Pith. sign in

Paper Citation Record · LEDGER

Mitigating a discrete sign problem with extreme learning machines

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.12636.

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

pith.paper-citation-record.v1
2312.12636 v1

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 2026-08-09T11:38:42.357356Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:13:36.330947Z

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 17dbd37e-f2f5-4ad3-a9ca-62f3a3cad605 · inbound

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

Machine-learning approaches to accelerating lattice simulations Mitigating a discrete sign problem with extreme learning machines

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:42.357356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:42.357356Z digest=sha256:dae009a5a206471f00193628e4fb8fb5184a95607bbb12451cd820ce6b4d6d18

Observation 6327bd32-1b4e-44dd-81fb-833e0f49797e · inbound

Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem cites this paper.

Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem Mitigating a discrete sign problem with extreme learning machines

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:13:36.332212Z

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=2026-06-29T15:52:59.293996Z digest=sha256:2a08e2d7aa224b2696ddea934ea2d7276681086ccc4d9aa563fa2b7a82a647e4