Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.06087.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:28:27.216234Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:40:08.866148Z
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 af2185f9-f81b-409d-8a58-df1bf0fe489f · inbound
Neural Wave Functions for High-Pressure Atomic Hydrogen cites this paper.
Neural Wave Functions for High-Pressure Atomic Hydrogen Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T20:12:03.624275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 438db3e9-44db-425d-9c5c-e08e89686790 · inbound
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking cites this paper.
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:28:27.216234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e0e94f5-f6ae-4398-831e-ae48c65b87f1 · inbound
A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms cites this paper.
A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:49:00.437542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0c2135e-aeac-4b0a-8400-102d70a5a242 · inbound
Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions cites this paper.
Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:36:15.041548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c3317677-3984-43e0-a577-02171e2292d0 · inbound
Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization cites this paper.
Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:40:08.868850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b7553319-cc2f-4079-a3e0-da96db8fada1 · inbound
Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization cites this paper.
Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:19:10.430439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.