Paper Citation Record · LEDGER

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2412.10199.

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

pith.paper-citation-record.v1
2412.10199 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:16:56.104726Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:57:17.505692Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:33:59.105187Z

Reference resolution

25 of 25 outbound references displayed

verified exact4
verified fuzzy19
unresolved1
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89a87b6d-ad65-43cb-8ca9-28e5eb1d7f35 · outbound

This paper cites Empirical analysis: Stock market prediction via extreme learning machine,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Empirical analysis: Stock market prediction via extreme learning machine,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.554513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86cafb90-dc0b-4d1c-bcd1-2569af7605e0 · outbound

This paper cites A novel CNN-GRU-based hybrid approach for short-term residential load forecasting,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems A novel CNN-GRU-based hybrid approach for short-term residential load forecasting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.539807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d05cbd87-93f9-4036-997d-feb0b95f79eb · outbound

This paper cites Big data and machine learning in defence,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Big data and machine learning in defence,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.525215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc30c58a-e2ef-4f06-8069-18613c7181a5 · outbound

This paper cites Mopir: a machine-learning- oriented data preprocessing pipeline for precise analysis of infrared spectroscopy,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Mopir: a machine-learning- oriented data preprocessing pipeline for precise analysis of infrared spectroscopy,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.510503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 058d54c4-9d2e-4143-a7c9-ae766d280d8e · outbound

This paper cites Fortifying the global data fortress: a multidimensional examination of cyber security indexes and data protection measures across 193 nations,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Fortifying the global data fortress: a multidimensional examination of cyber security indexes and data protection measures across 193 nations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.495784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bca82d1f-68fe-480f-b6e3-08d83ac8683c · outbound

This paper cites Advanced Financial Fraud Detection Using GNN-CL Model.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Advanced Financial Fraud Detection Using GNN-CL Model

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:16:56.245882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 789540b3-8b48-4e2b-b05e-d5c9d37300e1 · outbound

This paper cites Application of Black-Litterman Bayesian in Statistical Arbitrage.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Application of Black-Litterman Bayesian in Statistical Arbitrage

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:16:56.216779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 130f5435-af28-4b8e-81b1-aaeea197ed0f · outbound

This paper cites Portfolio Optimization with Robust Covariance and Conditional Value-at-Risk Constraints.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Portfolio Optimization with Robust Covariance and Conditional Value-at-Risk Constraints

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:16:56.194020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47639913-96bd-463f-98b6-3f229bb6ef64 · outbound

This paper cites GraphCNNpred: A stock market indices prediction using a Graph based deep learning system.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems GraphCNNpred: A stock market indices prediction using a Graph based deep learning system

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:16:56.174801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b07d0886-62b1-4b79-81e6-863668bc0a55 · outbound

This paper cites Text Sentiment Detection and Classification Based on Integrated Learning Algorithm,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Text Sentiment Detection and Classification Based on Integrated Learning Algorithm,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.480548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f708091-19e7-443d-8fa5-2068a3551529 · outbound

This paper cites Optimization Strategies for Self -Supervised Learning in the Use of Unlabeled Data,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Optimization Strategies for Self -Supervised Learning in the Use of Unlabeled Data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.467467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06475dd9-d595-4420-8edb-9ed489d6f9d8 · outbound

This paper cites Economic prediction using neural networks: The case of IBM daily stock returns,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Economic prediction using neural networks: The case of IBM daily stock returns,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.451416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fe4fa2c-e7ee-4da3-b6cc-4b43aa8912a0 · outbound

This paper cites Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.436281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 956b3a5e-1b6f-4b21-be8f-27f3cb98dd16 · outbound

This paper cites Deep learning for multivariate financial time series,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Deep learning for multivariate financial time series,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.420365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c56d6c0-5fcd-4345-8654-4a8831b2c0df · outbound

This paper cites Stock market's price movement prediction with LSTM neural networks,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Stock market's price movement prediction with LSTM neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.405896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12887b59-714a-4184-9cce-7265463cbcfc · outbound

This paper cites A comparison of ARIMA and LSTM in forecasting time series,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems A comparison of ARIMA and LSTM in forecasting time series,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.392850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93b61e2c-90d1-48c2-8d0e-407d11ee4eb2 · outbound

This paper cites Temporal convolutional networks for stock trend prediction,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Temporal convolutional networks for stock trend prediction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.379736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aca049e7-989a-4e61-ac7d-d79775515dc1 · outbound

This paper cites Attention is all you need,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Attention is all you need,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.364862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27e1ffdc-ea95-4fed-accb-0bbd075a0fe2 · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Are Transformers Effective for Time Series Forecasting?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T16:16:56.082115Z

Source-reported events for the cited work

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Observation 0390e7a2-96a9-4508-adb8-cc453ee803f0 · outbound

This paper cites Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.350086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13b66da8-0bc3-4175-8b7b-de1fb0a53022 · outbound

This paper cites Survival prediction across diverse cancer types using neural networks,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Survival prediction across diverse cancer types using neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.321399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50973598-3a87-498f-b0cd-23f1559c9bfc · outbound

This paper cites Gate-variants of gated recurrent unit (GRU) neural networks,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Gate-variants of gated recurrent unit (GRU) neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.301567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 768e54b0-41d7-4b22-814d-977531283f1e · outbound

This paper cites Forecasting stock market indices using the recurrent neural network based hybrid models: CNN- LSTM, GRU - CNN, and ensemble models,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Forecasting stock market indices using the recurrent neural network based hybrid models: CNN- LSTM, GRU - CNN, and ensemble models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.283077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20d56cae-34e7-4e87-ac1a-9000e41f798f · outbound

This paper cites Investigation of creating accessibility linked data based on publicly available accessibility datasets,.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Investigation of creating accessibility linked data based on publicly available accessibility datasets,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:16:56.267215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38b282ab-361d-41e7-be11-bcb5d6555cd4 · outbound

This paper cites Available: http s://doi.org/10.21203/rs.3.rs- 4477355/v1.

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems Available: http s://doi.org/10.21203/rs.3.rs- 4477355/v1

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-11T16:16:56.007517Z

Source-reported events for the cited work

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Pith citing papers

Observation d640eb79-2fc0-4073-a8f3-11d3c18cc5f1 · inbound

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications cites this paper.

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:57:17.505692Z

Source-reported events for the cited work

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Observation 18fb09a4-8756-4663-9550-1244842af11f · inbound

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks cites this paper.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:33:59.114784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.