paper Citation Record · LEDGER

Field Level Neural Network Emulator for Cosmological N-body Simulations

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.04594.

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

pith.paper-citation-record.v1
2206.04594 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:31:03.581301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:27:34.827419Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 8a7e0d5f-05f5-49e2-87c0-0c8a2a42e110 · inbound

Emulating Recombination with Neural Networks using Universal Differential Equations cites this paper.

Emulating Recombination with Neural Networks using Universal Differential Equations Field Level Neural Network Emulator for Cosmological N-body Simulations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:31:03.581301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:31:03.581301Z digest=sha256:b44c703f3a9c4379c81e7e50b70efcf020750461f01fa0f934201e3269cdd05d

Observation 49c983cd-ac07-4c1b-94a8-92fa47be0546 · inbound

Cosmological Simulations of Galaxies cites this paper.

Cosmological Simulations of Galaxies Field Level Neural Network Emulator for Cosmological N-body Simulations

Reference 153

Resolution
unresolved
no resolver link, observed 2026-08-06T18:16:07.575250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:16:07.575250Z digest=sha256:ac6e1ad23c0bf43d71e0b264d5609b27847424cd17bcc63de8ee2bc3be590c4f

Observation 5811e22d-2ac1-43dd-a0fe-15ec9bac13cc · inbound

Seeing Wiggles without Seeing Wiggles: BAO Recovery in 21 cm Intensity Mapping with Deep Learning cites this paper.

Seeing Wiggles without Seeing Wiggles: BAO Recovery in 21 cm Intensity Mapping with Deep Learning Field Level Neural Network Emulator for Cosmological N-body Simulations

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T05:10:24.343990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:10:24.343990Z digest=sha256:51e126b3ea2b301e3d806a49c5769d77d02e600aaf579dd3d528e4425c35a999

Observation ee09786c-04cd-4807-9afe-a62d95fe36cb · inbound

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions cites this paper.

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions Field Level Neural Network Emulator for Cosmological N-body Simulations

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:27:34.828935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T15:22:40.822607Z digest=sha256:656c7c2cbb8ec1432de7aa782a9d70346ade8c51271659d6d7aec38680138d90

Observation 64454c99-0e25-454f-9057-8e2d6e0e6134 · inbound

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks cites this paper.

Cosmo-SPINN: Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks Field Level Neural Network Emulator for Cosmological N-body Simulations

Reference 88

Resolution
unresolved
no resolver link, observed 2026-07-31T02:27:17.053049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T02:27:17.053049Z digest=sha256:7e837e34d93ab6e9e9f4f7bbd402be2fdaf5170f4c6a93b1360f106d6987d497