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Paper Citation Record · LEDGER

Machine Learning Estimators for Lattice QCD Observables

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.05971.

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

pith.paper-citation-record.v1
1807.05971 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:34:38.994980Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T18:55:10.420627Z

Reference resolution

0 of 0 outbound references displayed

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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 9db567dc-e176-4383-80e1-d2f422a38737 · inbound

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression cites this paper.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Machine Learning Estimators for Lattice QCD Observables

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:34:38.994980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:34:38.994980Z digest=sha256:507d28dfe3ad6cbac2e9e4dea6dc8617fa8091f471b12a97b77c12f9d721e77d

Observation a0eec3ff-4038-4787-8bf0-2c6c4feb8ee8 · inbound

Using AI for Efficient Statistical Inference of Lattice Correlators Across Mass Parameters cites this paper.

Using AI for Efficient Statistical Inference of Lattice Correlators Across Mass Parameters Machine Learning Estimators for Lattice QCD Observables

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:39.781205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:21:39.781205Z digest=sha256:0f6cec95be9de0c84d2daa5fc8b0a18e2ecd23f0386c734ed43f56d5d3811df0

Observation 3f41b629-2d4d-40d3-b327-758e31777808 · inbound

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

Machine-learning approaches to accelerating lattice simulations Machine Learning Estimators for Lattice QCD Observables

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:42.383295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:42.383295Z digest=sha256:cd49823517fa2118b1526d5f00ed704237b8ebff6b9008b61da48574950a3c07

Observation 597d2676-ca72-4d4c-8355-a52f0d9dd296 · inbound

Machine-learning techniques as noise reduction strategies in lattice calculations of the muon $g-2$ cites this paper.

Machine-learning techniques as noise reduction strategies in lattice calculations of the muon $g-2$ Machine Learning Estimators for Lattice QCD Observables

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T18:55:10.425017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T18:55:10.288185Z digest=sha256:13bf8d4bfa16c3e6899996201a92eb46d006e6981150b4b07c0eda8ddb1cf2ca

Observation bb8490f1-d5db-4218-9a18-9b53344447fc · inbound

Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl cites this paper.

Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl Machine Learning Estimators for Lattice QCD Observables

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T21:04:08.068801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:04:08.068801Z digest=sha256:a26002d3f2562050752b0108094ff1fa484b142243bea55581a5f874c1edde54