Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Autoregressive neural-network wavefunctions for ab initio quantum chemistry
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.12606.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:33:58.283568Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:39:58.293115Z
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 d1f5798a-ed60-42d1-87bb-c9e1bc880d71 · inbound
An Iterative Dual-Channel Neural Quantum State Algorithm for Selected Configuration Interaction cites this paper.
An Iterative Dual-Channel Neural Quantum State Algorithm for Selected Configuration Interaction Autoregressive neural-network wavefunctions for ab initio quantum chemistry
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:39:58.294890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bbaa818d-dfee-4d9f-be21-ac09e9b9bf11 · inbound
Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier cites this paper.
Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier Autoregressive neural-network wavefunctions for ab initio quantum chemistry
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:33:58.283568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.