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Paper Citation Record · LEDGER

A deep learning model to emulate simulations of cosmic reionization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1905.06958.

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

pith.paper-citation-record.v1
1905.06958 v2

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:27.661622Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:48:13.967299Z

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 fbec739c-52be-4e95-aba1-bbb8c7fd972c · inbound

Cosmological parameter estimation from large-scale structure deep learning cites this paper.

Cosmological parameter estimation from large-scale structure deep learning A deep learning model to emulate simulations of cosmic reionization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:27.661622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:27.661622Z digest=sha256:746d29b7d26ba767434f8f4cb7cd678da84b6e5a8216b586504b1e4b39c4078c

Observation 6d9541d1-d9a5-463a-acd1-62cf0fc29c84 · inbound

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution cites this paper.

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution A deep learning model to emulate simulations of cosmic reionization

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T18:48:42.148922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:48:42.148922Z digest=sha256:63168c806d357be1ace08d71cf896e951dc2294b206a76d011b35b638fe99eb5

Observation 6f104b59-e9ff-42dc-8aef-45c2f628ef2f · inbound

Deep Needlet: A CNN based full sky component separation method in Needlet space cites this paper.

Deep Needlet: A CNN based full sky component separation method in Needlet space A deep learning model to emulate simulations of cosmic reionization

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:48:14.013836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T20:48:07.096292Z digest=sha256:df56548db2c84655d6d9ed8b11115c6d0d90ad27e2b2e21e0a6e697115592ade

Observation 30f93f23-7d7b-432d-8274-d5cdba95b926 · inbound

CosmoUiT: A Vision Transformer-UNet Hybrid for Fast and Accurate Emulation of 21-cm Maps from the Epoch of Reionization cites this paper.

CosmoUiT: A Vision Transformer-UNet Hybrid for Fast and Accurate Emulation of 21-cm Maps from the Epoch of Reionization A deep learning model to emulate simulations of cosmic reionization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T13:15:32.187057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:15:32.187057Z digest=sha256:ee9ce7d3eb6bee6b6d6282695fce75a8045c6523b73e2331244d73198f033278