Paper Citation Record · LEDGER

Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.05967.

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

pith.paper-citation-record.v1
2503.05967 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:33:58.112122Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:53:24.250390Z

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 3e072562-664f-4879-95a9-c62dec1b39f6 · inbound

Coupled cluster method tailored by quantum selected configuration interaction cites this paper.

Coupled cluster method tailored by quantum selected configuration interaction Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:29.845723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c033cfa1-67f8-4cdc-ad0e-2ffcf2dd5ed8 · inbound

Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction cites this paper.

Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:10:44.790558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f3b8a1d9-4faa-4024-9648-6bc073a48eed · inbound

Towards Chemically Accurate and Scalable Quantum Simulations on IQM Quantum Hardware: A Quantum-HPC Hybrid Approach cites this paper.

Towards Chemically Accurate and Scalable Quantum Simulations on IQM Quantum Hardware: A Quantum-HPC Hybrid Approach Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

Reference 126

Resolution: unresolved; no resolver link, observed 2026-07-15T11:43:16.571305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cdcc09e-8e02-4df8-acee-595fd636e03a · inbound

Filter-assisted quantum subspace diagonalization via wavefunction sparsity engineering cites this paper.

Filter-assisted quantum subspace diagonalization via wavefunction sparsity engineering Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:24.252325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5cc5316-3f72-4823-9594-f5947ce5cce3 · inbound

Machine-Learned Compact Subspace Generation for Quantum Selected Configuration Interaction within Density Matrix Embedding Framework cites this paper.

Machine-Learned Compact Subspace Generation for Quantum Selected Configuration Interaction within Density Matrix Embedding Framework Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T10:50:48.091649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a66ceb3-624d-48fd-b0bd-37e8fe3f9b64 · 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 Enhancing the accuracy and efficiency of sample-based quantum diagonalization with phaseless auxiliary-field quantum Monte Carlo

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T15:33:58.112122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.