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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2411.18170.

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

pith.paper-citation-record.v1
2411.18170 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:34:39.021347Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:06:54.290219Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec752507-a835-4915-a4d0-756ff886f277 · outbound

This paper cites Stochastic Estimation with $Z_2$ Noise.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Stochastic Estimation with $Z_2$ Noise

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T11:34:38.979455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f250ad4b-59e9-4e0c-9378-1897405a281a · outbound

This paper cites Duane and J.B.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Duane and J.B

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:34:39.211793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e2e7297a-18c7-4f6f-941f-91d9df8c653e · outbound

This paper cites Duane and J.B.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Duane and J.B

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:34:39.204035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T11:34:38.986235Z digest=sha256:f97859a5b8b33c3a9bde0df06b197513d92606d5f08dc5f76c140e4338e45cbc

Observation 57362ec6-1894-4190-802c-16926af2904a · outbound

This paper cites Duane, A.D.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Duane, A.D

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:34:39.197174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T11:34:38.989039Z digest=sha256:24856070964e8b215905b6472a8c62ae6847e8bd556108a684026b9a51e69c32

Observation 9691eb3c-6bca-4f5a-9516-18c026bd2434 · outbound

This paper cites Friedman,Greedy function approximation: A gradient boosting machine., The Annals of Statistics29(2001) 1189.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Friedman,Greedy function approximation: A gradient boosting machine., The Annals of Statistics29(2001) 1189

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:34:39.189883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T11:34:38.991825Z digest=sha256:0137d97a5fe261eb44e621e6a3d3740fb41389a8c504d5d5e964532ff0865a7b

Observation 9db567dc-e176-4383-80e1-d2f422a38737 · outbound

This paper cites Machine Learning Estimators for Lattice QCD Observables.

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=sha256:0cd0775e7e1ecd2cd67d96e64c3c6ffe0c98bfaedaff21cf180affde303b0bab

Observation 9cedee0d-8860-4b4a-8e2c-2a5b13acc428 · outbound

This paper cites Machine learning mapping of lattice correlated data.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Machine learning mapping of lattice correlated data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T11:34:38.997908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:34:38.997908Z digest=sha256:288a7d5da2b362b8a7ea191200af73cb306b3a51ab93af109ac2c5ae43c93633

Observation 234aa49f-1dbc-45dc-a9bb-12226490b252 · outbound

This paper cites Continuum extrapolation of the critical endpoint in 4-flavor QCD with Wilson-Clover fermions.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Continuum extrapolation of the critical endpoint in 4-flavor QCD with Wilson-Clover fermions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T11:34:39.000598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:34:39.000598Z digest=sha256:cc6dbc09184a980af60f7558917b4fd602097e68178bfc448650272bbfbae8a1

Observation d28b2dac-96d9-48ea-910d-905daf7eae23 · outbound

This paper cites Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:34:39.065116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9b3d4106-9efe-4e71-8306-88c29424e1f2 · outbound

This paper cites BQCD - Berlin quantum chromodynamics program.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression BQCD - Berlin quantum chromodynamics program

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:34:39.052690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a95ddda7-5164-4546-a3cb-94c80a06410c · outbound

This paper cites Sheikholeslami and R.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Sheikholeslami and R

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T11:34:39.009029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:34:39.009029Z digest=sha256:3491b52ccaa15b9c3a4b5130e2540c70f8dc3d66c312f9a2d7534faab812db86

Observation cfa1e58b-86b9-43ab-81c5-c9004ae537a2 · outbound

This paper cites Iwasaki,Renormalization group analysis of lattice theories and improved lattice action: Two-dimensional non-linear O(N) sigma model, Nucl.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Iwasaki,Renormalization group analysis of lattice theories and improved lattice action: Two-dimensional non-linear O(N) sigma model, Nucl

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:34:39.178775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ae790769-5e3f-4c08-9dda-613f1d2f8aaa · outbound

This paper cites Renormalization Group Analysis of Lattice Theories and Improved Lattice Action. II -- four-dimensional non-abelian SU(N) gauge model.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Renormalization Group Analysis of Lattice Theories and Improved Lattice Action. II -- four-dimensional non-abelian SU(N) gauge model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T11:34:39.015103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:34:39.015103Z digest=sha256:c16f70a2a3b3bc2002dfd70a72febf9ebeea237076587148aeb9d85abab6f2f3

Observation 8d4100ed-c0c0-425a-ac11-e6747a195238 · outbound

This paper cites an unresolved cited work.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:34:39.170370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2b7e6c9c-b33d-4cb5-9244-6d7387264511 · outbound

This paper cites Blaom, F.

Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression Blaom, F

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:34:39.097003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T11:34:39.021347Z digest=sha256:873983c544627e71b486567d53481136d0ad4a74867ce386074fae20fa71768d

Pith citing papers

Observation 70ae9d4a-433a-431f-9227-450cb23b95d2 · inbound

Investigating the axial structure of the nucleon based on large-volume lattice QCD at the physical point cites this paper.

Investigating the axial structure of the nucleon based on large-volume lattice QCD at the physical point Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:06:54.290219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:06:54.290219Z digest=sha256:91b3e46a5d317f912a9dfe960a219bb306e7d6bd1b77d3fb443f5ba19ab48466

Observation c33c774e-200d-48b6-9ea1-6ba74eb86067 · 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 Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T21:04:08.699798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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