Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.07090.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:34:40.916064Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-12T01:18:30.753416Z
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 d0ba70e3-6764-40fb-a774-e33a3637d5d7 · inbound
Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum cites this paper.
Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:34:40.916064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09ff190c-fe27-4587-b22d-cda01d9fd2a5 · inbound
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization cites this paper.
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior
Reference 234
- Resolution
- verified exact
- local_arxiv, observed 2026-07-12T01:18:30.756643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.