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Paper Citation Record · LEDGER

Propagating data noise through the fit: the Monte Carlo replica distribution

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.28492.

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

pith.paper-citation-record.v1
2606.28492 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:13:30.440787Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact23
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7e1a301-d96d-4051-8a08-da3bdf79ca11 · outbound

This paper cites Neural Network Parametrization of Deep-Inelastic Structure Functions.

Propagating data noise through the fit: the Monte Carlo replica distribution Neural Network Parametrization of Deep-Inelastic Structure Functions

Reference 1

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local_arxiv, observed 2026-07-01T15:45:47.901680Z

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Observation 01a7ff50-3749-47c3-8187-ec9c828a7cf5 · outbound

This paper cites A first unbiased global NLO determination of parton distributions and their uncertainties.

Propagating data noise through the fit: the Monte Carlo replica distribution A first unbiased global NLO determination of parton distributions and their uncertainties

Reference 2

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local_arxiv, observed 2026-07-01T15:45:47.882345Z

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Observation 28c5c53a-29be-4c43-96c2-8021b45ad1b5 · outbound

This paper cites Parton distributions with LHC data.

Propagating data noise through the fit: the Monte Carlo replica distribution Parton distributions with LHC data

Reference 3

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local_arxiv, observed 2026-07-01T15:45:47.912679Z

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Observation 3d694417-7bfd-41eb-b7bd-7daca8e0d3b0 · outbound

This paper cites Parton distributions for the LHC Run II.

Propagating data noise through the fit: the Monte Carlo replica distribution Parton distributions for the LHC Run II

Reference 4

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local_arxiv, observed 2026-07-01T15:45:47.915244Z

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Observation d285dfe7-0fda-4441-9171-080845b594b8 · outbound

This paper cites On the resolution of the sign of gluon polarization in the proton.

Propagating data noise through the fit: the Monte Carlo replica distribution On the resolution of the sign of gluon polarization in the proton

Reference 5

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arxiv_id, observed 2026-07-01T15:45:47.929662Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2ef85457-6e06-4bca-a508-8d99b7ea537a · outbound

This paper cites Parton distributions need representative sampling.

Propagating data noise through the fit: the Monte Carlo replica distribution Parton distributions need representative sampling

Reference 6

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arxiv_id, observed 2026-07-01T15:45:47.888006Z

Source-reported events for the cited work

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Observation f6c62896-a3bd-4480-9cb8-aa32324b40de · outbound

This paper cites SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories.

Propagating data noise through the fit: the Monte Carlo replica distribution SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories

Reference 7

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arxiv_id, observed 2026-07-01T15:45:47.885423Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4df187bf-0d3a-4e20-bb39-c95eac5c023c · outbound

This paper cites SMEFT analysis of vector boson scattering and diboson data from the LHC Run II.

Propagating data noise through the fit: the Monte Carlo replica distribution SMEFT analysis of vector boson scattering and diboson data from the LHC Run II

Reference 8

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arxiv_id, observed 2026-07-01T15:45:47.906905Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0232ec34-d6ac-45ce-a208-6e4e28d819a6 · outbound

This paper cites A Monte Carlo global analysis of the Standard Model Effective Field Theory: the top quark sector.

Propagating data noise through the fit: the Monte Carlo replica distribution A Monte Carlo global analysis of the Standard Model Effective Field Theory: the top quark sector

Reference 9

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local_arxiv, observed 2026-07-01T15:45:47.923098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4c0dfb15-4696-42e9-b6ad-6ad39a18e0e9 · outbound

This paper cites The Gauge-Higgs Legacy of the LHC Run II.

Propagating data noise through the fit: the Monte Carlo replica distribution The Gauge-Higgs Legacy of the LHC Run II

Reference 10

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local_arxiv, observed 2026-07-01T15:45:47.873917Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dae5688a-3945-40fb-b0f8-855a78064c0a · outbound

This paper cites Can New Physics hide inside the proton?.

Propagating data noise through the fit: the Monte Carlo replica distribution Can New Physics hide inside the proton?

Reference 11

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arxiv_id, observed 2026-07-01T15:45:47.904160Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 60575e1b-57cf-403b-8778-4f59adfcb97c · outbound

This paper cites Parton distributions in the SMEFT from high-energy Drell-Yan tails.

Propagating data noise through the fit: the Monte Carlo replica distribution Parton distributions in the SMEFT from high-energy Drell-Yan tails

Reference 12

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arxiv_id, observed 2026-07-01T15:45:47.917888Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d5460668-2d74-4f87-b7fb-f32aea2dced0 · outbound

This paper cites A new generation of simultaneous fits to LHC data using deep learning.

Propagating data noise through the fit: the Monte Carlo replica distribution A new generation of simultaneous fits to LHC data using deep learning

Reference 13

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arxiv_id, observed 2026-07-01T15:45:47.879550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 173b6a0b-7d19-4af9-a298-5cd1a6497a07 · outbound

This paper cites The top quark legacy of the LHC Run II for PDF and SMEFT analyses.

Propagating data noise through the fit: the Monte Carlo replica distribution The top quark legacy of the LHC Run II for PDF and SMEFT analyses

Reference 14

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arxiv_id, observed 2026-07-01T15:45:47.920566Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ab59857e-b970-4158-b74a-28c39ba81a06 · outbound

This paper cites Hide and seek: how PDFs can conceal New Physics.

Propagating data noise through the fit: the Monte Carlo replica distribution Hide and seek: how PDFs can conceal New Physics

Reference 15

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arxiv_id, observed 2026-07-01T15:45:47.910229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6f6ddfb8-c49b-4b8d-b30d-c141cc432a65 · outbound

This paper cites SIMUnet: an open-source tool for simultaneous global fits of EFT Wilson coefficients and PDFs.

Propagating data noise through the fit: the Monte Carlo replica distribution SIMUnet: an open-source tool for simultaneous global fits of EFT Wilson coefficients and PDFs

Reference 16

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arxiv_id, observed 2026-07-01T15:45:47.887488Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c82f022c-76d7-406c-8b31-446ab4061908 · outbound

This paper cites Tailored PDFs for New Physics searches.

Propagating data noise through the fit: the Monte Carlo replica distribution Tailored PDFs for New Physics searches

Reference 17

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arxiv_id, observed 2026-07-20T02:18:26.203752Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2858b6b5-1195-4812-be3b-f95670ccb356 · outbound

This paper cites an unresolved cited work.

Propagating data noise through the fit: the Monte Carlo replica distribution Unresolved cited work

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d43b3938-1a5c-4a7d-b4b7-ce55c1afa44b · outbound

This paper cites Efron,Bayesian inference and the parametric bootstrap,The Annals of Applied Statistics6 (Dec., 2012).

Propagating data noise through the fit: the Monte Carlo replica distribution Efron,Bayesian inference and the parametric bootstrap,The Annals of Applied Statistics6 (Dec., 2012)

Reference 19

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no resolver link, observed 2026-06-30T01:13:30.440787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f779bbc5-13b1-46f1-b830-0e13bef4753d · outbound

This paper cites Randomized Prior Functions for Deep Reinforcement Learning.

Propagating data noise through the fit: the Monte Carlo replica distribution Randomized Prior Functions for Deep Reinforcement Learning

Reference 20

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local_arxiv, observed 2026-07-01T15:45:47.871466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dbe8cc89-8da2-4e81-80ff-195e3924d6fd · outbound

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

Propagating data noise through the fit: the Monte Carlo replica distribution A critical study of the Monte Carlo replica method

Reference 21

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arxiv_id, observed 2026-07-01T15:45:47.890779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 168bf73a-ebca-42ae-b76d-ebfa3e1f856f · outbound

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

Propagating data noise through the fit: the Monte Carlo replica distribution Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing

Reference 22

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arxiv_id, observed 2026-07-01T15:45:47.899065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 75f330db-f58a-4113-b1a3-ffff18273631 · outbound

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

Propagating data noise through the fit: the Monte Carlo replica distribution Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 23

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arxiv_id, observed 2026-07-01T15:45:47.926494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f6db263c-e334-4796-bdd4-e547a8316b77 · outbound

This paper cites A linear PDF model for Bayesian inference.

Propagating data noise through the fit: the Monte Carlo replica distribution A linear PDF model for Bayesian inference

Reference 24

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local_arxiv, observed 2026-07-01T15:45:47.876793Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9daa4f17-99c3-40f9-90fa-d6023d5d65d6 · outbound

This paper cites an unresolved cited work.

Propagating data noise through the fit: the Monte Carlo replica distribution Unresolved cited work

Reference 25

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arxiv_id, observed 2026-07-01T15:45:47.932811Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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