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Paper Citation Record · LEDGER

Machine learning action parameters in lattice quantum chromodynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1801.05784.

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

pith.paper-citation-record.v1
1801.05784 v1

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 2026-08-09T11:38:41.186519Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:10:58.372248Z

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 a8156289-0d48-49e6-92af-1c6429a05bb8 · inbound

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

Machine-learning approaches to accelerating lattice simulations Machine learning action parameters in lattice quantum chromodynamics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:41.186519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:41.186519Z digest=sha256:37023f7848fd754d6e8ef68aead1c8d40c3c1fcc62adf8ea289078ce430c5cca

Observation e3413906-ae8c-4eec-9fcc-7368e369745b · inbound

Symmetry-preserving neural networks in lattice field theories cites this paper.

Symmetry-preserving neural networks in lattice field theories Machine learning action parameters in lattice quantum chromodynamics

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:32.279658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:32.279658Z digest=sha256:a00d765017e1f5eb92055007e51929b4f0c4b1c56159394cc04ae31949b22c07

Observation 76c52a81-b875-4259-b570-a6558854bc22 · inbound

Testing machine-learned distributions against Monte Carlo data for the QCD chiral phase transition cites this paper.

Testing machine-learned distributions against Monte Carlo data for the QCD chiral phase transition Machine learning action parameters in lattice quantum chromodynamics

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:10:58.377985Z

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=2026-05-11T01:54:10.924145Z digest=sha256:6d9de5874dab70b69454e84e191a1149a37547cf8c6fb26f8be8cf5a2a700e94