Paper Citation Record · LEDGER

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2604.09638.

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pith.paper-citation-record.v1
2604.09638 v2

Coverage vector

measured 34 of 34 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation 39e914dc-395b-4f17-be61-322faa5bb653 · outbound

This paper cites Deterministic and stochastic models for coalescence (aggregation and coagulation): A review of the mean-field theory for probabilists.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Deterministic and stochastic models for coalescence (aggregation and coagulation): A review of the mean-field theory for probabilists

Reference 1

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This paper cites Linear and Quasilinear Parabolic Problems.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Linear and Quasilinear Parabolic Problems

Reference 2

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This paper cites Nonclassical contact symmetries and Charpit’s method of compatibility.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Nonclassical contact symmetries and Charpit’s method of compatibility

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This paper cites A robust upscaling of the effective particle deposition rate in porous media.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R A robust upscaling of the effective particle deposition rate in porous media

Reference 4

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This paper cites Colloidal soft matter as drug delivery system.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Colloidal soft matter as drug delivery system

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This paper cites Sedimentation and transport of different soil colloids: Effects of Goethite and humic acid.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Sedimentation and transport of different soil colloids: Effects of Goethite and humic acid

Reference 6

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This paper cites Two-scale phase-transition models with evolving microstruc- tures: analysis and computation.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Two-scale phase-transition models with evolving microstruc- tures: analysis and computation

Reference 7

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This paper cites Thermo-elasticity problems with evolving microstructures.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Thermo-elasticity problems with evolving microstructures

Reference 8

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This paper cites A multiscale quasilinear system for colloids deposition in porous media: weak solvability and numerical simulation of a near-clogging scenario.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R A multiscale quasilinear system for colloids deposition in porous media: weak solvability and numerical simulation of a near-clogging scenario

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This paper cites Geometric Measure Theory,.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Geometric Measure Theory,

Reference 10

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This paper cites Modeling and analysis of mechanical effects induced by salt crystallization in porous building materials: a two-scale approach.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Modeling and analysis of mechanical effects induced by salt crystallization in porous building materials: a two-scale approach

Reference 11

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This paper cites Population balance for aggregation coupled with morphology changes.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Population balance for aggregation coupled with morphology changes

Reference 12

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This paper cites The mechanisms of gravity-constrained aggregation in natural colloidal suspensions.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R The mechanisms of gravity-constrained aggregation in natural colloidal suspensions

Reference 13

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This paper cites New development in FreeFem++.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R New development in FreeFem++

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This paper cites Multiphase Flow and Transport Processes in the Subsurface : A Contribution to the Modeling of Hydrosystems.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Multiphase Flow and Transport Processes in the Subsurface : A Contribution to the Modeling of Hydrosystems

Reference 15

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This paper cites Research progress on numerical models for self-healing cementitious materials.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Research progress on numerical models for self-healing cementitious materials

Reference 16

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This paper cites Dynamics of colloid deposition in porous media:Blocking based on random sequential adsorption.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Dynamics of colloid deposition in porous media:Blocking based on random sequential adsorption

Reference 17

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Observation 144d858a-b85a-4b95-a5ed-38d71e19f64f · outbound

This paper cites Multiscale modeling of colloidal dynamics in porous media in- cluding aggregation and deposition.

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Multiscale modeling of colloidal dynamics in porous media in- cluding aggregation and deposition

Reference 18

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Population balance modeling of aggregation and coalescence in colloidal systems

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R An Lp-estimate for the gradient of solutions of second order elliptic divergence equations

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Colloidal transport in locally periodic evolving porous media—An up- scaling exercise

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Multiscale simulation of colloids ingressing porous layers with evolving internal structure

Reference 22

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Macroscopic models for calcium carbonate corrosion due to sulfation. Variation of diffusion and volume expansion

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Boundary regularity for the distance functions, and the Eikonal equation,

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Applied Partial Differential Equations

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Multiscale computational homogenization: Review and proposal of a new enhanced-first-order method

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R The influence of porous-medium microstructure on filtration,

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Drug release from collagen matrices includ- ing an evolving microstructure

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Parallel two-scale finite element imple- mentation of a system with varying microstructures

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Distributed microstructure models of porous media

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R The MathWorks Inc. Partial Differential Equation Toolbox

Reference 31

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Lorentz estimates for the gradient of weak solutions to elliptic obstacle problems with partially BMO coefficients

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Homogenisation of local colloid evolution induced by reaction and diffusion

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A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R Coupling scales in process-based soil organic carbon modeling including dynamic aggregation

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