Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.03714.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:19:31.586583Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T13:56:55.477951Z
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 45360463-9c1a-4482-844c-c81cdc24d7fc · inbound
A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography cites this paper.
A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T13:56:55.484538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation abe6ce4f-c2e8-4611-9d1a-5ea0052f5f34 · inbound
A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography cites this paper.
A Design Space Study of Density Matrix Parameterizations for Diffusion-Based Quantum State Tomography A joint Bayesian hierarchical model for estimating SARS-CoV-2 diagnostic and subgenomic RNA viral dynamics and seroconversion
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:19:31.586583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.