Paper Citation Record · LEDGER

Empowering deep neural quantum states through efficient optimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.01941.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2302.01941 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:21.638958Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:37:28.538305Z

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 5c8c9242-af50-422e-8e00-871348b0bb88 · inbound

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States cites this paper.

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States Empowering deep neural quantum states through efficient optimization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T11:36:21.638958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d90dd5-954c-414d-9713-061b43487084 · inbound

Looking elsewhere: improving variational Monte Carlo gradients by importance sampling cites this paper.

Looking elsewhere: improving variational Monte Carlo gradients by importance sampling Empowering deep neural quantum states through efficient optimization

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:37:28.542654Z

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 51e44372-746a-4902-b5e5-f8c2bcd45111 · inbound

Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State cites this paper.

Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State Empowering deep neural quantum states through efficient optimization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T18:57:01.596623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa8b88c-7da8-402f-8607-8aeaa20cbc6f · inbound

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers cites this paper.

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers Empowering deep neural quantum states through efficient optimization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T06:09:01.120423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.