Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantum-Inspired Machine Learning for Molecular Docking
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.12999.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T21:51:10.181369Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T10:14:35.941345Z
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 ebf5b599-15a3-4c2a-a418-400e526e052b · inbound
Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding cites this paper.
Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding Quantum-Inspired Machine Learning for Molecular Docking
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T10:14:35.942805Z
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.
Observation 36af48a4-ba89-4d54-8ba4-a4dcc64c66a4 · inbound
iSTAR: an algebraic-collapse framework for variational reduction in quantum-inspired continuous Ising solvers cites this paper.
iSTAR: an algebraic-collapse framework for variational reduction in quantum-inspired continuous Ising solvers Quantum-Inspired Machine Learning for Molecular Docking
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T21:51:10.181369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.