Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural network emulator to constrain the high-$z$ IGM thermal state from Lyman-$\alpha$ forest flux auto-correlation function
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.06505.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T15:51:52.142447Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T04:06:01.860561Z
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 ffa9533c-8012-4ac4-a2bc-1e61b3657934 · 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 Neural network emulator to constrain the high-$z$ IGM thermal state from Lyman-$\alpha$ forest flux auto-correlation function
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:51:52.142447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54a87a58-b524-4e6a-97da-b578bce50681 · inbound
Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.
Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Neural network emulator to constrain the high-$z$ IGM thermal state from Lyman-$\alpha$ forest flux auto-correlation function
Reference 291
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T04:06:01.863529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.