Paper Citation Record · LEDGER

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.03153.

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pith.paper-citation-record.v1
2506.03153 v1

Coverage vector

measured 38 of 38 reference resolution

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measured 38 of 38 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 31e12479-7284-4b50-9d97-dc17ff0271a5 · outbound

This paper cites High-performance stock index trading via neural networks and trees.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction High-performance stock index trading via neural networks and trees

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.396248Z

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Observation 918d5e1b-d2f7-47c9-85ab-c5f3f76e8882 · outbound

This paper cites Modeling the momentum spillover effect for stock prediction via attribute-driven graph attention networks.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Modeling the momentum spillover effect for stock prediction via attribute-driven graph attention networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.382588Z

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Observation 60b47baa-6d96-48c0-8184-2231723a9ad4 · outbound

This paper cites On index investing.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction On index investing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.368339Z

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Observation 69fe2e2b-8dcc-4c48-a20b-a5d9753f4785 · outbound

This paper cites Forecasting of stock prices using multi layer perceptron.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Forecasting of stock prices using multi layer perceptron

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.356269Z

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Observation e1b88a68-2dc4-499a-946e-d1db256eb389 · outbound

This paper cites Hierarchical multi-scale gaussian transformer for stock movement prediction.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Hierarchical multi-scale gaussian transformer for stock movement prediction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.344153Z

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Observation 56b37253-6431-4d2b-9f9f-b18eb98951b3 · outbound

This paper cites Stockmixer: A simple yet strong mlp-based architecture for stock price forecasting.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Stockmixer: A simple yet strong mlp-based architecture for stock price forecasting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.330918Z

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Observation a1f23cc8-1ee7-4063-b54a-33ab140b2edb · outbound

This paper cites Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Reference 7

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Observation a901a5ff-50b8-4f54-9925-6ba42498e1a2 · outbound

This paper cites Deep learning with long short-term memory networks for financial market predictions.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Deep learning with long short-term memory networks for financial market predictions

Reference 8

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Observation 6609f92c-3941-41bb-9491-6c13ed0e5a6d · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Understanding the difficulty of training deep feedforward neural networks

Reference 9

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Observation 1e087ce0-a1d4-4f92-b227-1c12c29a68a0 · outbound

This paper cites Long short-term memory.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Long short-term memory

Reference 10

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Observation aa736705-ddaa-4ec2-86c9-c3264cd1705b · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:39:29.799572Z

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Observation a0c8bf72-bda3-4c87-8b25-b032c04891ba · outbound

This paper cites Long short-term memory.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Long short-term memory

Reference 12

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Observation e594008b-e684-4048-b598-3b5c3b0a01d4 · outbound

This paper cites Efficient integration of multi-order dynamics and internal dynamics in stock movement prediction.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Efficient integration of multi-order dynamics and internal dynamics in stock movement prediction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.279413Z

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Observation 18478701-c8a2-4e4c-bc6f-8012c23e86a3 · outbound

This paper cites An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.267596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67c11e45-5c0e-40d9-8072-4547add46378 · outbound

This paper cites Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the istanbul stock exchange.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the istanbul stock exchange

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.257231Z

Source-reported events for the cited work

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Observation fe3031ae-bfc0-43c5-b88d-ee35a2e8a08a · outbound

This paper cites Performance of deep learning in prediction of stock market volatility.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Performance of deep learning in prediction of stock market volatility

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.246122Z

Source-reported events for the cited work

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Observation 667ae48c-4930-4092-8b51-0497e375d9e5 · outbound

This paper cites Master: Market-guided stock transformer for stock price forecasting.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Master: Market-guided stock transformer for stock price forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.234914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b7aa546-fd2f-4f95-a084-b96a24e6dabb · outbound

This paper cites Forecasting international equity market volatility: A new approach.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Forecasting international equity market volatility: A new approach

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.223584Z

Source-reported events for the cited work

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Observation 706619f6-b246-4cd7-ad1e-4d4df723fc8c · outbound

This paper cites Forecasting stock index price using the ceemdan-lstm model.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Forecasting stock index price using the ceemdan-lstm model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.212550Z

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Observation 47d51a9c-42e5-436c-99ca-02472041fbf6 · outbound

This paper cites Enhanced stock price prediction with optimized ensemble modeling using multi-source heterogeneous data: Integrating lstm attention mechanism and multidimensional gray model.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Enhanced stock price prediction with optimized ensemble modeling using multi-source heterogeneous data: Integrating lstm attention mechanism and multidimensional gray model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.200964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04753d4c-cd21-4a0d-856c-efb40f4b9ec3 · outbound

This paper cites Hybridization of arima with learning models for forecasting of stock market time series.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Hybridization of arima with learning models for forecasting of stock market time series

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.190268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf7bc856-c91c-4eb3-bdcc-fb2aed02ba02 · outbound

This paper cites Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.179366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b597dc2-7c44-4997-8ce4-d0e5dacb8c9d · outbound

This paper cites Application of lstm, gru and ica for stock price prediction.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Application of lstm, gru and ica for stock price prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.168469Z

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Observation 6ab05c96-5bbc-45c8-9e3b-f316a9bec1f4 · outbound

This paper cites Regression as classification: Influence of task formulation on neural network features.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Regression as classification: Influence of task formulation on neural network features

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.158108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44488e12-a332-4a31-b837-d9c21fb08910 · outbound

This paper cites Series decomposition transformer with period-correlation for stock market index prediction.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Series decomposition transformer with period-correlation for stock market index prediction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.146617Z

Source-reported events for the cited work

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Observation e8533eb2-4ac2-4414-b462-abe35bdaec5f · outbound

This paper cites Deep learning for time series forecasting: a survey.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Deep learning for time series forecasting: a survey

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.135632Z

Source-reported events for the cited work

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Observation 64a6ed59-cd7d-461e-a2de-1c795e2976c5 · outbound

This paper cites Gomez, ukasz Kaiser, and Illia Polosukhin.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Gomez, ukasz Kaiser, and Illia Polosukhin

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.123375Z

Source-reported events for the cited work

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Observation af268ed1-7062-4b59-8bbf-0b4e99ef324f · outbound

This paper cites Stock market index prediction based on reservoir computing models.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Stock market index prediction based on reservoir computing models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.110403Z

Source-reported events for the cited work

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Observation 0d782277-06d3-4273-ae76-ea7d3c6caf6e · outbound

This paper cites Stock market index prediction using deep transformer model.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Stock market index prediction using deep transformer model

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.098626Z

Source-reported events for the cited work

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Observation 23ed205a-7431-4400-957e-f570ac892d4b · outbound

This paper cites Adaptive long-short pattern transformer for stock investment selection.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Adaptive long-short pattern transformer for stock investment selection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.085963Z

Source-reported events for the cited work

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Observation fbe37ee8-5e65-456d-be1e-f97835c7287e · outbound

This paper cites A graph-based approach to multi-source heterogeneous information fusion in stock market.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction A graph-based approach to multi-source heterogeneous information fusion in stock market

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.073124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 653b3b72-6149-443e-9341-90020d9c4e42 · outbound

This paper cites Categorical deep learning for multi-asset portfolio optimization.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Categorical deep learning for multi-asset portfolio optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.061470Z

Source-reported events for the cited work

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Observation 5ce5499f-e61d-48ec-8c46-87f04d5f0122 · outbound

This paper cites Relation-aware transformer for portfolio policy learning.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Relation-aware transformer for portfolio policy learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.048228Z

Source-reported events for the cited work

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Observation 158bb45e-4ead-4a27-9357-50d2cf1407c7 · outbound

This paper cites A self-attention-based stock prediction method using long short-term memory network architecture.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction A self-attention-based stock prediction method using long short-term memory network architecture

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.031815Z

Source-reported events for the cited work

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Observation 41ad10b0-7f22-433d-9a81-962300140286 · outbound

This paper cites Stock market prediction via multi-source multiple instance learning.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Stock market prediction via multi-source multiple instance learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:30.011772Z

Source-reported events for the cited work

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Observation 030c4e10-65ae-4f89-bc34-178a32e9359a · outbound

This paper cites A hybrid approach of wavelet transform, arima and lstm model for the share price index futures forecasting.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction A hybrid approach of wavelet transform, arima and lstm model for the share price index futures forecasting

Reference 36

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Source-reported events for the cited work

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Observation ebdf81b9-ab0b-4367-a3e8-980d6c6b366a · outbound

This paper cites Discrete representation strategies for foreign exchange prediction.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction Discrete representation strategies for foreign exchange prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:39:29.984466Z

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Observation 46968a88-d58e-421e-bb12-d6420776be33 · outbound

This paper cites write newline.

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction write newline

Reference 38

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