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Paper Citation Record · LEDGER

A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.19064.

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

pith.paper-citation-record.v1
2305.19064 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 2026-08-04T15:51:52.133711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:25:47.908005Z

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 81d884b5-e6ed-49f4-ad4d-d9c954f48f37 · inbound

Small-scale Lyman alpha forest cosmology with PRIYA: Constraints from XQ100 and KODIAQ-SQUAD one-dimensional flux power spectra cites this paper.

Small-scale Lyman alpha forest cosmology with PRIYA: Constraints from XQ100 and KODIAQ-SQUAD one-dimensional flux power spectra A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T15:51:52.133711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:51:52.133711Z digest=sha256:2dd481c829438c080481cfba47f1459e9be025bbd09c2212a16d58c380c730ce

Observation 08e24816-1b7f-429d-bc10-f6fcb0ef3dde · inbound

Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum cites this paper.

Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:07:43.833682Z

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.

source=pdf_text observed=2026-05-16T10:03:09.666511Z digest=sha256:84a260742df9856d9fde437ea8e77a81ba63b8775c1a7b10bfccb6f59f0d07ac

Observation a19e196b-bf34-461c-806b-4923161bbfb0 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

Reference 287

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:06:01.684021Z

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.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:5f4aa8daa2b7c7d1dcb95ca93ee5c06da9828a43cb67ca068feae2a5d0db4113

Observation 93680f75-97da-4554-b35f-9bd38c2b48b5 · inbound

Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest cites this paper.

Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

Reference 115

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:25:47.910052Z

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.

source=pdf_text observed=2026-06-30T01:34:51.681907Z digest=sha256:851f6b45ee426f3f23633ee493ea3fd7625135029aa6b95d97bceba03cd1d23f

Observation 04b32e23-e24b-4ec0-aa3d-a8f15765c087 · inbound

Uncertainty-Aware Deep Learning for the Ly$\alpha$ Forest: CNN-Based Absorber Detection and Characterization cites this paper.

Uncertainty-Aware Deep Learning for the Ly$\alpha$ Forest: CNN-Based Absorber Detection and Characterization A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-11T06:51:29.075290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:51:29.075290Z digest=sha256:a84b5e9e53ac6a7f327363b4429f67cf73bc3d227ee8d6c14357fc872c9908c5

Observation ebeae8df-d8bc-4880-b2a5-7c77d88089c9 · inbound

Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements cites this paper.

Lyman-$\alpha$ forest holography: 3D predictions from 1D measurements A neural network emulator for the Lyman-$\alpha$ 1D flux power spectrum

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T07:50:44.919318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:50:44.919318Z digest=sha256:ab897af1cde0ed646c5356b19e899b6eaf0653acaeb9f7667d02f167f3e471f0