Pith. sign in

Paper Citation Record · LEDGER

Gauge invariant input to neural network for path optimization method

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.11710.

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

pith.paper-citation-record.v1
2109.11710 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:42.131486Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T11:08:41.198301Z

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 ee902b08-a882-45c6-825c-f677c853fd1c · inbound

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

Machine-learning approaches to accelerating lattice simulations Gauge invariant input to neural network for path optimization method

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:42.131486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:42.131486Z digest=sha256:ec0c1d92394c2a2d97dc62ca4c83fce75e393e971f845661e3bcd5e35561759a

Observation 1ad77a0d-14e7-489e-adcb-2db05e7f6c77 · inbound

Path optimization method for the sign problem caused by fermion determinant cites this paper.

Path optimization method for the sign problem caused by fermion determinant Gauge invariant input to neural network for path optimization method

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-09T11:08:41.202019Z

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.

source=pdf_text observed=2026-08-09T11:08:39.284973Z digest=sha256:41bc19c8c64a6520d433f8be2834c2c65dd7487179189dbe033262f68956c01e