Paper Citation Record · LEDGER

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2501.09760.

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

pith.paper-citation-record.v1
2501.09760 v1

Coverage vector

measured 44 of 44 reference resolution

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4eda3595-14b4-4ef1-b28b-22e9f89c9f34 · outbound

This paper cites A stock market trends analysis of reliance using machine learn- ing techniques.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A stock market trends analysis of reliance using machine learn- ing techniques

Reference 1

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Observation 5105e01c-8055-4992-afd3-000b9af19760 · outbound

This paper cites Progress and prospects of data-driven stock price fore- casting research.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Progress and prospects of data-driven stock price fore- casting research

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.976753Z

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Observation 0cd7189b-2dbd-4680-a0ba-ff52fbac4ab3 · outbound

This paper cites A study of the impact of covid-19 on the chinese stock market based on a new textual multiple arma model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A study of the impact of covid-19 on the chinese stock market based on a new textual multiple arma model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.961406Z

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Observation 05e1fa57-f008-4bd7-b28e-9f66efd5aa6a · outbound

This paper cites Stock price prediction using the arima model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price prediction using the arima model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.943797Z

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Observation 4c2fd36e-5e4a-42aa-bfd7-ec1a9d586318 · outbound

This paper cites Stock return prediction under garch—an empirical assessment.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock return prediction under garch—an empirical assessment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.926832Z

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Observation 826ffc3b-b535-48e6-a2e5-572b36bebb86 · outbound

This paper cites Fore- casting indonesian stock index using arma-garch model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Fore- casting indonesian stock index using arma-garch model

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.908672Z

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Observation f14322dd-bdef-431c-937e-f4d0eb7d7c48 · outbound

This paper cites Comparison of arima, ann and lstm for stock price prediction.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Comparison of arima, ann and lstm for stock price prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.892190Z

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Observation 504898db-a7e7-4a1c-9b03-04186e7c3e52 · outbound

This paper cites China’s com- mercial bank stock price prediction using a novel k-means- lstm hybrid approach.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure China’s com- mercial bank stock price prediction using a novel k-means- lstm hybrid approach

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.877607Z

Source-reported events for the cited work

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Observation 46fdf70f-5985-493d-af36-cabea77ceb72 · outbound

This paper cites A new cnn-based model for financial time series: Taiex and ftse stocks fore- casting.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A new cnn-based model for financial time series: Taiex and ftse stocks fore- casting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.861074Z

Source-reported events for the cited work

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Observation ed5887d5-e988-45cd-af99-565d6b5fba21 · outbound

This paper cites Stock price prediction using rnns: A 10 Figure 12.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price prediction using rnns: A 10 Figure 12

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.844758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 312b7050-bf63-49a6-bc61-4ae431f0eac9 · outbound

This paper cites A graph-based cnn-lstm stock price prediction algorithm with leading indicators.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A graph-based cnn-lstm stock price prediction algorithm with leading indicators

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.827755Z

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Observation 9ace3679-755e-42c5-bf48-603595c694f4 · outbound

This paper cites Graph-based stock correlation and prediction for high-frequency trading systems.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Graph-based stock correlation and prediction for high-frequency trading systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.811148Z

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Observation 1acc774d-1f83-4980-9e1e-ae5131ef9a26 · outbound

This paper cites Inte- grated gcn-lstm stock prices movement prediction based on knowledge-incorporated graphs construction.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Inte- grated gcn-lstm stock prices movement prediction based on knowledge-incorporated graphs construction

Reference 13

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Observation e4cd119a-1a67-4d2c-bc3a-6c04b5a816ba · outbound

This paper cites Stock market index prediction using transformer neural network models and frequency decomposition.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock market index prediction using transformer neural network models and frequency decomposition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.778284Z

Source-reported events for the cited work

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Observation e6a51eef-99fc-4ce9-9a38-23b52657d667 · outbound

This paper cites Data-driven stock forecasting models based on neural networks: A review.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Data-driven stock forecasting models based on neural networks: A review

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.763081Z

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Observation c3194f57-55c6-44d6-8623-91a570ffa1d5 · outbound

This paper cites Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method

Reference 16

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Observation 9a73b344-c969-43c9-95c1-2a06dfb1d0b4 · outbound

This paper cites A Margin-Maximizing Fine-Grained Ensemble Method.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A Margin-Maximizing Fine-Grained Ensemble Method

Reference 17

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This paper cites A survey on ensemble learning.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A survey on ensemble learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.749573Z

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Observation 8f185976-15d4-48fd-a5d8-e36efa22d882 · outbound

This paper cites Application of 11 an ann and lstm-based ensemble model for stock market pre- diction.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Application of 11 an ann and lstm-based ensemble model for stock market pre- diction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.730793Z

Source-reported events for the cited work

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Observation 2c759f40-728e-421c-8108-3e19eb8a9c31 · outbound

This paper cites Stock market prediction with time series data and news headlines: a stacking ensem- ble approach.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock market prediction with time series data and news headlines: a stacking ensem- ble approach

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.713201Z

Source-reported events for the cited work

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Observation f981d00b-4d81-48c4-b2df-9b575428ac0b · outbound

This paper cites An effective time series analysis for stock trend prediction using arima model for nifty midcap-50.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure An effective time series analysis for stock trend prediction using arima model for nifty midcap-50

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.688646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8cf2a40-ecb9-492a-a94a-b8d6c9660084 · outbound

This paper cites Stock price pre- diction using arima model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price pre- diction using arima model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.671271Z

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Observation 87d047a8-e1a7-4549-8301-a0d8223ffcac · outbound

This paper cites Prediction of popular global stock in- dexes volatility by using arch/garch models.GARCH Models (July 24, 2024), 2024.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Prediction of popular global stock in- dexes volatility by using arch/garch models.GARCH Models (July 24, 2024), 2024

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 91c7ef77-22bb-4740-ad6f-9ab07a32cac6 · outbound

This paper cites Stock market prediction using hidden markov models.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock market prediction using hidden markov models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.638389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 12d5deb3-d3c3-4660-a78c-d28fcd596f6c · outbound

This paper cites Research on hmm-based efficient stock price prediction.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Research on hmm-based efficient stock price prediction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.620145Z

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Observation f4d07e67-b37e-4f9d-8967-a737af770585 · outbound

This paper cites Network log-arch models for forecasting stock market volatility.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Network log-arch models for forecasting stock market volatility

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.600070Z

Source-reported events for the cited work

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Observation 84653ec1-e91d-40f6-a09d-b0c5398984d9 · outbound

This paper cites Stock price prediction: a comparative study between traditional statisti- cal approach and machine learning approach.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price prediction: a comparative study between traditional statisti- cal approach and machine learning approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.578992Z

Source-reported events for the cited work

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Observation a996178b-fd37-4d67-bd59-9df993096b01 · outbound

This paper cites Stock closing price prediction using machine learning techniques.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock closing price prediction using machine learning techniques

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.561690Z

Source-reported events for the cited work

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Observation 45bc5526-235b-47fa-ad54-86d6914d55b2 · outbound

This paper cites Stock price prediction using machine learning and lstm-based deep learning models.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price prediction using machine learning and lstm-based deep learning models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.544157Z

Source-reported events for the cited work

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Observation 6ef73e2f-c3a6-4da5-8d6c-e2f24b5ac1df · outbound

This paper cites Multivariate and multi-task deep learning architectures for improved stock market prediction and risk management.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Multivariate and multi-task deep learning architectures for improved stock market prediction and risk management

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.515099Z

Source-reported events for the cited work

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Observation cd31b4bc-6252-4ad2-8124-2c8c7b899408 · outbound

This paper cites Stock movement prediction: A multi-input lstm approach.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock movement prediction: A multi-input lstm approach

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.492259Z

Source-reported events for the cited work

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Observation 370191af-3a41-4e18-a482-c0c7307a625f · outbound

This paper cites A multifactor analysis model for stock market prediction.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure A multifactor analysis model for stock market prediction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.473846Z

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Observation 9160e4c1-ef06-458f-b959-ad415d48ebe3 · outbound

This paper cites Hybrid intelligent systems for stock market analysis.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Hybrid intelligent systems for stock market analysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.457535Z

Source-reported events for the cited work

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Observation 5a0b1244-9a5a-4920-a0ae-a667c2e48846 · outbound

This paper cites Stock mar- ket analysis: A review and taxonomy of prediction tech- niques.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock mar- ket analysis: A review and taxonomy of prediction tech- niques

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.441013Z

Source-reported events for the cited work

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Observation 709991a8-5a9c-454d-9c2c-5aa10ad1bbfa · outbound

This paper cites Stock price prediction based on arima-rnn combined model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price prediction based on arima-rnn combined model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.422948Z

Source-reported events for the cited work

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Observation 02c49612-c994-4d67-b62a-ac17f0a63a4d · outbound

This paper cites Research on stock index prediction based on arima-cnn-lstm model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Research on stock index prediction based on arima-cnn-lstm model

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.398832Z

Source-reported events for the cited work

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Observation 5c5cd863-c835-4ca1-98e2-7c69829245c2 · outbound

This paper cites Stock price prediction based on lstm and lightgbm hybrid model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Stock price prediction based on lstm and lightgbm hybrid model

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.381224Z

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Observation f6e641b9-84aa-4da6-80b0-86d30cb398e7 · outbound

This paper cites Modal decomposition-based hybrid model for stock index predic- tion.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Modal decomposition-based hybrid model for stock index predic- tion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.361755Z

Source-reported events for the cited work

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Observation 5ad1f7dc-4c0e-4942-9eaf-1587d3ef7633 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure KAN: Kolmogorov-Arnold Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:58.048232Z

Source-reported events for the cited work

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Observation e520fa84-4ed3-417a-847d-5960dd833609 · outbound

This paper cites Kolmogorov-arnold networks (kans) for time series analysis.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Kolmogorov-arnold networks (kans) for time series analysis

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T22:43:58.055060Z

Source-reported events for the cited work

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Observation 7aa846cc-8603-4255-ba37-f5c0089fba0a · outbound

This paper cites Exploring the efficient market hypothesis for accurate stock movement prediction via feature-axis transformer.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Exploring the efficient market hypothesis for accurate stock movement prediction via feature-axis transformer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.346626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea422978-204b-4ca8-aed9-14d7588c3a38 · outbound

This paper cites Predicting stock prices using hybrid lstm and arima model.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Predicting stock prices using hybrid lstm and arima model

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.329885Z

Source-reported events for the cited work

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Observation fa5ee9d6-0029-4fff-b514-d4318e968d74 · outbound

This paper cites Attention based hybrid parametric and neural network models for non-stationary time series prediction.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Attention based hybrid parametric and neural network models for non-stationary time series prediction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.305017Z

Source-reported events for the cited work

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Observation ff85f856-5127-4c52-b8b7-a82c34701c06 · outbound

This paper cites Prediction of stock price model through the implementation of hybrid bilstm-gru.

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure Prediction of stock price model through the implementation of hybrid bilstm-gru

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:43:58.284337Z

Source-reported events for the cited work

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