Paper Citation Record · LEDGER

Neural-network quantum states for many-body physics

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.11014.

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

pith.paper-citation-record.v1
2402.11014 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:02.677100Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa570663-9182-4bf5-a46f-16265dbd0f8e · 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 Neural-network quantum states for many-body physics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:40.566738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e81eac-4ec0-4408-9ad1-8eb959edad83 · inbound

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations cites this paper.

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations Neural-network quantum states for many-body physics

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T18:37:48.562373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7516a53-ca59-4614-bb93-8e485cd8bfa4 · inbound

Information in Many-body Eigenstates: A Question of Learnability cites this paper.

Information in Many-body Eigenstates: A Question of Learnability Neural-network quantum states for many-body physics

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:38.013713Z

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.

Observation 636c1202-2117-4a47-adfa-3fc6a9ba2710 · inbound

Information in Many-body Eigenstates: A Question of Learnability cites this paper.

Information in Many-body Eigenstates: A Question of Learnability Neural-network quantum states for many-body physics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:57:59.703573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b34081c2-0155-406d-8887-668581783a97 · inbound

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems cites this paper.

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems Neural-network quantum states for many-body physics

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-08T17:23:40.170210Z

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.

Observation 2a78d388-e3e8-4975-84f3-01c594f9e974 · inbound

Neural network quantum states in the grand canonical ensemble cites this paper.

Neural network quantum states in the grand canonical ensemble Neural-network quantum states for many-body physics

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:56.533611Z

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.

Observation 8da633aa-8096-4f5b-8975-583830cae0c5 · inbound

Symmetry Constraints Regularize Neural Quantum State Learning cites this paper.

Symmetry Constraints Regularize Neural Quantum State Learning Neural-network quantum states for many-body physics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:02.677100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.