Paper Citation Record · LEDGER

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2605.31482.

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

pith.paper-citation-record.v1
2605.31482 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:42:33.450340Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T10:42:20.455498Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact13
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3626561-b4f2-46c8-869b-55a924198f34 · outbound

This paper cites New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T20:06:11.730203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2450ce0-ecd5-4b9a-94d1-9e024ce34de3 · outbound

This paper cites Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.763774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b545696a-4830-4b72-abec-a8dae0f0fb1e · outbound

This paper cites Towards a new generation of parton densities with deep learning models.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Towards a new generation of parton densities with deep learning models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.747596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66f81fef-c95f-4e90-bb8e-cf82902798dd · outbound

This paper cites Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.750162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d21e03a-a1c6-414d-acfd-b10e8ca406c5 · outbound

This paper cites Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.759033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15b2c302-3332-41fe-95fd-3ba4e2317c74 · outbound

This paper cites Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.756165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 680730d4-36c0-42f9-874a-d270c2a7b2ed · outbound

This paper cites A critical study of the Monte Carlo replica method.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model A critical study of the Monte Carlo replica method

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.766032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48575138-41d5-42a3-8497-0a92c9af7622 · outbound

This paper cites Study of Monte Carlo approach to experimental uncertainty propagation with MSTW 2008 PDFs.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Study of Monte Carlo approach to experimental uncertainty propagation with MSTW 2008 PDFs

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T20:06:11.733525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56bfcc39-68ca-4f86-880b-7df3580e666c · outbound

This paper cites A Stress Test of Global PDF Fits: Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model A Stress Test of Global PDF Fits: Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.738736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 611c3ba5-dc50-4a4e-a365-15e60beb13bd · outbound

This paper cites Medrano, H.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Medrano, H

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.753448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ff36510-d20d-482b-93eb-5e7179d83c9d · outbound

This paper cites Rasmussen and C.K.I.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Rasmussen and C.K.I

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T21:42:33.450340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b232565b-075b-472f-9d53-27d6273e74f8 · outbound

This paper cites An open-source machine learning framework for global analyses of parton distributions.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model An open-source machine learning framework for global analyses of parton distributions

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.761551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f21337b6-455c-4b82-aad0-eb428836fc47 · outbound

This paper cites Cridge, J.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Cridge, J

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.741881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4df610a1-72f0-44a5-9ccd-2c4ec496c679 · outbound

This paper cites Assessing the Impact of Fitting Methodology at aN$^3$LO with FPPDF: an Open Source Tool for Extracting Parton Distribution Functions in the Hessian Approach.

Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model Assessing the Impact of Fitting Methodology at aN$^3$LO with FPPDF: an Open Source Tool for Extracting Parton Distribution Functions in the Hessian Approach

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-29T02:24:14.969519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 91707e2b-cbe5-456d-a024-6e5cdc6124ef · inbound

Interpreting Parton Distributions with Shapley Values cites this paper.

Interpreting Parton Distributions with Shapley Values Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T07:57:20.566670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86596541-d105-41b6-81e8-21393ae6236e · inbound

Global analyses of helicity-dependent parton distribution functions cites this paper.

Global analyses of helicity-dependent parton distribution functions Hyperoptimisation algorithm for the next generation of PDF determinations: ensemble regression with an unbiased selection model

Reference 127

Resolution: unresolved; no resolver link, observed 2026-07-31T10:42:20.455498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.