Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Specialising Neural-network Quantum States for the Bose Hubbard Model
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.15424.
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 2026-08-11T14:12:40.818723Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T14:12:42.797999Z
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 beb3cf8c-f5cd-41dc-8c8d-e266f7ca21cb · inbound
Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications cites this paper.
Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications Specialising Neural-network Quantum States for the Bose Hubbard Model
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T14:12:42.805885Z
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.