Pith. sign in

Paper Citation Record · LEDGER

Application of neural network to sign problem via path optimization method

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1709.03208.

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

pith.paper-citation-record.v1
1709.03208 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:08:38.793944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T06:18:05.492266Z

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 6d35e8b7-3161-4222-adf3-9d3766b9f492 · 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 Application of neural network to sign problem via path optimization method

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T11:08:38.793944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:08:38.793944Z digest=sha256:9b6d2f1eda8d472858b2fb578e825d0148bb032047baeb84f7dddca2ac93e39d

Observation 7e889fd4-4f82-4036-8dc2-5707d913414c · inbound

The canonical approach at high temperature revisited cites this paper.

The canonical approach at high temperature revisited Application of neural network to sign problem via path optimization method

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:18:05.493597Z

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=2026-05-20T06:16:07.543615Z digest=sha256:48e624db99e4713b40173db363e0fe9a47d0e40163034759c4112e86fd6477fe

Observation 2a02fdb9-28a3-40b8-adb2-05ea57824211 · inbound

Path optimization method for the sign problem: Insights from random matrix models cites this paper.

Path optimization method for the sign problem: Insights from random matrix models Application of neural network to sign problem via path optimization method

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T22:29:26.565930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:29:26.565930Z digest=sha256:1d42dc3d1cfd3bd7c262d68a9d0c69d9fd53c4880309fc5d1b075314fc6d86dd