Paper Citation Record · LEDGER

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2512.08343.

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

pith.paper-citation-record.v1
2512.08343 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:44:54.997667Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

verified exact11
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8ce7417-8dc1-4050-ab54-80780c18e890 · outbound

This paper cites Prediction of maximum dry density and optimum moisture content of stabilised soil using RBF neural networks,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Prediction of maximum dry density and optimum moisture content of stabilised soil using RBF neural networks,

Reference 1

Resolution: verified exact; doi, observed 2026-08-03T17:48:48.053821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 437e8e53-ae20-4507-8106-6fbb44d2c3c8 · outbound

This paper cites Soil compaction parameters prediction using GMDH -type neural network and genetic algorithm,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Soil compaction parameters prediction using GMDH -type neural network and genetic algorithm,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:52.402584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433922c3-5acd-4d94-bddb-10fc395d4050 · outbound

This paper cites Progressive Machine Learning Approaches for Predicting the Soil Compaction Parameters,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Progressive Machine Learning Approaches for Predicting the Soil Compaction Parameters,

Reference 3

Resolution: verified exact; doi, observed 2026-08-03T17:48:47.783486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3738cd7d-b5eb-4fae-84f8-26b8bc3be290 · outbound

This paper cites Estimation of soil compaction parameters by using statistical analyses and artificial neural networks,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Estimation of soil compaction parameters by using statistical analyses and artificial neural networks,

Reference 4

Resolution: verified exact; doi, observed 2026-08-03T17:48:47.562112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ba521ae-9346-44fd-8545-5df0acbbc3b5 · outbound

This paper cites Estimating compaction parameters of fine - and coarse-grained soils by means of artificial neural networks,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Estimating compaction parameters of fine - and coarse-grained soils by means of artificial neural networks,

Reference 5

Resolution: verified exact; doi, observed 2026-08-03T17:48:47.140221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd9a800d-96bb-44e2-8b3b-a2397ff45ff2 · outbound

This paper cites Predicting the compaction characteristics of expansive soils using two genetic programming -based algorithms,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Predicting the compaction characteristics of expansive soils using two genetic programming -based algorithms,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:52.906574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c2b85c0-cf60-435d-a407-456ed9aed8b3 · outbound

This paper cites Prediction of compaction parameters of soils using artificial neural network,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Prediction of compaction parameters of soils using artificial neural network,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:53.015749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 193ccf3b-d7c4-4386-b4d0-c525f56f4f1b · outbound

This paper cites The performance comparison of the soft computing methods on the prediction of soil compaction parameters,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach The performance comparison of the soft computing methods on the prediction of soil compaction parameters,

Reference 8

Resolution: verified exact; doi, observed 2026-08-03T17:48:46.797919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60bdc299-a24e-48b8-9a44-a6c7f4d0b001 · outbound

This paper cites Artificial Neural Network Prediction Models for Soil Compaction and Permeability,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Artificial Neural Network Prediction Models for Soil Compaction and Permeability,

Reference 9

Resolution: verified exact; doi, observed 2026-08-03T17:48:46.574738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be18f727-f722-43c4-b417-11f93b889c66 · outbound

This paper cites Prediction of Maximum Dry Density and Unconfined Compressive Strength of Cement Stabilised Soil Using Artificial Intelligence Techniques,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Prediction of Maximum Dry Density and Unconfined Compressive Strength of Cement Stabilised Soil Using Artificial Intelligence Techniques,

Reference 10

Resolution: malformed identifier; doi_truncated, observed 2026-08-03T17:48:46.416538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9c65ce4-1649-4a86-9ad3-c87a7cd412c7 · outbound

This paper cites Multi -layer perceptron (MLP) neural network for predicting the modified compaction parameters of coarse -grained and fine-grained soils,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Multi -layer perceptron (MLP) neural network for predicting the modified compaction parameters of coarse -grained and fine-grained soils,

Reference 11

Resolution: verified exact; doi, observed 2026-08-03T17:48:46.237195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9828880a-dd61-430e-bd01-7b6e7087661e · outbound

This paper cites High performance prediction of soil compaction parameters using multi expression programming,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach High performance prediction of soil compaction parameters using multi expression programming,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:53.746967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b00e3b-b841-492a-8220-8d0f303d3bf4 · outbound

This paper cites Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:53.891710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e548f2ec-26b4-44cd-a8d0-0be61f2f4cc0 · outbound

This paper cites Landslide Susceptibility Assessment Using an AutoML Framework,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Landslide Susceptibility Assessment Using an AutoML Framework,

Reference 14

Resolution: verified exact; doi, observed 2026-08-03T17:48:45.754740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6404b63-a230-42b8-bb0c-b4bce99d4fc2 · outbound

This paper cites Prediction of Landslides and Determination of Its Variable Importance Using AutoML,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Prediction of Landslides and Determination of Its Variable Importance Using AutoML,

Reference 15

Resolution: verified exact; doi, observed 2026-08-03T17:48:45.524855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c737166-09c5-4cb4-99d5-4b2683856b80 · outbound

This paper cites Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach,

Reference 16

Resolution: verified exact; doi, observed 2026-08-03T17:48:45.314195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03570b9f-daf3-4cba-ac32-740b012f0ee8 · outbound

This paper cites Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach,

Reference 17

Resolution: verified exact; doi, observed 2026-08-03T17:48:44.995387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81685c4e-b94a-4cee-bbe6-505c9aa64522 · outbound

This paper cites Prediction of compaction characteristics of over -consolidated soils,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Prediction of compaction characteristics of over -consolidated soils,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:54.620076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb057b34-a675-48d1-9eae-5f67c7351f64 · outbound

This paper cites Yapay sinir ağları yaklaşımı ile kompaksiyon parametrelerinin tahmini,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Yapay sinir ağları yaklaşımı ile kompaksiyon parametrelerinin tahmini,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:54.724403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4d22b9-dbd6-4910-a944-9cd2a86282df · outbound

This paper cites Determination of compaction parameters by means of regression approaches,.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach Determination of compaction parameters by means of regression approaches,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:54.868122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d052f24-1d08-48cc-ab46-1f0a7f870d44 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:54.997667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.