Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.03229.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:42.197481Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:58:51.356444Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 9cbb362b-d4a7-47ab-a2bd-f2dec312f24c · inbound
Machine-learning approaches to accelerating lattice simulations Mitigating Green's function Monte Carlo signal-to-noise problems using contour deformations
Reference 72
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05426093-15ff-4fcb-bc8d-3a67920b76be · inbound
Path optimization method for the sign problem caused by fermion determinant Mitigating Green's function Monte Carlo signal-to-noise problems using contour deformations
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98be4f62-9996-4feb-9a6a-6d0f0f526989 · inbound
Symmetry-preserving neural networks in lattice field theories Mitigating Green's function Monte Carlo signal-to-noise problems using contour deformations
Reference 35
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.