Paper Citation Record · LEDGER

Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.06785.

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

pith.paper-citation-record.v1
2307.06785 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:41.833265Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:55:53.916158Z

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 cf51bdf2-b882-41b3-b860-17e2724e2827 · inbound

Machine-learning approaches to accelerating lattice simulations cites this paper.

Machine-learning approaches to accelerating lattice simulations Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T11:38:41.833265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938d19eb-8d2a-4c5e-98c1-b6e831977d9b · inbound

Exploring Group Convolutional Networks for Sign Problem Mitigation via Contour Deformation cites this paper.

Exploring Group Convolutional Networks for Sign Problem Mitigation via Contour Deformation Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T23:33:39.678420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428bd4f5-a452-4e44-84bc-dad6f8814c4b · inbound

Applying the Worldvolume Hybrid Monte Carlo method to the Hubbard model away from half filling cites this paper.

Applying the Worldvolume Hybrid Monte Carlo method to the Hubbard model away from half filling Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:11:59.153619Z

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 c2213ffd-12cf-4cfb-9c33-ead249f773ba · inbound

Analyzing the two-dimensional doped Hubbard model with the Worldvolume HMC method cites this paper.

Analyzing the two-dimensional doped Hubbard model with the Worldvolume HMC method Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:09:43.773691Z

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.