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Paper Citation Record · LEDGER

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2412.16160.

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

pith.paper-citation-record.v1
2412.16160 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:08:13.421354Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:44:13.770288Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:44:14.341639Z

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef142fe0-2d40-43f4-9b05-e0123a05a9d3 · outbound

This paper cites Random Forest.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Random Forest

Reference 1

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Observation c4a86d4e-4020-4a4d-9f69-2fa805b43ae0 · outbound

This paper cites Variable selection using mean decrease accuracy and mean decrease gini based on random forest.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Variable selection using mean decrease accuracy and mean decrease gini based on random forest

Reference 2

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Observation 338afc85-5173-42ac-8d42-1d248704443c · outbound

This paper cites Understanding variable importances in forests of randomized trees.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Understanding variable importances in forests of randomized trees

Reference 3

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Observation 4ae772c1-2683-42be-9ec2-0813975cfd01 · outbound

This paper cites A debiased MDI feature importance measure for random forests.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A debiased MDI feature importance measure for random forests

Reference 4

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Observation f94305dd-e9a8-4fb4-9099-934a3ddc651e · outbound

This paper cites From global to local MDI variable importances for random forests and when they are Shapley values.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks From global to local MDI variable importances for random forests and when they are Shapley values

Reference 5

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Observation 26aa1b28-4d06-45b1-a02b-94b3a6c3de66 · outbound

This paper cites Machine Learning Models Based on Random Forest Feature Selection and Bayesian Optimization for Predicting Daily Global Solar Radia- tion.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Machine Learning Models Based on Random Forest Feature Selection and Bayesian Optimization for Predicting Daily Global Solar Radia- tion

Reference 6

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Observation 6405e4b5-01a3-468f-a392-27559525491c · outbound

This paper cites Machine learning tech- niques for short term stock movements classification for Moroccan stock exchange.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Machine learning tech- niques for short term stock movements classification for Moroccan stock exchange

Reference 7

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0b2d1a63-9057-4c72-bb73-85d73df83877 · outbound

This paper cites Predictive analysis of stocks using data minin.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Predictive analysis of stocks using data minin

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6f6a49b0-bf66-4c76-92d5-f97288f61b73 · outbound

This paper cites Advances in financial machine learning.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Advances in financial machine learning

Reference 9

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Observation 0bb26e20-6cc3-4390-a908-c00a1bea8c60 · outbound

This paper cites A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm

Reference 10

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Source-reported events for the cited work

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Observation be251c24-2c7d-4076-9e13-3bbcaf462582 · outbound

This paper cites M ´ethode g ´en´erale pour la r ´esolution des syst `emes d’´equations simultan´ees.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks M ´ethode g ´en´erale pour la r ´esolution des syst `emes d’´equations simultan´ees

Reference 11

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Source-reported events for the cited work

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Observation e46923ad-f2cf-4c6c-acc0-679d56e0864a · outbound

This paper cites A generalized normalized gradient descent algo- rithm.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A generalized normalized gradient descent algo- rithm

Reference 12

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Observation 0db0f822-5d4d-4ca9-b7fa-264d9aedbf64 · outbound

This paper cites Boosting algorithms as gradient descent.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Boosting algorithms as gradient descent

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5cfa3d3d-508d-4611-af92-b14db226fbd3 · outbound

This paper cites Large-scale matrix factorization with distributed stochastic gradient descent.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Large-scale matrix factorization with distributed stochastic gradient descent

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3a01a5a8-2263-46bf-8c24-c9159f87d089 · outbound

This paper cites The global k-means clustering algorithm.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks The global k-means clustering algorithm

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fa1a47c6-fdcd-4343-8a32-51d7339e4577 · outbound

This paper cites A sequential multi-category classifier using radial basis function networks.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A sequential multi-category classifier using radial basis function networks

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1090f832-715a-4cd9-831d-6683ba5f0d73 · outbound

This paper cites A comparative study of radial basis function network with different basis functions for stock trend prediction.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A comparative study of radial basis function network with different basis functions for stock trend prediction

Reference 17

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Observation 54e0587f-0dc9-4a0d-ba3a-7069387ab5db · outbound

This paper cites A hybrid two-stage finan- cial stock forecasting algorithm based on clustering and ensemble learning.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A hybrid two-stage finan- cial stock forecasting algorithm based on clustering and ensemble learning

Reference 18

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Observation d24fc023-f4b8-442d-90e9-848ad6b807d8 · outbound

This paper cites Three automated stock-trading agents: A comparative study.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Three automated stock-trading agents: A comparative study

Reference 19

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Observation b4899a54-93e5-45ff-9ad8-d343a4bdff70 · outbound

This paper cites Automated feature selection of predictors in electronic medical records data.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Automated feature selection of predictors in electronic medical records data

Reference 20

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Observation e6406ada-6bb9-4ea3-b7f3-44898d303f02 · outbound

This paper cites Novel modelling strategies for high-frequency stock trading data.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Novel modelling strategies for high-frequency stock trading data

Reference 21

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Observation 63e5e58d-6568-4a72-8428-7a26515c5002 · outbound

This paper cites How well do investor sentiment and ensemble learning predict Bitcoin prices?.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks How well do investor sentiment and ensemble learning predict Bitcoin prices?

Reference 22

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Observation be5a6268-a426-4012-b127-34cacb3f046c · outbound

This paper cites Predictive model for water absorption in sublayers using a machine learning method.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Predictive model for water absorption in sublayers using a machine learning method

Reference 23

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Observation 07ae7800-c571-4e16-be53-28003b086c66 · outbound

This paper cites Po- tential of reducing crop insurance subsidy based on willingness to pay and random forest analysis.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Po- tential of reducing crop insurance subsidy based on willingness to pay and random forest analysis

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e0241312-6a62-43e8-a62f-3469ff7395a1 · outbound

This paper cites A random forests approach to predicting clean energy stock prices.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks A random forests approach to predicting clean energy stock prices

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 054446e4-ed64-4b79-aa41-8e6eabc771ef · outbound

This paper cites Machine learning for asset managers.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Machine learning for asset managers

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3cfb0ad8-1d2c-4284-b1fd-17e10fa31206 · outbound

This paper cites Gradient descent learning algorithm overview: A general dynamical systems perspective.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Gradient descent learning algorithm overview: A general dynamical systems perspective

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 102dbd53-12cd-4df1-9d23-b4d4fc321b74 · outbound

This paper cites Gradient descent for general reinforce- ment learning.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Gradient descent for general reinforce- ment learning

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 17d9c1d8-bb33-492b-8230-d084292c4e27 · outbound

This paper cites K-means clustering: a half-century synthesis.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks K-means clustering: a half-century synthesis

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1b6c39bb-1eb8-4a78-b074-36033b48280b · outbound

This paper cites Clustering Indian stock market data for portfolio management.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Clustering Indian stock market data for portfolio management

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 07bdca63-a963-4aca-8f02-92b8ee53deb8 · outbound

This paper cites an unresolved cited work.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2195d3bb-2327-4453-a409-fc6b91d4e36c · outbound

This paper cites Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc0036da-bb2f-4b59-854e-b47292ced972 · outbound

This paper cites Machine learning for forecasting mid-price movements using limit order book data.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Machine learning for forecasting mid-price movements using limit order book data

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1a6e4017-e745-4e58-afb9-8d09faa1696e · outbound

This paper cites Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T14:08:13.414976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:08:13.414976Z digest=sha256:c2590c0ff58bb70e7c0d02cb7fddb7b517f8f7e9519c0d98e27ccc46b6415c85

Observation ec83d3d8-a2d7-4aa8-91f6-18d5673de0ce · outbound

This paper cites Detection of false investment strategies using unsupervised learning methods.

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks Detection of false investment strategies using unsupervised learning methods

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:08:13.506991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T14:08:13.421354Z digest=sha256:cbbda7fadcb0f69f9307241ef41b588cf2da6fc25efc67c9973d60ed23792e59

Pith citing papers

Observation e86b8eb3-959e-42d0-bc1c-6b74d24356c6 · inbound

Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading cites this paper.

Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:44:14.347505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T00:44:13.770288Z digest=sha256:6188a693cc2ca75c1e0141e57883d8f1e1927ac3f4ff485cc55db39678475891