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Paper Citation Record · LEDGER

Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2011.11214.

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

pith.paper-citation-record.v1
2011.11214 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:37:28.188331Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:47:28.236299Z

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 3554085f-1baf-42b4-bf44-ab2d26f6439c · inbound

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

Looking elsewhere: improving variational Monte Carlo gradients by importance sampling Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:28.188331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:28.188331Z digest=sha256:26fd591abeef94b8a18867dbefc741e938b4ff7085816a5af3a938fcc06bd29c

Observation 9426e4b3-030f-4827-a3c6-ee69a8357ba9 · inbound

Hypernuclei with Neural Network Quantum States cites this paper.

Hypernuclei with Neural Network Quantum States Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T15:06:38.669423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:38.669423Z digest=sha256:011322b199181ce9f3a26f52b26fdac030f3d3cb2815a4d8e8a7d0489afb4c7f

Observation 021ac9e4-a805-4760-a6fd-fe685f532c4c · inbound

Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets cites this paper.

Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:47:28.238828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T06:43:55.123827Z digest=sha256:f6d437e280e09677d80b551e3234bed8e6d59f41edc08ed18f789d58f499d37a

Observation 2d607ce9-e20d-4a7c-a303-c1e772476cd4 · inbound

Medium-mass nuclei with neural quantum states cites this paper.

Medium-mass nuclei with neural quantum states Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-13T04:35:37.457654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:35:37.457654Z digest=sha256:a15627fc45288183495f1de6c84de16080050162e98b4dbde0a440e6d8c8b909